442 KiB
ArXiv Findings — Auto-Mapped to Unified Equation
Generated: 2026-05-05T08:15:01.576666 Papers: 500 Equation: Ω = Ψ [ B(θ) ⊗ C(n, α) ] ⊕ Δ(n, θ, α)
1. Landau levels via Jordan superalgebras
Source: http://arxiv.org/abs/2605.02847v1 (2026)
Summary: The goal of this note is to show that Jordan algebras and superalgebras provide an elegant and concise language for formulating quantum mechanical problems with inherent (super)conformal symmetry. The superconformal symmetries of the quantum MICZ-Kepler model and its dual oscillator realization in {\mathbb R}^2 are reviewed through the lens of the Tits-Kantor-Koecher correspondence: Kaplansky {\mathfrak J} {\mathbb R}^{1|2} and Exceptional {\mathfrak J} F^{6|4} Jordan superalgebras provi
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
2. Albertian Channel Memory in Black-Hole Evaporation
Source: http://arxiv.org/abs/2605.02792v1 (2026)
Summary: The AMPS paradox assumes a globally associative tensor-product stage for the early radiation, the exterior Hawking mode, and the interior partner. We study a retained attractor sector of octonionic magical supergravity whose horizon symbols form the Albert algebra J3(O). This induces an Albertian algebraic-quantum description: states are positive normalized functionals, events are Jordan idempotents, reversible motions are algebra automorphisms, and ordinary quantum mechanics is recovered on ass
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
3. Absence of Quantum-Metric-Induced Intrinsic Longitudinal Response
Source: http://arxiv.org/abs/2605.02750v1 (2026)
Summary: Nonlinear charge transport in solids has emerged as a powerful probe of the quantum geometric properties of Bloch electrons. While the Berry curvature underlies the intrinsic anomalous Hall effect, recent studies have suggested that the quantum metric may generate both \emph{intrinsic} nonlinear Hall and longitudinal transport. Here, using standard quantum-mechanical perturbation theory, we demonstrate that the quantum-metric-induced intrinsic longitudinal response identically vanishes, even tho
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
4. High-Q cryogenic surface acoustic wave resonators in the GHz range
Source: http://arxiv.org/abs/2605.02722v1 (2026)
Summary: Surface acoustic wave (SAW) resonators provide a compact platform for confining microwave-frequency phonons and are widely used in radio-frequency technologies, but their operation at gigahertz frequencies and cryogenic temperatures remains challenging. In this regime, conventional design rules do not directly apply, and achieving high-quality acoustic confinement requires careful consideration about geometry and loss mechanisms. Here, we present a systematic experimental study of SAW resonators
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
5. Astrochemical Inheritance of Terrestrial Planets Water from Local Wet Silicates
Source: http://arxiv.org/abs/2605.02637v1 (2026)
Summary: The delivery of water to the inner Solar System rocky planets, including Earth, remains debated, as standard models assume that they formed from dry grains, inside the snowline of the protosolar nebula. However, a recent work showed that a not-negligible amount of water formed during the prestellar phase could have been retained by pebbles and planetesimals at the Earth's orbit in enough quantities to reproduce its water content. This study was based based on quantum mechanics (QM) calculations
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
6. Revisiting semiclassical scalar QED in 1+1 dimensions
Source: http://arxiv.org/abs/2605.02570v1 (2026)
Summary: We study the backreaction of a charged scalar quantum field in the presence of two opposite charges placed at the boundaries of a finite one-dimensional region, with attention to boundary effects. We review, correct, and extend previous corresponding work of Ambjørn & Wolfram \cite{ambjorn_properties_1983}. Despite notable differences, our analysis confirms the mechanism, discussed by Ambjørn & Wolfram, by which the incorporation of backreaction avoids certain instabilities. We also observe th
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
7. Injection of orbital angular momentum into transition metals from first-principles
Source: http://arxiv.org/abs/2605.02548v1 (2026)
Summary: We use quantum mechanical scattering calculations implemented in a basis of tight-binding muffin-tin orbitals to calculate nonequilibrium spin and orbital currents in transition metals with a view to understanding the length scale on which they decay. In the case of spin currents, the relaxation length, called the spin-flip diffusion length, is reasonably well understood. We apply our experience with spin currents to study orbitally-polarized currents and find that they behave qualitatively diff
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
8. Geometric QCD III: Exact transition amplitudes and the glueball spectrum
Source: http://arxiv.org/abs/2605.02373v1 (2026)
Summary: We complete the analysis of planar Makeenko--Migdal loop equations in the continuum limit. Using the confining twistor-string representation, we compute the quantum fluctuation determinant. In Minkowski space, this reduces to a discrete product of finite-dimensional matrix quadratures. The $ζ$-regularized weight is independent of winding number w. Near the mass shell, the pole singularity is generated by w \to \infty, suppressing fluctuation variance as 1/w. The path integral localizes on
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
9. Relativistic Feshbach-Villars Equation for Two Spin-0 Particles
Source: http://arxiv.org/abs/2605.02161v1 (2026)
Summary: The Feshbach-Villars version of the relativistic quantum mechanics can be extended for two-body systems in such a way that the center-of-mass motion is separated off. The procedure results in an equation of Feshbach-Villars-type in terms of the relative coordinate.
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
10. Ergodic and Discrete Time Crystal Phases in Periodically Kicked Many-Body Quantum Systems: An Analytical Study
Source: http://arxiv.org/abs/2605.01969v1 (2026)
Summary: We analytically study the time evolution of the expectation values of observables in periodically kicked many-body quantum systems. Starting from an initial state, we compute both the transient and the long-time properties of the observables. Our derivation explains the criteria and the mechanism that lead to the infinite-temperature statistical average of observables at long times, irrespective of the initial state. When the criteria are violated, the observables oscillate with time. These osci
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
11. Confinement of Massive Ghost in Quadratic Gravity
Source: http://arxiv.org/abs/2605.01966v1 (2026)
Summary: In the framework of the covariant canonical formalism of quadratic gravity, we consider the problem of confinement of massive ghost which violates the unitarity of the physical S-matrix. It is shown that if there is a bound state between the massive ghost and Faddeev-Popov ghost the massive ghost is confined in the zero-norm states through the BRST quartet mechanism, thereby the unitarity being restored. Based on the superfield formulation by Bonora and Tonin, we show that the asymptotic field o
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
12. Schur States, Average Mixing, and Counting Trees on Line Graphs' CTQW
Source: http://arxiv.org/abs/2605.01953v1 (2026)
Summary: We introduce a family of complex-valued edge weights on a finite simple graph \G arising from a continuous-time quantum walk on the line graph \ell\G, packaged as the \emph{Schur state}: an n \times n Hermitian matrix encoding the amplitudes of an edge-state walk. The entrywise modulus square induces a real-weighted adjacency matrix A(e) and Laplacian L(e), and time-averaging yields a weighted graph whose spanning-tree count we relate to that of \G. Our main result is [ tn!\left(
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
13. Expectation Pauli-Lubanski vector and intrinsic angular momentum of relativistic wavepackets
Source: http://arxiv.org/abs/2605.01932v1 (2026)
Summary: In non-relativistic mechanics, the total (orbital) angular momentum (AM) of a spatially-distributed system can be decomposed into intrinsic and extrinsic contributions. In relativistic quantum mechanics, intrinsic AM is typically associated with spin, which can be described using the Pauli-Lubanski four-vector. Here, we develop a unified formalism that combines the main features of both approaches and describes the intrinsic AM of a relativistic wavepacket, including both spin and orbital contri
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
14. Reevaluation of Inflationary Dynamics in Extended General Relativity with Perturbatively and Tensorially Structured Conformal Metric
Source: http://arxiv.org/abs/2605.01619v1 (2026)
Summary: Based on the conventional metric tensor and driven by a nearly constant energy density, cosmic inflation, characterized by a remarkably accelerated expansion, was proposed as an early epoch in the Universe. The energy density is typically modeled through a slow-rolling scalar field, whose potential energy dominates the dynamics. This mechanism addresses horizon, flatness, and relic problems, while also generating quantum fluctuations that are stretched to cosmological scales, leading to emergenc
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
15. From Qubit to Qubit: A Graduate Course in Quantum Mechanics
Source: http://arxiv.org/abs/2605.01585v1 (2026)
Summary: This textbook is drawn from notes for a two-semester graduate course in quantum mechanics. It begins with the most constrained quantum system, and recovers the rest of the subject by relaxing those constraints one at a time. The starting point is a single qubit, the smallest nontrivial Hilbert space with the strongest possible restriction on its dynamics, made concrete by a Bloch cube whose six faces are the cardinal states of a spin-1/2 system. Tensor products admit many qubits; lattices give t
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
16. NEGF Modeling of Impact Ionization in Semiconductor Avalanche Photodiodes for Quantum Networking
Source: http://arxiv.org/abs/2605.01244v1 (2026)
Summary: We present an atomistic quantum transport simulation framework based on the Non-Equilibrium Green's Function (NEGF) formalism to model impact ionization in semiconductor avalanche devices, with direct relevance to near-term quantum networking applications. Conventional descriptions of avalanche breakdown rely predominantly on semiclassical simulation methods, such as local ionization coefficients, semiclassical carrier trajectories, or Monte Carlo sampling, all of which implicitly assume weak co
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
17. On Quantum Indeterminacy
Source: http://arxiv.org/abs/2605.01103v1 (2026)
Summary: We introduce a geometric formulation of quantum indeterminacy from which the standard uncertainty inequalities emerge as necessary consequences. Our approach is based on convex geometry in phase space and on methods from symplectic topology, and does not rely on statistical descriptors such as variances or covariances. Instead, we associate to empirical position and momentum data with convex bodies whose mutual relations encode the fundamental constraints of quantum mechanics. The central tools
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
18. Sheaf-Theoretic Preparation Contextuality
Source: http://arxiv.org/abs/2605.00975v1 (2026)
Summary: We introduce a preparation-dual notion of contextuality, formulated as an obstruction to stochastic extension. In parallel with the sheaf-theoretic formulation of measurement contextuality, preparation contextuality arises when locally specified preparation statistics cannot be extended to a single global response matrix compatible with all source contexts. Whereas measurement contextuality concerns the incompatibility of restriction maps (marginalisation), the preparation setting requires stoch
| Symbol | Mapping |
|---|---|
| Ω | observed phenomenon / measured quantity |
| Ψ | theoretical mechanism / operator |
| B | conserved basis / fundamental component |
| C | dynamic context / variable parameter |
| Δ | residual error / noise / uncertainty |
19. Universality of Quantum Gates in Particle and Symmetry Constrained Subspaces
Source: http://arxiv.org/abs/2605.00979v1 (2026)
Summary: Simulating physical systems on near-term quantum computers often requires preparing states within constrained subspaces, like those with fixed particle number or spin. We use Lie algebraic techniques to prove that hardware-efficient gates are universal for state preparation in these subspaces. The key mechanism is Pauli Z dressing: commutators of overlapping gates produce Pauli Z operators on shared qubits, acting as spectator projectors that decompose multi-plane rotations into single-plane
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
20. Topological protection of local quantum Fisher information
Source: http://arxiv.org/abs/2605.00770v1 (2026)
Summary: In many-body quantum systems, unitary dynamics generically delocalize locally encoded information, causing single-site metrological sensitivity to vanish. We analytically demonstrate that a topological phase can prevent this dispersal. In the open Kitaev chain, a Majorana zero mode fixes the boundary quantum Fisher information (QFI) at a nonzero plateau that persists for times exponentially long in system size. We derive exact analytical expressions for the local QFI and identify the mechanism a
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
21. Gravity-induced Entanglement under Constrained Dynamics
Source: http://arxiv.org/abs/2605.00967v1 (2026)
Summary: Tests of gravity-induced entanglement have been proposed as a route to probing the quantum nature of gravity, but existing schemes rely on free-fall interferometry of massive spatial superpositions, imposing severe experimental constraints. We show that systems exhibiting effectively inertial dynamics in the short-time regime reproduce the same gravitational phase accumulation responsible for entanglement generation. Deviations from the free-fall phase enter at order (t/T)^2, where t is the
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
22. Learning Lindblad Dynamics of a Superconducting Quantum Processor
Source: http://arxiv.org/abs/2605.00626v1 (2026)
Summary: Accurate models of quantum processors are essential for understanding, calibrating, and improving their performance. In practice, model construction must balance physical detail against the experimental and computational effort required to reliably learn parameters. Compact descriptions therefore often rely on assumptions about which interactions, noise processes, or hidden degrees of freedom are relevant. Here we introduce LIMINAL, a data-driven framework for testing such assumptions and select
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
23. Separation of even-even from even-odd isotopes using ultrafast lasers
Source: http://arxiv.org/abs/2605.00959v1 (2026)
Summary: We propose a laser isotope separation mechanism in which selectivity arises from nuclear spin rather than isotope shifts, enabling the use of broadband ultrafast lasers. A Ramsey pulse sequence is applied to paramagnetic molecular isotopologues possessing two electronic states coupled by a dipole transition. For even-even isotopologues (nuclear spin I = 0), each electronic state is a single level and the time-reversed sequence returns all population to the ground state exactly. For even-odd is
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
24. Superconducting diode effect in correlated electron systems by nonreciprocal magnetism
Source: http://arxiv.org/abs/2605.00601v1 (2026)
Summary: The superconducting diode effect (SDE), characterized by a nonreciprocal critical current in superconductors, has recently been observed in strongly correlated electron systems and near quantum criticality, pointing to unconventional mechanisms beyond weak-coupling theories. Here we investigate the SDE in the Rashba-Zeeman-Hubbard model, which captures $d$-wave superconductivity in an antiferromagnetic quantum critical regime, using the Dyson-Gor'kov equation with the fluctuation exchange approx
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
25. Generalized First Law and Smarr Formula: Beyond Additivity and Extensivity
Source: http://arxiv.org/abs/2605.00381v1 (2026)
Summary: The study of black hole thermodynamics becomes a central topic in gravitational physics, where the first law and the Smarr relation establish a deep connection between spacetime geometry and thermodynamic laws. As we know, these relations depend on the entropy; any modification to the entropy arising from quantum gravity or generalized statistical mechanics may impact the basic thermodynamic framework of black holes. In this work, we develop a general framework for deriving the first law of blac
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
26. Tracing Primordial Gravitational Waves via non-Gaussian Signatures of Halo Bias
Source: http://arxiv.org/abs/2605.02882v1 (2026)
Summary: Primordial gravitational waves (PGWs) generate scalar density perturbations at second order. Since the induced density contrast is quadratic in the tensor field, it is intrinsically non-Gaussian. We study the imprint of this tensor-induced non-Gaussianity (NG) on the large-scale clustering of dark matter halos through its correction to halo bias. Focusing on inflationary scenarios with a peaked primordial tensor spectrum, we derive the leading scale-dependent contribution sourced by the bispectr
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
27. Enhancing RL Generalizability in Robotics through SHAP Analysis of Algorithms and Hyperparameters
Source: http://arxiv.org/abs/2605.02867v1 (2026)
Summary: Despite significant advances in Reinforcement Learning (RL), model performance remains highly sensitive to algorithm and hyperparameter configurations, while generalization gaps across environments complicate real-world deployment. Although prior work has studied RL generalization, the relative contribution of specific configurations to the generalization gap has not been quantitatively decomposed and systematically leveraged for configuration selection. To address this limitation, we propose an
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
28. Pixel Perfect: Relational Image Quality Assessment with Spatially-Aware Distortions
Source: http://arxiv.org/abs/2605.02863v1 (2026)
Summary: Traditional image quality assessment (IQA) methods rely on mean opinion scores (MOS), which are resource-intensive to collect and fail to provide interpretable, localized feedback on specific image distortions. We overcome these limitations by shifting from absolute quality prediction to a relational and directional assessment. Our approach utilizes a self-supervised synthetic distortion engine to generate training data, eliminating the need for manual annotation. A distortion prediction network
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
29. Opportunities and challenges in scaling quantum error detection on hardware
Source: http://arxiv.org/abs/2605.02861v1 (2026)
Summary: Quantum error detection can produce unbiased expectation values that exponentially converge to noiseless results as the code distance is increased. Despite this, its performance as an error mitigation technique is relatively understudied on quantum hardware because of its two main drawbacks: (i) the number of samples increases exponentially in the circuit depth/noise level, and (ii) the classical processing generally grows exponentially in the code distance, though exceptions exist. Additionally
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
30. Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion
Source: http://arxiv.org/abs/2605.02849v1 (2026)
Summary: Diffusion models provide a powerful generative prior for perceptual reconstruction at ultra-low bitrates, but effective video compression requires controlling the generative process using highly compact conditioning signals. In this work, we present ActDiff-VC, a diffusion-based video compression framework for the ultra-low-bitrate regime. Our method partitions videos into variable-length segments, transmits keyframes only when needed, and summarizes temporal dynamics using a compact set of trac
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
31. A Statistical Survey of Faint Solar X-ray Transients Observed by NuSTAR
Source: http://arxiv.org/abs/2605.02837v1 (2026)
Summary: In this paper, we use a highly sensitive telescope to characterize solar X-ray transients ranging from microflares in active regions down to weakly energetic brightenings in the quiet Sun. X-rays are closely linked to the initial energy release and immediate heating of solar flares, making them invaluable in understanding their driving processes. NuSTAR is the first long-term, direct focusing hard X-ray observatory to have observed the Sun, offering a unique opportunity to search for and charact
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
32. Gravitational-Bumblebee perturbations: Exact decoupling and isospectrality
Source: http://arxiv.org/abs/2605.02820v1 (2026)
Summary: In this paper, we present the exact decoupling of the full metric and bumblebee field perturbations in a Schwarzschild-like background. The coupled system reduces to four decoupled master equations, revealing in each parity sector a Schwarzschild-like gravitational sector and a Lorentz-violating Maxwell-like vector sector. While Lorentz violation modifies the propagation speed of the emergent vector modes, we demonstrate that the gravitational master modes exhibit a ``dynamical immunity'' to the
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
33. FlexSQL: Flexible Exploration and Execution Make Better Text-to-SQL Agents
Source: http://arxiv.org/abs/2605.02815v1 (2026)
Summary: Text-to-SQL over large analytical databases requires navigating complex schemas, resolving ambiguous queries, and grounding decisions in actual data. Most current systems follow a fixed pipeline where schema elements are retrieved once upfront and the database is only revisited for post-hoc repair, limiting recovery from early mistakes. We present FlexSQL, a text-to-SQL agent whose core design principle is flexible database interaction: the agent can explore schema structure, inspect data values
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
34. Derivation of the Smarr formula from the Komar charge in Einstein-nonlinear electrodynamics theories and applications to regular black holes
Source: http://arxiv.org/abs/2605.02813v1 (2026)
Summary: We construct the generalized Komar charge of generic, non-linear theories of electrodynamics (NLED) in 4 dimensions coupled to Einstein gravity. The contribution of the dimensionful coupling constant present in all these theories is obtained by promoting it to a dynamical field which is forced to be constant on-shell by a Lagrange multiplier. We use this charge to derive a Smarr formula for asymptotically-flat black-hole and soliton solutions of these theories that includes the contribution of t
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
35. Hadronic lensing
Source: http://arxiv.org/abs/2605.02807v1 (2026)
Summary: We introduce an analytic approach to study gravitational lensing in the presence of a distribution of hadrons. The situation is analogous to the propagation of photons in a medium with a nontrivial Cooper-pair condensate, where the photon acquires an effective mass term that may depend on the coordinates if the condensate is not homogeneous. As a result, photons generally do not follow null geodesics in the hadronic medium. In this setup, hadrons are described by the nonlinear sigma model minima
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
36. A delay-programmable two-color femtosecond source for multiphoton ionization studies based on chirped-seed NOPA
Source: http://arxiv.org/abs/2605.02749v1 (2026)
Summary: We demonstrate a delay-programmable two-color femtosecond source based on a chirped-seed noncollinear optical parametric amplifier. Introducing controlled dispersion into the seed enables spectral selection through pump-seed delay, allowing flexible generation of two independently tunable pulse components with adjustable relative timing at high repetition rate. The temporal and spectral properties are characterized using nonlinear optical cross-correlation and dispersion-scan measurements. As a
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
37. Foundation Models to Unlock Real-World Evidence from Nationwide Medical Claims
Source: http://arxiv.org/abs/2605.02740v1 (2026)
Summary: Evidence derived from large-scale real-world data (RWD) is increasingly informing regulatory evaluation and healthcare decision-making. Administrative claims provide population-scale, longitudinal records of healthcare utilization, expenditure, and detailed coding of diagnoses, procedures, and medications, yet their potential as a substrate for healthcare foundation models remains largely unexplored. Here we present ReClaim, a generative transformer trained from scratch on 43.8 billion medical e
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
38. Accessibility and Gorenstein injective envelopes
Source: http://arxiv.org/abs/2605.02634v1 (2026)
Summary: Let \mathcal{G} be a Grothendieck category. We prove completeness of the Gorenstein injective cotorsion pair whenever \mathcal{G} admits a set of Tate trivial generators, and show that having such generators is necessary for completeness. In this case it must be a perfect cotorsion pair, cogenerated by a set, and equivalent to an injective abelian model structure on \mathcal{G}. Examples include Grothendieck categories (possibly without enough projectives) that admit a generating set consi
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
39. Axial tidal Love numbers of black holes in matter environments
Source: http://arxiv.org/abs/2605.02633v1 (2026)
Summary: We study the axial (magnetic) tidal Love numbers of a Schwarzschild black hole surrounded by a spherically symmetric matter distribution. While the formalism developed here is general, we specialize to the case of anisotropic fluids as a proxy for dark matter distributions, computing the Love numbers for different density profiles of astrophysical interest. We employ two complementary methods: a small-compactness expansion, yielding closed-form analytic expressions, and direct numerical integrat
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
40. Mitigation of Boundary Sampling Artifacts in Phase Space Generation for Electron FLASH Radiotherapy
Source: http://arxiv.org/abs/2605.02605v1 (2026)
Summary: Applicator-specific phase space (PHSP) files recorded at the aperture exit reduce Monte Carlo dose calculation time by 30-50% for electron FLASH radiotherapy. However, positioning PHSP scoring planes coincident with the applicator-air interface introduces boundary sampling artifacts. This study characterizes these artifacts in Geant4-based simulations and demonstrates their mitigation. PHSP files were generated using GAMOS 6.2.0 for a 9 MeV Mobetron UHDR model across twelve clinical aperture con
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
41. Exact solutions for slowly rotating wormholes in the presence of an anisotropic fluid
Source: http://arxiv.org/abs/2605.02555v1 (2026)
Summary: We construct slowly rotating traversable wormholes in the presence of an anisotropic fluid. Starting from a Teo-type stationary, axisymmetric extension of the Morris-Thorne metric, we perform a slow-rotation expansion, fix a gauge that preserves the geometric meaning of the radial coordinate, and introduce two complementary prescriptions for treating the throat (fixed and free). Within this framework, the Einstein equations and conservation laws form a closed system, from which we obtain analyti
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
42. IteRate: Autonomous AI Synthesis of In-Kernel eBPF Wi-Fi Rate Control Algorithms
Source: http://arxiv.org/abs/2605.02542v1 (2026)
Summary: Wi-Fi rate adaptation remains a persistent challenge in wireless networking. Deployed algorithms like Minstrel-HT have remained largely stagnant for over a decade, relying on hand-tuned heuristics that fail to generalize to the complexity of modern wireless environments. We present \name, an autonomous research system that closes the loop on rate control development. IteRate uses a multi-agent AI architecture to conduct the full scientific cycle: formulating hypotheses, writing eBPF programs tha
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
43. Orchestrating Spatial Semantics via a Zone-Graph Paradigm for Intricate Indoor Scene Generation
Source: http://arxiv.org/abs/2605.02537v1 (2026)
Summary: Autonomous 3D indoor scene synthesis breaks down in non-convex rooms with tightly coupled spatial constraints. Data-driven generators lack topological priors for long-horizon planning, while iterative agents fragment semantics and become geometrically brittle. We present ZoneMaestro, a unified framework that shifts the paradigm from object-centric synthesis to Zone-Graph Orchestration. By internalizing a novel zone-based logic, ZoneMaestro translates high-level semantic intent into functional zo
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
44. Cascade Pipeline for Leading-Order Matrix Element Evaluation on AMD Versal AI Engine Arrays
Source: http://arxiv.org/abs/2605.02481v1 (2026)
Summary: A major computational bottleneck in modern High Energy Physics event generators arises from the integration of the matrix element, which requires repeated evaluations at different phase-space points to cover all possible initial- and final-state configurations. As the Large Hadron Collider enters its High-Luminosity phase, the demand for energy-efficient acceleration is expected to exceed the limits of conventional CPU scaling, motivating the use of highly parallel computing platforms such as gr
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
45. Singularity softening and avoidance by the action of thermal radiation in a generalized entropic cosmology
Source: http://arxiv.org/abs/2605.02477v1 (2026)
Summary: Some relevant aspects of a new form of generalized entropic cosmology, recently introduced by Nojiri, Odintsov and Faraoni, are considered. The setup is a logarithmic equation of state for a viscous dark fluid coupled with dark matter, in the ordinary Friedmann-Lemaître-Robertson-Walker flat universe. The influence of thermal effects, caused by Hawking radiation, near the singularity, are carefully investigated. In particular, their role on the formation and specific type of the Big Rip expected
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
46. Testing General Relativity Through Gravitational Wave Classification: A Convolutional Neural Network Framework
Source: http://arxiv.org/abs/2605.02453v1 (2026)
Summary: We present a machine learning framework for testing general relativity (GR) with gravitational wave signals from binary black hole mergers. Using the source parameters of 173 BBH events from the GWTC catalog as a realistic astrophysical population, we generate simulated GR waveforms and construct beyond GR (BGR) waveforms by applying controlled phase deformations. We introduce a response function formalism that provides a systematic framework for quantifying how any observable responds to modifi
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
47. Quantum scars from holographic boson stars
Source: http://arxiv.org/abs/2605.02446v1 (2026)
Summary: Quantum many-body scars are atypical nonthermal states embedded in the chaotic spectrum that evade conventional ergodicity. We show that asymptotically AdS mini-boson stars provide a holographic realization of scar-like states. Their spectrum exhibits random-matrix signatures of chaos while supporting embedded integrable spectral branches. The full holographic system, including black holes, is generically chaotic with most eigenstates satisfying the eigenstate thermalization hypothesis; in contr
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
48. Power set operads
Source: http://arxiv.org/abs/2605.02440v1 (2026)
Summary: We introduce a systematic method for constructing set-theoretic operads via iterated application of the power set functor, and use it to uncover a hierarchy connecting several classical operads. Starting from the permutative operad, the first iteration recovers the commutative triassociative operad. The second iteration produces the substitution operad and the composition operad on simplicial complexes, two structures introduced by Ayzenberg and Abramyan--Panov in the theory of polyhedral prod
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
49. Euclid preparation. CosmoPostProcess: A simulation calibrated framework for weak lensing selection bias in richness-selected galaxy clusters
Source: http://arxiv.org/abs/2605.02723v1 (2026)
Summary: We present \texttt{CosmoPostProcess}, a simulation-based forward-modelling algorithm calibrated to reproduce Euclid optical cluster observables. Its main deliverable is a correction for stacked surface-density profiles, binned in richness and redshift, accounting for selection systematics in richness-selected samples relative to unbiased references. We focus on the Euclid richness definition foreseen for cosmological analyses, which does not apply a colour selection; red-sequence richness is not
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
50. How neutrinos could help solving cosmological anomalies and tensions
Source: http://arxiv.org/abs/2605.02547v1 (2026)
Summary: In this talk I discuss how neutrinos might help solving or alleviating different anomalies and tensions in cosmology. Invisible decays of the heaviest relic neutrinos might provide a way to solve the neutrino mass tension between cosmological observations and neutrino oscillation experiments. The excess radio background mystery could be explained by radiative decays of relic neutrinos. However, the upper bound on the neutrino effective magnetic moment requires some trick to be circumvented. To t
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
51. Black Hole Thermodynamics via Tsallis Statistical Mechanics and Phase Transitions Probed by Optical Characteristics
Source: http://arxiv.org/abs/2605.02429v1 (2026)
Summary: We investigate black hole thermodynamics within Tsallis non-extensive statistical mechanics using a near-horizon photon-gas model. We derive a $q$-generalized entropy for Reissner--Nordström black holes that is consistent with the area law while incorporating long-range gravitational correlations via the non-extensivity parameter q. The resulting thermodynamics exhibits three branches (small, intermediate, and large black holes) with Van der Waals-like phase transitions characterized by mean-f
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
52. Investigating cosmic distance duality and dark energy evolution through intermediate and high-z probes
Source: http://arxiv.org/abs/2605.02428v1 (2026)
Summary: We investigate deviations from the cosmic distance duality relation adopting model-dependent and -independent approaches using i) a Taylor expansion, ii) a power-law parameterization, iii) a logarithmic correction, iv) a (2;1) Padé polynomial and v) a second order Chebyshev parameterization. We derive constraints on all parameters using observational Hubble data, galaxy clusters, type Ia supernovae, DESI data and gamma-ray bursts. Through Monte-Carlo Markov chain analyses adopting the Metropolis
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
53. Bondi and Novikov-Thorne accretion in regular black holes and Simpson-Visser spacetimes
Source: http://arxiv.org/abs/2605.02425v1 (2026)
Summary: We compare the Bondi spherical accretion model and the Novikov-Thorne thin disc formalism around regular black holes and Simpson-Visser spacetimes, using several equations of state for the accreting fluids. The Bondi model is significantly more sensitive to spacetime geometry and the equation of state, making it more effective at distinguishing between regular and classical solutions. For the Simpson-Visser solutions, however, increasing the regularisation parameter, \ell, shifts critical poin
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
54. The Impact of the Magnetised Cosmic Web on Ultra High Energy Cosmic Ray Propagation
Source: http://arxiv.org/abs/2605.02324v1 (2026)
Summary: The origin of ultra-high-energy cosmic rays (UHECRs) remains an open question. Extragalactic magnetic fields can modify their propagation and, at sufficiently low energies, suppress the observed flux through the magnetic horizon (MH) effect.} {We quantify the impact of the MH on the propagation of UHECR protons using cosmological simulations and a dedicated numerical framework that follows cosmic rays in a time-evolving background.} {We use \texttt{UMAREL}, a parallel code developed for this stu
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
55. Beyond collective fluctuations: probing micro-image swarms in lensed quasars with intensity interferometry
Source: http://arxiv.org/abs/2605.02181v1 (2026)
Summary: Each strongly lensed image of a quasar behind a lensing galaxy (or galaxy cluster) is composed of a swarm of micro-images. This is a result of microlensing due to stellar-scale substructure in the lens. The presence of microlenses forms a network of micro-caustics, and a source transiting these micro-caustics gives rise to variation in observed strongly lensed images. These micro-image swarms are currently observable only through collective intensity fluctuations, which hide the underlying infor
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
56. Constraints on Ultralight Scalar and Dark Photon Dark Matter from PPTA-DR3 and EPTA-DR2
Source: http://arxiv.org/abs/2605.02172v1 (2026)
Summary: The cold dark matter model successfully describes the Universe on large scales, yet faces challenges at sub-galactic scales. Ultralight dark matter (ULDM), with particle masses around 10^{-22} \mathrm{eV}, offers a promising solution to these small-scale issues. Pulsar Timing Arrays (PTAs), designed to detect nanohertz gravitational waves, can also provide a sensitive probe for ULDM signals. In this work, we perform a Bayesian search for ULDM using PTA data sets, focusing on two types of signa
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
57. Helicity-dependent corrections to black-hole shadows from the gravitational spin Hall effect
Source: http://arxiv.org/abs/2605.02136v1 (2026)
Summary: Black-hole shadows are purely geometric in the leading-order geometric-optics approximation: their boundary is set by null geodesics and carries no information about the polarization of the probing radiation. This changes at subleading order. We show that the gravitational spin Hall effect of light shifts the critical impact parameter governing photon capture by a helicity-dependent amount, causing polarized radiation with opposite helicities to trace slightly different shadow boundaries -- even
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
58. Spinning charged test particle dynamics around a Schwarzschild black hole embedded in a homogeneous magnetic field
Source: http://arxiv.org/abs/2605.02084v1 (2026)
Summary: We study the dynamics of spinning charged test particles orbiting a Schwarzschild black hole immersed in a test uniform magnetic field. This setup provides a simple but physically relevant framework for modeling particle motion in magnetized astrophysical environments near compact objects, where both spin-curvature coupling and electromagnetic interactions can play a significant role. The particle trajectories are obtained numerically in both equatorial and off-equatorial configurations, allowin
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
59. Non-variational scalar field cosmology: Exact Bianchi I solutions for near-minimal scalar fields
Source: http://arxiv.org/abs/2605.02078v1 (2026)
Summary: The purpose of this work is to investigate spatially homogeneous and flat cosmological solutions of the Einstein equations coupled to a non-variational ``near-minimal'' scalar field. This coupling model represents a minimal departure from standard theory by decoupling the scalar field's self-interaction term from the derivative of its potential. By assuming a quadratic potential and a self-interaction term that is proportional to the potential, we derive four new exact Bianchi I solutions. We de
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
60. Galaxy luminosity functions from far-UV to submillimetre at z=0 in the COLIBRE simulations
Source: http://arxiv.org/abs/2605.02022v1 (2026)
Summary: We present predictions from the recent COLIBRE cosmological hydrodynamical simulations of galaxy formation for the present-day galaxy luminosity functions (LFs) at wavelengths ranging from the far-ultraviolet (FUV) to the submillimetre. The simulations are post-processed with the radiative transfer code SKIRT, accounting for dust attenuation and emission using the distribution and properties of dust grains predicted directly by COLIBRE. Results from simulations varying in mass resolution by a fa
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
61. Gravitational baryogenesis in scalar-nonmetricity f(Q,φ) gravity
Source: http://arxiv.org/abs/2605.02008v1 (2026)
Summary: In this work, we investigate gravitational baryogenesis in the framework of scalar-nonmetricity theories by considering two classes of modified gravity models, namely f(Q,φ)=Q+ξQ φ^2 and f(Q,φ)=αQ^n + βφQ. These models extend standard f(Q) gravity through the inclusion of nonminimal couplings between the scalar field and the nonmetricity scalar, leading to nontrivial modifications of the cosmological dynamics. We analyze the evolution of the baryon-to-entropy ratio in terms of the cosmic e
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
62. Ergosphere Geometry and Thermodynamic Properties of Boosted Kerr-Taub-NUT Solutions in Kaluza-Klein Theory
Source: http://arxiv.org/abs/2605.02000v1 (2026)
Summary: We investigate rotating black holes obtained by applying a Kaluza-Klein boost to the Kerr-Taub-NUT spacetime and study the resulting four-dimensional geometry and thermodynamics after dimensional reduction. The boost along the compact direction generates an Einstein-Maxwell-Dilaton black hole in which the electric charge originates purely from higher-dimensional momentum rather than from an independent matter source. We demonstrate that the coordinate location of the stationary limit surface,
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
63. Axion electron-electron interaction in the RaOH molecule to search for Dark matter
Source: http://arxiv.org/abs/2605.02775v1 (2026)
Summary: Axions are promising candidates for the role of Dark matter particles. In this paper, the question of the suitability of the RaOH molecule for the experimental detection of electron-electron interactions through the exchange of axions is studied. To take into account an impact of the rotations and vibrations a computation must be performed for a large number of molecular configurations. In this work we study this problem using a combination of the Generalized relativistic effective core potentia
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
64. Surface background of the BULLKID detector array operated with moderate shielding
Source: http://arxiv.org/abs/2605.02468v1 (2026)
Summary: We present the operation with moderate radiation shield in a surface laboratory of BULLKID (BULky and Low-threshold Kinetic Inductance Detector), a cryogenic detector for searches of light Dark Matter or Coherent Elastic Neutrino-Nucleus Scattering. The detector consists of an array of 60 cubic silicon particle absorbers of 0.34 g each, sensed by cryogenic kinetic inductance detectors. The analysis presented focuses on data from 15 elements of the array, with two central units used to evaluate t
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
65. Cosmology since the first Astro/Cosmo Moriond meeting// The emergence of the Big Bang 2.0
Source: http://arxiv.org/abs/2605.01977v1 (2026)
Summary: This paper presents a necessarily incomplete review of the evolution of cosmology since the first Astro/Cosmo Moriond meeting in 1981. I trace the journey from the classical Big Bang model based on three pillars -- universe expansion, primordial nucleosynthesis, and the cosmic microwave background -- to the modern $Λ$CDM paradigm and the discovery of cosmic acceleration. I discuss major observational milestones: the COBE discovery of CMB fluctuations, the CMB measurements of the flat universe, t
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
66. Alleviating the Hubble Tension Using $Λ$sCDM Model: A Coupled Dark Energy - Dark Matter Interaction
Source: http://arxiv.org/abs/2605.01904v1 (2026)
Summary: The considerable difference between early and late universe measurements of the Hubble constant, called the Hubble tension, poses a potential challenge to the standard $Λ$CDM cosmological model. We examine an interacting dark matter-dark energy model, $Λ_s$CDM, characterized by a gauge-invariant coupling Q = ξHρ_{\mathrm{de}} and an effective pressure dynamically induced within the dark matter fluid. Using the CLASS Boltzmann code modified in this work, we analyze both the background and pertu
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
67. Strong light-matter interactions in hybrid polaritonic systems
Source: http://arxiv.org/abs/2605.01583v1 (2026)
Summary: Strong light-matter coupling gives rise to polaritons - hybrid excitations whose mixed photonic and matter character enables control over optical, electronic and chemical properties. This Feature Article surveys the main architectures supporting polariton formation, including photonic microcavities, plasmonic nanostructures, open cavities and metasurfaces, and outlines how inorganic semiconductors, organic aggregates and hybrid systems access strong and ultrastrong coupling. Key phenomena such a
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
68. Non-Equilibrium Ionisation in Photoionised Haloes: Implications for Shock Stability and Absorption-Line Signatures
Source: http://arxiv.org/abs/2605.01505v1 (2026)
Summary: We investigate the impact of nonequilibrium ionisation (NEI) and the metagalactic radiation-field on the thermal evolution, virial shock stability, and absorption signatures of gas surrounding galaxies. Using 1D, spherically symmetric hydrodynamical simulations with an extended version of the hydra code, we follow dark-matter growth, gas dynamics, time-dependent ionisation and cooling in the presence of the UV background. We explicitly track all ions of H, He, C, N, O, Ne, Mg, Si, S, and Fe in h
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
69. A structural degeneracy explains reionization tensions and limits dark matter constraints
Source: http://arxiv.org/abs/2605.01380v1 (2026)
Summary: Over the past decade, reionization studies have yielded persistent factor-of-two-to-five disagreements in the inferred ionizing escape fraction f_{\mathrm{esc}} and peak star formation efficiency f_{*,0}, compounded by JWST's discovery of unexpectedly bright z>10 galaxies. We show that this discrepancy arises from an algebraically exact structural degeneracy: the ionizing photon rate \dot{n}_{\mathrm{ion}} \propto f_{\mathrm{esc}} \times f_{*,0} renders all reionization-history probes, i
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
70. Formation and Redshift Evolution of Dark Matter Spikes
Source: http://arxiv.org/abs/2605.01023v1 (2026)
Summary: Dark matter density spikes forming around adiabatically growing black holes can dramatically enhance indirect and direct detection signals. Canonical predictions, however, assume a zero-mass seed in a purely dark matter environment and do not track the long-term dynamical impact of surrounding stars. We present a semi-analytic framework that first generalizes adiabatic spike formation to include finite seed masses, stellar cusps, and non-circular orbits, and then studies the subsequent cosmic ev
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
71. Implications of \textit{SARAS3} data for Coulomb-like interacting dark matter
Source: http://arxiv.org/abs/2605.00991v1 (2026)
Summary: The 21-cm signal from cosmic dawn is a potentially sensitive probe of interactions between dark matter (DM) and baryons. We investigate the implications of the SARAS3 non-detection in the 55.5-84.4 MHz band for Coulomb-like interacting DM (IDM). In contrast to earlier constraint analyses that focused primarily on baryon cooling, we model the interaction self-consistently by including both excess cooling of the gas and the suppression of structure formation, which delays the onset of star formati
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
72. NEFERTITI: Linking early galaxy formation to the assembly of the Milky Way
Source: http://arxiv.org/abs/2605.00990v1 (2026)
Summary: We use a new implementation of the NEFERTITI galaxy formation model, coupled to \sim 30 high-resolution Caterpillar dark-matter simulations of Milky Way (MW) analogues, to connect early galaxy formation with the MW's assembly down to z=0. Our locally-constrained model resolves minihaloes hosting the first PopIII stars and self-consistently tracks inhomogeneous ionization and chemical enrichment. PopIII star formation begins at z\simeq27, peaks at z\simeq10-15, and persists down to $z\les
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
73. Merge and Strip II: Imprint of galaxy formation physics and viscosity on baryon-dominated dwarf galaxies
Source: http://arxiv.org/abs/2605.00984v1 (2026)
Summary: Motivated by the discovery of peculiar dwarf galaxies inside galaxy clusters such as blue candidates (BCs), dark galaxies and ultra-diffuse galaxies (UDGs), we present hydrodynamic simulations of galaxy mergers in cluster environments. We vary the viscosity and stellar feedback prescriptions, realistically modelling possible conditions for hydrodynamic drag and fluid instabilities, as well as internal destabilization through stellar feedback-driven heating and gas loss. We find that long-lived t
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
74. Coverage is not enough: Frequentist tests of simulation-based inference for primordial non-Gaussianity
Source: http://arxiv.org/abs/2605.00980v1 (2026)
Summary: (Abridged) Simulation-based inference (SBI) has emerged as a powerful framework for extracting cosmological information from complex, non-linear data where analytical likelihoods are unavailable. Its reliability is commonly assessed using coverage-based diagnostics under the prior predictive distribution, which probe calibration only in an averaged sense and do not constrain posterior behavior at fixed parameter value, the regime relevant for practical inference. We investigate these limitations
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
75. Anisotropy of Cosmic Background Photons from Annihilating/Decaying Dark Matter
Source: http://arxiv.org/abs/2605.00648v1 (2026)
Summary: We provide a detailed formulation for calculating the angular power spectrum of the cosmic background photons arising from the dark matter decay or annihilation in a comprehensive manner. We pay particular attention to the case of dark matter decaying or annihilating into line photons. It is pointed out that taking account of the energy resolution of the detector is essential to correctly evaluate the angular power spectrum. We apply our formulation to the observational data from infrared, optic
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
76. Bounds on massive graviton-like particles from searches for axion-like particles coupling to photons
Source: http://arxiv.org/abs/2605.00549v1 (2026)
Summary: Limits on spin-0 axion-like-particles (ALPs) coupling to photons are reinterpreted as constraints on massive spin-2 graviton-like-particles (GLPs) with universal coupling α_\text{G}/M_\text{P} (where M_\text{P} is the reduced Planck mass) to the Standard Model fields. A minimally model-dependent recasting is performed, exploiting the formally analogous production and detection mechanisms for both particle types, based on the Primakoff and Gertsenshtein effects, i.e., photon-axion/graviton co
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
77. Micron-sized Extra Dimensions and Primordial Black Holes: Charges, Rotating, and Memory Burdened
Source: http://arxiv.org/abs/2605.00252v1 (2026)
Summary: We explore the possibility of explaining dark matter through six-dimensional (6D) primordial black holes (PBHs) in a theory with two extra dimensions. Interestingly, in this scenario the fundamental energy scale is of the order of \sim 10 TeV, accessible by future experiments. We analyse the viability of charged and rotating 6D black holes under standard Hawking evaporation as well as the memory burden scenario. In the case of pure Hawking evaporation, only PBHs with masses M > 10^8 g surviv
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
78. Correspondence between a decaying dark matter sector scenario and scalar field model
Source: http://arxiv.org/abs/2605.00208v1 (2026)
Summary: We explore the theoretical viability of modeling a decaying dark matter sector through a unified scalar field approach. Using exact analytical solutions of the Friedmann constraints, we map the fluid phenomenology onto a scalar field potential. Our analysis reveals that physical viability, specifically the existence of a well-defined potential minimum; inevitably forces the dark energy equation of state into the phantom domain. To resolve the kinetic pathologies at late times, we propose reinter
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
79. Pre-inflationary QCD axion stars after moduli domination
Source: http://arxiv.org/abs/2605.00103v1 (2026)
Summary: The growth of adiabatic density perturbations during an era of early matter domination induces \mathcal{O}(1) fluctuations in pre-inflationary QCD axion dark matter across a broad, string-theory-motivated parameter space. Remarkably, at $Λ$CDM matter-radiation equality the scale of these perturbations coincides with the quantum Jeans scale, so they collapse to solitonic ``axion stars''. These axion stars have densities up to 10^4\,\mathrm{eV}^4, and, including their surrounding halos, they c
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
80. A New Robust Constraint on the Self-interaction Cross-section of Dark Matter with Double Radio Relic Clusters
Source: http://arxiv.org/abs/2605.00093v1 (2026)
Summary: Merging galaxy clusters are a promising laboratory for measuring the self-interaction cross-section (SICS) of dark matter. However, previous studies have focused on galaxy-mass offsets, which numerical simulations have shown to be intrinsically small because galaxies remain tightly coupled to the dominant dark matter potential even with significant self-interaction. Their interpretation is further complicated by unknowns of the merger phase, geometry, and initial conditions. In this paper, we ov
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
81. Axion dark matter from extended misalignment with a constant-ω_φ pre-oscillatory phase and dark radiation
Source: http://arxiv.org/abs/2604.27954v1 (2026)
Summary: In this work, we extend the standard pre-inflationary misalignment mechanism for axion-like particles (ALPs) by introducing a pre-oscillatory phase with constant equation of state ω_φ\in[-1,1], generated by a tracking potential. During the radiation-dominated era, the potential undergoes a rapid transition to the conventional cosine potential. The resulting change in the potential energy across the transition can drive the ALP into a kinetic misalignment phase (ω_φ=1) prior to the onset of o
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
82. Dark photon search status in τ-c energy region
Source: http://arxiv.org/abs/2604.27703v1 (2026)
Summary: The dark photon plays an important role as a portal to dark matter and has been extensively studied on both experimental and theoretical frontiers. However, as no signals have been observed, the whereabouts of the dark photon remain a long-standing open question. With the proposal of a future τ-c facility, this proceeding reviews and summarizes the current experimental status of the dark photon in the τ-c energy region, which is expected to provide a reference for future searches. The experi
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
83. The free energy limit of the SYK model at high temperature
Source: http://arxiv.org/abs/2605.02768v1 (2026)
Summary: The Sachdev-Ye-Kitaev (SYK) model is a disordered quantum mean-field model studied in condensed matter physics and the holographic theory of black holes. Its structural properties can be derived heuristically using a combination of the replica method and path integration techniques. Analyzing it mathematically rigorously, however, turned out to be notoriously difficult, even for basic questions such as computing the annealed free energy. In this paper we rigorously compute the free energy limi
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
84. Kerr-de Sitter Black Holes: Quantum Aspects and Cosmic Censorship Conjecture
Source: http://arxiv.org/abs/2605.02523v1 (2026)
Summary: In this article, we test the validity of the weak cosmic censorship conjecture (wCCC) in the background of a quantum Kerr-de Sitter (qKdS) black hole, incorporating exact backreaction from quantum matter fields. Using a test particle approach, we analyze whether an extremal qKdS black hole can be over-extremized to expose a naked singularity. Our results indicate that the black hole remains stable against horizon-destroying processes induced by infalling matter. Quantum corrections enhance the h
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
85. The chemical fingerprint of the Gaia BH3 system. Evidence for early cluster enrichment from the analysis of 51 elements
Source: http://arxiv.org/abs/2605.02353v1 (2026)
Summary: The Gaia BH3 system hosts the most massive known stellar-origin black hole and a low-mass metal-poor companion whose chemical composition may constrain early explosive nucleosynthesis processes. We investigate the chemical abundances of the companion in order to constrain the formation of this remarkable system. We perform a detailed analysis of high-resolution ESO-UVES spectra of the companion. 51 elements from lithium to uranium were investigated through spectral synthesis, including 15 treate
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
86. Pole Structure of Kerr Green's Function
Source: http://arxiv.org/abs/2605.01964v1 (2026)
Summary: We investigate the pole structure of Kerr black-hole perturbations in the frequency domain, focusing on the building blocks of the Green's function for the radial Teukolsky equation: the homogeneous radial solutions, the connection coefficients, and the Green's function itself. We show that the homogeneous solutions and the local connection coefficients develop simple poles at the Matsubara frequencies, thereby establishing the Matsubara pole structure explicitly within the Teukolsky formalism f
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
87. Scalar-Electromagnetic Couplings as Source of Deformed Black Hole: From Shadows to Thermodynamic Topology
Source: http://arxiv.org/abs/2605.01934v1 (2026)
Summary: We reconstruct a static and spherically symmetric black hole geometry originally proposed as an effective metric by identifying a consistent matter source derived from a fundamental action. The space-time is supported by a magnetically charged nonlinear electrodynamics (NED) field non-minimally coupled to a scalar field. Dimensional consistency reduces the parameter space to a single magnetic charge, and the inverse construction formalism yields a one-parameter family of electromagnetic Lagrangi
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
88. Bertotti-Robinson and Bonnor-Melvin universes in nonlinear electrodynamics
Source: http://arxiv.org/abs/2605.01811v1 (2026)
Summary: We review the status of Birkhoff's theorem in the presence of nonlinear electrodynamics (NLE) - extending the analysis to the case without asymptotic flatness. This leads to the Bertotti-Robinson-type (direct product) geometry with generally unequal radii for its AdS_{2} and S_{2} factors, determined by a given NLE model. As can be expected, such a geometry can also be recovered from a near-horizon limit of the corresponding extremal NLE charged black hole (if it exists). These extremal blac
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
89. On gravitational collapse and integrable singularities
Source: http://arxiv.org/abs/2605.01808v1 (2026)
Summary: Schwarzschild black holes are expected to emerge as the end states of the classical gravitational collapse from non-singular configurations. After integrable curvature singularities appear, the interior geometry can be modelled to exhibit a transition, called ``Minkowski breaking'', when the inner horizon disappears, before all matter collapses into the central singularity. This picture implies a quantum framework to describe the final stages of the gravitational collapse, and here we will provi
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
90. Relational quantum dynamics of the black hole interior: singularity resolution and quantum bounce
Source: http://arxiv.org/abs/2605.01576v1 (2026)
Summary: We study the interior of the Schwarzschild black hole which is isometric to the Kantowski-Sachs cosmological model, using a fully relational and gauge-invariant quantization framework. The physical Hilbert space is constructed via refined algebraic quantization, and quantum dynamics is recovered through the Page-Wootters formalism with a covariant POVM clock built from one of the two configuration variables, whose Hamiltonian is proportional to the momentum of the said variable. Gauge-invariant
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
91. The atomic nucleus as a bound system of 3A quarks
Source: http://arxiv.org/abs/2605.01573v1 (2026)
Summary: The atomic nucleus, viewed as a system of bound quarks, should, in principle, be described within an effective theory of low-energy quantum chromodynamics. This paper provides an overview of recently developed models that embody essential features of the desired effective theory. The Fermi gas model helps explain why the number of d quarks is approximately equal to that of u quarks in stable light nuclei up to {\rm {}^{40}_{20}Ca}. A modified bag model accounts for the deviation from this
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
92. A note on methods for computing the critical curve of Kerr-like black holes
Source: http://arxiv.org/abs/2605.01426v1 (2026)
Summary: This study systematically compares Bardeen's, de Vries's, and Grenzebach et al.'s celestial coordinate definitions of the critical curve ("shadow") of Kerr-like black holes. We find that all three definitions agree for black holes in vacuum or surrounded by inhomogeneous plasma observed from large distances. However, they diverge for observers located at a finite distance: Bardeen's definition yields the smallest critical curve, while de Vries's yields the largest. When homogeneous plasma is con
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
93. Black Hole Supernovae Outcomes Across a Wide Progenitor Range
Source: http://arxiv.org/abs/2605.01405v1 (2026)
Summary: Black hole supernovae (BHSNe), the term we use for core-collapse events in which black hole (BH) formation occurs after shock revival but before the explosion is complete, have emerged as a natural outcome of multidimensional simulations as these calculations have been extended to seconds after bounce. Yet they remain one of the least studied outcomes of core collapse. Here, we assess whether they are confined to the most compact and massive progenitors, whose birth rates are low, or whether the
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
94. Exact WKB and Quantum Periods for Extremal Black Hole Quasinormal Modes
Source: http://arxiv.org/abs/2605.01321v1 (2026)
Summary: We apply exact WKB analysis to the spectral problem arising in black hole perturbation theory. The boundary conditions for quasinormal modes lead to exact quantization conditions for the complex frequencies. To solve these conditions, one needs to evaluate the so-called quantum periods, or Voros symbols. For scalar perturbations of extremal Reissner--Nordström and Kerr black holes, we compute these quantities up to very high orders in the WKB expansion and perform Borel--Padé resummation. The re
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
95. Photon Spheres and shadow of modified black-hole entropies
Source: http://arxiv.org/abs/2605.01303v1 (2026)
Summary: Starting from the first law of black hole thermodynamics, we establish an explicit correspondence between the corrected entropy and the metric function under the condition of fixed black hole energy and horizon position. Using the corrected metric, we further compute the photon sphere radius and shadow size, demonstrating that different entropy corrections lead to characteristic optical shifts. By comparing with the Event Horizon Telescope observations of Sgr A*, we constrain the parameter range
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
96. Learning Equivariant Neural-Augmented Object Dynamics From Few Interactions
Source: http://arxiv.org/abs/2605.02699v1 (2026)
Summary: Learning data-efficient object dynamics models for robotic manipulation remains challenging, especially for deformable objects. A popular approach is to model objects as sets of 3D particles and learn their motion using graph neural networks. In practice, this is not enough to maintain physical feasibility over long horizons and may require large amounts of interaction data to learn. We introduce PIEGraph, a novel approach to combining analytical physics and data-driven models to capture object
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
97. From Experimental Limits to Physical Insight: A Retrieval-Augmented Multi-Agent Framework for Interpreting Searches Beyond the Standard Model
Source: http://arxiv.org/abs/2605.02491v1 (2026)
Summary: Modern searches for physics beyond the Standard Model produce rapidly expanding literature containing heterogeneous information, including textual analyses, numerical datasets, and graphical exclusion limits. Integrating these distributed sources remains a time-consuming and manual process for physicists. We present HEP-CoPilot, a retrieval-augmented multi-agent AI framework for the exploration and interpretation of high-energy physics literature. The system unifies textual information from pu
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
98. Recent Results from NA62 in Kaon and Dump Mode
Source: http://arxiv.org/abs/2605.02415v1 (2026)
Summary: NA62 is a fixed-target kaon experiment at the CERN SPS. The recent measurement of the ultra-rare decay K^+\toπ^+ν\barν, based on data collected between 2016 and 2024 is reported. The measurement is compatible with previous measurements and the Standard Model. The experiment can also be operated in an alternative beam-dump mode. From this mode, a search for new-physics particles with masses in the range of 150 to 2000~MeV, based on data collected in dedicated runs between 2021 and 2024 is repor
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
99. Voltage-Tunable Nonequilibrium Dispersion Interactions
Source: http://arxiv.org/abs/2605.02315v1 (2026)
Summary: We develop a nonequilibrium Green's function theory for dispersion interactions between two nanostructures, each an open quantum system driven into a nonequilibrium steady state by an applied bias voltage. Starting from the two-particle nonequilibrium Green's function, we derive a general expression for the interaction energy in terms of the polarisation propagators of the individual systems. The interaction energy admits a physically transparent decomposition into charge noise and charge dissip
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
100. Generative Modeling with Orbit-Space Particle Flow Matching
Source: http://arxiv.org/abs/2605.02222v1 (2026)
Summary: We present Orbit-Space Geometric Probability Paths (OGPP), a particle-native flow-matching framework for generative modeling of particle systems. OGPP is motivated by two insights: (i) particles are defined up to permutation symmetries, so anonymous indexing inflates per-index target variance and yields curved, hard-to-learn flows; and (ii) particles live in physical space, so the flow terminal velocity has physical meaning and can encode geometric attributes, e.g., surface normals. OGPP instant
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
101. Deep Speckle Holography Redefines Label-free Nanoparticle Phenotyping
Source: http://arxiv.org/abs/2605.01982v1 (2026)
Summary: Nanoparticle metrology has long been constrained by the assumption that, in mixed and unprocessed fluids, particle size, morphology, composition, and species-specific abundance cannot be resolved simultaneously from a single label-free measurement. Here, we revisit this long-standing limitation by showing that complex forward speckle-holographic fields define an information-rich optical space for multidimensional particle signatures. We report deep speckle holography, a physics-informed generati
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
102. Conductor-Insulator Crossover in the Steady-State Ultracold Plasmas
Source: http://arxiv.org/abs/2605.01598v1 (2026)
Summary: We present a theoretical model of the ionization-recombination balance in the ultracold Rydberg gas-plasma mixture, which is caused by the collective processes rather than by individual interparticle interactions. This should be well relevant to the steady-state ultracold plasmas obtained in the recent experiment [B. Zelener, et al. Phys. Rev. Lett. 132, 115301 (2024)]. As follows from our calculations, there should be a sharp crossover from the insulating phase (Rydberg gas) to the conducting o
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
103. Hidden gauge invariance
Source: http://arxiv.org/abs/2605.01453v1 (2026)
Summary: The role of gauge invariance is reconsidered by "deriving it without assuming it" within an autonomous approach to interactions of Standard Model particles. In this approach, the renormalizable interactions are purely constrained by quantum principles, notably the representation on a Hilbert space. It is shown that - surprisingly - most interactions fulfilling the constraints enjoy a "hidden" gauge invariance (uncovered via redefinitions of quantum fields). The hidden gauge invariance is exact a
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
104. Phase-shift instanton approach to tunneling duality in Read--Rezayi state
Source: http://arxiv.org/abs/2605.01206v1 (2026)
Summary: We study the duality between quasi-particle and electron tunneling in point-contact geometries of fractional quantum Hall states. To treat non-Abelian edge operators, we introduce a "phase-shift instanton" that incorporates phase factors from primary fields into the instanton gas framework. Using this method, we reformulate the Moore--Read duality and obtain an explicit dual description for the k=3 Read-Rezayi state. Our results clarify how quasi-particle tunneling produces characteristic phas
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
105. SRA: Span Representation Alignment for Large Language Model Distillation
Source: http://arxiv.org/abs/2605.01205v1 (2026)
Summary: Cross-Tokenizer Knowledge Distillation (CTKD) enables knowledge transfer between a large language model and a smaller student, even when they employ different tokenizers. While existing approaches mainly focus on token-level alignment strategies, which are often brittle and sensitive to discrepancies between tokenizers, we argue that the method of aggregating tokens into more robust representations before distillation is of equal importance. In this paper, we introduce \textbf{SRA} (\textbf{S}pa
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
106. Learning Discriminators for Resampling in the Ensemble Gaussian Mixture Filter through a Normalizing Flow Approach
Source: http://arxiv.org/abs/2605.01089v1 (2026)
Summary: The ensemble Gaussian mixture filter (EnGMF) is a powerful, convergent particle filter capable of medium-to-high dimensional non-linear filtering. The EnGMF relies on a resampling step that can generate physically unrealistic posterior samples, that would subsequently produce physically meaningless forecasts. This work introduces the discriminator-informed resampling procedure, that augments the posterior resampling step with a discriminator that accepts or rejects candidate particles based on t
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
107. Neural Posterior Estimation for UHECR source inference from 3D propagation simulations
Source: http://arxiv.org/abs/2605.01004v1 (2026)
Summary: The identification of ultra-high energy cosmic ray sources is one of the open challenges of high-energy astrophysics. As charged particles travel through the Universe, they are deflected by extragalactic magnetic fields and lose energy through interactions with background radiation, making source inference highly non-trivial. Existing approaches either rely on simplified propagation models or on computationally prohibitive Monte Carlo methods. Here we present a simulation-based inference framewo
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
108. Upstream neutrino production and delayed jet emission in the blazar GB6 J1542+6129
Source: http://arxiv.org/abs/2605.00785v1 (2026)
Summary: We investigate the physical origin and location of high-energy neutrino emission in active galactic nuclei (AGN) using the blazar GB6 J1542+6129 as a case study, testing whether neutrinos are produced in compact regions near the black hole or in parsec-scale jets. This question is central to understanding the conditions under which hadronic processes become efficient in AGN environments. We perform a multimessenger analysis combining ~17 years of Fermi-LAT gamma-ray data, including a 5% adaptive
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
109. Reconstruction of spin structures from topological charge distributions via generative neural network systems
Source: http://arxiv.org/abs/2605.00732v1 (2026)
Summary: Localized topological defects inherently possess a multiscale character. While their microstructure configuration depends on the specific physical system, their topological features and mutual interactions can be described on the macroscale in terms of a particle representation. However, determining the physical properties associated with a given defect pattern often requires knowledge of the underlying microscopic structure. In this work, we extend a Wasserstein generative adversarial neural ne
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
110. Free Energy Surface Sampling via Reduced Flow Matching
Source: http://arxiv.org/abs/2605.00337v1 (2026)
Summary: Sampling the free energy surface, namely, the distribution of collective variables (CVs), is a crucial problem in statistical physics, as it underpins a better understanding of chemical reactions and conformational transitions. Traditional methods for free energy surface sampling involve simulation in high-dimensional configuration space and projecting the resulting configurations onto the CV space. To reduce the computational costs of such sampling, we propose FES-FM, a reduced flow matching (F
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
111. Lucid-XR: An Extended-Reality Data Engine for Robotic Manipulation
Source: http://arxiv.org/abs/2605.00244v1 (2026)
Summary: We introduce Lucid-XR, a generative data engine for creating diverse and realistic-looking multi-modal data to train real-world robotic systems. At the core of Lucid-XR is vuer, a web-based physics simulation environment that runs directly on the XR headset, enabling internet-scale access to immersive, latency-free virtual interactions without requiring specialized equipment. The complete system integrates on-device physics simulation with human-to-robot pose retargeting. Data collected is furth
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
112. Quantized Collective Fluctuations in Correlated Fermion Systems
Source: http://arxiv.org/abs/2605.00211v1 (2026)
Summary: Collective excitations in fermionic systems play a crucial role in determining their physical properties. An important challenge is to develop efficient theoretical approaches for describing these excitations and their coupling to fermionic degrees of freedom. In this work, we revisit the problem of quantifying the contributions of individual bosonic modes of collective fluctuations to observable properties of correlated fermion systems within the framework of the Fluctuating Local Field (FLF) m
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
113. EMBER: Machine-Learning Detection of Modulated Ion Acoustic Waves and Associated Core-Electron Heating in the Solar Wind with Parker Solar Probe
Source: http://arxiv.org/abs/2605.00162v1 (2026)
Summary: Modulated ion acoustic waves (IAWs) -- including triggered ion acoustic waves (TIAWs) and frequency-dispersed ion acoustic waves (FDIAWs) -- are increasingly recognized as efficient drivers of electron heating in the solar wind through nonlinear wave-particle interactions. Identification of these events in the Parker Solar Probe (PSP) FIELDS burst-mode archive has so far relied on expert visual inspection and does not scale to the full mission. We present EMBER (Electron heating from Modulated B
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
114. Model-aided quantification of patient-specific benefit in mitigating radiation induced lymphopenia by particle therapy of cancer
Source: http://arxiv.org/abs/2605.00144v1 (2026)
Summary: Treatment-related lymphopenia is a frequent and clinically significant consequence of cancer therapy that can compromise immune-mediated tumor control and worsen patient outcomes. Despite its importance, no mechanistic framework exists to accurately predict the severity of lymphopenia from patient-specific data. Here, we present a biokinetic model that quantitatively describes lymphocyte depletion and recovery during and after radiotherapy, integrating radiation dose-volume distributions, blood
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
115. Comment on "Quantum teleportation, entanglement, LQU and LQFI in e^{+} e^{-} \rightarrow \mathrm{Y} \overline{\mathrm{Y}} processes at BESIII through noisy channels''
Source: http://arxiv.org/abs/2605.00129v1 (2026)
Summary: We provide a critical assessment of a recent study applying quantum information concepts, including noisy channels and teleportation fidelity, to hyperon-antihyperon pairs produced in e^{+}e^{-} \to Y\bar Y reactions at BESIII. While the spin density matrix reconstructed from experimental data provides a physically meaningful description of production correlations, we argue that its subsequent interpretation in terms of standard decoherence models-such as amplitude damping, phase damping, and
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
116. Comment on "Controlling the dynamical evolution of quantum coherence and quantum correlations in e^{+} e^{-} \rightarrow Λ\barΛ processes at BESIII''
Source: http://arxiv.org/abs/2605.00127v1 (2026)
Summary: We critically examine recent claims [Phys. Rev. D 113, 016024 (2026)] regarding quantum coherence, steering, and non-Markovian dynamics in the hyperon-antihyperon system produced in the process e^{+} e^{-} \rightarrow Λ\barΛ. We argue that the theoretical framework employed in the analyzed work suffers from fundamental physical inconsistencies. In particular, the treatment of the Λ\barΛ pair as a bipartite system evolving under correlated quantum channels is not physically justified, since t
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
117. Towards a measurement of the primordial helium isotope ratio
Source: http://arxiv.org/abs/2605.00122v1 (2026)
Summary: We report the discovery of two metastable neutral helium (He I*) absorbers in the Milky Way, and use the upgraded CRyogenic InfraRed Echelle Spectrograph on the Very Large Telescope to determine the helium isotope ratio, $^{3}$He/$^{4}$He, along these sightlines. We have also obtained deeper observations of a third sightline to report a \lesssim4\% precision measure of $^{3}$He/$^{4}$He in the Orion Nebula. These data have allowed us to place a 2σ limit on the time-variability of He I* absor
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
118. Finite-temperature operator basis on \mathbb{R}^3 \times S^1 for SMEFT
Source: http://arxiv.org/abs/2605.02878v1 (2026)
Summary: We present the first complete non-redundant operator basis for the Standard Model Effective Field Theory (SMEFT) at finite temperature, using the imaginary-time formalism. By employing the Hilbert series method on the space-time manifold \mathbb{R}^3 \times S^1, we classify all effective operators up to dimension-six. In constructing the basis, we consistently impose integration-by-parts and equations-of-motion constraints along spatial directions. We further analyze the impact of additional c
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
119. Trust, but Verify: Peeling Low-Bit Transformer Networks for Training Monitoring
Source: http://arxiv.org/abs/2605.02853v1 (2026)
Summary: Understanding whether deep neural networks are effectively optimized remains challenging, as training occurs in highly nonconvex landscapes and standard metrics provide limited visibility into layer-wise learning quality. This challenge is particularly acute for transformer-based language models, where training is expensive, models are often reused in frozen form, and poorly optimized layers can silently degrade performance. We propose a layer-wise peeling framework for monitoring training dynam
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
120. Search for a new heavy scalar resonance decaying into the Higgs boson and a new scalar particle in the \mathrm{b}\bar{\mathrm{b}}\mathrm{b}\bar{\mathrm{b}} final state using proton-proton collisions at \sqrt{s} = 13 TeV
Source: http://arxiv.org/abs/2605.02848v1 (2026)
Summary: A search for a new heavy scalar resonance (X) decaying into the 125 GeV standard model Higgs boson (H) and a new scalar particle (Y) in proton-proton collisions at a center-of-mass energy of 13 TeV is presented. The analysis is performed using a data sample corresponding to an integrated luminosity of 138 fb$^{-1}$ collected with the CMS detector during LHC Run 2. The \mathrm{b}\bar{\mathrm{b}}\mathrm{b}\bar{\mathrm{b}} final state is used as a probe to search for phenomena beyond the standard
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
121. Compositional Neural-Cyber-Physical System Verification in the Interactive Theorem Prover of Your Choice
Source: http://arxiv.org/abs/2605.02790v1 (2026)
Summary: Formal verification of neuro-symbolic cyber-physical systems, such as drones, medical devices and robots, is complicated. Neural components must be trained to be optimal with respect to the available data as well as the safety specifications, and then verified using specialised solvers. Symbolic models of the "cyber" and "physical" behaviour of the system must be constructed and verified in interactive theorem provers (ITPs), often requiring mature mathematical libraries to reason about the inte
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
122. Implicit Minimal Surfaces for Bijective Correspondences
Source: http://arxiv.org/abs/2605.02770v1 (2026)
Summary: We introduce an implicit representation of continuous, bijective, orientation-preserving maps between genus zero surfaces with or without boundary. The distortion of these maps can easily be minimized by optimizing the Ginzburg-Landau functional - a ubiquitous model in physics and differential geometry - leading to a simple algorithm for computing bijective correspondences using only standard tools of the tangent vector field toolbox. The method avoids combinatorial mesh modifications and does n
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
123. FoR-Net: Learning to Focus on Hard Regions for Efficient Semantic Segmentation
Source: http://arxiv.org/abs/2605.02764v1 (2026)
Summary: We present FoR-Net, a lightweight architecture for semantic segmentation that focuses on identifying and enhancing hard regions. Instead of relying on heavy global modeling, FoR-Net adopts an efficient strategy that selectively emphasizes informative regions through a learned importance map and a Top-K activation mechanism. Specifically, a selector module predicts region-wise importance, enabling the model to focus on challenging areas such as thin structures and object boundaries. Multi-scale r
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
124. Does it Really Count? Assessing Semantic Grounding in Text-Guided Class-Agnostic Counting
Source: http://arxiv.org/abs/2605.02752v1 (2026)
Summary: Open-world text-guided class-agnostic counting (CAC) has emerged as a flexible paradigm for counting arbitrary object classes by using natural language prompts. However, current evaluation protocols primarily focus on standard counting errors within single-category images, overlooking a fundamental requirement: the ability to correctly ground the textual prompt in the visual scene. In this paper, we show that several state-of-the-art CAC models often struggle to determine which object class shou
| Symbol | Mapping |
|---|---|
| Ω | observed phenomenon / measured quantity |
| Ψ | theoretical mechanism / operator |
| B | conserved basis / fundamental component |
| C | dynamic context / variable parameter |
| Δ | residual error / noise / uncertainty |
125. Virtual Scanning for NSCLC Histology: Investigating the Discriminatory Power of Synthetic PET
Source: http://arxiv.org/abs/2605.02746v1 (2026)
Summary: Accurate histological differentiation between adenocarcinoma (ADC) and squamous cell carcinoma (SCC) is critical for personalized treatment in non-small cell lung cancer (NSCLC). While [$^{18}$F]FDG PET/CT is a standard tool for the clinical evaluation of lung cancer, its utility is often limited by high costs and radiation exposure. In this paper, we investigate the feasibility of "virtual scanning" as a feature-enhancement strategy by evaluating whether synthetic PET data can provide complemen
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
126. Bound States and Resonance Analysis of One-Dimensional Relativistic Parity-Symmetric Two Point Interactions
Source: http://arxiv.org/abs/2605.02733v1 (2026)
Summary: We consider the one-dimensional Dirac equation with the most general relativistic contact interaction supported on two points symmetrically located with respect to the origin. In order to determine the shape of the interaction, we use a distributional method, which in the present case is equivalent to the standard method of defining contact interactions by self-adjoint extensions of symmetric operators. The interaction on each of these two points depends on four parameters, each one having a cle
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
127. Geometric Formulation of Power-Efficiency Bounds in Carnot-like Engines
Source: http://arxiv.org/abs/2605.02732v1 (2026)
Summary: We formulate the power-efficiency constraint of Carnot-like heat engines as a geometric optimization problem in the plane of normalized branch dissipations. Efficiency contours are straight lines in this plane, so maximizing efficiency at fixed power reduces to bounding the slope of an admissible line. We apply this framework to branch-resolved power-law dissipation, where the irreversible loss on each isothermal branch decays with the branch duration with a common exponent rather than following
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
128. Perceptual Flow Network for Visually Grounded Reasoning
Source: http://arxiv.org/abs/2605.02730v1 (2026)
Summary: Despite the success of Large-Vision Language Models (LVLMs), general optimization objectives (e.g., standard MLE) fail to constrain visual trajectories, leading to language bias and hallucination. To mitigate this, current methods introduce geometric priors from visual experts as additional supervision. However, we observe that such supervision is typically suboptimal: it is biased toward geometric precision and offers limited reasoning utility. To bridge this gap, we propose Perceptual Flow Net
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
129. Temporally Consistent Object 6D Pose Estimation for Robot Control
Source: http://arxiv.org/abs/2605.02708v1 (2026)
Summary: Single-view RGB object pose estimators have reached a level of precision and efficiency that makes them good candidates for vision-based robot control. However, off-the-shelf methods lack temporal consistency and robustness that are mandatory for a stable feedback control. In this work, we develop a factor graph approach to enforce temporal consistency of the object pose estimates. In particular, the proposed approach: (i) incorporates object motion models, (ii) explicitly estimates the object p
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
130. Semi-Markov Models with Particle-Based Bayesian Inference for Epidemics
Source: http://arxiv.org/abs/2605.02706v1 (2026)
Summary: The COVID-19 pandemic has been characterised by multiple waves of transmission driven by interventions and emerging variants, challenging epidemic models that assume gradually evolving transmission dynamics. We propose a class of state-space models in which the transmission rate evolves through persistent regimes of random duration, governed by a semi-Markov process. This formulation yields an interpretable representation of sustained transmission phases and retains a parsimonious parameterisati
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
131. MSMixer: Learned Multi-Scale Temporal Mixing with Complementary Linear Shortcut for Long-Term Time Series Forecasting
Source: http://arxiv.org/abs/2605.02689v1 (2026)
Summary: Long-term time series forecasting requires models that simultaneously capture rapid oscillations, medium-range periodicities, and slowly evolving macro-trends from a fixed look-back window. Existing lightweight MLP-based models typically operate on a single temporal resolution, limiting their ability to explicitly model patterns at multiple scales. We propose MSMixer, a channel-independent multi-scale MLP architecture that addresses this limitation through three complementary innovations: (i) th
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
132. EstemPMM: Polynomial Maximization Method for Non-Gaussian Regression and Time Series in R
Source: http://arxiv.org/abs/2605.02673v1 (2026)
Summary: We describe the R package EstemPMM, which implements the Polynomial Maximization Method (PMM) for parameter estimation under non-Gaussian errors. PMM exploits higher-order cumulants of the error distribution -- specifically the third standardized moment gamma_3 and fourth standardized moment gamma_4 -- to construct estimators that outperform ordinary least squares (OLS) whenever the errors are asymmetric or leptokurtic. The package provides a unified interface for linear regression (lm_pmm2, lm_
| Symbol | Mapping |
|---|---|
| Ω | observed phenomenon / measured quantity |
| Ψ | theoretical mechanism / operator |
| B | conserved basis / fundamental component |
| C | dynamic context / variable parameter |
| Δ | residual error / noise / uncertainty |
133. The 2026 ACII Dyadic Conversations (DaiKon) Workshop & Challenge
Source: http://arxiv.org/abs/2605.02672v1 (2026)
Summary: The 2026 ACII Dyadic Conversations (ACII-DaiKon) Workshop & Challenge introduces a benchmark for modeling interpersonal affect and social dynamics in dyadic conversations. Although conversational affect modeling has advanced rapidly, most benchmarks remain speaker-centric and underrepresent coupled, time-evolving processes between partners, including directional influence, conversational timing coordination, and rapport development. To address this gap, ACII-DaiKon presents three coordinated sub
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
134. Fuzzy Fingerprinting Encoder Pre-trained Language Models for Emotion Recognition in Conversations: Human Assessment and Validity Study
Source: http://arxiv.org/abs/2605.02665v1 (2026)
Summary: In Emotion Recognition in Conversations (ERC), model decisions should align with nuanced human perception and ideally provide insights on the classification process. Standard encoder pre-trained language models (PLMs) are the state-of-the-art at these tasks but offer little insight into why a certain prediction is made. This is especially problematic in imbalanced datasets, where most utterances are labeled as neutral, making these models frequently misclassify minority emotions as the majority
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
135. Is XRISM/Resolve probing a "raining" absorber in Mrk 509?
Source: http://arxiv.org/abs/2605.02662v1 (2026)
Summary: X-ray spectroscopy of AGN offers unique insights into the reprocessing of radiationand gas dynamics near SMBH. The Sey 1 galaxy Mrk 509 is an ideal laboratory for these studies since its complex FeK$α$ in emission and the past evidences of transient and fast flows. We present the first high-resolution 2-12 keV spectrum of Mrk 509 obtained with the Resolve calorimeter on-board XRISM, complemented with XMM-Newton and NuSTAR observations to constrain the broadband continuum. We modeled the spectra
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
136. Gradient-Gated DPO: Stabilizing Preference Optimization in Language Models
Source: http://arxiv.org/abs/2605.02626v1 (2026)
Summary: Preference optimization has become a central paradigm for aligning large language models with human feedback. Direct Preference Optimization (DPO) simplifies reinforcement learning from human feedback by directly optimizing pairwise preferences, removing the need for reward modeling and policy optimization. However, recent work shows that DPO exhibits a squeezing effect, where negative gradients applied to rejected responses concentrate probability mass on high-confidence predictions while suppr
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
137. Global-Local Feature Decoding with Adapter-Guided SAMv2 for Salient Object Detection
Source: http://arxiv.org/abs/2605.02616v1 (2026)
Summary: Salient Object Detection (SOD) remains an essential yet underexplored task in the era of large-scale vision models. Although foundation models like SAM exhibit strong generalization, their potential for SOD is not fully realized, and training or fully fine-tuning them is computationally expensive and prone to overfitting under limited data. To overcome these challenges, we introduce GLASSNet, a Global-Local feature decoding framework that uses SAMv2 as a frozen encoder paired with a lightweight,
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
138. The Ancestor Hawkes Process with an Application to Group Chat Data
Source: http://arxiv.org/abs/2605.02613v1 (2026)
Summary: The Hawkes process is used to model point process data where events occur in clusters and bursts. In a standard multivariate Hawkes process, every event that occurs in a dimension has an equal impact on the process intensity. However, this assumption is unrealistic in applications such as the modelling of message cascades where the effect of an event depends on whether it was the initiator or a member of a particular cluster. To alleviate this, we introduce a new Hawkes process model, the Ancest
| Symbol | Mapping |
|---|---|
| Ω | observed phenomenon / measured quantity |
| Ψ | theoretical mechanism / operator |
| B | conserved basis / fundamental component |
| C | dynamic context / variable parameter |
| Δ | residual error / noise / uncertainty |
139. Selective Prediction from Agreement: A Lipschitz-Consistent Version Space Approach
Source: http://arxiv.org/abs/2605.02611v1 (2026)
Summary: We consider selective classification with abstention in the fixed-pool (or transductive) setting, where the unlabeled pool is given beforehand and only a subset of points can be queried for labels. Our main insight is to view selective prediction through agreement: given queried labels and Lipschitz margin constraints in an embedding space, the version space of Lipschitz-consistent classification heads is well defined. We obtain upper and lower Lipschitz margin bounds that define, for each pool
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
140. Foundation-Model-Based Agents in Industrial Automation: Purposes, Capabilities, and Open Challenges
Source: http://arxiv.org/abs/2605.02592v1 (2026)
Summary: Foundation models, particularly large language models, are increasingly integrated into agent architectures for industrial tasks such as decision support, process monitoring, and engineering automation. Yet evidence on their purposes, capabilities, and limitations remains fragmented across domains. This work examines how mature foundation-model-based agent systems are in industrial contexts, how their functional profile differs from conventional agent systems, and which limitations persist. A sy
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
141. Analyticity and symmetry of band extrema in gapped solids: when does the effective mass approximation hold?
Source: http://arxiv.org/abs/2605.02576v1 (2026)
Summary: The effective mass approximation is widely used across models of carrier transport, optical response, and excitons in semiconductors and insulators, but its validity hinges on the assumption that the band dispersion E_n(\mathbf{k}) at the relevant extremum is analytic. We prove that analyticity holds at any non-degenerate extremum for the standard ab initio Hamiltonians, including density functional theory with local or hybrid exchange-correlation functionals and for band-edge G_0W_0 quasipa
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
142. Open-Closed-Open Triality Beyond Matrix Models
Source: http://arxiv.org/abs/2605.02885v1 (2026)
Summary: We explore the ideas of open-closed-open triality within twisted holography. Starting from two transverse stacks of branes in the B-model on the resolved conifold, we obtain two equivalent open string descriptions. Both are full-fledged field theories. In the appropriate limit, they simplify to gauged $βγ$-systems with determinant insertions, as expected from open string field theory. The $ρ$-matrix models that have appeared previously in the literature appear from an on-shell analysis of the fi
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
143. Generalized Kontsevich model, topological recursion, and $r$-spin theory
Source: http://arxiv.org/abs/2605.02643v1 (2026)
Summary: By employing polynomial-reduced KP integrability, combined with the string equation, this work establishes explicit relationships between the generalized Kontsevich model, the topological recursion of the spectral curve, and the geometry of moduli spaces of $r$-spin curves. For the generalized Kontsevich model with a polynomial potential, we derive an explicit formulation and provide a proof of these widely expected correspondences. Furthermore, the method is extended to the cases with admissibl
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
144. All DDF/lightcone two-particle decay widths up to level 8 in open bosonic string in critical dimension
Source: http://arxiv.org/abs/2605.02013v1 (2026)
Summary: We carry out an ``experimental analysis'' in which we explicitly compute all possible Abelian two-particle decay channels (excluding the tachyon) of open bosonic massive states up to level (8), amounting to approximately 2,000,000 cases. The aim is to develop intuition about which states are the most stable and to identify the dominant decay channels. Our results show that, for all levels considered, the ratio of decay widths between the slowest- and fastest-decaying states is of order one. In m
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
145. A Non-local "Boundary'' Term for Two-Point Amplitudes in String Field Theory
Source: http://arxiv.org/abs/2605.01784v1 (2026)
Summary: We propose a new boundary'' term in free bosonic string field theory. Here, the term boundary'' refers to a contribution introduced to restore the cyclicity broken by the insertion of a stringy step-function operator, although it is not strictly localized as it involves an operator that selects positive-energy modes. We construct this term as a bilinear form involving the commutator of the BRST operator with the step-function operator. The resulting action has a well-defined variational prin
| Symbol | Mapping |
|---|---|
| Ω | observed phenomenon / measured quantity |
| Ψ | theoretical mechanism / operator |
| B | conserved basis / fundamental component |
| C | dynamic context / variable parameter |
| Δ | residual error / noise / uncertainty |
146. From Graph Laplacians to String Partition Functions: A Rigorous Pathway from Discrete Spectra to Emergent Geometry
Source: http://arxiv.org/abs/2605.00452v1 (2026)
Summary: This work establishes rigorous mathematical foundations connecting spectral graph theory, algebraic geometry, and string theory. We construct a canonical mapping whereby any finite graph G defines a compact Riemann surface X_{G} (the spectral curve) whose period matrix Ω_{G} encodes the graph's coarse-grained spectral information. We demonstrate that in the continuum limit of graph sequences converging to Riemannian manifolds, these spectral curves converge in the Deligne-Mumford com
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
147. New gravitational-wave templates for metastable cosmic strings: Loop breaking versus network collapse
Source: http://arxiv.org/abs/2604.28097v1 (2026)
Summary: Metastable cosmic strings are a common prediction of grand unified theories and act as a source of a gravitational-wave background (GWB) that can explain the 2023 pulsar timing array (PTA) signal. In this paper, we revisit the GWB signal from metastable strings, emphasizing the need to carefully distinguish between two different time scales: (i) t_LB, the time scale of loop breaking because of spontaneous monopole nucleation on closed string loops, and (ii) t_NC, the time scale of network collap
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
148. Topological antiqued mechanical toy
Source: http://arxiv.org/abs/2604.27554v1 (2026)
Summary: {\it Jacob's ladder} -- a classic children's toy -- is a simple mechanical frame comprising rigid blocks connected by strings that shows curious unidirectional flipping waves. Nonetheless, its physical origin remains elusive. By combining experiment, numeral simulation, and theory, we show that understanding the underlying design principle of this toy requires diverse physical ideas. First, we conduct a water-tank experiment that excludes the domino-like mechanism, thus defying widespread expect
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
149. Investigating More Explainable and Partition-Free Compositionality Estimation for LLMs: A Rule-Generation Perspective
Source: http://arxiv.org/abs/2604.27340v1 (2026)
Summary: Compositional generalization tests are often used to estimate the compositionality of LLMs. However, such tests have the following limitations: (1) they only focus on the output results without considering LLMs' understanding of sample compositionality, resulting in explainability defects; (2) they rely on dataset partition to form the test set with combinations unseen in the training set, suffering from combination leakage issues. In this work, we propose a novel rule-generation perspective for
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
150. Digital Simulation of Non-Hermitian Knotted Bands on Quantum Hardware
Source: http://arxiv.org/abs/2604.26914v1 (2026)
Summary: Knots and links represent a fundamental motif of non-local connectivity that permeates the physical sciences from string theory to protein folds. While spectral braiding has been explored in two-band non-Hermitian models across various platforms, its direct simulation and characterization on programmable quantum hardware, particularly beyond two strands, remains a formidable challenge due to the limitations of variational optimization in these systems. Here, we introduce a family of non-Hermitia
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
151. Scale-separated vacua with extended supersymmetry
Source: http://arxiv.org/abs/2604.26755v1 (2026)
Summary: We propose the first examples of scale-separated vacua with extended supersymmetry. They arise as circle compactifications of four-dimensional vacua of massive type IIA supergravity with scale separation, upon introducing additional fluxes and sources. We provide both the ten-dimensional solutions and the three-dimensional effective descriptions in terms of Kähler potential and superpotential. The conformal dimensions of the putative dual two-dimensional field theory appear not to be integers. T
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
152. Order-Sensitive Sequential Interventions on Ideal Lattices
Source: http://arxiv.org/abs/2604.26472v1 (2026)
Summary: We study sequential interventions under prerequisite constraints. In this setting, admissible intervention sequences are paths in the ideal lattice of a finite prerequisite poset rather than unconstrained action strings. We give an exact local-to-global theory of order sensitivity on this state space. First, we prove that any two admissible paths with the same endpoints differ by a finite sequence of elementary diamond swaps. Second, for edge-additive path valuations, we show that path-independe
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
153. Exponentially improved quantum simulation of scalar QFT
Source: http://arxiv.org/abs/2604.26226v1 (2026)
Summary: Quantum simulations of scalar quantum field theories (QFT) provide important benchmarks for demonstrating quantum advantage. We revisit digitization in the occupation basis, which is typically hindered by unfavorable circuit depth scaling. We present an approach that achieves exponential reductions in circuit depth and significantly mitigates Trotter errors by diagonalizing field operators prior to their decomposition into Pauli strings. Focusing on a scalar QFT in 2+1 dimensions, we show that t
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
154. The Super Virasoro Minimal String from 3d Supergravity
Source: http://arxiv.org/abs/2604.26038v1 (2026)
Summary: The super Virasoro minimal string is defined by coupling spacelike and timelike super Liouville theories on the worldsheet. There are four different theories 0A$^\pm$ and 0B$^\pm$ depending on discrete choices on the worldsheet. We show that these theories arise naturally from quantization of 3d supergravity, and the amplitudes compute the dimension (+) or superdimension (-) of the space of \mathcal{N}=1 superconformal blocks modulo crossing symmetry. Both 0A$^+$ and 0B$^+$ are perturbativ
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
155. On Quantum Obstructions in Type IIA Orientifolds
Source: http://arxiv.org/abs/2604.25988v1 (2026)
Summary: Quantum corrections can severely modify or even remove classical infinite distance limits in four-dimensional gravity theories with minimal N=1 supersymmetry. In this note we study this effect for infinite distance directions in the classical Kähler moduli sector of Type IIA orientifolds at fixed four-dimensional dilaton. We present several independent arguments why such infinite distance directions are absent at the quantum level. These involve the worldsheet theory of EFT strings and the putat
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
156. de Sitter in String Theory vs. Gibbons & Hawking
Source: http://arxiv.org/abs/2604.25918v2 (2026)
Summary: This paper corroborates a statement that perturbative string theory does not admit a solution whose spacetime metric is de Sitter times a closed manifold, to all orders in the α' and g_s expansions, under the assumption that the logarithm of the sphere partition function of Euclidean quantum gravity receives a nonzero contribution proportional to \frac{1}{G_N} in a saddle-point approximation. This assumption is related to the Gibbons-Hawking proposal that the entropy of the cosmological ho
| Symbol | Mapping |
|---|---|
| Ω | gravitational signal |
| Ψ | GR / cosmological model |
| B | spacetime metric |
| C | mass distribution |
| Δ | quantum foam / noise |
157. Path integral for the closed superstring and the matrix model
Source: http://arxiv.org/abs/2604.25052v1 (2026)
Summary: The IKKT matrix model, which is proposed as a non-perturbative formulation of superstring theory, has an issue typical of zero-dimensional theory -- ambiguity in the definition of its path integral. To tackle this issue, we revisit the path-integral formulation of perturbative string theory. In this article, we review recent progress in the string world-sheet path-integral formulation, especially in the Minkowski signature. We first derive the Minkowskian path integral of the Nambu-Goto type equ
| Symbol | Mapping |
|---|---|
| Ω | observed phenomenon / measured quantity |
| Ψ | theoretical mechanism / operator |
| B | conserved basis / fundamental component |
| C | dynamic context / variable parameter |
| Δ | residual error / noise / uncertainty |
158. String theory in the infrared
Source: http://arxiv.org/abs/2604.22916v1 (2026)
Summary: I briefly summarize a recent research program aiming to probe the landscape of low-energy phases of string theory from a global perspective. Borrowing conceptual lessons from the swampland program, I will discuss how the effective theories of gravity produced by low-energy string theory are far from generic; rather, their infrared data is connected by universal scaling relations which become non-trivial in species limits. In particular, a worldsheet analysis reveals that higher-derivative Wilson
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
159. Heterotic Ouroboros
Source: http://arxiv.org/abs/2604.22915v1 (2026)
Summary: M-theory on {\mathbf{S}}^1\vee{\mathbf{S}}^1 has recently been proposed to yield, via quotients, ten-dimensional non-supersymmetric string theories. We revisit the construction that leads to the heterotic theories, finding a consistent set of rules that reproduces the light spectra and gauge groups, including indications of their global structure. Our approach uses the gauge enhancement mechanism of type I' string theory, applied to a setting in which the type I' interval is curled onto itself
| Symbol | Mapping |
|---|---|
| Ω | observed phenomenon / measured quantity |
| Ψ | theoretical mechanism / operator |
| B | conserved basis / fundamental component |
| C | dynamic context / variable parameter |
| Δ | residual error / noise / uncertainty |
160. Generalised Symmetries and Swampland-Type Constraints from Charge Quantisation via Rational Homotopy Theory
Source: http://arxiv.org/abs/2604.22656v1 (2026)
Summary: Sati and Schreiber [arXiv:2402.18473, arXiv:2512.12431] have proposed that charge quantisation in quantum field theory and string theory is governed by a homotopy type \mathcal A. We provide a refinement of this postulate, incorporating other currents including matter, connecting it to adjustments in higher gauge theory and providing a prescription for determining \mathcal A, and show that, while the homotopy groups of \mathcal A classify the possible brane charges, the homology groups of
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
161. The exact column texture: tree-level Yukawa universality in heterotic Z_3 \times Z_3 orbifolds
Source: http://arxiv.org/abs/2604.22403v1 (2026)
Summary: On T^6/(Z_3 \times Z_3) heterotic orbifolds where three quark generations arise from Z_3 fixed-point triplication, we prove that the leading-order tree-level Yukawa amplitude -- the three-point coupling among massless string states -- has an exact column texture: Y_{\rm lead}(i,j) = c\,\varepsilon^{q_R[j]}, with the O(1) coefficient c universal across all left-handed generations i. Five independent lines of evidence are given: (1) the worldsheet instanton geometry on the SU(3) root
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
162. O(d,d) symmetric gravity and finite coupling holography
Source: http://arxiv.org/abs/2604.21447v1 (2026)
Summary: We construct asymptotically AdS$_5$ black brane solutions in a theory of gravity with an infinite series of curvature corrections. The action is based on an O(d,d) symmetric ansatz which has been argued to describe the classical NSNS sector of string theories. We find that, for this general class of theories, the singularity behind the horizon is not resolved by the curvature corrections. The approach to the singularity is however generically modified, being characterized by different Kasner e
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
163. On non-relativistic integrable models and 4d SCFTs
Source: http://arxiv.org/abs/2604.19885v2 (2026)
Summary: We elaborate on the relation between the generalized Schur index of N=2 SCFTs in four dimensions and the non-relativistic limit of the elliptic Ruijsenaars-Schneider model. In particular we discuss explicitly how to express generalized Schur indices of theories of class S in terms of elliptic Jack functions. For example, in the A_1 case the indices are given naturally in terms of eigenfunctions of the Lamé equation. We use the expression in terms of eigenfunctions to further check the rece
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
164. Dai-Freed anomalies and level matching in heterotic asymmetric orbifolds
Source: http://arxiv.org/abs/2604.19634v1 (2026)
Summary: We study asymmetric orbifolds of the E_8\times E_8 heterotic string from the perspective of worldsheet Dai-Freed anomalies. Focusing on cyclic symmetries G = \mathbb{Z}_m that act chirally on the fermions and symmetrically on the bosons, we compute the corresponding spin-bordism invariants and derive the conditions for the vanishing of global anomalies from this perspective. In the fermionic description, these conditions are exactly the familiar level-matching constraints, together with the
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
165. Interlayer Five-Spin Polaron in Superconducting Bilayer Nickelates
Source: http://arxiv.org/abs/2605.02891v1 (2026)
Summary: The discovery of high-T_c superconductivity in Ruddlesden-Popper nickelates has sparked substantial effort towards understanding unconventional electronic states beyond a traditional cuprate-like d^9 configurational ground state. An understanding of the interplay between magnetic ground states and multi-orbital physics is key for establishing a microscopic mechanism for superconductivity. In the bilayer nickelates, spin density wave (SDW) order is a prominent feature in the non-superconducting
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
166. de Sitter Vacua & pUniverses
Source: http://arxiv.org/abs/2605.02883v1 (2026)
Summary: We analyze a simple extension of the Schwinger model, which we refer to as the $p$-Schwinger model, on a de Sitter background. In this theory, the charged massless fermions carry non-unit integer charge p. In Minkowski space, the $p$-Schwinger model has discrete zero- and one-form global symmetries that are spontaneously broken, yielding p degenerate ground states. We demonstrate that these features persist upon placing the $p$-Schwinger model on a global de Sitter background, establishing t
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
167. Note on Strong Quantum Markov Properties
Source: http://arxiv.org/abs/2605.02877v1 (2026)
Summary: Quantum many-body Gibbs states satisfy an approximate local Markov property~\cite{chen2025GibbsMarkov}: local noise can be approximately recovered by a quasi-local recovery map, and the conditional mutual information decays for the corresponding tripartition. Recent work~\cite{bergamaschi2025structural} extends this property to approximate stationary states (metastable states) of certain master equations modeling system--bath dynamics, and proposes a strengthened post-selected recovery property
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
168. Precision gravimetry via harnessing interaction-induced resonances in optical lattices
Source: http://arxiv.org/abs/2605.02872v1 (2026)
Summary: By confining a Bose-Einstein condensate in a vertical lattice subjected to a gravitational potential, we analyze the quantum Fisher information to determine its scaling with respect to time, system size and particle number. Our results reveal that in the localized phase, on-site interactions U amplify the quantum Fisher information by a factor with respect to resonance condition U=mh where U is factor of gradient field amplitude h. This precision enhancement can be employed in gravitatio
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
169. Structures of Identical Particle Systems : Efficient Computation of Many-Body Density of States
Source: http://arxiv.org/abs/2605.02864v1 (2026)
Summary: We present a method for approximating the many-body density of states of a system of quantum identical particles, with a reduction of the computational cost by a combinatorial factor compared to the full calculation. This is carried out by considering an isolated quantum system of identical particles, and studying its non-interacting many-body spectrum through the use of a new approach based on a separation of universal combinatorial properties from the system-specific quantities. In this paper
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
170. Emergent flocking dynamics in chemorepulsive active colloids: interplay of disorder and noise
Source: http://arxiv.org/abs/2605.02854v1 (2026)
Summary: Recent studies of active colloidal matter have revealed that a global polar order can arise from chemorepulsive interactions among particles without any explicit alignment interaction between them. In this work, we investigate such chemically interacting active colloids in the presence of quenched disorder, where a fraction of particles are randomly pinned in space. These pinned particles are restricted to rotational motion while remaining chemically coupled to the mobile population. In addition
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
171. Structural evolution of Ti/Cu multilayers as a function of period thickness
Source: http://arxiv.org/abs/2605.02788v1 (2026)
Summary: Ti/Cu multilayers with periods ranging from 4 to 52.5 nm were synthesized by magnetron sputtering to examine how the period thickness affects morphology, crystallization, texture development, and preservation of periodicity. The structural evolution was analyzed using complementary transmission electron microscopy techniques with X-ray diffraction and reflectometry. The results show that the period thickness governs the balance between interfacial transition-region formation, crystallization, an
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
172. Triplet-assisted leakage during singlet-triplet qubit readout with a quantum point contact
Source: http://arxiv.org/abs/2605.02785v1 (2026)
Summary: Quantum point contact readout theory for singlet-triplet qubits in a lateral double quantum dot is extended by including tunneling of triplet configurations into a higher-energy level of the neighboring dot. This additional channel creates energetically allowed leakage pathways that modify the branch-dependent charge and current-noise signatures, even when the Pauli blockade remains effective within the ground-state manifold. The model contains two single-particle levels in each dot. The resulti
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
173. Readout failures in superconducting qubits due to TLS-defects in tunnel junctions
Source: http://arxiv.org/abs/2605.02755v1 (2026)
Summary: Material defects give rise to parasitic two-level systems (TLS) which present a major source of decoherence in superconducting qubits. Here, we study a strongly coupled TLS that resides in the tunnel barrier of transmon qubit. We use multi-photon spectroscopy and TLS strain tuning to explore the rich spectrum of the interacting three-partite system consisting of TLS, qubit, and its readout resonator. This reveals a strong effective resonant coupling between the TLS and the qubit's readout resona
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
174. Exact Microcanonical Formulation and Thermodynamics of Equispaced Finite-Level Systems
Source: http://arxiv.org/abs/2605.02736v1 (2026)
Summary: We present an exact microcanonical formulation, in the thermodynamic limit, for a system of N noninteracting particles with p equally spaced energy levels \{0,ε,2ε,\ldots,(p-1)ε\}. Writing the microcanonical multiplicity Ω_p(E,N) as the coefficient of a generating function and evaluating the resulting representation by saddle-point analysis, we derive analytical expressions for the entropy per particle s(u,p) and inverse temperature β(u,p), with u=E/(Nε) in the interval [0,p-1].
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
175. Benchmarking the Dual Fermion approach on the Falicov-Kimball model
Source: http://arxiv.org/abs/2605.02717v1 (2026)
Summary: Strong electronic correlations generally require non-perturbative treatment. Local correlations are captured by dynamical mean-field theory while nonlocal correlations can be treated with diagrammatic extensions such as the Dual Fermion approach. Dual Fermion is built on physically motivated, but in principle uncontrolled approximations, so careful benchmarking is needed to understand the strengths and limitations of the method. In this work, we benchmark ladder Dual Fermion and dynamical mean-f
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
176. Unified Mapping of Multi-Site Electrocatalytic Activity Using a Single Descriptor
Source: http://arxiv.org/abs/2605.02688v1 (2026)
Summary: We present a precise and general method to map the activity of electrocatalysts across multiple sites. Starting from a mean-field statistical mechanics model, we introduce an effective adsorption free energy descriptor that explicitly incorporates lateral adsorbate-adsorbate interactions, enabling the construction of coverage-consistent volcano relationships. Extending this approach, we show that adsorption energetics and interaction strength define a two-dimensional activity landscape that give
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
177. A Unified microscopic picture of cation and anion migration in MAPbI$_3$
Source: http://arxiv.org/abs/2605.02685v1 (2026)
Summary: Passivating defects and restricting defect mobilities in halide perovskites to increase device lifetimes has become a main field of research. Modeling structure and mobility of point defects is an essential contribution to this endeavor. We employ molecular dynamics, based on neural network potentials trained on density functional theory data, to model ion migration in MAPbI$_3$ triggered by I and MA vacancies or interstitials. Most of these species diffuse rapidly at room temperature, with migr
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
178. Exotic magnetism and persistent short-range spin correlations in a frustrated honeycomb lattice antiferromagnet
Source: http://arxiv.org/abs/2605.02683v1 (2026)
Summary: Two-dimensional high-spin bipartite honeycomb networks, where anisotropy, competing exchange interactions, and spin fluctuations interplay, provide an alternative platform to test theoretical models that distinguish between classical and quantum magnetism in the context of emergent many-body phenomena and exotic excitations. Here, we report the crystal structure, magnetization, specific heat, and inelastic neutron scattering measurements of the S = 5/2 distorted honeycomb magnet $\mathrm{CaZn_
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
179. Computational Methods towards Ultrastable Glasses
Source: http://arxiv.org/abs/2605.02679v1 (2026)
Summary: Ultrastable glasses, amorphous solids with exceptionally low-energy states and enhanced kinetic, thermodynamic and mechanical stability, have long been a subject of intense experimental interest. Over the past decade, their computational realization has emerged as a major goal in condensed matter physics, as numerical methods can exploit unphysical moves to access deeply supercooled and nonequilibrium glassy states far beyond the reach of conventional cooling protocols, thereby providing key ins
| Symbol | Mapping |
|---|---|
| Ω | conductivity / phase transition |
| Ψ | band structure / phonon |
| B | crystal lattice |
| C | doping / twist / strain |
| Δ | disorder / defects |
180. Vortex Transport in Ni/Bi Bilayer Superconductor with Strong Spin-Orbit and Exchange Interaction
Source: http://arxiv.org/abs/2605.02677v1 (2026)
Summary: Nickel/bismuth (Ni/Bi) bilayers are a promising platform for exploring unconventional superconductivity. Ferromagnetic Ni is coupled to Bi, a strong spin orbit metal that only becomes superconducting below approx 10 mK, forming a bilayer exhibits superconductivity at a much higher temperatures, a Tc of 3 to 4 K. Such a bilayer thus makes an ideal system to probe Cooper pairing in strong spin orbit coupled magnetic environments. Magneto transport studies near Tc reveal the behavior of vortex dyna
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
181. Equilibrium Adsorption of Hard Disks on Patterned Adhesive Surfaces: A Monte Carlo Simulation Study
Source: http://arxiv.org/abs/2605.02671v1 (2026)
Summary: Equilibrium adsorption of disk-like particles on patterned adhesive surfaces is studied using Monte Carlo simulations. The surface is represented as a two-dimensional plane with circular adhesive domains arranged either regularly or randomly, while the particles are modelled as hard disks. The interaction energy between a particle and the surface is defined by the contact area between the particle and the adhesive domains. It is shown that the adsorption behaviour is controlled not only by the t
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
182. Thermodynamic completeness in quantum and classical Markovian dynamics
Source: http://arxiv.org/abs/2605.02650v1 (2026)
Summary: We develop a path-space action formulation for quantum and classical Markovian thermodynamics that addresses a reconstruction problem: which thermodynamic observables can be inferred from state trajectories alone, and which require additional current or measurement record? The formulation treats the state trajectory and the thermodynamic record as distinct components of a Markovian path. In quantum systems, the record is specified by a quantum instrument; in the commutative classical representat
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
183. Probing the Valley-Selective Tunneling Density of States in Monolayer MoS2 based Resonant Tunneling Devices
Source: http://arxiv.org/abs/2605.02646v1 (2026)
Summary: The present work experimentally demonstrates the fabrication of CVD grown monolayer MoS2 ultra thin quantum well based double barrier resonant tunneling device (RTD) architecture well compatible with conventional CMOS fabrication technology. The strongly quantized electronic states from multiple valleys in the momentum space in such ultra 2D sheet along the c-axis sandwiched in between Al2O3 tunneling barriers exhibit multiple resonant tunneling peaks thereby enhancing the FWHM of the NDR region
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
184. Polymer Knots in Thin Films: Thickness Dependence, Local Effects, and Stiffness
Source: http://arxiv.org/abs/2605.02644v1 (2026)
Summary: We study how confinement affects topology and conformations in polymer films of varying thickness h. The knotting probability exhibits a maximum at intermediate thicknesses near the bulk radius of gyration h \approx R_\mathrm{g,bulk}, vanishes at small h and approaches bulk values for large h. Close to walls, the entanglement length increases monotonically and conformations become flatter. A layer-resolved analysis of structural and topological properties allows us to reconstruct the exp
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
185. Floquet-Multiple Andreev Reflections
Source: http://arxiv.org/abs/2605.02642v1 (2026)
Summary: Floquet theory describes quantum systems governed by time-periodic Hamiltonians, much as Bloch theory describes spatially periodic solids. In voltage-biased multiterminal Josephson junctions, the Josephson relation causes superconducting phase differences to evolve periodically in time, thereby providing an intrinsic Floquet drive. In this Letter, we consider three-terminal Josephson junctions formed on a ballistic two-dimensional normal conductor with a continuum of electronic states. We show t
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
186. Engineering THz-frequency light generation, detection and manipulation through graphene
Source: http://arxiv.org/abs/2605.02383v1 (2026)
Summary: Graphene has been one of the most investigated materials in the last decade. Its unique optoelectronic properties have indeed raised it to an ideal and revolutionary candidate for the development of entirely novel technologies across the whole electromagnetic spectrum, from the microwaves to the x-rays, even crossing domain of intense application relevance, as terahertz (THz) frequencies. Owing to its exceptionally high tensile strength, electrical conductivity, transparency, ultra-fast carrier
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
187. Polymorphic crystallites model for monolayer amorphous materials
Source: http://arxiv.org/abs/2605.01881v1 (2026)
Summary: Modeling the atomic structure of amorphous materials has long been a critical challenge in materials science. Recent advances in monolayer amorphous materials enable direct observation of their atomic structures, paving the way for a better understanding of their atomic-scale models. Here, we investigate amorphous multielement monolayers using machine learning potential from first-principles total energies via energy-driven kinetic Monte Carlo based active-learning framework. A polymorphic cryst
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
188. Dirac Semimetal Phase in Rhombohedral $β-$Cu$_{2}$Se
Source: http://arxiv.org/abs/2605.01142v1 (2026)
Summary: Having been extensively studied during last decades in the fields of thermoelectics and ionic conductors, the α phase of Cu${2}$Se with antfluoride crystal structure has recently emerged as a topological zero-gap semimetal with a quadratic contact point which exists at the Fermi surface of its bulk electronic spectrum. Here we argue based on density functional electronic structure calculation that the β phase of Cu${2}$Se realized in a recently discovered rhombohedral structure shows a Dir
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
189. Fast reduction of electron-beam-activated graphene oxide by an infrared laser pulse
Source: http://arxiv.org/abs/2605.01125v1 (2026)
Summary: Rapid and controllable reduction of graphene oxide (GO) remains a critical challenge for realizing its full technological potential. Here, we report efficient reduction of GO by a synergistic electron-beam-assisted single-pulse near-infrared (NIR) laser process. Time-resolved electron energy-loss spectroscopy measured with a dynamic transmission electron microscope (DTEM) is used to locally track the oxygen concentration evolution after NIR laser pulse irradiation. This finds an oxygen diffusivi
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
190. Topological flat bands emerging at the inversion of stacking order in rhombohedral graphite
Source: http://arxiv.org/abs/2605.01115v1 (2026)
Summary: Motivated by the indications of high-Tc superconductivity in natural graphite enriched in the rhombohedral phase, we study the band structure of several stacking configurations that combine two of the three graphite structures as well as modifications of the rhombohedral sequence (from ABCABC... to CBACBA...), using first-principles calculations. We focus in particular on the possible emergence of flat bands near the Fermi level. When the two different rhombohedral orderings are combined, flat b
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
191. Coordination Engineering of Dual-Atom Catalysts for Overall Water Splitting: Mechanistic Insights from Constant-Potential First-Principles and Machine Learning
Source: http://arxiv.org/abs/2605.00609v1 (2026)
Summary: The rational design of bifunctional electrocatalysts for the hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) is essential for achieving efficient and cost-effective overall water splitting. Atomically dispersed transition-metal catalysts, including single-atom catalysts and dual-atom catalysts (DACs), have emerged as a prominent class of heterogeneous catalysts, in which coordination engineering plays a decisive role in tuning catalytic performance. Herein, we explore coord
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
192. Polarization-controlled effective Rabi dynamics in driven Graphene: A Floquet-Magnus approach
Source: http://arxiv.org/abs/2605.00325v1 (2026)
Summary: Polarization ellipticity β and the relative angle Δ between electron momentum and driving field act as independent control parameters for coherent dynamics in periodically driven Dirac systems. In this work, we analyze the dynamics of resonantly driven Dirac electrons in graphene under elliptically polarized electromagnetic radiation using the Floquet-Magnus expansion. Working in the interaction picture and applying a rotating-wave-type transformation, we derive an effective two-level Hamilt
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
193. Unified approach to time-resolved x-ray and electron diffraction imaging
Source: http://arxiv.org/abs/2605.00286v1 (2026)
Summary: Time-resolved x-ray diffraction (TR-XRD) and ultrafast electron diffraction (TR-UED) are emerging tools for probing ultrafast quantum dynamics. From a theoretical perspective, they are commonly described within different frameworks and modeled using distinct approximations. Here, we present a unified quantum-field-based description of ultrafast diffraction imaging that permits consistent consideration of TR-XRD and TR-UED within a common theoretical formalism. Our approach elucidates the corresp
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
194. Observation of single antiferromagnetic magnon modes in the tunnelling transistors of spin-1/2 Kitaev system a-RuCl3
Source: http://arxiv.org/abs/2605.00202v1 (2026)
Summary: The small gap room temperature semiconductor a-RuCl3 which is known to undergo a Mott-Hubbard transition at low temperatures, is one of the most promising candidates for realisation of an exotic matter form, the quantum spin liquid state, which may have applications in quantum computing. Although being extensively investigated by neutron scattering techniques, electronic study of this system in form of van der Waals heterostructures has been limited to mainly graphene proximity. Here we report a
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
195. Cryogenic Graphene-Based Phase Modulators for Quantum Information Processing
Source: http://arxiv.org/abs/2605.00112v1 (2026)
Summary: Electro-optic modulators are key components for photonic quantum computing, particularly in fully cryovenic integrated platforms where low loss and compactness are critical. We present a systematic theoretical investigation of compact dual-layer graphene (DSLG) electro-optic phase modulators integrated on silicon nitride waveguides, with emphasis on cryogenic operation. By combining electromagnetic simulations with a physically consistent description of graphene conductivity based on the Kybo fo
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
196. Second harmonic generation and third harmonic generation in topological insulator-based van der Waals metamaterials
Source: http://arxiv.org/abs/2604.27864v1 (2026)
Summary: High-order harmonic generation (HHG) in solids - the frequency up-conversion of an optical signal - is governed by symmetries. At terahertz (THz) frequencies, HHG is a key technology to access high frequency spectral windows that are usually difficult to cover using conventional solid state laser technologies. This effect has been recently exploited in graphene where HHG has been demonstrated, albeit only at odd multiples of the driving frequency owing to its inherent centro-symmetry. In topolog
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
197. Chern number reversal and emergent superconductivity in rhombohedral graphene induced by in-plane magnetic fields
Source: http://arxiv.org/abs/2604.27788v1 (2026)
Summary: Rhombohedral graphene with topological flat bands offers an ideal platform for realizing correlated and topological quantum phases. Here we investigate hBN aligned eight-layer rhombohedral graphene moire superlattices, which host a robust quantum anomalous Hall (QAH) state alongside three unconventional superconducting phases. For electron-doped carriers away from the moire potential, we observe QAH Chern number reversal driven by the displacement fields and in plane magnetic fields. For hole-do
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
198. Topological phase transitions in twisted bilayer graphene/hBN from interlayer coupling and substrate potentials
Source: http://arxiv.org/abs/2604.27304v1 (2026)
Summary: Twisted bilayer graphene aligned with hexagonal boron nitride (TBG/hBN) hosts rich topological and correlated quantum phases, such as (fractional) Chern insulators, whose character is dictated by the topology of the moiré flat band. This topology is highly sensitive to several material parameters in the continuum model, yet a systematic understanding of their combined influence has been lacking. Here, we present a comprehensive study of topological phase transitions in TBG/hBN by varying the int
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
199. Non-Equilibrium Orbital Transport in Terahertz Optorbitronics
Source: http://arxiv.org/abs/2604.26717v1 (2026)
Summary: Modern information technologies rely on controlling the flow of electrons through their charge and spin. A rapidly emerging alternative is to use the orbital motion of electrons, the way they circulate around atomic sites as a new carrier of information. This orbital angular momentum (OAM) could enable more energy-efficient devices and reduce reliance on scarce heavy elements, but how orbital currents are generated and transported, especially on ultrafast timescales, remains largely unknown. In
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
200. Tunable high-Chern-number Chern insulators in rhombohedral tetralayer graphene/hBN moiré superlattices
Source: http://arxiv.org/abs/2604.26643v1 (2026)
Summary: Moiré superlattices based on rhombohedral multilayer graphene have emerged as a highly tunable platform for engineering correlated topological phases. Here, we systematically investigate the transport properties of the hole-doped side in rhombohedral tetralayer graphene/ hexagonal boron nitride (hBN) moiré superlattices across a range of twist angles and alignment orientations. Notably, we observed multiple high-Chern-number Chern insulators, including the previously reported integer Chern insul
| Symbol | Mapping |
|---|---|
| Ω | conductivity / phase transition |
| Ψ | band structure / phonon |
| B | crystal lattice |
| C | doping / twist / strain |
| Δ | disorder / defects |
201. Influence of a graphene substrate on the stabilization of molecular systems with hydrogen bonds
Source: http://arxiv.org/abs/2604.26510v1 (2026)
Summary: Numerical simulation of the dynamics of planar two- and three-layer molecular structures formed by $β$-sheets of polyglycine peptide chains and systems of parallel Kevlar (para-aramid) molecules placed on a graphene sheet has been performed. It is shown that in these structures the $β$-sheets retain their shape, due to the presence of parallel chains of hydrogen bonds, up to a temperature of $T=800$K. An even higher stability is exhibited by the system of parallel Kevlar molecules. Here, the par
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
202. Strain and Twist Engineering of Interfacial Thermal Transport in Homo- and Hetero-Interfaces of Graphene and Hexagonal Boron Nitride
Source: http://arxiv.org/abs/2604.26300v1 (2026)
Summary: A dramatic difference between the vertical thermal conductance response of homogeneous and heterogeneous graphene/h-BN interfaces to external mechanical perturbations, is predicted. Homogeneous graphene and h-BN interfaces exhibit strong conductance reduction for both in-plane strain and interfacial twist. Conversely, the vertical thermal conductance of the heterogeneous graphene/h-BN junction is insensitive to twist deformations but shows significant increase or decrease under compressive or te
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
203. Dispersion Splitting of Phonon Polaritons in van der Waals Heterostructure
Source: http://arxiv.org/abs/2604.26260v1 (2026)
Summary: The biaxial van der Waals crystal α-phase molybdenum trioxide (α-MoO3) supports hyperbolic phonon-polaritons with anomalous dispersion in the Type-I Reststrahlen band (RB-I). Despite the low loss and long lifetime of these polaritons, dispersion engineering in this regime has remained largely unexplored. In this work, we show that when two α-MoO3 slabs are placed in close proximity, their eigenmodes hybridize and the dispersion splits into two branches with different momenta and field symmetry,
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
204. Exact results for the Hubbard model on bipartite lattices in spatial dimensions d>1: Seven theorems from the full [SU(2)$\times$SU(2)$\times$U(1)]/\mathbb{Z}_2^2 symmetry
Source: http://arxiv.org/abs/2604.25712v1 (2026)
Summary: There are few exact results for the Hubbard model on bipartite lattices of spatial dimension d>1. Nevertheless, the Hubbard model with transfer integral t and onsite repulsion U on bipartite lattices with N_a sites, such as the square, honeycomb, cubic, body-centered cubic, face-centered cubic, and diamond lattices, provides the simplest toy model for describing electronic correlations in many condensed-matter systems and is therefore a quantum problem of considerable physical interest.
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
205. Electrical tunability of terahertz nonlinearity in graphene
Source: http://arxiv.org/abs/2604.24651v1 (2026)
Summary: Graphene is conceivably the most nonlinear optoelectronic material. Its nonlinear optical coefficients in the terahertz (THz) frequency range surpass those of other materials by many orders of magnitude. This, in particular, allows one to use graphene for extremely efficient up-conversion of sub-THz electronic input signals into the THz frequency range at room temperature and under ambient conditions, thus paving the way for practical graphene-based ultrahigh-frequency electronic technology. Her
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
206. RowHammer Vulnerability Counter (RVC): Redefining RowHammer Detection with Victim-Centric Tracking
Source: http://arxiv.org/abs/2604.24287v1 (2026)
Summary: The Rowhammer vulnerability poses an increasing challenge with newer generations of DRAM and aggressive technology scaling. Existing mitigation techniques, such as Graphene, Twice, and Hydra, primarily rely on tracking activation counts for each row and issuing refreshes when a row reaches a predefined tracking threshold. However, these methods have inherent limitations, including inefficiencies in identifying rows genuinely at risk of bit flips. In this paper, we propose a novel framework cal
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
207. Symmetry-Guided Design of Quantum Couplers in Dirac materials: AA-Bilayer Graphene Coupler
Source: http://arxiv.org/abs/2604.23759v1 (2026)
Summary: We develop a theoretical framework for designing quantum couplers based on Dirac materials that can modulate the polarization of transmitted quasiparticles without significantly perturbing their propagation. We analyze in detail the conditions required for perfect transmission (Klein tunneling) together with controlled polarization transformation of the incoming states. We then discuss an explicit model of a quantum coupler composed of AA-stacked bilayer graphene nanoribbons with armchair edges
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
208. Mesoscopic Josephson effect in graphene disk at magnetic field
Source: http://arxiv.org/abs/2604.23470v1 (2026)
Summary: Unlike for tunneling Josephson junctions, for which the current-phase relation is given by the sine function, with the critical current (I_c) and normal-state resistance (R_N) following the relation I_cR_N=(π/2)\,Δ_0/e (where Δ_0 is the superconducting gap and electron charge is -e), mesoscopic Josephson junctions show more complex current-phase relations, with the skewness S>0, what is related to the presence -- in case the leads are in the normal state -- of transmission probabilit
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
209. Role of ultrafast electron-optical-phonon interactions in high harmonic generation from graphene
Source: http://arxiv.org/abs/2604.23294v1 (2026)
Summary: High harmonic generation (HHG) is a widely explored process in solids, where intense lasers drive attosecond-to-femtosecond electron dynamics within bands, causing high-energy emission. While electrons and photons are considered the main players in HHG, solids also host ubiquitous phonons that are typically assumed negligible in HHG due to their longer timescales. We theoretically study HHG in graphene with a formalism including optical phonons in the static limit, where the lattice is frozen on
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
210. Analytical Treatment of Noise-Suppressed Klein Tunneling in Graphene with Possible Implications for Quantum-Dot Qubits
Source: http://arxiv.org/abs/2604.23279v2 (2026)
Summary: We study quantum tunneling through a potential barrier whose height fluctuates in time and is modeled by Gaussian white noise. We map the stochastic dynamics onto an equivalent time-independent Lindblad equation for the density matrix, allowing fully analytical solutions. For Schrödinger particles, noise introduces dissipation that suppresses Fabry-Pérot oscillations and yields an exponentially decaying transmission. Applying the same formalism to graphene, we demonstrate that noise induces a co
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
211. Interfacial charge-induced adsorption mode for electron pairing in high-temperature superconductors
Source: http://arxiv.org/abs/2605.02619v1 (2026)
Summary: The electron pairing mechanism by the interfacial charge-induced adsorption mode of high-temperature superconductors is revealed. For the YBCO superconductors, the coupling of electrons and valence-flexible state of oxygen ions forms a charge-regulated interfacial layer induced by the adsorption potential, and electrons are paired by sharing the optimized interfacial structure and exchanging the adsorption mode, generating strong attraction to form Cooper pairs. Then the effective interaction po
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
212. Revisiting the surface density of states of midgap Andreev edge states
Source: http://arxiv.org/abs/2605.02423v1 (2026)
Summary: We revisit the effect of surface roughness on midgap Andreev edge states (MAES) in p- and d- wave superconductors. For a perfectly specular surface, MAES form a flat band at the Fermi energy, which manifests as a sharp midgap peak in the surface density of states (SDOS). Previous theoretical studies have shown that MAES in p- and d-wave superconductors respond markedly differently to surface roughness. In the d-wave state, diffuse surface scattering significantly broadens the midgap peak in the
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
213. Two distinct superconducting regimes in Ti4Co2O under pressures
Source: http://arxiv.org/abs/2605.01893v1 (2026)
Summary: We report on the pressure dependence of superconducting transition temperature Tc and upper critical field Bc2(0) through electrical transport of the Ti4Co2O superconductor (eg.,the superconducting transition temperature Tc = 2.5 K and the Bc2(0)=7.2T=2.9Tc). We find that the Tc exhibits non-monotonic pressure dependence:it rises monotonically at first with a pressure coefficient of dTc/dP=0.034 K/GPa, but rapidly decreases around 10-20 GPa, and then increases with the dTc/dP = 0.023 K/GPa, up t
| Symbol | Mapping |
|---|---|
| Ω | confinement / energy |
| Ψ | guiding center / symmetry |
| B | coil geometry |
| C | plasma pressure |
| Δ | perturbation / ripple |
214. Impurity-Scattering Assisted Umklapp Scattering as the Origin of Low-Temperature Resistivity in the Normal-State of Cuprate Superconductors
Source: http://arxiv.org/abs/2605.01316v1 (2026)
Summary: The transport experiments reveal that the low-temperature resistivity in the normal-state of cuprate superconductors is quadratic in temperature (T-quadratic) in the underdoped pseudogap phase, while it is linear in temperature (T-linear) in the overdoped strange-metal phase, however, the full understanding of these different behaviours is still a challenging issue. Here starting from the microscopic electronic structure of cuprate superconductors, the low-temperature resistivity in the normal-s
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
215. Model-agnostic cooling algorithms for strongly interacting fermions
Source: http://arxiv.org/abs/2605.01029v1 (2026)
Summary: Strongly interacting fermions underpin some of the most challenging problems in condensed matter physics, such as high-temperature superconductivity. The low-energy states of these systems encode their essential microscopic properties, yet remain largely inaccessible to classical methods. Quantum simulation offers a promising path forward, and among state-preparation strategies, engineered dissipation has emerged as a particularly compelling approach. Existing cooling protocols, however, typical
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
216. Signatures of time-reversal-symmetry breaking in multiband 2H-TaS2 revealed by zero-field Josephson nonreciprocity
Source: http://arxiv.org/abs/2605.00477v1 (2026)
Summary: Superconductors that spontaneously break time-reversal symmetry host complex order parameters and are widely regarded as a hallmark of unconventional superconductivity. Whether such symmetry breaking can also arise in superconductors with nominally isotropic spin-singlet pairing remains an open question. Here we report a zero-field Josephson diode effect in noncentrosymmetric 2H-TaS2/2H-NbSe2 van der Waals junctions. The diode efficiency shows no systematic correlation with supercurrent amplitud
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
217. Demonstration of a fermion Quadrupling Condensate via Quantum Monte Carlo Simulation
Source: http://arxiv.org/abs/2605.00137v1 (2026)
Summary: Fermionic condensation typically occurs via pairing. In recent decades, however, a fundamental question has emerged: whether alternative forms of order exist, such as condensates of fermion quadruplets. These states--including charge-4e" superconductors and charge-0" counterflow condensates--lie beyond the standard Bardeen-Cooper-Schrieffer framework, and require strong fluctuations and correlation effects that invalidate the BCS mean-field description. This makes the problem notoriously dif
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
218. Magnetic Quantum Criticality inside the Superconducting State Revealed by Penetration Depth Scaling with Local T_{\mathrm c}
Source: http://arxiv.org/abs/2604.27507v1 (2026)
Summary: We demonstrate a magnetic quantum critical point embedded within the superconducting state of Zn-doped CeCoIn$_5$, revealed by a pronounced peak in the magnetic penetration depth at zero temperature λ(0). Using scanning SQUID microscopy, we determine the local superconducting transition temperature T_{\mathrm c} and λ(0). By parameterizing λ(0) in terms of the local T_{\mathrm c} rather than nominal Zn substitution, we circumvent the ambiguity caused by doping inhomogeneity and enable
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
219. Superconductivity-Enabled Conversion of Ferromagnetic Resonance into Standing Spin Waves
Source: http://arxiv.org/abs/2604.27076v1 (2026)
Summary: Superconductors can transport spin without Joule dissipation, yet their coherent coupling to short-wavelength magnons in insulating magnets remains largely unexplored. Here we demonstrate experimentally and theoretically that a conventional diffusive superconductor can enable the conversion of the uniform ferromagnetic-resonance (FMR) mode into perpendicular standing spin waves (PSSWs) in an adjacent ferrimagnetic insulator. In Bi-substituted iron-garnet/Nb bilayers, the microwave transmission d
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
220. Non-local Tunneling Spectroscopy of Inelastic Quasiparticle Relaxation in Superconducting 1-D Wires
Source: http://arxiv.org/abs/2604.26862v1 (2026)
Summary: Non-local conductance experiments using tunnel junctions can provide valuable spectroscopic information on both the transport and relaxation of quasiparticles in superconductors, as these techniques directly probe the quasiparticle charge and energy imbalance even at mK temperatures. In this work, we employ mesoscopic three terminal Cu and Al NIS devices to study non-local quasiparticle transport over length-scales on the order of the superconducting coherence length in this regime. Via a dual-b
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
221. Metalization of topological insulators
Source: http://arxiv.org/abs/2604.26698v1 (2026)
Summary: In modern condensed matter theory, phases of electronic matter--such as metals and insulators-are fundamentally distinguished by the presence or absence of charge-carrying quasiparticles or excitations near the Fermi surface at low temperatures. Here, we show that this criterion breaks down in Berry-curvature-dominated systems, where transport is governed by interband coherence across the entire Fermi sea. We develop a microscopic theory of quantum transport in bulk topological insulators with a
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
222. Programmable superconducting diode from nematic domain control in FeSe
Source: http://arxiv.org/abs/2604.26631v2 (2026)
Summary: The superconducting diode effect (SDE) allows polarity-dependent critical currents when time-reversal and current-inverting spatial symmetries are broken. Superconducting diodes show promise for applications, but inversion asymmetry is usually encoded in sample geometry or non-centrosymmetric crystals, rendering them static circuit elements. Here we demonstrate a programmable superconducting diode whose functionality is encoded in correlated electronic domains. We use the nematic superconductor
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
223. Exposing impostor Majorana zero modes through atomic-scale shot-noise
Source: http://arxiv.org/abs/2604.26002v1 (2026)
Summary: A robust zero-bias conductance peak in putative $p$-wave superconductors is often regarded as the primary signature of a Majorana zero mode. Yet similar features can also arise from trivial bound states. This ambiguity has limited the reliability of conventional spectroscopy as a diagnostic tool, raising a long-standing problem of how to detect such impostors. Here, we address this issue with an alternative approach, atomic-scale shot-noise spectroscopy, that goes beyond conductance measurements
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
224. Physical properties of transition metal hydride superconductors Mg2TmH6 (Tm = Rh, Pd, Ir, Pt) by first-principles calculations
Source: http://arxiv.org/abs/2604.25626v1 (2026)
Summary: In this work, a comprehensive first-principles investigation of the structural, hydrogen storage potential, electronic, elastic, mechanical, thermophysical, superconducting, and optical properties of Mg2TmH6 (Tm = Rh, Pd, Ir, Pt) hydrides is presented. Obtained results demonstrate that Mg2TmH6 hydrides combine favorable hydrogen storage, mechanical robustness, superconductivity, and multifunctional optical properties, making them promising candidates for energy storage, superconducting and advan
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
225. Critical Role of Hydrogen in Unconventional Superconductors: The Case of Hydrogenated FeSe Layers
Source: http://arxiv.org/abs/2604.25500v1 (2026)
Summary: Hydrogenation is known to tune superconductivity in a wide range of materials. While its microscopic role has been clarified in phonon-mediated superconductors such as hydrogenated MgB2, LaH10, and H3S, much less is known for hydrogenated cuprates and iron-based superconductors, where even the underlying structural motifs remain elusive. Using hydrogenated FeSe as a prototypical example, we reveal how hydrogen affects superconductivity in the presence of strong electronic correlations: correlati
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
226. High-field magneto-optical imaging of superconducting critical states beyond 10 T using a paramagnetic garnet sensor
Source: http://arxiv.org/abs/2604.25274v1 (2026)
Summary: Spatially resolved characterization of the critical current density Jc in superconductors under high magnetic fields is crucial for both fundamental understanding and practical applications. However, conventional techniques primarily provide bulk-averaged values, making it difficult to resolve local variations of Jc, especially in high magnetic fields. In this work, we develop a magneto-optical imaging (MOI) technique that enables visualization of superconducting critical states in steady magnet
| Symbol | Mapping |
|---|---|
| Ω | confinement / energy |
| Ψ | guiding center / symmetry |
| B | coil geometry |
| C | plasma pressure |
| Δ | perturbation / ripple |
227. Nonlocal Cooper pairs in finite topological superconductors and their relation to Majorana nonlocality
Source: http://arxiv.org/abs/2604.25169v1 (2026)
Summary: We identify two fundamental properties of the Gor'kov Green's function of finite one-dimensional topological superconductors. In the low-frequency (low-energy) regime, the normal and anomalous Green's functions, which describe single-particle and Cooper-pair correlations, respectively, become identical up to a phase factor. Moreover, they exhibit pronounced nonlocality: correlations between the two ends of the system grow exponentially with system length, whereas local correlations at either end
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
228. Symmetry-Protected Topological Phases in the Triangular Majorana-Hubbard Ladder
Source: http://arxiv.org/abs/2604.24887v1 (2026)
Summary: We map the phase diagram of the triangular-lattice Majorana-Hubbard model on a four-leg ladder using DMRG and variational uniform matrix product states, revealing a richer variety of phases than previously known. Analysis of entanglement-spectrum degeneracies and adiabatic connections identifies multiple symmetry-protected topological (SPT) phases. These phases could be realized in arrays of vortex-bound Majorana modes on the surface of a topological superconductor.
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
229. Nonintegral Flux Trapping in Frustrated Josephson Networks of Triplet Superconductors
Source: http://arxiv.org/abs/2604.24734v1 (2026)
Summary: In a Josephson junction network, anisotropic coupling between spin triplet pairing correlations can lead to frustrated d vector textures that support spontaneous Josephson currents and nonintegral flux trapping. Such networks can appear in superconducting polycrystals, as well as single-crystal superconductors. In analogy to classical spin systems, in which the presence of geometric frustration and anisotropic superexchange can lead to nontrivial spin textures, Josephson networks with anisotro
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
230. Gate-dependent offset charge shifts and anharmonicity in gatemon qubits in the weak tunneling regime
Source: http://arxiv.org/abs/2604.24716v2 (2026)
Summary: Gatemon qubits are based on a superconductor-quantum dot-superconductor (S-QD-S) junction which enables in situ electrostatic tuning via a gate electrode. For a single-channel QD this structure gives rise to two subgap Andreev bound states (ABSs), and generally leads to a richer quantum phase dynamics as compared to conventional transmons. In a recent work [Phys. Rev. B 111, 214503 (2025)] we derived the quantum phase dynamics from a many-body treatment which leads to an effective gate voltage-d
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
231. Agentic Fusion of Large Atomic and Language Models to Accelerate Superconductor Discovery
Source: http://arxiv.org/abs/2604.23758v3 (2026)
Summary: Artificial intelligence has accelerated materials discovery through high-throughput prediction and generation, yet the decision problem remains a formidable bottleneck. While current AI systems readily propose millions of candidates, navigating the decision regarding a viable experimental target requires resolving multi-dimensional judgments across atomic-scale numerical computation and high-level semantic reasoning. Here we present ElementsClaw, an agentic framework for materials discovery that
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
232. Campbell penetration depth in a single crystal of heavy fermion superconductor CeCoIn$_5$
Source: http://arxiv.org/abs/2604.23657v2 (2026)
Summary: The temperature and magnetic field dependent magnetic penetration depth, λ_m(T,H), was measured in a single crystal of a heavy fermion superconductor CeCoIn$5$ using a frequency-domain tunnel diode resonator. In addition to the London penetration depth, which yields the superfluid density, measurements in a finite DC magnetic field provide Campbell penetration depth, λ_C(T,H), which is directly linked to the true (unrelaxed) critical current density, J_c. The measured λ_C(H) in CeCoIn$
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
233. Laplacian Frequency Interaction Network for Rural Thematic Road Extraction
Source: http://arxiv.org/abs/2605.02866v1 (2026)
Summary: Rural thematic road network construction aims to extract topological road structures from movement trajectory images of agricultural machinery. However, this task faces challenges where downsampling methods commonly used in existing studies tend to blur the sparse high-frequency road structures, and the heavy noise from dense field operations often leads to fragmented or redundant topologies in the extracted networks. To address these challenges, we propose LFINet, a Laplacian Frequency Interact
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
234. A Closed-Form Persistence-Landmark Pipeline for Certified Point-Cloud and Graph Classification
Source: http://arxiv.org/abs/2605.02836v1 (2026)
Summary: We introduce PLACE (Persistence-Landmark Analytic Classification Engine), a closed-form pipeline for classifying point clouds and graphs through their persistent-homology signatures. Three quantitative guarantees -- a margin-based excess-risk rate, a closed-form descriptor-selection rule, and a per-prediction certificate -- are derived from training labels alone, with no learned weights or held-out calibration. The embedding sums Mitra-Virk single-point coordinate functions over a sparse landmar
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
235. Chromospheric dynamics and the O I 135.6~nm spectral line
Source: http://arxiv.org/abs/2605.02822v1 (2026)
Summary: The O I 135.6 nm spectral line is formed in the chromosphere at the same heights as the Mg II h&k line cores are formed. As the O I line is optically thin, it represents a possibility for measuring the non-thermal velocities in this region without the complications added by optically thick radiative transfer. Numerical models have hitherto strained to reproduce Mg II core line widths, challenging current understanding of chromospheric energetics and dynamics. We aim to construct numerical models
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
236. Fine-Grained Graph Generation through Latent Mixture Scheduling
Source: http://arxiv.org/abs/2605.02780v1 (2026)
Summary: Structure aware graph generation aims to generate graphs that satisfy given topological properties. It has applications in domains such as drug discovery, social network modeling, and knowledge graph construction. Unlike existing methods that only provide coarse control over graph properties, we introduce a novel conditional variational autoencoder for fine-grained structural control in graph generation. The approach refines the decoder's latent space by dynamically aligning graph- and property-
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
237. Automated experimental design for high-probability entanglement generation
Source: http://arxiv.org/abs/2605.02721v1 (2026)
Summary: Entangled photons are widely used in quantum technologies. Many photonic experiments generate them with probabilistic photon-pair sources that can be modeled as squeeze operators. In practice, these sources are usually treated in the low-gain (perturbative) regime, keeping only the leading single-pair term and neglecting higher-order multi-pair emission events. In pursuit of fidelity, the probability of successful entanglement generation can become extremely small, a tradeoff often ignored. Here
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
238. Valley-locked Optical Spin Skyrmions in Valley Photonic Crystal Waveguides
Source: http://arxiv.org/abs/2605.02676v1 (2026)
Summary: Optical skyrmions have attracted significant attention across diverse physical systems for their promising scenarios in ultra-precise metrology, optical information processing, and quantum technologies. However, the lack of effective method for their on-chip directional transport and manipulation impedes their applications in photonic integrated devices. Here, we demonstrate a photonic platform that utilizes topologically protected valley edge state to achieve robust on-chip directional transpor
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
239. CARD: Coarse-to-fine Autoregressive Modeling with Radix-based Decomposition for Transferable Free Energy Estimation
Source: http://arxiv.org/abs/2605.02657v1 (2026)
Summary: Estimating free energy differences quantifies thermodynamic preferences in molecular interactions, which is central to chemistry and drug discovery. Despite fruitful progress, existing methods still face key limitations: classical computational approaches remain prohibitively expensive due to their reliance on extensive molecular dynamics simulations, while deep learning-based methods are constrained by either less-expressive generative models or input dimensions tied to a specific system, resul
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
240. S-CAD: Selective Classical Advantage Distillation for Quantum Conference Key Agreement
Source: http://arxiv.org/abs/2605.02588v1 (2026)
Summary: Quantum conference key agreement (QCKA) protocols utilize GHZ states to establish shared group keys between multiple parties. While previous work has shown that standard Classical Advantage Distillation (CAD) protocols can sometimes benefit QCKA performance, it was unknown if past results were asymptotically tight. In this work, we design a new CAD protocol, "Selective Classical Advantage Distillation (S-CAD)", for QCKA, which generalizes prior QCKA+CAD work and allows the parties to selectively
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
241. A geometric correspondence for reparameterizations of geodesic flows
Source: http://arxiv.org/abs/2605.02585v1 (2026)
Summary: For any non-elementary, torsion-free hyperbolic group, we provide a correspondence between the left-invariant Gromov-hyperbolic metrics on the group that are quasi-isometric to a word metric, and continuous reparameterizations of the associated Mineyev's flow space. From this correspondence, we produce the first examples of continuous reparameterizations of geodesic flows on negatively curved manifolds with all periodic orbits having integer lengths. For surface and free groups, this also yields
| Symbol | Mapping |
|---|---|
| Ω | theorem / invariant |
| Ψ | proof / operator |
| B | axiom / basis |
| C | parameter / space |
| Δ | approximation / error |
242. On Spectral multiplier theorem for sub-Laplacians with drift on Métivier groups
Source: http://arxiv.org/abs/2605.02556v1 (2026)
Summary: In this paper, we prove a spectral multiplier theorem for sub-Laplacians with drift on Métivier groups. We improve the result of [Martini, Ottazzi and Vallarino, Rev. Mat. Iberoam, 2019] in case of Métivier groups, by reducing the required smoothness condition on the multiplier function from homogeneous dimension to the topological dimension of the underlying group.
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
243. MPCS: Neuroplastic Continual Learning via Multi-Component Plasticity and Topology-Aware EWC
Source: http://arxiv.org/abs/2605.02509v1 (2026)
Summary: Continual learning systems face a fundamental tension between plasticity -- acquiring new knowledge -- and stability -- retaining prior knowledge. We introduce MPCS (Multi-Plasticity Continual System), a neuroplastic architecture that integrates eleven complementary mechanisms: task-driven neurogenesis, Fourier-encoded inputs, EWC regularization, meta-replay, mixed consolidation, hybrid gating, synapse pruning/regeneration, Hebbian updates, task similarity routing, adaptive growth control, a
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
244. Data-Driven Optimal Distributed Controller Synthesis via Spatial Regret
Source: http://arxiv.org/abs/2605.02506v1 (2026)
Summary: In this paper, we present a novel method for synthesising an optimal distributed spatial regret controller using experimentally obtained frequency-response data. Spatial regret provides a measure of the performance gap between a structured distributed controller and an oracle with enhanced communication topology. We relax assumptions on the communication topology, allowing the oracle to adopt any enhanced structure. While this generalisation requires an iterative solution in place of a single co
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
245. Topological defects in out-of-equilibrium systems
Source: http://arxiv.org/abs/2605.02482v1 (2026)
Summary: In this PhD thesis, we study topological defects in two-dimensional non-equilibrium systems, focusing on active extensions of the XY model, including activity, mobility and non-reciprocity. In a noisy Kuramoto lattice with short-range coupling, intrinsic frequency heterogeneity destroys quasi-long-range order and fragments the system into finite domains. Defects unbind at all temperatures and exhibit superdiffusive random walks, advected by evolving domain boundaries. By contrast, when oscillato
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
246. Large time behavior of critical marked Hawkes processes with heavy tailed marks and related branching particle systems
Source: http://arxiv.org/abs/2605.02420v1 (2026)
Summary: We study large time behavior of critical marked Hawkes processes and related branching particle systems. In case of marked Hawkes processes we assume that the kernel function has multiplicative form and the marks corresponding to the events are nonnegative and are assigned independently from a common distribution. This distribution is in the normal domain of attraction of a $(1+β)$-stable law with 0<β<1. Moreover, we assume that the mean number of events triggered by a single event is equal to
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
247. Spatial-Temporal Learning-Based Distributed Routing for Dynamic LEO Satellite Networks
Source: http://arxiv.org/abs/2605.02413v1 (2026)
Summary: In this paper, we propose a spatial-temporal learning-based distributed routing framework for dynamic Low Earth Orbit (LEO) satellite networks, where graph attention networks (GAT) and long short-term memory (LSTM) are integrated within a deep Q-network (DQN)-based architecture to enable distributed and adaptive routing decisions based on local observations. The routing problem is formulated as a partially observable Markov decision process (POMDP) to address partial observability under dynamic
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
248. Differentially Private Synthetic Voltage Phasor Release for Distribution Grids
Source: http://arxiv.org/abs/2605.02390v1 (2026)
Summary: Training machine learning models, including Grid Foundation Models (GFMs), requires large volumes of realistic grid data, yet substantial privacy concerns discourage utilities and data providers from sharing load profiles and network parameters. We study the release of synthetic voltage phasor trajectories for distribution grids under differential privacy (DP). We first fit a DP generative model to historical customer loads, then propagate synthetic load trajectories through the AC power flow eq
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
249. A Scalable 256-Antenna Distributed MIMO Testbed with Real-Time Fully Digital Beamforming
Source: http://arxiv.org/abs/2605.02388v1 (2026)
Summary: Distributed massive MIMO (D-MIMO) is a promising technology for future generation wireless systems as it takes advantage of both an increased array aperture and a decentralized processing architecture and topology. In order to truly understand the possibilities and limitations of these approaches in real scenarios, practical realization of testbeds is an essential step in the technology advancement. This work presents the Lund University Large Intelligent Surface testbed -- LuLIS, that can opera
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
250. A Fresh Look on Network Synchronization
Source: http://arxiv.org/abs/2605.02386v1 (2026)
Summary: This paper gives a fresh look at network synchronization. Here we no longer analyze it from the view of mathematics, such as graph theory, while we probe into one from control theory. First, we analyze the synchronization region using the inner coupling matrix, giving up the routine method of studying the network structure. The motivation comes from the inner coupling matrix that is not subject to any restrictions like network structure, such as distance and communication strength among nodes. I
| Symbol | Mapping |
|---|---|
| Ω | theorem / invariant |
| Ψ | proof / operator |
| B | axiom / basis |
| C | parameter / space |
| Δ | approximation / error |
251. Graph-Augmented Topological Internalization with Dual-Stream Classifiers for Medical Report Generation
Source: http://arxiv.org/abs/2605.02376v1 (2026)
Summary: Automated medical report generation, MRG, holds substantial value for alleviating radiologist workload and enhancing diagnostic efficiency. However, mainstream approaches typically treat diverse chest abnormalities as isolated classification targets. This paradigm often overlooks inherent disease co-occurrences and struggles to translate medical topological structures into explicit data correlations, constraining the model's reasoning capacity on complex or subtle lesions. To address this, we pr
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
252. Neuromorphic Control for 3D Navigation in Minecraft Using Genetic Algorithms
Source: http://arxiv.org/abs/2605.02628v1 (2026)
Summary: The popular 2009 voxel based videogame, Minecraft, contains several distinct disciplines. One of which is "parkour," gameplay that focuses on traversing a world's environment with maximum efficiency. The Minecraft online community has turned the game's physics engine into dynamic puzzles, requiring players to masterfully manipulate motion mechanics through frame precise timing of keystrokes. Actions such as sprinting, sneaking, and mouse direction are all combined to clear specific difficult jum
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
253. Composition-Weighted Symbolic Regression for General-Purpose Property Prediction
Source: http://arxiv.org/abs/2605.02267v1 (2026)
Summary: We introduce a composition-weighted symbolic regression framework for interpretable prediction of materials properties directly from chemical composition. The method jointly learns analytical functional forms and task-dependent elemental weightings without predefined descriptors. By incorporating max/min operators, it naturally enforces constraints such as non-negative band gaps and bounded classification probabilities, unifying regression and classification tasks. Efficient search is achieved t
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
254. Genetic Programming for Self-Adaptive Auto-Scaling of Microservices
Source: http://arxiv.org/abs/2605.01533v1 (2026)
Summary: Microservice architecture is widely adopted in modern systems, where auto-scaling is critical for satisfying service-level objectives (SLOs). However, determining optimal scaling for microservices is difficult, and reactive resource allocation often leads to costly over- or under-provisioning. We propose AutoSLO, a learning-based, self-adaptive scaling framework that dynamically adjusts microservice replicas to meet SLOs while minimizing resource usage. AutoSLO uses a continuous monitoring-adapt
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
255. LLM-Foraging: Large Language Models for Decentralized Swarm Robot Foraging
Source: http://arxiv.org/abs/2605.01461v1 (2026)
Summary: Swarm foraging algorithms, such as the central-place foraging algorithm (CPFA), typically rely on offline parameter optimization using genetic algorithms (GA) or reinforcement learning, yielding policies tightly coupled to a specific combination of team size, arena size, and resource distribution. When deployment conditions change, performance degrades, and retraining is computationally expensive. We propose LLM-Foraging, a decentralized swarm controller that augments the CPFA state machine with
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
256. Data-Driven Modelling to predict forest fire spread in the Patagonian region in Argentina
Source: http://arxiv.org/abs/2605.00167v1 (2026)
Summary: Wildfires are among the most severe disturbances affecting forest ecosystems, with over 50,000 hectares burned in Patagonia, Argentina, during 2025 alone. This study implements a Reaction-Diffusion-Convection (RDC) model to simulate wildfire spread in the Steffen and Martin Lakes area, a region severely impacted by fires. By integrating high-resolution maps of slope, wind velocity, and vegetation, we conducted three computational experiments of increasing complexity to simulate fire propagation
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
257. Flying by Inference: Active Inference World Models for Adaptive UAV Swarms
Source: http://arxiv.org/abs/2604.27935v1 (2026)
Summary: This paper presents an expert-guided active-inference-inspired framework for adaptive UAV swarm trajectory planning. The proposed method converts multi-UAV trajectory design from a repeated combinatorial optimization problem into a hierarchical probabilistic inference problem. In the offline phase, a genetic-algorithm planner with repulsive-force collision avoidance (GA--RF) generates expert demonstrations, which are abstracted into Mission, Route, and Motion dictionaries. These dictionaries are
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
258. VibroML: an automated toolkit for high-throughput vibrational analysis and dynamic instability remediation of crystalline materials using machine-learned potentials
Source: http://arxiv.org/abs/2604.27685v1 (2026)
Summary: While machine-learned interatomic potentials (MLIPs) accelerate phonon dispersion calculations, merely identifying dynamical instabilities in computationally predicted materials is insufficient; automated pathways to resolve them are required. We introduce VibroML, an open-source Python toolkit driven by foundational MLIPs that shifts the paradigm from stability verification to automated structural remediation. VibroML employs an energy-guided genetic algorithm that vastly outperforms traditiona
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
259. Parsimonious computational inference protocol for Boolean networks: Application to osteogenesis
Source: http://arxiv.org/abs/2604.26700v1 (2026)
Summary: Boolean networks are powerful mathematical tools for modeling the qualitative dynamics of genetic regulation. Yet inferred models often generate spurious attractors that lack biological viability. In this paper, we propose a parsimonious computational framework to systematically refine Boolean network models by eliminating these non-biological asymptotic behaviors while strictly preserving known, biologically relevant attractors. Through an exhaustive exploration of local function substitutions,
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
260. Solve Crude Oil Scheduling Problems by Using Quantum-Classical Hybrid Algorithms
Source: http://arxiv.org/abs/2604.26459v1 (2026)
Summary: The optimization of front-end crude oil scheduling is a critical determinant of refinery profitability and operational stability. However, the coupling of discrete logistics events (e.g., vessel berthing) with continuous material flows (e.g., pipeline transfers) renders this problem an NP-hard Mixed-Integer Linear Programming (MILP) challenge, often intractable for classical solvers at industrial scales. This study proposes a novel hybrid quantum-classical framework to address these computationa
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
261. AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search
Source: http://arxiv.org/abs/2604.26337v1 (2026)
Summary: Conceptual aircraft design is traditionally an expert-mediated iterative process in which a human designer proposes a configuration, runs low-order physics, inspects the result, and re-proposes. We present AlphaJet, an end-to-end automated synthesis pipeline that closes this loop. From a textual mission specification (mass, range, cruise speed, hard size envelope, engine count, areal density) AlphaJet evolves a feasible 3D aircraft in real time, scored by a transparent multi-disciplinary fitness
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
262. Sources of Inequality at Birth: The Interplay Between Genes and Parental Socioeconomic Status
Source: http://arxiv.org/abs/2604.25522v1 (2026)
Summary: The start of a human's life can be characterized by two lotteries: that of your genes (nature) and the family you were born into (nurture). These set in motion a trajectory, from birth onward, in health and human capital. Leveraging three longitudinal social-science data sets, we systematically analyze the relationship between an individual's genotype, the socioeconomic status (SES) of the families they grew up in, and their realized traits in adulthood. We proxy an individual's genetic predispo
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
263. Quantum-Accelerated Gowers U_2 Norm for Bent Boolean Functions
Source: http://arxiv.org/abs/2604.25503v2 (2026)
Summary: Bent Boolean functions extremal objects that maximally resist affine approximation are notoriously hard to construct for large numbers of variables. We propose a hybrid quantum-classical genetic algorithm (GA) that uses a \emph{quantum circuit} to evaluate the Gowers U_2 norm as the evolutionary fitness function. Our central contribution is a complexity-theoretic separation: the quantum evaluation circuit requires only 3n qubits and \bigO(n^2) two-qubit gates per function query
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
264. EvoTSC: Evolving Feature Learning Models for Time Series Classification via Genetic Programming
Source: http://arxiv.org/abs/2604.25499v1 (2026)
Summary: Time series classification is an important analytical task across diverse domains. However, its practical application is often hindered by the scarcity of labeled data and the requirement for substantial computational resources. To address these challenges, this paper proposes EvoTSC, a novel genetic programming approach designed to automatically evolve lightweight feature learning models for time series classification. The core of EvoTSC is a carefully designed multi-layer program structure tha
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
265. Multi-action Tangled Program Graphs for Multi-task Reinforcement Learning with Continuous Control
Source: http://arxiv.org/abs/2604.25369v1 (2026)
Summary: Over the past few decades, machine learning has been widely used to learn complex tasks. Reinforcement Learning (RL), inspired by human behavior, is a great example, as it involves developing specific behaviours for specific tasks. To further challenge algorithms, Multi-Task RL (MTRL) environments have been introduced, requiring a single model to learn multiple behaviors. The Tangled Program Graph (TPG) algorithm is a Genetic Programming (GP) algorithm designed for discrete MTRL environments. Re
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
266. A magnetotelluric image of the Curnamona Province and the adjacent Delamerian Orogen margin: new insights into the crustal architecture
Source: http://arxiv.org/abs/2604.25113v1 (2026)
Summary: We have used new magnetotelluric data collected in the Curnamona Province and the adjacent part of the Delamerian Orogen margin to image electrical conductivity structures and to inform the understanding of the crustal architecture within the regional geological context. The preferred 3D resistivity model confirms, and resolves in greater detail, crustal-scale conductive features that have been mapped by the long-period data collected at half-degree spacing as part of the Australian Lithospheric
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
267. Network-aware IV Regression for Causal Node Discovery and Estimation
Source: http://arxiv.org/abs/2604.24969v1 (2026)
Summary: Estimating causal effects from high-dimensional, structured exposures is a fundamental challenge in modern applications ranging from neuroscience and finance to environmental science. While the literature has addressed high-dimensional instrumental variable (IV) regression, and separately leveraged graph structure in penalized regression, the integration of both, especially for causal support recovery in the presence of latent confounding, remains unexplored. In this work, we propose a novel two
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
268. The Effects of Population Size on the Performance of BEAGLE GPU-Based Genetic Programming Runs
Source: http://arxiv.org/abs/2604.24968v1 (2026)
Summary: The Beagle framework, through GPU-based Genetic Programming, enables population dynamics previously unattainable (within practical time frames) by CPU-constrained Genetic Programming systems. This work explores how GPU-enabled population sizes impact the success of training for symbolic regression problems. Specifically, when using constant population sizes, we see benefits of using very narrow and deep searches (as narrow as 1000 individuals) for some problems, while other problems benefit from
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
269. Aycromo: An Open-Source Platform for Automatic Chromosome Detection in Metaphase Images Based on Deep Learning
Source: http://arxiv.org/abs/2604.24685v1 (2026)
Summary: Chromosome analysis is a fundamental step in the diagnosis of genetic diseases, but the manual karyotyping workflow is time-consuming and heavily dependent on expert specialists, often requiring several days per patient. Although Deep Learning models have achieved high performance in chromosome detection, most proposed solutions remain restricted to research prototypes or lack graphical interfaces suitable for clinical use. In this work, we present Aycromo, an open-source desktop platform for AI
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
270. The Genetic and Environmental Architecture of the Human Functional Connectome
Source: http://arxiv.org/abs/2604.24614v1 (2026)
Summary: Functional connectivity varies across individuals due to genetic and environmental factors, yet classical twin models typically confound non-shared environment with measurement error and are largely limited to resting-state analyses. We hypothesized that: i) explicitly modeling measurement error from repeated fMRI sessions enables more accurate application of classical twin models (ACE/ADE) to functional connectivity; ii) model applicability depends on scan-length and parcellation granularity; i
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
271. Effects of Genetic Propensity for Education on Labor Market and Health Trajectories across the Working Life
Source: http://arxiv.org/abs/2604.24336v1 (2026)
Summary: Education is a major source of inequality in income and health. Polygenic indices for educational attainment (EA-PGI) capture both direct and indirect genetic influences on education, but their effects on income and health remain unclear. Using Finnish registry data on 51,056 graduates followed annually since graduation for up to 25 years, we report three findings. First, higher EA-PGI strongly predicts income growth, but only among higher educated people: tertiary-educated graduates at the 90th
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
272. TSAssistant: A Human-in-the-Loop Agentic Framework for Automated Target Safety Assessment
Source: http://arxiv.org/abs/2604.23938v1 (2026)
Summary: Target Safety Assessment (TSA) requires systematic integration of heterogeneous evidence, including genetic, transcriptomic, target homology, pharmacological, and clinical data, to evaluate potential safety liabilities of therapeutic targets. This process is inherently iterative and expert-driven, posing challenges in scalability and reproducibility. We present TSAssistant, a multi-agent framework designed to support TSA report drafting through a modular, section-based, and human-in-the-loop par
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
273. Impact of Age Specialized Models for Hypoglycemia Classification
Source: http://arxiv.org/abs/2604.23732v1 (2026)
Summary: Disease progression varies with age and is influenced by underlying genetic, biochemical, and hormonal etiologies, suggesting the need for tailored monitoring, care, and medication beyond standard clinical guidelines. Specifically, in autoimmune diseases like type 1 diabetes (T1D), where patients depend on exogenous insulin to compensate for insulin deficiency, medication dosing and the physiological response reflected in vital signs can differ. Insulin therapy can lead to hypoglycemia, a danger
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
274. Decentralized Heterogeneous Multi-Robot Collaborative Exploration for Indoor and Outdoor 3D Environments
Source: http://arxiv.org/abs/2604.23693v1 (2026)
Summary: Heterogeneous multi-robot systems feature significant adaptability for complex environments. However, effective collaboration that fully exploits the robots' potential remains a core challenge. This paper proposes a decentralized collaborative framework for heterogeneous multi-robot systems to autonomously explore indoor and outdoor 3D environments. First, a basic perception map that integrates terrain and observation metrics is designed. Improved supervoxel segmentation is developed to simplify
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
275. The Blockchain Execution Dilemma: Optimizing Revenue XOR Fair Ordering
Source: http://arxiv.org/abs/2604.23266v1 (2026)
Summary: The successive generations of consensus algorithms have progressively shifted the performance bottleneck of blockchains to the execution layer. While recent works address this by parallelizing transaction execution, they often overlook the critical role of transaction sequencing. Historically, transaction ordering was left to validator discretion, a practice prone to Maximal Extractable Value (MEV) attacks, or rigid fair-ordering protocols that limit validator revenue. In this work, we address t
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
276. Using Importance Sampling to Estimate $p$-values in All-Subset Meta-Analysis, with Applications to Single-Cell eQTL Mapping
Source: http://arxiv.org/abs/2604.23085v1 (2026)
Summary: Pooling genome-wide association studies of multiple related traits can substantially increase power for detecting genetic variants with pleiotropic effects. ASSET, which exhaustively searches all subsets of studies for association signals, has been widely used to detect modest effects and improve interpretability. Under a normality assumption, ASSET computes p-values via an analytic approximation that accounts for multiple testing. However, this approximation has been evaluated only in limited s
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
277. A study of the kinematic and volumetric co-evolution of Earth-directed CMEs
Source: http://arxiv.org/abs/2605.02828v1 (2026)
Summary: While flare-associated CMEs generally show a strong association between flare X-ray flux and CME kinematics, their volumetric evolution and its link to both kinematics and flare activity remains less explored. In this study, we investigate the volumetric and kinematic co-evolution of ten Earth-directed, flare-associated CMEs using multi-viewpoint observations from STEREO-A, STEREO-B, and SOHO. We perform 3D reconstructions of the CME flux ropes with the Graduated Cylindrical Shell (GCS) model an
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
278. Statistical Inference of Day-to-Day Traffic Dynamics
Source: http://arxiv.org/abs/2605.02806v1 (2026)
Summary: Day-to-day traffic dynamics are widely used to model flow evolution due to travelers' learning and adjustment behavior, yet empirical analysis of these models often relies on descriptive calibration with limited inferential content. This paper develops a statistical inference framework for day-to-day route choice dynamics based on a stochastic individual-level adjustment model. The framework enables uncertainty quantification and formal inference for behavioral parameters from trajectory data. W
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
279. Characterizing the bolometric-photoevaporative transition in young sub-Neptunes with radiation-hydrodynamic simulations
Source: http://arxiv.org/abs/2605.02766v1 (2026)
Summary: Hydrodynamic atmospheric escape plays a central role in shaping the demographics of small, close-in exoplanets. Two mechanisms have been proposed to drive mass loss: photoevaporation, powered by UV irradiation, and core-powered mass loss, in which a bolometrically heated wind is sustained by cooling from the planetary interior. Although each mechanism can independently reproduce observed exoplanet demographics, both likely operate simultaneously. To quantify their combined impact, we use AIOLOS,
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
280. Misspecified beliefs and the evolution of peer pressure
Source: http://arxiv.org/abs/2605.02756v1 (2026)
Summary: We study the emergence of conformity preferences in an environment in which agents choose effort under heterogeneous, possibly misspecified returns, and social interactions do not directly affect material payoffs. Some agents choose effort by trading off performance and conformity to expected peer behavior. We characterize subjective best responses. For any given beliefs, an optimal and unique level of peer pressure exists and is evolutionarily stable within groups of agents sharing the same mis
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
281. A Virgo Environmental Survey Tracing Ionised Gas Emission (VESTIGE). XXI. Statistical properties of individual HII regions in perturbed galaxies
Source: http://arxiv.org/abs/2605.02648v1 (2026)
Summary: We use narrow-band Halpha+[NII] imaging data gathered during VESTIGE, a blind survey of the Virgo cluster carried out with MegaCam at the CFHT, to identify HII regions in 385 galaxies showing ionised gas emission. We identify 76645 HII regions in 322 star-forming galaxies and study their physical properties for those above the completeness limit (L(Ha)>=10^37 erg s-1). The present work is focused on perturbed cluster galaxies, identified as those having a reduced amount of HI when compared to si
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
282. Influence of Refractive Index Distribution on Multimode Soliton Dynamics and Condensation in GRIN-MMFs
Source: http://arxiv.org/abs/2605.02511v1 (2026)
Summary: Optical solitons propagating through a multimode fiber represents one of the most fascinating class of objects exhibiting peculiar properties, with widespread potential for applications. We theoretically investigate the effect of the core refractive index distribution, characterized by the index exponent α, on the evolution of multimode (MM) soliton beams and their peculiar properties in graded-index multimode fibers. Our analysis reveals an optimal range α = 2.04-2.08, within which MM solit
| Symbol | Mapping |
|---|---|
| Ω | observed phenomenon / measured quantity |
| Ψ | theoretical mechanism / operator |
| B | conserved basis / fundamental component |
| C | dynamic context / variable parameter |
| Δ | residual error / noise / uncertainty |
283. Genealogical structures under interactive neutral reproduction: factorial moment duality via a Frankenstein process
Source: http://arxiv.org/abs/2605.02499v1 (2026)
Summary: We establish a genealogical framework for an existing analytical moment duality between a Wright--Fisher type SDE and a counting process with interaction. To achieve this, we construct a finite-population Moran model featuring interactive neutral reproduction as a novel mechanism. In the corresponding events, an individual, regardless of its own type, can only reproduce if a randomly encountered partner is of the ``fit'' type. This Moran model has a relatively simple counting process as its fact
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
284. ATLAS: Article Tracking, Linking, and Analysis of Swedish Encyclopedias
Source: http://arxiv.org/abs/2605.02466v1 (2026)
Summary: The digitization of old encyclopedias represents an important step to improve access to historically structured knowledge. Often, however, this process does not go beyond an optical character recognition, leaving all the underlying structure unexploited. In addition, many encyclopedias had multiple editions reflecting the evolution of knowledge. The lack of structure in the raw text makes it difficult to track changes across these editions. In this work, we built a pipeline to restore the text s
| Symbol | Mapping |
|---|---|
| Ω | observed phenomenon / measured quantity |
| Ψ | theoretical mechanism / operator |
| B | conserved basis / fundamental component |
| C | dynamic context / variable parameter |
| Δ | residual error / noise / uncertainty |
285. Constraint Preserving XY-Mixers under Trotterized Adiabatic Evolution
Source: http://arxiv.org/abs/2605.02465v1 (2026)
Summary: Constraint handling is a central challenge for quantum algorithms applied to combinatorial optimization. Standard penalty-based approaches increase problem size, distort energy landscapes, and often degrade performance. Constraint-preserving mixers, such as XY-mixers, restrict quantum evolution to feasible subspaces, but their implementation on gate-based hardware requires Trotterization, which introduces approximation errors. In this work, we systematically investigate the interplay between con
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
286. Development and performance of npd for the evaluation of models with ordinal data
Source: http://arxiv.org/abs/2605.02403v1 (2026)
Summary: Introduction: Normalised prediction distribution errors (npde) are used to graphically and statistically evaluate continuous responses in non-linear mixed effect models. Here, our aim was to extend npde for categorical data and to evaluate their performance. We applied our approach to a real case-study describing the evolution of severe onychomycosis (toenail infection) in a trial comparing two treatment groups. Methods: Let V denote a dataset with categorical observations. The null hypothesis
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
287. A Low-Code Approach for the Automatic Personalization of Conversational Agents
Source: http://arxiv.org/abs/2605.02384v1 (2026)
Summary: In this paper, we conducted an SLR on the state of user modeling in the MDE domain. Results show a diverse set of disconnected proposals, covering a partial number of dimensions with an emphasis on those characteristics that are easier to profile. Moreover, most dimensions are regarded as fixed instead of allowing their dynamic evolution during the interaction with the software application. It is also worth noting that tool support is also rather limited, mostly limited to enabling the creation
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
288. Fight Poison with Poison: Enhancing Robustness in Few-shot Machine-Generated Text Detection with Adversarial Training
Source: http://arxiv.org/abs/2605.02374v1 (2026)
Summary: Machine-generated text (MGT) detection is critical for regulating online information ecosystems, yet existing detectors often underperform in few-shot settings and remain vulnerable to adversarial, humanizing attacks. To build accurate and robust detectors under limited supervision, we adopt a threat-modeling perspective and study detector vulnerabilities from an attacker's viewpoint under an output-only black-box setting. Motivated by this perspective, we propose RAG-GuidEd Attacker Strengthens
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
289. Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation
Source: http://arxiv.org/abs/2605.02369v1 (2026)
Summary: Cross-domain sequential recommendation (CDSR) alleviates interaction sparsity by jointly modeling user behaviors across multiple domains. While current studies have made some progresses, they still neglect two issues that severely impact recommendation performance: (i) ignoring domain-specific interaction frequencies and interest decay rates at identical time intervals; (ii) treating semantic preferences as time-invariant during cross-domain transfer. To address these, we propose a novel framewo
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
290. Evaluation of the npde performance for the evaluation of joint model with longitudinal and TTE data: an application in metastatic hormono-resistant prostate cancer
Source: http://arxiv.org/abs/2605.02338v1 (2026)
Summary: Introduction: Joint models are increasingly used in clinical trials. An important part of model building is to properly assess the descriptive and predictive ability of these models. Normalised prediction discrepancies (npd) and normalised prediction distribution errors (npde) have been developed to evaluate graphically and statistically non-linear mixed effect models for continuous responses. In this work, we propose to use a combined test to evaluate joint models. Methods: Prediction discrep
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
291. Description and error analysis of quantum alghorithms in the projection evolution model -- the Deutsch algorithm case
Source: http://arxiv.org/abs/2605.02293v1 (2026)
Summary: This work demonstrates that the Deutsch algorithm can be effectively modelled using a two-level harmonic oscillator within the second quantization formalism. By adopting this framework, evolution operators are derived. We present a projection evolution model that accurately characterizes the physical state transformation within quantum gates. This approach provides a systematic method for finding evolution operators, enabling the complete description and prediction of state evolution - including
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
292. On weak solutions for the stationary Cahn-Hillard-Navier-Stokes equations with singular potential
Source: http://arxiv.org/abs/2605.02282v1 (2026)
Summary: The stationary Navier--Stokes--Cahn--Hilliard equations are considered, governing the motion of a compressible, two-phase fluid mixture with a diffuse interface. The free energy density in this paper has a singular logarithmic (Flory-uggins) form, ensuring that the mass fraction remains in the physical range and allowing for vacuum states. We prove the existence of weak solutions in a three-dimensional bounded domain under structural assumptions on the adiabatic exponent. The stationary setting
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
293. Low-luminosity Wolf-Rayet stars: a model-data comparison
Source: http://arxiv.org/abs/2605.02238v1 (2026)
Summary: A growing number of Galactic Wolf-Rayet (WR) stars, in particular WC and transitional WN/C (WNC) objects, have been reported at comparatively low luminosities. If confirmed, these low-luminosity WR stars provide stringent tests of stellar-evolution models, because their HR-diagram locations and surface compositions are highly sensitive to internal mixing and to the adopted WR-phase mass-loss history.We examine whether the HR-diagram positions and wind properties of low-luminosity WC/WNC stars ca
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
294. Operational interpretation of the reverse sandwiched Renyi divergences in composite quantum hypothesis testing
Source: http://arxiv.org/abs/2605.02203v1 (2026)
Summary: We study the Hoeffding regime of composite quantum hypothesis testing, in which each hypothesis is specified by a sequence of sets of quantum states. We establish quantum Hoeffding bounds under a set of structural assumptions, orthogonal to those of our previous framework. A notable consequence is the direct operational interpretation of the reverse sandwiched Renyi divergence for α\in (0,1): for the task of discriminating a thermal equilibrium state from a probe state subject to unknown depha
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
295. Hierarchical Cooperative MARL for Joint Downlink PRB and Power Allocation in a 5G System
Source: http://arxiv.org/abs/2605.02149v1 (2026)
Summary: Efficient downlink radio resource management in 5G requires jointly optimizing user scheduling and transmit-power allocation under time-varying wireless conditions. This is challenging in OFDMA systems because PRB assignment is combinatorial, power allocation is continuous, and performance depends on channel evolution, link adaptation, and long-term fairness. We propose a hierarchical cooperative multi-agent reinforcement learning framework with staged curriculum training for joint downlink PRB
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
296. Fragmentation in the Serpens/Aquila Star-forming Region
Source: http://arxiv.org/abs/2605.02138v1 (2026)
Summary: We present a population study of Atacama Large Millimeter/submillimeter Array (ALMA) Cycle 6 observations of the 100 most gravitationally unstable dense cores in Aquila using a simple mass versus size analysis. We identify 66 continuum sources from ALMA 12m observations at 106GHz and through comparisons with known protostellar catalogs; two of these detected dense cores appear to be completely starless, without any accompanying/nearby protostar detections. Additionally, we find nine other starle
| Symbol | Mapping |
|---|---|
| Ω | observed phenomenon / measured quantity |
| Ψ | theoretical mechanism / operator |
| B | conserved basis / fundamental component |
| C | dynamic context / variable parameter |
| Δ | residual error / noise / uncertainty |
297. Constraints for Nuclear Astrophysics from an Unusual Presolar Silicate-Oxide Aggregate Grain Found in Primitive Ordinary Chondrite Meteorite Hills 00526
Source: http://arxiv.org/abs/2605.02055v1 (2026)
Summary: We report O, Mg-Al, Si, Ca, and Ti isotopic data for an unusual presolar oxide/silicate aggregate grain, M526-69, previously reported in the primitive ordinary chondrite Meteorite Hills 00526. The $\approx 1μ$m aggregate consists of a Mg- and Ca-rich silicate, a Al-rich oxide, and a tiny TiO$_2$ grain. A large $^{18}$O depletion and high inferred $^{26}$Al/$^{27}$Al classifies M526-69 as a Group 2 grain. Both low-mass (LM) and intermediate-mass (IM) asymptotic giant branch (AGB) stars are consid
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
298. MANOJAVAM: A Scalable, Unified FPGA Accelerator for Matrix Multiplication and Singular Value Decomposition in Principal Component Analysis
Source: http://arxiv.org/abs/2605.01514v1 (2026)
Summary: Principal Component Analysis (PCA) is widely used for dimensionality reduction in hyperspectral imaging, genomics, and neurosciences. However, it suffers from computational bottlenecks in matrix multiplication and singular value decomposition (SVD). Prior PCA hardware accelerators either target only one of these stages, rely on High Level Synthesis (HLS) that limits microarchitectural optimizations or use fixed point datapaths with limited dataset scalability. There is a need for a unified PCA a
| Symbol | Mapping |
|---|---|
| Ω | observed phenomenon / measured quantity |
| Ψ | theoretical mechanism / operator |
| B | conserved basis / fundamental component |
| C | dynamic context / variable parameter |
| Δ | residual error / noise / uncertainty |
299. Single Change-Point Detection via Energy Distance with Application to Genomic Data
Source: http://arxiv.org/abs/2605.01062v1 (2026)
Summary: In this paper, we develop and analyze a nonparametric procedure for detecting a single change point in sequences of independent observations using energy distance. The asymptotic properties of the test statistic are derived under both null and alternative hypotheses. Under the null hypothesis, for any fixed candidate split point, the standardized statistic \mathcal{Z}_{n,k} converges to a standard normal limit. For global detection, we use the scan statistic $T_n=\max_{k\in K_η}|\mathcal{Z}_{n
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
300. CellxPert: Inference-Time MCMC Steering of a Multi-Omics Single-Cell Foundation Model for In-Silico Perturbation
Source: http://arxiv.org/abs/2605.00930v1 (2026)
Summary: In this work, we introduce CellxPert, a scalable multimodal foundation model that unifies single-cell and spatial multi-omics within a common representation space. CellxPert jointly encodes transcriptomic (scRNA-seq), chromatin-accessibility (ATAC-seq), and surface-proteomic (CITE-seq) measurements, while directly incorporating MERFISH and imaging mass-cytometry data as 2D or 3D spatial-visual layers. CellxPert facilitates four key downstream tasks out of the box: (i) cell-type annotation across
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
301. Towards High Performance Quantum Computing (HPQ): Parallelisation of the Hamiltonian Auto Decomposition Optimisation Framework (HADOF)
Source: http://arxiv.org/abs/2604.27836v1 (2026)
Summary: Practical applicability of quantum optimisation on near term devices is constrained by limited qubit counts and hardware noise, which restricts the scalability of quantum optimisation algorithms for combinatorial problems. The simulation of large quantum circuits is also difficult and constrained by memory requirement. The Hamiltonian Auto Decomposition Optimisation Framework (HADOF) addresses this by decomposing large QUBOs into smaller subproblems that can be solved iteratively on quantum or c
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
302. Secure Cross-Silo Synthetic Genomic Data Generation
Source: http://arxiv.org/abs/2604.27456v1 (2026)
Summary: Access to genomic data is highly regulated due to its sensitive nature. While safeguards are essential, cumbersome data access processes pose a significant barrier to the development of AI methods for genomics. Synthetic data generation can mitigate this tension by enabling broader data sharing without exposing sensitive information. Synthetic genomic data are produced by training generative models on real data and subsequently sampling artificial data that preserves relevant statistics while li
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
303. OptimusKG: Unifying biomedical knowledge in a modern multimodal graph
Source: http://arxiv.org/abs/2604.27269v1 (2026)
Summary: Biomedical knowledge graphs (KGs) are widely used in the life sciences, yet many are derived from unstructured documents and therefore lack schema-level constrains, whereas graphs assembled from structured resources are difficult to harmonize into a unified representation. We present OptimusKG, a multimodal biomedical labeled property graph (LPG) built from structured and semi-structured resources to preserve factual, type-specific metadata across molecular, anatomical, clinical, and environment
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
304. Simple Self-Conditioning Adaptation for Masked Diffusion Models
Source: http://arxiv.org/abs/2604.26985v1 (2026)
Summary: Masked diffusion models (MDMs) generate discrete sequences by iterative denoising under an absorbing masking process. In standard masked diffusion, if a token remains masked after a reverse update, the model discards its clean-state prediction for that position. Thus, still-masked positions must be repeatedly inferred from the mask token alone. This design choice limits cross-step refinement. To address this limitation, this paper proposes a simple, yet effective, post-training adaptation for MD
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
305. Validation of Whole-Slide Foundation Models for Image Retrieval in TCGA Data
Source: http://arxiv.org/abs/2605.00902v1 (2026)
Summary: Foundation models are reshaping computational histopathology, yet their value for whole-slide image retrieval relative to strong patch-based and supervised aggregation baselines remains unclear. We benchmarked ten pipelines on 9,387 diagnostic slides spanning 17 organs and 60 diagnoses from The Cancer Genome Atlas (TCGA) using patient-level leave-one-patient-out evaluation. Methods included four pre-trained slide foundation models, a supervised attention-based multiple instance learning (ABMIL)
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
306. Mining Negative Sequential Patterns to Improve Viral Genomic Feature Representation and Classification
Source: http://arxiv.org/abs/2604.25968v1 (2026)
Summary: Viruses represent the most abundant biological entities on Earth and play a pivotal role in microbial ecosystems, yet, as prominent human pathogens, they are closely linked to human morbidity and mortality. Accurate identification of viral sequences from viral genome sequences is therefore essential, but existing genome-based classification models that largely relying on composition- or frequency-based subsequence features often suffer from limited interpretability and reduced accuracy, particul
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
307. A Combinatorial Optimisation Approach to Multi-factorial Gap-filling in Genome-scale Metabolic Models (GEMs)
Source: http://arxiv.org/abs/2604.25233v1 (2026)
Summary: Genome-Scale Metabolic Models (GEMs) describe the interactions between genes, proteins, and the biochemical reactions that underpin an organism's metabolism aiming to computationally simulate functions at the cellular level. While many metabolic reactions can be inferred from genome analysis, constructing GEMs often involves incorporating reactions unsupported by genomic data to improve prediction accuracy. This is known as gap-filling, a process that can be performed manually (a time-consuming
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
308. MIMIC: A Generative Multimodal Foundation Model for Biomolecules
Source: http://arxiv.org/abs/2604.24506v1 (2026)
Summary: Biological function emerges from coupled constraints across sequence, structure, regulation, evolution, and cellular context, yet most foundation models in biology are trained within one modality or for a fixed forward task. We present MIMIC, a generative multimodal foundation model trained on our newly curated and aligned dataset, LORE, linking nucleic acid, protein, evolutionary, structural, regulatory, and semantic/contextual modalities within partially observed biomolecular states. MIMIC use
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
309. A representation-theoretic interpretation of the Schur expansion of two-row genomic Schur functions
Source: http://arxiv.org/abs/2604.24454v1 (2026)
Summary: Genomic Schur functions were introduced by Pechenik and Yong in connection with the $K$-theory of Grassmannians. Pechenik proved that genomic Schur functions admit a positive expansion in the basis of fundamental quasisymmetric functions and, for partitions with two parts, a positive expansion in the Schur basis. Later, Kim and Yoo constructed $0$-Hecke modules associated with genomic Schur functions and conjectured that the latter expansion admits a representation-theoretic interpretation in te
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
310. PathMoG: A Pathway-Centric Modular Graph Neural Network for Multi-Omics Survival Prediction
Source: http://arxiv.org/abs/2604.24371v1 (2026)
Summary: Cancer survival prediction from multi-omics data remains challenging because prognostic signals are high-dimensional, heterogeneous, and distributed across interacting genes and pathways. We propose PathMoG, a pathway-centric modular graph neural network for multi-omics survival prediction. PathMoG reorganizes genome-scale inputs into 354 KEGG-informed pathway modules, introduces a Hierarchical Omics Modulation module to condition gene-expression representations on mutation, copy number variatio
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
311. Dynamic Grammar-Compressed Self-Index in $δ$-Optimal Space
Source: http://arxiv.org/abs/2604.24080v2 (2026)
Summary: A compressed self-index stores a string in compressed form while supporting locate queries without decompression. For highly repetitive strings (arising in web crawls, versioned documents, and genomic collections), static self-indexes can match the $δ$-optimal lower bound of Ω(δ\log(n \log σ/ (δ\log n)) \log n) bits up to constant factors, where n is the string length, σ is the alphabet size, and δ is the substring complexity. Their dynamic counterparts, however, remain scarce: every exi
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
312. Imaging Exploration of Molecular Subtypes in Tongue Squamous Cell Carcinoma
Source: http://arxiv.org/abs/2604.23679v1 (2026)
Summary: Tongue squamous cell carcinoma (TSCC) is an aggressive malignancy with marked biological heterogeneity and variable clinical outcomes. Although molecular profiling has improved understanding of TSCC heterogeneity, its clinical use remains constrained by invasive tissue sampling and limited representation of whole-tumor spatial complexity. Meanwhile, most radiomics studies in TSCC have focused on downstream clinical endpoints, and whether imaging can non-invasively reflect intrinsic molecular sub
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
313. Dr.Sai: An agentic AI for real-world physics analysis at BESIII
Source: http://arxiv.org/abs/2604.22541v1 (2026)
Summary: High Energy Physics (HEP) experiments like BESIII produce petabyte-scale data. Extracting physics results requires complex workflows (simulation, reconstruction, statistical analysis, etc.) that traditionally take experts months or years. Current manual methods are labor-intensive, prone to bias, and limit large-scale systematic scans. As data grows, this paradigm slows discovery. Large Language Models (LLMs) offer a solution. Their natural language understanding and code generation capabilities
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
314. The Cathaya argyrophylla Genome Reveals the Evolutionary Trade-offs of a Living Fossil
Source: http://arxiv.org/abs/2604.22440v1 (2026)
Summary: Cathaya argyrophylla is an endangered paleoendemic gymnosperm characterized by restricted ecological adaptability and high pathogen susceptibility. To elucidate its genomic architecture and evolutionary history, a de novo chromosome-level genome assembly was constructed using PacBio High-Fidelity long reads and Hi-C scaffolding. The resulting 22.73 Gb assembly resolves into 12 pseudochromosomes, demonstrating genome gigantism driven primarily by a 72.92 percent repeat sequence content and extens
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
315. StackFeat RL: Reinforcement Learning over Iterative Dual Criterion Feature Selection for Stable Biomarker Discovery
Source: http://arxiv.org/abs/2604.22892v1 (2026)
Summary: Feature selection in high-dimensional genomic data (d \gg n) demands methods that are simultaneously accurate, sparse, and stable. Existing approaches either require manual threshold specification (mRMR, stability selection), produce unstable selections under data perturbation (Lasso, Boruta), or ignore biological structure entirely. We introduce StackFeat-RL, a meta-learning framework that optimises the hyperparameters of an iterative dual-criterion feature selection algorithm via REINFORCE p
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
316. StackFeat: a convergent algorithm for optimal predictor selection in genomic data
Source: http://arxiv.org/abs/2604.22887v1 (2026)
Summary: In high-dimensional genomic data, the curse of dimensionality (d >> n) and limited sampling make feature selection inherently unstable - a critical barrier to biomarker discovery. We introduce StackFeat, an iterative algorithm that accumulates two statistics across repeated cross-validation: signed coefficients (measuring effect strength and direction) and selection frequencies (estimating selection probability). Only features ranking highly by both criteria are retained. On a COVID-19 miRNA dat
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
317. Tail-Greedy Unbalanced Haar Wavelet Segmentation for Copy Number Alteration Data
Source: http://arxiv.org/abs/2604.22364v1 (2026)
Summary: Detecting copy number alterations (CNAs) from next-generation sequencing data remains challenging, particularly for short segments under noisy conditions. Existing segmentation methods often suffer from high false positive rates or fail to reliably detect short aberrations, especially in low-coverage data. In this study, we propose a modified tail-greedy unbalanced Haar (TGUHm) method that introduces a dual-thresholding strategy to improve segmentation accuracy. The proposed approach effectively
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
318. Zero-inflated modeling with smoothing on counting tensors
Source: http://arxiv.org/abs/2604.22088v1 (2026)
Summary: We propose a unified probabilistic framework for sparse count tensors with excess zeros, motivated by single-cell Hi-C data. The observed data are naturally represented as a three-way tensor indexed by genomic loci pairs and cells, exhibiting pronounced sparsity, zero inflation, and cell-to-cell heterogeneity. We introduce a zero-inflated Poisson tensor model that integrates low-rank CP structure, cluster-specific latent embeddings, and smoothness along ordered genomic loci, thereby jointly capt
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
319. From Research Question to Scientific Workflow: Leveraging Agentic AI for Science Automation
Source: http://arxiv.org/abs/2604.21910v1 (2026)
Summary: Scientific workflow systems automate execution -- scheduling, fault tolerance, resource management -- but not the semantic translation that precedes it. Scientists still manually convert research questions into workflow specifications, a task requiring both domain knowledge and infrastructure expertise. We propose an agentic architecture that closes this gap through three layers: an LLM interprets natural language into structured intents (semantic layer); validated generators produce reproducibl
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
320. A Robust Framework for Two-Sample Mendelian Randomization under Population Heterogeneity
Source: http://arxiv.org/abs/2604.21757v2 (2026)
Summary: Mendelian randomization is a powerful tool for causal inference in observational studies. The two-sample summary-data design, which estimates genetic associations with exposures and outcomes in separate cohorts, is the most widely used Mendelian randomization approach in large-scale genomic studies. However, this approach relies on a strong assumption of population homogeneity across the two samples. In practice, available samples often differ in ancestry, demographics, socioeconomic factors, co
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
321. Evaluating Post-hoc Explanations of the Transformer-based Genome Language Model DNABERT-2
Source: http://arxiv.org/abs/2604.21690v1 (2026)
Summary: Explaining deep neural network predictions on genome sequences enables biological insight and hypothesis generation-often of greater interest than predictive performance alone. While explanations of convolutional neural networks (CNNs) have been shown to capture relevant patterns in genome sequences, it is unclear whether this transfers to more expressive Transformer-based genome language models (gLMs). To answer this question, we adapt AttnLRP, an extension of layer-wise relevance propagation t
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
322. Online Generalised Predictive Coding
Source: http://arxiv.org/abs/2605.02675v1 (2026)
Summary: This paper introduces an extension of generalised filtering for online applications. Generalised filtering refers to data assimilation schemes that jointly infer latent states, learn unknown model parameters, and estimate uncertainty in an integrated framework -- e.g., estimate state and observation noise -- at the same time (i.e., triple estimation). This framework appears across disciplines under different names, including variational Kalman-Bucy filtering in engineering, generalised predictiv
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
323. A Cellular Doctrine of Morality: Intrinsic Active Precision and the Mind-Reality Overload Dilemma
Source: http://arxiv.org/abs/2605.01376v1 (2026)
Summary: Current AI systems, grounded in oversimplified neuroscience, risk eroding the distinction between truth and falsehood. They maximize reward by amplifying attention to information without intrinsic precision mechanisms to assess whether it is valid or worth attending to. This increases both the volume of information and the inherent biases in what the system attends to, whether true, false, or irrelevant. If not corrected, this trend will accelerate, threatening to overload systems and individual
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
324. PhaseNet++: Phase-Aware Frequency-Domain Anomaly Detection for Industrial Control Systems via Phase Coherence Graphs
Source: http://arxiv.org/abs/2605.00929v1 (2026)
Summary: Multivariate time series anomaly detection in ICS has attracted growing attention due to the increasing threat of cyber-physical attacks on critical infrastructure. State-of-the-art methods model inter-sensor relationships from raw time-domain amplitude values, using graph neural networks, Transformers. However, these methods discard the phase spectrum produced by time frequency transformations, We argue that phase information constitutes a complementary and previously overlooked detection modal
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
325. NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures
Source: http://arxiv.org/abs/2604.28059v1 (2026)
Summary: Spiking neural networks (SNNs) are a promising paradigm for energy-efficient event-driven computation, but large-scale SNN execution remains challenging because sparse spike communication and synchronization can dominate runtime. Existing solutions across CPU, GPU, ASIC, and FPGA platforms offer different trade-offs between programmability, efficiency, and scalability. To address this gap, we present NeuroRing, a modular and scalable SNN accelerator based on a stream-dataflow architecture and a
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
326. Synthetic Biological Intelligence: System-Level Abstractions and Adaptive Bio-Digital Interaction
Source: http://arxiv.org/abs/2604.27933v1 (2026)
Summary: Concurrent advances across fields such as organoid technology, Microelectrode Arrays (MEAs), neuromorphic computing, and machine learning have given rise to a groundbreaking research paradigm: Synthetic Biological Intelligence (SBI). SBI refers to engineered systems in which living Biological Neural Networks (BNNs) are interfaced with hardware and software to perform task-oriented information processing in a closed loop. This cutting-edge technology, while still in its infancy, has the potential
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
327. On Agentic Behavioral Modeling
Source: http://arxiv.org/abs/2604.27894v1 (2026)
Summary: Integrating theoretical neuroscience, decision theory, and probabilistic inference offers a promising route to understanding human cognition, yet concrete methodological bridges between agentic AI models and behavioral data analysis remain formally underdeveloped. We advance this synthesis under the framework of agentic behavioral modeling (ABM), which treats artificial agents as latent, generative hypotheses about cognitive mechanisms and evaluates them by their statistical adequacy in explaini
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
328. Contextual Agentic Memory is a Memo, Not True Memory
Source: http://arxiv.org/abs/2604.27707v1 (2026)
Summary: Current agentic memory systems (vector stores, retrieval-augmented generation, scratchpads, and context-window management) do not implement memory: they implement lookup. We argue that treating lookup as memory is a category error with provable consequences for agent capability, long-term learning, and security. Retrieval generalizes by similarity to stored cases; weight-based memory generalizes by applying abstract rules to inputs never seen before. Conflating the two produces agents that accum
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
329. SlicerRoboTMS: An Open-Source 3D Slicer Extension for Robot-Assisted Transcranial Magnetic Stimulation
Source: http://arxiv.org/abs/2604.25661v1 (2026)
Summary: Robot-assisted Transcranial Magnetic Stimulation (Robo-TMS) is an image-guided robotic intervention that enhances the accuracy and reproducibility of conventional Transcranial Magnetic Stimulation (TMS), a widely used non-invasive brain stimulation procedure in clinical treatment and neuroscience research. Despite its potential, the development of Robo-TMS remains challenging due to the need for multidisciplinary expertise spanning medical imaging, computer vision, and robotics. This paper prese
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
330. An in situ self-adaptive hydrogel coating enables seamless neural interfaces via okra mucilage polysaccharide and α-helical peptide amphiphiles co-assembly
Source: http://arxiv.org/abs/2604.23945v1 (2026)
Summary: Long-term stability of neural interfaces is frequently compromised by mechanical mismatch and chronic neuroinflammation, often leading to electrode detachment and signal failure. While hydrogel coatings offer a solution, conventional designs typically rely on exogenous conductive fillers that can sacrifice mechanical flexibility or induce toxicity. Here, we report on a soft neural interface based on the supramolecular co-assembly of a renewable natural polysaccharide, okra mucilage polysaccharid
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
331. Integrative neurocybernetic modeling in the era of large-scale neuroscience
Source: http://arxiv.org/abs/2604.23903v1 (2026)
Summary: Large-scale neuroscience is generating rich datasets across animals, brain areas and behavioral contexts, yet our modeling efforts remains fragmented across isolated experiments. We argue that understanding behavior requires integrative neurocybernetic models: understandable dynamical models that capture the closed-loop coupling of brain, body and environment, treat the brain as a controller pursuing latent objectives, represent structured variation across scales, and scale to heterogeneous data
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
332. ZenBrain: A Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems
Source: http://arxiv.org/abs/2604.23878v2 (2026)
Summary: On LongMemEval-500, ZenBrain matches a long-context oracle's binary-judge accuracy to within 4.5 pp (47.7\% vs. 52.2\%; 91.3\%) at 1/106^\text{th} of the per-query token cost (App. F.5-F.6, Fig. 2), and wins all 12 head-to-head answer-quality cells (4 systems \times 3 LLM judges) against Letta, Mem0, and A-Mem under Bonferroni correction (α=0.05/18, p_\text{min}=6.2\times 10^{-31}, d \in [0.18, 0.52]). ZenBrain is a 7-layer neuroscience-inspired memory architecture. The contrib
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
333. Inverting Foundation Models of Brain Function with Simulation-Based Inference
Source: http://arxiv.org/abs/2604.23865v2 (2026)
Summary: Foundation models of brain activity promise a new frontier for in silico neuroscience by emulating neural responses to complex stimuli across tasks and modalities. A natural next step is to ask whether these models can also be used in reverse. Can we recover a stimulus or its properties from synthetic brain activity? We study this question in a proof-of-concept setting using TRIBEv2. We pair the brain emulator with large language models (LLMs) that generate news headlines from linguistic paramet
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
334. Evidence for a Functional Proximity Law in Multilayer Networks
Source: http://arxiv.org/abs/2604.23639v1 (2026)
Summary: Hub importance scores in multilayer networks persist more strongly between functionally similar layers than dissimilar ones. We call this the Functional Proximity Law and test it across 17 pre-registered experiments: 12 canonical domains (9 confirmed, 3 denied; molecular biology, neuroscience, computer systems, ecology, linguistics) plus 5 external validations on independently-authored datasets. Eight canonical domains reach p < 0.05 individually; the directional inequality holds in all 9 confir
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
335. Linear equivalence of nonlinear recurrent neural networks
Source: http://arxiv.org/abs/2604.23489v1 (2026)
Summary: Large nonlinear recurrent neural networks with random couplings generate high-dimensional, potentially chaotic activity whose structure is of interest in neuroscience, machine learning, ecology, and other fields. A fundamental object encoding the collective structure of this activity is the N \times N covariance matrix. Prior analytical work on the covariance matrix has been limited to low-dimensional summary statistics, not the full high-dimensional object for a specific realization of the co
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
336. Structure-Guided Diffusion Model for EEG-Based Visual Cognition Reconstruction
Source: http://arxiv.org/abs/2604.22649v1 (2026)
Summary: Objective: Decoding visual information from electroencephalography (EEG) is an important problem in neuroscience and brain-computer interface (BCI) research. Existing methods are largely restricted to natural images and categorical representations, with limited capacity to capture structural features and to differentiate objective perception from subjective cognition. We propose a Structure-Guided Diffusion Model (SGDM) that incorporates explicit structural information for EEG-based visual recon
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
337. Design, Cups, and Blankets. A Free-Energy-Principle-Based Approach to Product Design
Source: http://arxiv.org/abs/2604.22902v2 (2026)
Summary: Classical design theory treats the type of an object as a given: the designer decides in advance that this will be a cup, then optimizes its parameters. This paper argues that object type is not a presupposition but an inference, something that can be determined from physical data and functional requirements jointly. We call this problem requirement-steered interface type inference and show that it is inexpressible within existing design frameworks. This paper makes two contributions that are jo
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
338. MTT-Bench: Predicting Social Dominance in Mice via Multimodal Large Language Models
Source: http://arxiv.org/abs/2604.22492v1 (2026)
Summary: Understanding social dominance in animal behavior is critical for neuroscience and behavioral studies. In this work, we explore the capability of Multimodal Large Language Models(MLLMs) to analyze raw behavioral video of mice and predict their dominance hierarchy. We introduce MTT-Bench, a novel benchmark comprising annotated videos of pairwise mouse interactions for Mouse Tube Test analysis. Building on existing MLLM architectures, we fine-tune these models to perform zero-shot inference on uns
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
339. How LLMs Detect and Correct Their Own Errors: The Role of Internal Confidence Signals
Source: http://arxiv.org/abs/2604.22271v2 (2026)
Summary: Large language models can detect their own errors and sometimes correct them without external feedback, but the underlying mechanisms remain unknown. We investigate this through the lens of second-order models of confidence from decision neuroscience. In a first-order system, confidence derives from the generation signal itself and is therefore maximal for the chosen response, precluding error detection. Second-order models posit a partially independent evaluative signal that can disagree with t
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
340. A Critical Assessment of the Brain Criticality Hypothesis
Source: http://arxiv.org/abs/2604.21071v1 (2026)
Summary: A major unresolved question in Neuroscience is: What is the origin of the observed scale-invariant correlations in neural activity? Many researchers support the criticality hypothesis,'' which proposes that the brain operates near a critical point, optimizing various information processing functions. We argue that such a critical point may not exist. Rather, the coupling between neurons and slowly varying resources (acting as memory''), may instead generate a robust phase of neural activity
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
341. Self-Aware Vector Embeddings for Retrieval-Augmented Generation: A Neuroscience-Inspired Framework for Temporal, Confidence-Weighted, and Relational Knowledge
Source: http://arxiv.org/abs/2604.20598v1 (2026)
Summary: Modern retrieval-augmented generation (RAG) systems treat vector embeddings as static, context-free artifacts: an embedding has no notion of when it was created, how trustworthy its source is, or which other embeddings depend on it. This flattening of knowledge has a measurable cost: recent work on VersionRAG reports that conventional RAG achieves only 58% accuracy on versioned technical queries, because retrieval returns semantically similar but temporally invalid content. We propose SmartVecto
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
342. FSFM: A Biologically-Inspired Framework for Selective Forgetting of Agent Memory
Source: http://arxiv.org/abs/2604.20300v2 (2026)
Summary: For LLM agents, memory management critically impacts efficiency, quality, and security. While much research focuses on retention, selective forgetting--inspired by human cognitive processes (hippocampal indexing/consolidation theory and Ebbinghaus forgetting curve)--remains underexplored. We argue that in resource-constrained environments, a well-designed forgetting mechanism is as crucial as remembering, delivering benefits across three dimensions: (1) efficiency via intelligent memory pruning,
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
343. A neural operator framework for data-driven discovery of stability and receptivity in physical systems
Source: http://arxiv.org/abs/2604.19465v2 (2026)
Summary: Understanding how complex systems respond to perturbations, such as whether they will remain stable or what their most sensitive patterns are, is a fundamental challenge across science and engineering. Traditional stability and receptivity (resolvent) analyses are powerful but rely on known equations and linearization, limiting their use in nonlinear or poorly modeled systems. Here, we introduce a data-driven framework that automatically identifies stability properties and optimal forcing respon
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
344. Brain-Inspired Capture: Evidence-Driven Neuromimetic Perceptual Simulation for Visual Decoding
Source: http://arxiv.org/abs/2604.17927v1 (2026)
Summary: Visual decoding of neurophysiological signals is a critical challenge for brain-computer interfaces (BCIs) and computational neuroscience. However, current approaches are often constrained by the systematic and stochastic gaps between neural and visual modalities, largely neglecting the intrinsic computational mechanisms of the Human Visual System (HVS). To address this, we propose Brain-Inspired Capture (BI-Cap), a neuromimetic perceptual simulation paradigm that aligns these modalities by emul
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
345. Inferring Active Neural Circuits Using Diffusion Scores
Source: http://arxiv.org/abs/2605.02852v1 (2026)
Summary: In biological systems, neural circuits compute through directed, short-latency interactions whose effects unfold across multiple time scales and behavioral contexts. We address the problem of inferring these local, lag-specific interactions from sampled neural population activity under varying stimuli, without assuming a parametric form for the underlying dynamics. Our approach leverages denoising score models by estimating joint-window scores over consecutive activity snapshots (i.e., brain sta
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
346. SIAM: Head and Brain MRI Segmentation from Few High-Quality Templates via Synthetic Training
Source: http://arxiv.org/abs/2605.02737v1 (2026)
Summary: Synthetic training has recently advanced brain MRI segmentation by enabling contrast-agnostic models trained entirely on generated data. However, most existing approaches rely on hundreds of automatically labeled templates, introducing systematic biases and limiting their flexibility to incorporate new anatomical structures. We present the Segment It All Model (SIAM), a 3D whole-head segmentation framework for 16 anatomical structures, trained using only six high-quality, manually annotated temp
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
347. Prior elicitation for Bayesian estimation of single-subject connectivity networks
Source: http://arxiv.org/abs/2605.02587v1 (2026)
Summary: Inference of brain functional connectivity networks from resting-state fMRI data is a key focus in neuroimaging. This paper introduces new Bayesian approaches for inferring a functional connectivity graph from multivariate resting-state fMRI time series of a single subject. Our methods rely on novel Bayesian priors on correlation matrices and a dedicated prior elicitation framework, which translates prior beliefs about the expected level and variability of correlations into interpretable hyperpa
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
348. StableMind: Source-Free Cross-Subject fMRI Decoding with Regularized Adaptation
Source: http://arxiv.org/abs/2605.02586v1 (2026)
Summary: Existing cross-subject fMRI decoding methods typically train a model on multiple scanned subjects and then adapt it to a new subject using substantial paired fMRI-image data. However, in realistic scenarios, new-subject fMRI data are often limited due to costly data acquisition, and raw data from previous subjects may be inaccessible, leading existing methods to suffer performance degradation during new-subject adaptation. In this paper, we identify that this degradation stems from two key issue
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
349. Position: How can Graphs Help Large Language Models?
Source: http://arxiv.org/abs/2605.02452v1 (2026)
Summary: With the rapid advancement of large language models (LLMs), classic graph learning tasks have greatly benefited from LLMs, including improved encoding of textual features, more efficient construction of graphs from text, and enhanced reasoning over knowledge graphs. In this paper, we ask a complementary question: How can graphs help LLMs? We address this question from three perspectives: 1) graphs provide an up-to-date knowledge source that helps reduce LLM hallucinations, 2) graph-based prompti
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
350. M\textsuperscript{4}Fuse: Lightweight State-Space MoE with a Cross-Scale Gating Bridge for Brain Tumor Segmentation
Source: http://arxiv.org/abs/2605.02444v1 (2026)
Summary: Encoder-decoder imbalance and the reliance on large input volumes make many 3D brain tumor segmentation models both compute-heavy and brittle. We present M\textsuperscript{4}Fuse, a lightweight network that prioritizes discriminative brain tumor cues over exhaustive appearance reconstruction. Our method balances encoder and decoder capacity and replaces depth expansion with a synergistic design: it propagates long-range context with linear complexity via a grouped state space mixer, denoises and
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
351. Modeling sequential cognitive states via population level cortical dynamics
Source: http://arxiv.org/abs/2605.02365v1 (2026)
Summary: In this work, we present a mathematical model for cyclic and sequential patterns of brain activity, combining heteroclinic dynamics with discrete neural-field models. We first show that spatial-discrete neural-field equations with biologically realistic equilibria cannot support heteroclinic cycles. On the other hand, heterocline dynamics often arise in Lotka-Volterra-type systems, but these equations do not directly correspond to neuronal processes. To address this, we use a version of the Univ
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
352. InfiltrNet: Dual-Branch CNN-Transformer Architecture for Brain Tumor Infiltration Risk Prediction
Source: http://arxiv.org/abs/2605.02230v1 (2026)
Summary: Gliomas are aggressive brain tumors that infiltrate surrounding tissue beyond the visible tumor margins observed on Magnetic Resonance Imaging (MRI). Predicting the spatial extent of this infiltration is essential for surgical planning and radiation therapy, yet existing deep learning approaches focus on segmenting the visible tumor rather than estimating infiltration risk in the surrounding tissue. This paper presents InfiltrNet, a novel dual-branch architecture that combines a convolutional ne
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
353. TumorXAI: Self-Supervised Deep Learning Framework for Explainable Brain MRI Tumor Classification
Source: http://arxiv.org/abs/2605.01999v1 (2026)
Summary: Classifying brain tumors using magnetic resonance imaging (MRI) is crucial for early diagnosis and treatment; however, tumor heterogeneity and a dearth of annotated datasets restrict the use of supervised deep learning approaches. In this work, we use self-supervised learning (SSL) to study multi-class brain tumor classification. Using a ResNet-50 backbone, we evaluate four SSL frameworks including SimCLR, BYOL, DINO, and Moco v3 on a publicly available dataset of 4,448 MRIs with 17 distinct tum
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
354. GeoSAE: Geometric Prior-Guided Layer-Wise Sparse Autoencoder Annotation of Brain MRI Foundation Models
Source: http://arxiv.org/abs/2605.01829v1 (2026)
Summary: Brain MRI foundation models learn rich representations of anatomy, but interpreting what clinical information they encode remains an open problem. Standard sparse autoencoders (SAEs) suffer from severe feature collapse in deep transformer layers, and in Alzheimer's disease (AD) research, aging confounds nearly every clinical variable, making naive annotation unreliable. We propose GeoSAE, a geometry-guided SAE framework that uses the foundation model's learned manifold structure to prevent featu
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
355. Longitudinal QSM: Enhancing consistency of multiple time point susceptibility maps via simultaneous reconstruction
Source: http://arxiv.org/abs/2605.01819v1 (2026)
Summary: Quantitative susceptibility mapping (QSM) has been increasingly applied in longitudinal studies of neurodegenerative diseases and aging to assess temporal alterations in brain iron and myelin. The accuracy of such investigations depends on the repeatability and sensitivity of measurements. However, the ill-posed nature of the QSM processing steps makes the reconstruction vulnerable to background field changes, head orientation changes, noise, and imperfect registration, which compromise repeatab
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
356. Exploring Entropy-based Active Learning for Fair Brain Segmentation
Source: http://arxiv.org/abs/2605.01706v1 (2026)
Summary: Active learning (AL) has emerged as a crucial strategy for reducing the prohibitive costs associated with medical image segmentation. However, standard uncertainty-based AL methods typically focus on maximizing performance metrics, ignoring performance disparities or fairness across groups with sensitive attributes. While fair active learning has been explored in classification tasks, its intersection with medical image segmentation remains unaddressed. In this work, we introduced a fairness-awa
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
357. From Cortical Synchronous Rhythm to Brain Inspired Learning Mechanism: An Oscillatory Spiking Neural Network with Time-Delayed Coordination
Source: http://arxiv.org/abs/2605.01656v1 (2026)
Summary: Human cognition emerges from coordinated spiking dynamics in distributed neural circuits, where information is encoded via both firing rates and precise spike timing determined by brain rhythms. Inspired by this notion, we propose a brain-inspired learning primitive in which cognition-level neural synchrony emerges through iterative bottom-up and top-down interactions between micro-scale dynamics of spiking neurons and a macro-scale mechanism of oscillatory synchronization. Specifically, we mode
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
358. Brain criticality through nonadditive entropic analysis of electroencephalograms
Source: http://arxiv.org/abs/2605.01629v1 (2026)
Summary: On the grounds of nonadditive entropies -- appropriate for complex systems -- we investigate the electroencephalogram amplitudes of typical and ADHD children. The corresponding probability distributions are $q$-Gaussians, i.e., ρ(x) \propto e_q^{-βx^2} \equiv [1+(q-1) βx^2]^{1/(1-q)}, where (q,β) are, respectively, the entropic index characterizing complexity and the inverse width. We show that q tends to monotonically vary with β for both typical and ADHD subjects, thus revealing critic
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
359. Automatic Aberration Correction for Transcranial Functional and Super-Resolution Ultrasound Imaging in Rodents and Nonhuman Primates
Source: http://arxiv.org/abs/2605.01538v1 (2026)
Summary: Skull-induced aberrations remain a major drawback of transcranial ultrasound localization microscopy (ULM), degrading sensitivity and spatial accuracy through microbubble mislocalization, false detections, and imaging artifacts, such as disconnected or duplicated vessels. Here, we present a differentiable beamforming framework for automatic aberration correction in transcranial Doppler and ULM. Our approach uses spatially distributed delay-based parameterization of the aberration that is optimiz
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
360. The grip of grammar on meaning uncertainty: cross-linguistic evidence, neural correlates, and clinical relevance
Source: http://arxiv.org/abs/2605.01537v1 (2026)
Summary: Isolated word meanings are inherently uncertain. This uncertainty reduces when they are combined and anchored in context. We propose that grammar compresses meaning uncertainty cross-linguistically, which is reflected in brain and selectively disrupted in disorders. Compression was operationalized as the relative difference between non-contextual surprisal estimated from lexical frequency, and contextual surprisal from grammar-sensitive models. In narratives from 20 languages, contextual surpris
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
361. A Target-Free Harmonization Method for MRI
Source: http://arxiv.org/abs/2605.01282v1 (2026)
Summary: In MRI, variations in scan parameters, sequence, or hardware can lead to discrepancies in image appearance, even for the same subject. These inconsistencies, known as domain shifts, can hinder image analysis and degrade the performance of deep learning models trained on data from specific target domains. MRI image harmonization aims to address these issues by aligning source domain images to the target domain images while preserving biological information such as anatomical structures. However,
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
362. Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI
Source: http://arxiv.org/abs/2605.01240v1 (2026)
Summary: Self-supervised pretraining is promising for large-scale neuroimaging, yet the impact of region-aware masking and hybrid sequence modeling remains underexplored. In this work, we introduce Rhamba, a region-aware pretraining framework that integrates anatomically guided masking with hybrid Attention-Mamba architectures for resting state functional magnetic resonance imaging (fMRI) analysis. Models were pretrained on the ABIDE dataset using region-aligned patch embeddings and three masking strateg
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
363. Benchmarking local Hebbian learning rules for memory storage and prototype extraction
Source: http://arxiv.org/abs/2605.01074v1 (2026)
Summary: Associative memory or content-addressable memory is an important component function in computer science and information processing, and at the same time a key concept in cognitive and computational brain science. Many different neural network architectures and learning rules have been proposed to model the brain's associative memory while investigating key component functions like figure-ground segmentation, perceptual reconstruction and rivalry. A less investigated but equally important capabil
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
364. Non-Markovian Dynamical Systems Modeling of Electroencephalogram-based Brain Activity for Anticipating the Cognitive Fatigue Level
Source: http://arxiv.org/abs/2605.01043v1 (2026)
Summary: Cognitive fatigue, which transitions from focused attention to inexact responses, can cause catastrophic failures in high-stakes environments, yet current black-box assessment techniques ignore the brain's non-Markovian and time-varying interdependent properties, limiting real-time phase transition detection. We develop a fractional dynamical networks-based machine learning (FDNML) framework using coupled fractional-order differential equations to capture brain signal interdependencies and detec
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
365. Temporal Out-of-Distribution Detection for Asynchronous Motor Imagery Brain-Computer Interfaces
Source: http://arxiv.org/abs/2605.01014v1 (2026)
Summary: Real online brain--computer interfaces operate on continuous electroencephalography (EEG) streams, where users are usually at rest and enter motor-imagery task states only intermittently. EEG windows may also arise from OOD MI activity outside the predefined control set. Conventional closed-set motor-imagery classifiers tend to assign such inputs to ID classes, which can cause erroneous control. To address this issue, this paper proposes a two-stage EEG detection framework for asynchronous motor
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
366. Functional Connectivity-Guided Band Selection for Motor Imagery Brain-Computer Interfaces
Source: http://arxiv.org/abs/2605.00746v1 (2026)
Summary: Reliable control in motor imagery brain-computer interfaces (MI-BCIs) requires the precise decoding of user-specific neural rhythms, which vary significantly across individuals. The Common Spatial Pattern (CSP) algorithm is a cornerstone of MI-BCI decoding, yet its performance depends strongly on the spectral range of the input EEG data. Although Filter Bank CSP (FBCSP) extends this as a data-driven decoding framework, its frequency sub-bands are predefined rather than selected using subject-spe
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
367. Reconstruction of glymphatic transport fields from subject-specific imaging data, with particular emphasis on cerebrospinal fluid flow and tracer conservation
Source: http://arxiv.org/abs/2605.00730v1 (2026)
Summary: The reconstruction of physically valid transport fields from subject-specific imaging data is a fundamental challenge in image-based computational modeling due to measurement noise, modeling uncertainties and discretization errors. Without a methodology to construct models that faithfully reflect the underlying physics, mechanistic understanding of complex biological systems is inherently limited. In this work, we address this challenge in the glymphatic system, the brain's waste-clearance netwo
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
368. Intrinsic Brain Networks Underlying the Experience and Expression of Subclinical Anxiety
Source: http://arxiv.org/abs/2605.00465v1 (2026)
Summary: Anxiety includes behavioural, physiological, and subjective components that do not always align, and it remains unclear whether these dimensions are supported by distinct intrinsic brain networks. Guided by the two-system framework, we tested whether resting-state functional connectivity (rsFC) differentiates these components in subclinical anxiety. Forty-seven young adults spanning a range of subclinical anxiety levels completed a threat anticipation task measuring behavioral responses (reactio
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
369. SIMON: Saliency-aware Integrative Multi-view Object-centric Neural Decoding
Source: http://arxiv.org/abs/2605.00401v1 (2026)
Summary: Recent EEG-to-image retrieval methods leverage pretrained vision encoders and foveation-inspired priors, but typically assume a fixed, center-focused view. This center bias conflicts with content-driven human attention, creating a geometric-semantic dissociation between visual features and EEG responses. We propose SIMON, a saliency-aware multi-view framework for zero-shot EEG-to-image retrieval. SIMON combines foreground segmentation and saliency prediction to select fixation centers via Salien
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
370. SpecKV: Adaptive Speculative Decoding with Compression-Aware Gamma Selection
Source: http://arxiv.org/abs/2605.02888v1 (2026)
Summary: Speculative decoding accelerates large language model (LLM) inference by using a small draft model to propose candidate tokens that a larger target model verifies. A critical hyperparameter in this process is the speculation length~γ, which determines how many tokens the draft model proposes per step. Nearly all existing systems use a fixed~γ (typically~4), yet empirical evidence suggests that the optimal value varies across task types and, crucially, depends on the compression level applied
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
371. Unsupervised Machine Learning for Detecting Structural Anomalies in European Regional Statistics
Source: http://arxiv.org/abs/2605.02884v1 (2026)
Summary: Ensuring the coherence of regional socio-economic statistics is a central task for national statistical institutes. Traditional validation tools, such as range edits, ratio checks, or univariate outlier detection, are effective for identifying extreme values in individual series but are less suited for detecting unusual combinations of indicators in high-dimensional settings. This paper proposes an unsupervised machine learning framework for identifying structurally atypical regional profiles wi
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
372. Multi-fidelity surrogates for mechanics of composites: from co-kriging to multi-fidelity neural networks
Source: http://arxiv.org/abs/2605.02871v1 (2026)
Summary: Composite materials exhibit strongly hierarchical and anisotropic properties governed by coupled mechanisms spanning constituents, plies, laminates, structures, and manufacturing history. This intrinsic complexity makes predictive modeling of composites expensive, because repeated experiments and high-fidelity simulations are needed to cover large design spaces of material, structure, and manufacturing. Multi-fidelity surrogate modeling addresses this challenge by combining abundant, less expens
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
373. Standing on the Shoulders of Giants: Stabilized Knowledge Distillation for Cross--Language Code Clone Detection
Source: http://arxiv.org/abs/2605.02860v1 (2026)
Summary: Cross-language code clone detection (X-CCD) is challenging because semantically equivalent programs written in different languages often share little surface similarity. Although large language models (LLMs) have shown promise for semantic clone detection, their use as black-box systems raises concerns about cost, reproducibility, privacy, and unreliable output formatting. In particular, compact open-source models often struggle to follow reasoning-oriented prompts and to produce outputs that ca
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
374. A second-order method on the Stiefel manifold via Newton$\unicode{x2013}$Schulz
Source: http://arxiv.org/abs/2605.02838v1 (2026)
Summary: Retraction-free approaches offer attractive low-cost alternatives to Riemannian methods on the Stiefel manifold, but they are often first-order, which may limit the efficiency under high-accuracy requirements. To this end, we propose a second-order method landing on the Stiefel manifold without invoking retractions, which is proved to enjoy local quadratic (or superlinear for its inexact variant) convergence. The update consists of the sum of (i) a component tangent to the level set of the const
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
375. Per-Platform GPIO Overhead in Hardware-Validated Edge ML Inference Timing
Source: http://arxiv.org/abs/2605.02835v1 (2026)
Summary: Edge machine learning (ML) deployments increasingly rely on per-inference timing measured by software clocks such as Python's perf_counter, but these measurements are not always validated against external hardware references on embedded Linux, and edge ML benchmarking methodologies typically do not isolate platform-dependent instrumentation overhead. This paper reports a preliminary characterization of GPIO call overhead in hardware-validated edge ML inference timing on two embedded platforms ru
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
376. VideoNet: A Large-Scale Dataset for Domain-Specific Action Recognition
Source: http://arxiv.org/abs/2605.02834v1 (2026)
Summary: Videos are unique in their ability to capture actions which transcend multiple frames. Accordingly, for many years action recognition was the quintessential task for video understanding. Unfortunately, due to a lack of sufficiently diverse and challenging data, modern vision-language models (VLMs) are no longer evaluated on their action recognition capabilities. To revitalize action recognition in the era of VLMs, we advocate for a returned focus on domain-specific actions. To this end, we intro
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
377. First-Order Efficiency for Probabilistic Value Estimation via A Statistical Viewpoint
Source: http://arxiv.org/abs/2605.02827v1 (2026)
Summary: Probabilistic values, including Shapley values and semivalues, provide a model-agnostic framework to attribute the behavior of a black-box model to data points or features, with a wide range of applications including explainable artificial intelligence and data valuation. However, their exact computation requires utility evaluations over exponentially many coalitions, making Monte Carlo approximation essential in modern machine learning applications. Existing estimators are often developed throu
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
378. The Bayesian Reflex: Online Learning as the Autonomic Nervous System of Modern and Future AI
Source: http://arxiv.org/abs/2605.02825v1 (2026)
Summary: This chapter introduces the Bayesian reflex -- an analogy with the autonomic nervous system -- as a unifying framework for online learning in AI. Bayesian online algorithms automatically maintain equilibrium in dynamic environments via three mechanisms: belief maintenance through probabilistic representations, sequential updating via Bayes' theorem, and uncertainty-driven action balancing exploration and exploitation. We survey online Bayesian methods, highlighting two computational principles:
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
379. A decoupled diffusion planner that adapts to changing cost limits by using cost-conditioned generation for safety and reward gradients for performance
Source: http://arxiv.org/abs/2605.02777v1 (2026)
Summary: Offline safe reinforcement learning often requires policies to adapt at deployment time to safety budgets that vary across episodes or change within a single episode. While diffusion-based planners enable flexible trajectory generation, existing guidance schemes often treat reward improvement and constraint satisfaction as competing gradient objectives, which can lead to unreliable safety compliance under cost limits. We reinterpret adaptive safe trajectory generation as sampling from a constrai
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
380. A Critical Pragmatism Approach for Algorithmic Fairness: Lessons from Urban Planning Theory
Source: http://arxiv.org/abs/2605.02773v1 (2026)
Summary: As data scientists grapple with increasingly complex ethical decisions in machine learning (ML) and data science, the field of algorithmic fairness has offered multiple solutions, from formal mathematical definitions to holistic notions of fairness drawn from various academic disciplines. However, navigating and implementing these fairness approaches in practice remains an ongoing challenge. In this paper, we draw a parallel between the types of problems arising in algorithmic fairness and urban
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
381. Universality in Deep Neural Networks: An approach via the Lindeberg exchange principle
Source: http://arxiv.org/abs/2605.02771v1 (2026)
Summary: We consider the infinite-width limit of a fully connected deep neural network with general weights, and we prove quantitative general bounds on the $2$-Wasserstein distance between the network and its infinite-width Gaussian limit, under appropriate regularity assumptions on the activation function. Our main tool is a Lindeberg principle for Deep Neural Networks, which we use to successively replace the weights on each layer by Gaussian random variables.
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
382. U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning
Source: http://arxiv.org/abs/2605.02765v1 (2026)
Summary: LLMs are increasingly used for end-user task planning, yet their black-box nature limits users' ability to ensure reliability and control. While recent systems incorporate verification techniques, it remains unclear how users can effectively apply such rigid constraints to represent intent or adapt to real-world variability. For example, prior work finds that hard-only constraints are too rigid, and numeric flexibility weights confuse users. We investigate how interaction workflows can better su
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
383. Bolek: A Multimodal Language Model for Molecular Reasoning
Source: http://arxiv.org/abs/2605.02745v1 (2026)
Summary: Molecular property models increasingly support high-stakes drug-discovery decisions, but their outputs are often difficult to audit: classical predictors return scores without rationale, while language models can produce fluent explanations weakly grounded in the input molecule. We introduce Bolek, a compact multimodal language model that grounds natural-language reasoning in molecular structure by injecting a Morgan fingerprint embedding into an instruction-tuned text decoder. Bolek is fine-t
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
384. Adaptive Interpolation-Synthesis for Motion In-Betweening on Keyframe-Based Animation
Source: http://arxiv.org/abs/2605.02742v1 (2026)
Summary: Motion in-betweening is one of the most artistically demanding and time consuming stages of 3D animation, where the expressivity and rhythm of motion are defined. The level of creative control it requires makes it a major production bottleneck, underscoring the need for intelligent tools that assist animators in this process. Although recent deep learning approaches have achieved strong results in motion synthesis and in-betweening, they assume data characteristics, motion styles, and problem fo
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
385. Visual Latents Know More Than They Say: Unsilencing Latent Reasoning in MLLMs
Source: http://arxiv.org/abs/2605.02735v1 (2026)
Summary: Continuous latent-space reasoning offers a compact alternative to textual chain-of-thought for multimodal models, enabling high-dimensional visual evidence to be integrated without explicit reasoning tokens. However, we identify a previously overlooked optimization pathology in existing latent visual reasoning methods: although visual latents become semantically enriched during training, their contribution to final answer prediction is systematically suppressed. Within the shared parameter space
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
386. Dimensionality-Aware Anomaly Detection in Learned Representations of Self-Supervised Speech Models
Source: http://arxiv.org/abs/2605.02715v1 (2026)
Summary: Self-supervised speech models (S3Ms) achieve strong downstream performance, yet their learned representations remain poorly understood under natural and adversarial perturbations. Prior studies rely on representation similarity or global dimensionality, offering limited visibility into local geometric changes. We ask: how do perturbations deform local geometry, and do these shifts track downstream automatic speech recognition (ASR) degradation? To address this, we present GRIDS, a framework usin
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
387. Federated Reinforcement Learning for Efficient Mobile Crowdsensing under Incomplete Information
Source: http://arxiv.org/abs/2605.02705v1 (2026)
Summary: Mobile crowdsensing (MCS) is a distributed sensing architecture that utilizes existing sensors on mobile units (MUs) to perform sensing tasks. A mobile crowdsensing platform (MCSP) publishes the sensing tasks and the MUs decide whether to participate in exchange for money. The MCS system is dynamic: the task requirements, the MUs' availability, and their available resources change over time. The MUs aim to find an efficient task participation strategy to maximize their income while the MCSP focu
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
388. ProPACT: A Proactive AI-Driven Adaptive Collaborative Tutor for Pair Programming
Source: http://arxiv.org/abs/2605.02703v1 (2026)
Summary: Effective pair programming depends on coordination of attention, cognitive effort, and joint regulation over time, yet most adaptive learning systems remain individual-centric and reactive. This paper introduces ProPACT, a proactive AI-driven adaptive collaborative tutor that treats collaboration itself as the object of instruction. ProPACT constructs a multimodal dyadic learner model based on Joint Visual Attention (JVA), Joint Mental Effort (JME), and individual mental effort, and employs an X
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
389. Robust and Fast Training via Per-Sample Clipping
Source: http://arxiv.org/abs/2605.02701v1 (2026)
Summary: We propose a robust gradient estimator based on per-sample gradient clipping and analyze its properties both theoretically and empirically. We show that the resulting method, per-sample clipped SGD (PS-Clip-SGD), achieves optimal in-expectation convergence rates for non-convex optimization problems under heavy-tailed gradient noise. Moreover, we establish high-probability convergence guarantees that match the in-expectation rates up to polylogarithmic factors in the failure probability. We compl
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
390. From Sensors to Insight: Rapid, Edge-to-Core Application Development for Sensor-Driven Applications
Source: http://arxiv.org/abs/2605.02859v1 (2026)
Summary: Scientists increasingly rely on sensor-based data, yet transforming raw streams into insights across the edge-to-cloud continuum remains difficult. Provisioning heterogeneous infrastructure and managing execution on emerging platforms like Data Processing Units typically requires cross-domain expertise, creating significant barriers to rapid prototyping. This paper introduces an experience-driven methodology for the rapid development of sensor-driven applications. By combining pattern-based wo
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
391. (POSTER) From Sensors to Insight: Rapid, Edge-to-Core Application Development for Sensor-Driven Applications
Source: http://arxiv.org/abs/2605.02844v1 (2026)
Summary: Scientists increasingly rely on sensor-based data; however transforming raw streams into insights across the edge-to-cloud continuum remains difficult due to the breadth of expertise required to coordinate the necessary data and computation flow. This paper introduces a pattern-based, AI-assisted methodology for rapid development of sensor-driven applications. Using Pegasus workflows executing on the FABRIC testbed, we demonstrate a 5-step development loop that shifts workflow construction and d
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
392. HAAS: A Policy-Aware Framework for Adaptive Task Allocation Between Humans and Artificial Intelligence Systems
Source: http://arxiv.org/abs/2605.02832v1 (2026)
Summary: Deciding how to distribute work between humans and AI systems is a central challenge in organisational design. Most approaches treat this as a binary choice, yet the operational reality is richer: humans and AI routinely share tasks or take complementary roles depending on context, fatigue, and the stakes involved. Governing that distribution -- balancing efficiency, oversight, and human capability -- remains an open problem. This paper presents Human-AI Adaptive Symbiosis (HAAS), an implemented
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
393. Compress Then Adapt? No, Do It Together via Task-aware Union of Subspaces
Source: http://arxiv.org/abs/2605.02829v1 (2026)
Summary: Adapting large pretrained models to diverse tasks is now routine, yet the two dominant strategies of parameter-efficient fine-tuning (PEFT) and low-rank compression are typically composed in sequence. This decoupled practice first compresses and then fine-tunes adapters, potentially misaligning the compressed subspace with downstream objectives and squandering a global parameter budget. To overcome this limitation, we introduce JACTUS (Joint Adaptation and Compression with a Task-aware Union of
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
394. SCPRM: A Schema-aware Cumulative Process Reward Model for Knowledge Graph Question Answering
Source: http://arxiv.org/abs/2605.02819v1 (2026)
Summary: Large language models excel at complex reasoning, yet evaluating their intermediate steps remains challenging. Although process reward models provide step-wise supervision, they often suffer from a risk compensation effect, where incorrect steps are offset by later correct ones, assigning high rewards to flawed reasoning paths. This issue is further exacerbated in knowledge graph (KG) reasoning, as there may exist multiple paths between the start and end entities in the KGs, and a risky step can
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
395. IConFace: Identity-Structure Asymmetric Conditioning for Unified Reference-Aware Face Restoration
Source: http://arxiv.org/abs/2605.02814v1 (2026)
Summary: Blind face restoration is highly ill-posed under severe degradation, where identity-critical details may be missing from the degraded input. Same-identity references reduce this ambiguity, but mismatched pose, expression, illumination, age, makeup, or local facial states can lead to overuse of reference appearance. We propose \textbf{IConFace}, a unified reference-aware and no-reference framework with identity--structure asymmetric conditioning. References are distilled into a norm-weighted glob
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
396. Tool Use as Action: Towards Agentic Control in Mobile Core Networks
Source: http://arxiv.org/abs/2605.02811v1 (2026)
Summary: Artificial Intelligence (AI) will play an essential role in 6G. It will fundamentally reshape the network architecture itself and drive major changes in the design of network entities, interfaces, and procedures. The adoption of agentic AI in next-generation networks is expected to enhance network intelligence and autonomy through agents capable of planning, reasoning, and acting, while also opening up new business opportunities. Under this vision, existing network functions are expected to evol
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
397. AIs and Humans with Agency
Source: http://arxiv.org/abs/2605.02810v1 (2026)
Summary: This paper compares agency in humans with potential agency in AI programs. Human agency takes many years to develop, as the frontal lobe is activated. Early attempts to endow LLMs agency have met serious obstacles. Progress requires a new architecture where actions and plans are formulated jointly with the human actors in each real world setting.
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
398. Static Analysis of Recursive SHACL
Source: http://arxiv.org/abs/2605.02787v1 (2026)
Summary: SHACL (Shapes Constraint Language) expresses constraints on RDF data by means of so-called shapes. Its central service is validation: verifying whether a data graph complies with a SHACL document. But so far, there are no static analysis services to compare documents. In this paper, we study the following problem: decide whether all graphs that validate one SHACL document also validate another. Unlike previous works that have considered the implication of shape expressions only, we consider docu
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
399. When Audio-Language Models Fail to Leverage Multimodal Context for Dysarthric Speech Recognition
Source: http://arxiv.org/abs/2605.02782v1 (2026)
Summary: Automatic speech recognition (ASR) systems remain brittle on dysarthric and other atypical speech. Recent audio-language models raise the possibility of improving performance by conditioning on additional clinical context at inference time, but it is unclear whether these models can make use of such information. We introduce a benchmark built on the Speech Accessibility Project (SAP) dataset that tests whether diagnosis labels, clinician-derived speech ratings, and progressively richer clinical
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
400. TOC-SR: Task-Optimal Compact diffusion for Image Super Resolution
Source: http://arxiv.org/abs/2605.02767v1 (2026)
Summary: Diffusion models have recently demonstrated strong performance for image restoration tasks, including super-resolution. However, their large model size and iterative sampling procedures make them computationally expensive for practical deployment. In this work, we present TOC-SR, a framework for building efficient one-step super-resolution models by first discovering a compact diffusion backbone. Starting from a sixteen-channel latent diffusion model, we construct parameter-efficient surrogate b
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
401. Mitigating Misalignment Contagion by Steering with Implicit Traits
Source: http://arxiv.org/abs/2605.02751v1 (2026)
Summary: Language models (LMs) are increasingly used in high-stakes, multi-agent settings, where following instructions and maintaining value alignment are critical. Most alignment research focuses on interactions between a single LM and a single user, failing to address the risk of misaligned behavior spreading between multiple LMs in multi-turn interactions. We find evidence of this phenomenon, which we call misalignment contagion, across multiple LMs as they engage multi-turn conversational social dil
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
402. Assessing Performance and Porting Strategies for Gravitational $N$-Body Simulations on the RISC-V-Based Tenstorrent Wormhole\textsuperscript{\texttrademark}
Source: http://arxiv.org/abs/2605.02744v1 (2026)
Summary: While RISC-V-based accelerators were initially designed with artificial intelligence applications in mind, they are increasingly being recognized as promising platforms for high performance scientific computing. In this work, we present three strategies for scaling an $N$-body code across multiple Tenstorrent Wormhole accelerators based on the RISC-V architecture. We assess the performance of these approaches by measuring both the execution time and the energy consumption required to complete a
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
403. Triple Spectral Fusion for Sensor-based Human Activity Recognition
Source: http://arxiv.org/abs/2605.02743v1 (2026)
Summary: The field of sensor-based human activity recognition (HAR) mainly uses posture, motion and context data of Inertial Measurement Units (IMUs) to identify daily activities. Despite the advancements in learning-based methods, it is challenging to perform information fusion from the temporal perspective due to the complexities in fusing heterogeneous sensor data and establishing long-term context correlations. This paper proposes a novel triple spectral fusion framework tailored for HAR. First, we d
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
404. AI-Generated Smells: An Analysis of Code and Architecture in LLM and Agent-Driven Development
Source: http://arxiv.org/abs/2605.02741v1 (2026)
Summary: The promise of Large Language Models in automated software engineering is often measured by functional correctness, overlooking the critical issue of long term maintainability. This paper presents a systematic audit of technical debt in AI-generated software, revealing that AI does not eliminate flaws but rather introduces a distinct machine signature of defects. Our multi-scale analysis, spanning single-file algorithmic tasks and complex, agent generated systems, identifies a fundamental Reason
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
405. Two-scale Neural Networks for Singularly Perturbed Dynamical Systems with Multiple Parameters
Source: http://arxiv.org/abs/2605.02799v1 (2026)
Summary: We extend our two-scale neural-network method for scalar singularly perturbed problems with one small parameter to dynamical systems with multiple small parameters. To accommodate multiple small parameters, we use a single effective scale parameter defined as the geometric mean of all parameters. We thus augment the network input with a scale-aware feature, enabling it to capture sharp solution transitions intrinsically. Numerical experiments across a range of dynamical systems demonstrate that
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
406. DynoSLAM: Dynamic SLAM with Generative Graph Neural Networks for Real-World Social Navigation
Source: http://arxiv.org/abs/2605.02759v1 (2026)
Summary: Traditional Simultaneous Localization and Mapping (SLAM) algorithms rely heavily on the static environment assumption, which severely limits their applicability in real-world spaces populated by moving entities, such as pedestrians. In this work, we propose DynoSLAM, a tightly-coupled Dynamic GraphSLAM architecture that integrates socially-aware Graph Neural Networks (GNNs) directly into the factor graph optimization. Unlike conventional approaches that use rigid constant-velocity heuristics or
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
407. ParaRNN: An Interpretable and Parallelizable Recurrent Neural Network for Time-Dependent Data
Source: http://arxiv.org/abs/2605.02692v1 (2026)
Summary: The proliferation of large-scale and structurally complex data has spurred the integration of machine learning methods into statistical modeling. Recurrent neural networks (RNNs), a foundational class of models for time-dependent data, can be viewed as nonlinear extensions of classical autoregressive moving average models. Despite their flexibility and empirical success in machine learning, RNNs often suffer from limited interpretability and slow training, which hinders their use in statistics.
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
408. Deciphering Shortcut Learning from an Evolutionary Game Theory Perspective
Source: http://arxiv.org/abs/2605.02658v1 (2026)
Summary: Shortcut learning causes deep learning models to rely on non-essential features within the data. However, its formation in deep neural network training still lacks theoretical understanding. In this paper, we provide a formal definition of core and shortcut features and employ evolutionary game theory to analyze the origins of shortcut bias by modeling data samples as players and their corresponding neural tangent features as strategies, assuming the existence of core and shortcut subnetworks. W
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
409. CNNs for Vis-NIR Chemometrics: From Contradiction to Conditional Design
Source: http://arxiv.org/abs/2605.02636v1 (2026)
Summary: Near-infrared (NIR; a.k.a.\ NIRS) deep-learning studies in chemometrics increasingly report mutually inconsistent conclusions regarding convolutional neural network (CNN) design, including small versus large kernels, shallow versus deep architectures, raw spectra versus preprocessing, and single-domain training versus transfer learning. As a result, the same architecture can appear superior in one study and inferior in another, creating a practical impasse for chemometric practitioners. In this
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
410. SCGNN: Semantic Consistency enhanced Graph Neural Network Guided by Granular-ball Computing
Source: http://arxiv.org/abs/2605.02617v1 (2026)
Summary: Capturing semantic consistency among nodes is crucial for effective graph representation learning. Existing approaches typically rely on $k$-nearest neighbors ($k$NN) or other node-level full search algorithms (FSA) to mine semantic relationships via exhaustive pairwise similarity computation, which suffer from high computational complexity and rigid neighbor selection, limiting scalability and introducing noisy connections. In this paper, we propose the Semantic Consistency enhanced Graph Neura
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
411. TRACED: In vivo imaging of extracellular intrinsic diffusivity, tortuosity, cell size distribution and cell density in human glioma patients
Source: http://arxiv.org/abs/2605.02615v1 (2026)
Summary: The lack of analytical models describing diffusion time dependence at intermediate time scales in complex tissue microstructure limits the accurate quantification of extracellular diffusivity and tissue microstructure. We introduce TRACED, a biophysical model that incorporates diffusion time dependence in cell distributions to quantify pathologically-relevant properties in solid tumors. Neural networks were trained on Monte Carlo diffusion simulations using sphere distribution-based geometries t
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
412. Universal Smoothness via Bernstein Polynomials: A Constructive Approximation Approach for Activation Functions
Source: http://arxiv.org/abs/2605.02591v1 (2026)
Summary: The efficacy of deep neural networks is heavily reliant on the design of non-linear activation functions, yet existing approaches often struggle to balance optimization stability with computational efficiency. While piecewise linear functions offer inference speed, they suffer from optimization instability due to non-differentiability at the origin, whereas smooth counterparts typically incur significant computational overhead through their reliance on transcendental operations. To address these
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
413. Low-Latency Embedded Driver Monitoring System with a Multi-Task Neural Network
Source: http://arxiv.org/abs/2605.02563v1 (2026)
Summary: Road traffic accidents remain a significant global concern, with the majority attributed to human factors such as driver distraction and fatigue. This study proposes a camera-based approach to derive useful indicators to assess driver attentiveness and alertness. The proposed pipeline jointly satisfies the stringent real-time requirements imposed by the critical application and minimizes the computational requirements to allow for deployment on a tight computational budget. To this end, we devel
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
414. Set-Based Training of Neural Barrier Certificates for Safety Verification of Dynamical Systems
Source: http://arxiv.org/abs/2605.02526v1 (2026)
Summary: Barrier certificates are scalar functions over the state space of dynamical systems that separate all unsafe states from all reachable states. The existence of a barrier certificate formally verifies the safety of the dynamical system. Recent approaches synthesize barrier certificates by iteratively training a neural network. In each iteration, the candidate is formally verified - if successful, the barrier certificate is found. Instead, we propose a set-based training approach that tightly inte
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
415. Physics-Informed Neural Learning for State Reconstruction and Parameter Identification in Coupled Greenhouse Climate Dynamics
Source: http://arxiv.org/abs/2605.02524v1 (2026)
Summary: Physics-informed neural networks (PINNs) have recently emerged as a promising framework for integrating data-driven learning with physical knowledge. In this work, we propose a coupled PINN approach for the joint reconstruction of indoor temperature and humidity dynamics in greenhouse environments, together with simultaneous identification of key model parameters. The method incorporates a reduced-order physically motivated model into the learning process, enabling consistent estimation under sp
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
416. Evaluating Tabular Representation Learning for Network Intrusion Detection
Source: http://arxiv.org/abs/2605.02519v1 (2026)
Summary: Classic Network Intrusion Detection Systems (NIDS) often rely on manual feature engineering to extract meaningful patterns from network traffic data. However, this approach requires domain expertise and runs counter to the widely adopted principle of modern machine learning and neural networks: that models themselves should learn meaningful representations directly from data. We investigate whether tabular representation learning techniques can improve intrusion detection performance by automati
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
417. Middle-mile logistics through the lens of goal-conditioned reinforcement learning
Source: http://arxiv.org/abs/2605.02461v1 (2026)
Summary: Middle-mile logistics describes the problem of routing parcels through a network of hubs linked by trucks with finite capacity. We rephrase this as a multi-object goal-conditioned MDP. Our method combines graph neural networks with model-free RL, extracting small feature graphs from the environment state.
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
418. Geometric Quantum Physics Informed Neural Network
Source: http://arxiv.org/abs/2605.02352v1 (2026)
Summary: Quantum physics-informed neural networks (QPINNs) have recently emerged as a promising framework for the solution of partial differential equations (PDEs), with several studies reporting improved convergence and accuracy relative to classical physics-informed neural networks (PINNs) at reduced training cost. Motivated by these advances, we introduce geometric quantum physics-informed neural networks (GQPINNs), a symmetry-aware extension of QPINNs in which the geometric structure of the underlyin
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
419. Differentiable Kernel Ridge Regression for Deep Learning Pipelines
Source: http://arxiv.org/abs/2605.02313v1 (2026)
Summary: Deep neural networks dominate modern machine learning, while alternative function approximators remain comparatively underexplored at scale. In this work, we revisit kernel methods as drop-in components for standard deep learning pipelines. We introduce \emph{Sparse Kernels} (SKs), a differentiable, localized, and lazy variant of kernel ridge regression (KRR) that defers training to inference time and reduces to the solution of small local systems. We integrate SKs into PyTorch as modular layers
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
420. Entanglement signature of fully and partially dimerized phases in frustrated spin chains
Source: http://arxiv.org/abs/2605.02581v1 (2026)
Summary: The von Neumann entanglement entropy of exact valence-bond ground states is studied in two frustrated one-dimensional spin chains: the spin-1/2 Majumdar-Ghosh (MG) model and the spin-3/2 J1-J2-J3 chain in its fully dimerized (FD) and partially dimerized (PD) phases. Using matrix-product-state representations, the entropy is computed as a function of system size for three complementary bipartitions - half-chain, single-site, and pairwise - under both open and periodic boundary conditions. In all
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
421. A general thermodynamic approach for diffusion on a lattice
Source: http://arxiv.org/abs/2605.02579v1 (2026)
Summary: This work presents a general thermodynamic approach to describe particle diffusion on a lattice, a model used to study transport processes in solids and on surfaces. By treating each lattice site as an open thermodynamic system, the effects of microscopic particle interactions are represented through the chemical potential. A fundamental relationship between the Onsager matrix (L) and its ideal-system counterpart (L_\text{id}, where interactions are neglected) using the determinant of the co
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
422. Inverse Materials Design via Joint Generation of Crystal Structures and Local Electronic Descriptors
Source: http://arxiv.org/abs/2605.01286v1 (2026)
Summary: Inverse design of inorganic crystals, in which structures are generated to satisfy a target property while preserving diversity and physical plausibility, remains more demanding than ab initio generation, as property conditioning can degrade the structural quality that current generative models otherwise achieve. We propose a diffusion framework that jointly denoises crystal-structure variables and site-resolved local electronic descriptors through a shared score network. As representative descr
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
423. Non-Equilibrium Thermodynamic Extremal Principles During Filament Formation in ECM Memristors
Source: http://arxiv.org/abs/2605.01087v1 (2026)
Summary: Electrochemical metallization (ECM) memristors have potential applications in future neuromorphic computing hardware. The set, reset, and variable-resistance features of these devices originate in the formation and breakup of metal filaments in a solid-state electrolyte. While the performance characteristics of these devices are widely investigated, the driving principles behind the morphology of the filament formation process remain unclear. In this study, we propose an approach motivated by th
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
424. A hidden bulk polymorph governs charge transport dimensionality in an organic semiconductor
Source: http://arxiv.org/abs/2605.01049v1 (2026)
Summary: Organic semiconductors (OSCs) are widely explored for flexible optoelectronic technologies, with performance governed not only by molecular design, but also by solid-state packing, which can give rise to polymorphism. Dinaphthothienothiophene (DNTT) is a benchmark OSC that has long been considered monomorphic. Here, we discover, isolate, and resolve the crystal structure of a previously unrecognised bulk polymorph of DNTT, termed blue DNTT owing to its characteristic blue emission. Coexisting wi
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
425. Influence of Coherent Elastic Strain on Phase Separation in BCC Nb-V Alloys
Source: http://arxiv.org/abs/2605.01031v1 (2026)
Summary: Coherent elastic strain is an important but often neglected contribution to phase-separation thermodynamics in alloy systems where decomposed phases have appreciable lattice mismatch. We develop a thermodynamic framework that incorporates coherent elastic compatibility directly into phase-diagram calculations alongside conventional CALPHAD chemical free energies. Applied to the BCC Nb-V system, the framework shows that coherent elasticity substantially suppresses phase separation, narrows the mi
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
426. Series solutions to the TOV equations
Source: http://arxiv.org/abs/2605.00986v1 (2026)
Summary: We present general series solutions to the Tolman-Oppenheimer-Volkoff equations for compact stellar objects. We develop an algorithm to compute the coefficients of the power series in terms of the equation of state and its derivatives with respect to the thermodynamic variables. Using these results, we establish general properties of analytic solutions and their relation to the regularity of the equation of state. Applying the theory of Padé approximants, we derive series representations for mer
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
427. Experimental Evidence of Fractional Entropy in Critical Kondo Systems
Source: http://arxiv.org/abs/2605.00669v1 (2026)
Summary: Unconventional quantum states defying the ubiquitous Fermi-liquid paradigm can emerge in the presence of strong electronic correlations. Among these, non-Abelian anyons - such as Majorana zero modes and Fibonacci anyons - are of particular interest for topological quantum computing due to their non-integer quantum dimensions d>1, which allows for protected non-local encoding and processing of quantum information. However, despite considerable efforts, the unambiguous characterisation of such any
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
428. The Mesoscopic Partition Function:A Combined Spatial and Phase-Space Cell Structure
Source: http://arxiv.org/abs/2605.00958v1 (2026)
Summary: We introduce a mesoscopic partition function for classical many-body systems based on a combined spatial and phase-space coarse-graining, replacing the canonical phase-space integral with a discrete sum over occupation numbers. The construction recovers the standard canonical partition function in the fine-graining limit. Our main result shows that factorisation of the mesoscopic partition function across spatial cells is equivalent to extensivity of the coarse-grained free energy, with deviatio
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
429. Which Coherence Decoheres? Basis-Dependent Decoherence Rates in Symmetry-Broken Collective Spin Systems
Source: http://arxiv.org/abs/2605.00952v1 (2026)
Summary: In the ordered phase of a $\mathbb{Z}_2$-symmetric collective spin system, two natural bases -- localised pointer states \{|P\rangle,|R\rangle\} and energy eigenstates \{|E_0\rangle,|E_1\rangle\} -- yield Lindblad dephasing rates that differ by a factor approaching 2 as N\to\infty and reaching 2.42 near the quantum-critical crossover. The discrepancy has a single algebraic origin: parity forces \langle E_i|\hat{J}_z|E_i\rangle=0 exactly, eliminating the cross-term that doubles the lo
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
430. XMAGNET -- Stir before serving: a Lagrangian perspective on mixing-driven condensation in the intracluster medium
Source: http://arxiv.org/abs/2605.00563v1 (2026)
Summary: We aim to characterize the thermodynamic and dynamical conditions leading to condensation in cluster cores, and to assess the role of magnetic fields. We implement a Monte-Carlo tracer particle algorithm in the GPU-accelerated code AthenaPK, and run a purely hydrodynamical and a magnetohydrodynamical (MHD) simulations of an idealized cool-core cluster. We identify the subset of hot ICM tracers that undergo a transition to the cold phase and reconstruct their histories over a lookback time of $30
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
431. Convergence of the Condensing Symmetric Inclusion Process on the Torus in the Thermodynamical Limit to Coalescing Brownian Motions
Source: http://arxiv.org/abs/2605.00542v1 (2026)
Summary: We investigate the saturation regime of the condensing symmetric inclusion process on the discrete one-dimensional torus in the thermodynamical limit. In this regime, the total mass concentrates on a finite number of sites, forming condensates. Our main result establishes that, under appropriate scaling, the positions of the condensates converge to a system of coalescing Brownian motions on the continuum torus. In particular, condensates perform diffusive motion until they meet, at which point t
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
432. Entropy from Entanglement in Quantum State Reduction
Source: http://arxiv.org/abs/2605.00485v1 (2026)
Summary: The Von Neumann entropy of reduced states is a measure of bipartite entanglement. Despite its name, the entanglement entropy cannot by itself be used as a resource for creating thermodynamic heat flows. In order to extract heat from an entangled pure state, it first needs to be converted into a stochastically mixed state by a process of quantum state reduction. Here we show that even in a system with only two degrees of freedom, for which bipartite entanglement is the sole form of entanglement a
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
433. Stochastic first-passage modeling of single-event burnout in SiC power MOSFETs
Source: http://arxiv.org/abs/2605.02478v1 (2026)
Summary: Single-event burnout (SEB) in silicon carbide (SiC) power MOSFETs is often characterized by deterministic threshold quantities. Near the boundary between recovery and runaway, stochastic variability can make this threshold description probabilistic rather than sharp. This work introduces a first-passage perspective for stochastic threshold broadening in burnout. The process is described by a reduced electrothermal feedback-relaxation model with an absorbing boundary. The model combines carrier m
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
434. Aging Record Statistics in Saturating Self-Interacting Random Walks
Source: http://arxiv.org/abs/2605.02433v1 (2026)
Summary: The record age tau_k, defined as the time between the k-th and k+1-st record-breaking events, is a central observable of extreme-value statistics. In Markovian processes, the absence of memory makes tau_k independent of k. How memory breaks this invariance and induces aging, meaning a dependence of tau_k on k, remains a fundamental question, closely connected to widely observed aging phenomena in non-Markovian dynamics. In this Letter, we derive the exact asymptotic distribution of tau_k for sat
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
435. Differentially Private Runtime Monitoring
Source: http://arxiv.org/abs/2605.02391v1 (2026)
Summary: Modern stream-based monitors collect detailed statistics of the runtime behavior of the system under observation. If the system runs in a privacy-sensitive context, this poses the risk of disclosing sensitive information. Differential privacy is the state-of-the-art approach for protecting sensitive information, however, integrating it into runtime monitoring is challenging: temporal operators can cause individual input values to influence multiple outputs over time, leading to repeated disclosu
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
436. A Large-Scale Observational Study on Obtaining Lightweight, Randomized Weekly Student Feedback
Source: http://arxiv.org/abs/2605.02281v1 (2026)
Summary: Conventional methods of obtaining student feedback on course experience face a fundamental tradeoff between feedback frequency and quality: as feedback requests become more frequent, participation often declines, and responses become less thoughtful over time. To obtain both timely and thoughtful feedback from students, Kim and Piech (Learning at Scale, 2023) recently proposed a simple, lightweight course feedback mechanism: surveying each student a small number of times per term during randomly
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
437. The Conversations Beneath the Code: Triadic Data for Long-Horizon Software Engineering Agents
Source: http://arxiv.org/abs/2605.02244v1 (2026)
Summary: Frontier software engineering agents have saturated short-horizon benchmarks while regressing on the work that constitutes senior engineering: long-horizon, multi-engineer, ambiguous-specification deliverables. This paper takes a position on what training data is needed to close the gap. The substrate for the next generation of SWE agents is neither larger GitHub scrapes nor more solo-agent trajectories nor -- sufficient by itself -- open human-AI dialogue logs. It is triadic data: synchronized
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
438. Lattice Gauge Theory and Wilson-Loop Confinement: A Statistical-Mechanical Survey
Source: http://arxiv.org/abs/2605.02156v1 (2026)
Summary: Wilson loops provide the central gauge-invariant probe of confinement in lattice gauge theory. This survey reviews the statistical-mechanical formulation of lattice gauge ensembles, the strong-coupling and duality mechanisms behind area laws, finite-temperature and continuum scaling diagnostics, and the mathematical status of Wilson-loop confinement.
| Symbol | Mapping |
|---|---|
| Ω | observed phenomenon / measured quantity |
| Ψ | theoretical mechanism / operator |
| B | conserved basis / fundamental component |
| C | dynamic context / variable parameter |
| Δ | residual error / noise / uncertainty |
439. Mobility Anisotropy Reshapes Self-Propelled Motion
Source: http://arxiv.org/abs/2605.02148v1 (2026)
Summary: We exactly solve the nonequilibrium dynamics of a harmonically trapped self-propelled particle with anisotropic translational mobility in two dimensions, relevant to rodlike microswimmers and wheeled robots. The mean displacement and MSD reveal a quasi-steady plateau with vanishing fluctuations in the high-persistence regime. An exact calculation of steady-state fourth moment yields a negative excess kurtosis that varies non-monotonically with the ratio of mechanical to rotational relaxation tim
| Symbol | Mapping |
|---|---|
| Ω | observed phenomenon / measured quantity |
| Ψ | theoretical mechanism / operator |
| B | conserved basis / fundamental component |
| C | dynamic context / variable parameter |
| Δ | residual error / noise / uncertainty |
440. Separability from Multipartite Measures
Source: http://arxiv.org/abs/2605.02097v1 (2026)
Summary: We show that the third-order negativity provides a necessary and sufficient criterion for full separability of tripartite pure states, and extend this to mixed states beyond bipartite diagnostics such as negativity. As a minimal nontrivial example, a four-qubit pure state has three-qubit mixed reductions; its complete characterization requires six bipartite, eight tripartite, and four quadripartite measures, with the third-order negativity serving as a key separability criterion. We further gene
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
441. Enhanced LLM Reasoning by Optimizing Reward Functions with Search-Driven Reinforcement Learning
Source: http://arxiv.org/abs/2605.02073v1 (2026)
Summary: Mathematical reasoning is a key benchmark for large language models. Reinforcement learning is a standard post-training mechanism for improving the reasoning capabilities of large language models, yet performance remains sensitive to the design of the reward function that drives policy optimization. This paper introduces a search-driven framework that treats the reward specification itself as an object of optimization. The setting of interest is one in which the base model is held fixed and the
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
442. Multiscale computational approaches to magnetic behaviour in Cobalt Ferrite (CoFe$_2$O$_4$) nanostructures
Source: http://arxiv.org/abs/2605.02065v1 (2026)
Summary: Cobalt ferrite (CoFe$_2$O$_4$) is a prototypical ferrimagnetic spinel oxide whose exceptional magnetic anisotropy, magnetoelastic coupling, and thermal stability underpin applications in spintronics, magnetic hyperthermia, energy harvesting, and catalysis. This chapter presents a comprehensive computational framework that integrates electronic$-$structure calculations with atomistic spin modeling, statistical mechanics, and continuum micromagnetics to predict magnetic functionality across length
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
443. DR-SNE: Density-Regularized Stochastic Neighbor Embedding
Source: http://arxiv.org/abs/2605.02060v1 (2026)
Summary: Dimensionality reduction methods such as t-SNE are designed to preserve local neighborhood structure but do not explicitly account for how probability mass is distributed, often leading to distortions of data density. We reformulate dimensionality reduction as the joint alignment of two components: (i) conditional structure, capturing local relationships, and (ii) relative density structure, captured via local density statistics. Based on this perspective, we introduce Density-Regularized SNE (D
| Symbol | Mapping |
|---|---|
| Ω | observed phenomenon / measured quantity |
| Ψ | theoretical mechanism / operator |
| B | conserved basis / fundamental component |
| C | dynamic context / variable parameter |
| Δ | residual error / noise / uncertainty |
444. Construction of Quantum Rank-Metric Codes Using Hermitian Orthogonality
Source: http://arxiv.org/abs/2605.02571v1 (2026)
Summary: Stacked quantum memory is an architecture in which multiple layers of qubits are stacked. Quantum rank-metric codes are effective for error correction in stacked quantum memories. However, the previously proposed quantum Gabidulin codes based on the CSS construction had a problem: due to algebraic constraints, the applicable memory layouts were strictly limited to square shapes of odd length. In this paper, we first propose a framework for constructing quantum rank-metric codes from classical li
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
445. Graphons, Geometry, and Dynamics: Forward and Inverse Perspectives
Source: http://arxiv.org/abs/2605.02514v1 (2026)
Summary: In this work, we explore the interplay between graph limit theory, the geometry of underlying probability spaces, spectral theory, and network dynamical systems. We investigate two primary questions concerning forward and inverse perspectives: first, whether a graphon retains information about the geometry of the space on which it is defined, and second, whether spectral properties can distinguish graphons that originate from different geometric spaces. To address these questions, we differentia
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
446. Computability Limits of Sequential Hypothesis Testing
Source: http://arxiv.org/abs/2605.02501v1 (2026)
Summary: Sequential hypothesis testing asks for decision rules that update as data arrive. A natural goal is \emph{eventual correctness}: the rule may change its mind early on, but it should make only finitely many wrong decisions almost surely. Starting from Cover's theorem, which guarantees such behavior for membership in a countable set of candidate means, we ask a sharper question: \emph{which sets actually admit computable sequential decision procedures with finitely many errors?} We answer this opt
| Symbol | Mapping |
|---|---|
| Ω | observed phenomenon / measured quantity |
| Ψ | theoretical mechanism / operator |
| B | conserved basis / fundamental component |
| C | dynamic context / variable parameter |
| Δ | residual error / noise / uncertainty |
447. Reduced-Feedback Hybrid Precoding for Wideband mmWave MIMO-OFDM Systems
Source: http://arxiv.org/abs/2605.02418v1 (2026)
Summary: In this paper, we propose a feedback-efficient hybrid precoding framework for wideband millimeter-wave (mmWave) multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems. To mitigate the high cost of radio frequency (RF) chains and channel state information (CSI) feedback in large-scale antenna arrays, we first construct frequency-flat analog precoders by extracting dominant angle-of-arrival (AoA) and angle-of-departure (AoD) directions from sparse frequency-d
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
448. Dueling DDQN-Based Adaptive Multi-Objective Handover Optimization for LEO Satellite Networks
Source: http://arxiv.org/abs/2605.02416v1 (2026)
Summary: In this paper, we propose a dueling double deep Q-network (DDQN)-based adaptive multi-objective handover framework for LEO satellite networks. The proposed method enables dynamic trade-off learning among throughput, blocking probability, and switching cost under time-varying network conditions. Simulation results demonstrate that the proposed approach consistently outperforms conventional baselines, achieving up to 10.3% throughput improvement and near-zero blocking under typical operating condi
| Symbol | Mapping |
|---|---|
| Ω | observed phenomenon / measured quantity |
| Ψ | theoretical mechanism / operator |
| B | conserved basis / fundamental component |
| C | dynamic context / variable parameter |
| Δ | residual error / noise / uncertainty |
449. Modal-Based Multi-Scatterer Channel Model for Localized Radiomap Extrapolation
Source: http://arxiv.org/abs/2605.02401v1 (2026)
Summary: A radiomap, representing the spatial distribution of wireless signal strength within a specific region, is fundamentally determined by the local propagation channel and finds extensive applications in network planning and optimization. The channel model is inherently linked to electromagnetic (EM) wave propagation, and the advent of high-frequency communications presents a new picture - microscopic (and thus negligible) scatterers in lower frequency bands become mesoscopic, rendering non-negligi
| Symbol | Mapping |
|---|---|
| Ω | confinement / energy |
| Ψ | guiding center / symmetry |
| B | coil geometry |
| C | plasma pressure |
| Δ | perturbation / ripple |
450. Optimal Privacy-Utility Trade-Offs in LDP: Functional and Geometric Perspectives
Source: http://arxiv.org/abs/2605.02319v1 (2026)
Summary: Local differential privacy (LDP) has emerged as a gold-standard framework for privacy-preserving data analysis. However, characterizing the optimal privacy-utility trade-off (PUT) and the corresponding optimal LDP channels remains largely fragmented, relying on problem-specific, case-by-case analyses. In this work, we develop a unified theoretical framework that systematically characterizes the optimal PUT and optimal LDP channels for general privacy-preserving statistical decision-making proble
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
451. The AECM Algorithm for Deterministic Maximum Likelihood Direction Finding in the Presence of Gaussian Mixture Noise
Source: http://arxiv.org/abs/2605.02309v1 (2026)
Summary: Gaussian mixture noise can model non-Gaussian noise and also be used when outliers are present. For deterministic maximum likelihood direction finding in Gaussian mixture noise, the Space-Alternating Generalized Expectation-maximization (SAGE) algorithm, an extension of the expectation-maximization algorithm, was applied and designed by Kozick and Sadler twenty odd years ago, which simultaneously updates direction of arrival (DOA) estimates at each iteration and cannot properly converge under un
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
452. SOTOPIA-TOM: Evaluating Information Management in Multi-Agent Interaction with Theory of Mind
Source: http://arxiv.org/abs/2605.02307v1 (2026)
Summary: As LLM-based agents are increasingly interacting in multi-party settings, they need to properly handle information asymmetry, i.e., knowing when and to whom to disclose information is appropriate. Yet, existing benchmarks fail to measure this ability in realistic multi-party settings. Thus, we introduce SOTOPIA-TOM, a multi-dimensional benchmarking framework to evaluate LLM agents' ability to successfully navigate information asymmetric and privacy sensitive multi-party interactions. We create a
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
453. Semantic Ordered Statistics Decoding
Source: http://arxiv.org/abs/2605.02296v1 (2026)
Summary: We propose a Semantic Ordered Statistics Decoder (sem-OSD), a soft decoder for short linear block codes carrying byte-streamed sources such as natural-language text. Sem-OSD injects a byte-level language-model (LM) prior into ordered statistics decoding (OSD) through a fused bit-level score that combines channel reliability with the LM prior, and uses it for the most-reliable basis (MRB) selection and the codeword candidate scoring. Sem-OSD enumerates two complementary test-error-pattern (TEP) f
| Symbol | Mapping |
|---|---|
| Ω | observed phenomenon / measured quantity |
| Ψ | theoretical mechanism / operator |
| B | conserved basis / fundamental component |
| C | dynamic context / variable parameter |
| Δ | residual error / noise / uncertainty |
454. Perfect state transfer in Grover walks on dihedral Cayley graphs
Source: http://arxiv.org/abs/2605.02254v1 (2026)
Summary: The paper investigates perfect state transfer (PST) in Grover walks on Cayley graphs over the dihedral group D_n. The Grover walk is a discrete-time quantum walk widely studied in quantum information processing. A Cayley graph \operatorname{Cay}(Γ,S) is called normal if S is the union of some conjugacy classes of the group Γ; otherwise, it is called non-normal. Most existing studies have been restricted to Cayley graphs over abelian groups. In contrast, we investigate both normal and non
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
455. The Causal Description Gap: Information-Theoretic Separations Across Pearl's Hierarchy
Source: http://arxiv.org/abs/2605.02177v1 (2026)
Summary: Pearl's causal hierarchy shows that observational, interventional, and counterfactual queries are qualitatively distinct. We ask a quantitative version of this question: how many additional bits are needed to specify higher-rung causal answers once lower-rung answers are known? We formalize this via query-class description length, the Kolmogorov complexity of the answer oracle induced by an SCM for a class of queries. Our main construction gives binary acyclic SCMs whose observational distributi
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
456. Entropic Strict Minimum Message Length and Its Connections to PAC-Bayes and NML
Source: http://arxiv.org/abs/2605.02099v1 (2026)
Summary: We introduce entropic strict minimum message length (SMML), a risk-sensitive generalization of strict minimum message length coding. The proposed criterion replaces expected two-part codelength under the prior predictive distribution with an exponential certainty equivalent, thereby defining a one-parameter family of coding rules that interpolates between Bayesian average-case coding and worst-case minimax coding. We show that ordinary SMML is recovered in the risk-neutral limit, while the extre
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
457. Sharp regret-Hellinger bounds for Gaussian empirical Bayes via polynomial approximation
Source: http://arxiv.org/abs/2605.02070v1 (2026)
Summary: A central problem in the theory of empirical Bayes is to control the regret (excess risk) of a learned Bayes rule by the Hellinger distance between the estimated and true marginal densities. In the normal means model, the classical result of Jiang and Zhang (2009, Annals of Statistics) achieves this only after regularizing the Bayes rule and incurs an extraneous cubic logarithmic factor through a delicate recursive argument. This paper introduces a new technique, based on polynomial approximat
| Symbol | Mapping |
|---|---|
| Ω | observed phenomenon / measured quantity |
| Ψ | theoretical mechanism / operator |
| B | conserved basis / fundamental component |
| C | dynamic context / variable parameter |
| Δ | residual error / noise / uncertainty |
458. Exponential speedups in fault-tolerant processing of quantum experiments
Source: http://arxiv.org/abs/2605.02057v1 (2026)
Summary: Quantum information processing has the potential to substantially enhance how we learn from physical experiments, but coupling a quantum processor to an experimental sample introduces noise that can exponentially degrade learning even when the processor itself is fault-tolerant. In this work, we show that fault tolerance can nevertheless be leveraged to recover exponential speedups by embedding the unknown system into an arbitrarily high-distance quantum code with only constant error overhead an
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
459. Optimization of CV-QKD Under Practical Constraints
Source: http://arxiv.org/abs/2605.02045v1 (2026)
Summary: Using reinforcement learning, we optimize for practical hardware constraints, including limited FIR filter taps at the transmitter and receiver, mean photon number and finite DAC/ADC resolution. Under these realistic conditions, the proposed approach achieves significant performance improvements.
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
460. Channel-coded Over-the-Air Computation
Source: http://arxiv.org/abs/2605.02025v1 (2026)
Summary: This letter studies channel coding for over-the-air computation (AirComp). AirComp enables efficient wireless data aggregation, where computation accuracy is the key performance metric. However, this accuracy is sensitive to channel impairments. As a promising solution, the role of channel coding in AirComp has been largely unexplored, creating a critical gap in achieving reliable AirComp systems. To address this, we propose a novel channel coding scheme tailored for AirComp that preserves the a
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
461. Benchmarking Wireless Representations: High-Dimensional vs. Compressed Embeddings for Efficiency and Robustness
Source: http://arxiv.org/abs/2605.02009v1 (2026)
Summary: Building on recent advances in representation learning for wireless channels, this work investigates the cost-benefit trade-offs of high-dimensional channel embeddings in practical systems. We benchmark multiple wireless representations: high-dimensional learned embeddings from a wireless foundation model, compact autoencoder-based representations with significantly lower dimensionality, and raw data baselines, evaluating their performance across diverse downstream tasks. We then systematically
| Symbol | Mapping |
|---|---|
| Ω | observed phenomenon / measured quantity |
| Ψ | theoretical mechanism / operator |
| B | conserved basis / fundamental component |
| C | dynamic context / variable parameter |
| Δ | residual error / noise / uncertainty |
462. Real-Time Text Transmission via LLM-Based Entropy Coding over Fixed-Rate Channels
Source: http://arxiv.org/abs/2605.01991v1 (2026)
Summary: Learning, prediction, and compression are intimately connected: a model that accurately predicts the next symbol in a sequence can be coupled with a source coder to compress that sequence near its information-theoretic limit. When tokenized characters arriving at a fixed reading pace are encoded into variable-length codewords and streamed over a fixed-rate channel, a queue forms whose per-token delay depends on the mean and variance of the bit lengths and on the coder's algorithmic latency. This
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
463. Combinatorial Analysis of Dyadic and Quasi-Dyadic Codes
Source: http://arxiv.org/abs/2605.01942v1 (2026)
Summary: Quantum low-density parity-check (QLDPC) codes offer a promising route to scalable fault-tolerant quantum computation, but their performance under iterative decoding is strongly influenced by short-cycle structure and other harmful subgraphs in the associated Tanner graphs. This paper develops an algebraic framework for constructing and analyzing (Q)LDPC codes from dyadic and quasi-dyadic matrices-translation-invariant 2^\ell \times 2^\ell binary matrices specified compactly by a signature row
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
464. SwiftChannel: Algorithm-Hardware Co-Design for Deep Learning-Based 5G Channel Estimation
Source: http://arxiv.org/abs/2605.01931v1 (2026)
Summary: Channel estimation is crucial in 5G communication networks for optimizing transmission parameters and ensuring reliable, high-speed communication. However, the use of multiple-input and multiple-output (MIMO) and millimeter-wave (mmWave) in 5G networks presents challenges in achieving accurate estimation under strict latency requirements on resource-limited hardware platforms. To address these challenges, we propose SwiftChannel, an algorithm-hardware co-design framework that integrates a hardwa
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
465. Evolving Token Communication with Parametric Memory Network
Source: http://arxiv.org/abs/2605.01869v1 (2026)
Summary: Token communication has emerged as a promising framework for efficient wireless transmission by representing source data as compact semantic tokens. However, transmitting full semantic tokens still incurs considerable communication overhead. In this paper, we propose an evolving semantic token communication system with a parametric memory network over MIMO fading channels. Specifically, only an equal-length prefix of each semantic token is transmitted, which reduces transmission cost while prese
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
466. Optimal Communication Rate of Secure Aggregation over Ring Networks with Pairwise Keys
Source: http://arxiv.org/abs/2605.01849v1 (2026)
Summary: Information-theoretic topological secure aggregation (TSA)\cite{zhang2026information_regular} enables distributed users to compute neighborhood sums over arbitrary networks without revealing individual inputs, while remaining communication-efficient. It has broad applications, including secure model aggregation in decentralized federated learning (FL). Existing TSA formulations rely on arbitrarily correlated keys generated by a trusted key server, which introduces a single point of failure. In t
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
467. Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality
Source: http://arxiv.org/abs/2605.01907v1 (2026)
Summary: We study clustered multitask learning in a semiparametric setting where tasks share a latent cluster structure in their target parameters but exhibit heterogeneous, potentially infinite-dimensional nuisance components. Such heterogeneity poses a major challenge for existing multitask learning methods, which typically rely on aligned feature spaces or homogeneous task structures. To address this challenge, we propose an adaptive fused orthogonal estimator that integrates Neyman-orthogonal losses
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
468. Surface segregation of liquid metal plasma-facing component alloys: A ReaxFF investigation
Source: http://arxiv.org/abs/2605.01863v1 (2026)
Summary: Engineering liquid metal alloys offers a transformative pathway for plasma-facing components (PFC) by enabling chemically tailored surfaces that can simultaneously optimize plasma-material interactions, reduce divertor heat flux, and enhance core plasma confinement, thereby advancing the commercial viability of nuclear fusion power plants. This study, employing an atomistic simulation framework, provides direct evidence that incorporating non-metal surface-active agents (such as O and H, or thei
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
469. Physics-Guided Deep Learning For High Resolution X-ray Imaging
Source: http://arxiv.org/abs/2605.01543v1 (2026)
Summary: Imperfections in X-ray imaging systems can limit their performance, especially in High Energy Density (HED) or Inertial Fusion Energy (IFE)-relevant experiments that are typically single shot, by introducing structured, non-stationary features that overlap with the signal of interest. When the X-ray transmission is reconstructed by typical flat-field normalization, even small shot-to-shot drift of structured features imprints residual patterns onto transmission maps, degrading signal visibility
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
470. Energy-Aware Quantum-Enhanced Computing Continuum
Source: http://arxiv.org/abs/2604.28041v1 (2026)
Summary: We discuss a Quantum-Enhanced Computing Continuum, a heterogeneous, hybrid architecture that integrates quantum processing units (QPUs) within an Edge-Cloud-HPC fabric. Promote sustainability by shifting from performance to "energy-aware integration.' The architecture has three layers: a Physical Layer with shared fiber-optic infrastructure, a Control and Orchestration Layer managed by the user, and an Application Layer with an Adaptive Quantum Classical Fusion (AQCF) framework. Tighter system i
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
471. Human-in-the-Loop Meta Bayesian Optimization for Fusion Energy and Scientific Applications
Source: http://arxiv.org/abs/2605.00068v1 (2026)
Summary: Inertial Confinement Fusion (ICF) holds transformative promise for sustainable, near-limitless clean energy, yet remains constrained by prohibitively high costs and limited experimental opportunities. This paper presents Human-in-the-Loop Meta Bayesian Optimization (HL-MBO), a framework that integrates expert knowledge with few-shot, uncertainty-aware machine learning to accelerate discovery in data-scarce, high-stakes scientific domains. HL-MBO introduces a meta-learned surrogate model with an
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
472. A theoretical account of tiny multi-Higgs vacuum expectation values from non-invertible symmetry
Source: http://arxiv.org/abs/2604.27612v1 (2026)
Summary: We propose a novel mechanism to explain the naturally small vacuum expectation values (VEVs) of exotic multi-Higgs fields by employing non-invertible symmetries. Specifically, we introduce an SU(2)_L quartet H_4 and a quintet H_5 within the framework of the minimal Fibonacci fusion rule (FFR). This non-invertible symmetry strictly forbids the generation of tree-level VEVs for these exotic fields. However, once the symmetry is broken, these VEVs are generated radiatively at the one-loop lev
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
473. Fuelling fusion plasmas with pellets: Can neuromorphic control outperform Sigma-Delta modulation?
Source: http://arxiv.org/abs/2604.26476v1 (2026)
Summary: Nuclear fusion is a promising clean energy source in which deuterium and tritium fuse inside a magnetically confined plasma in a tokamak, releasing energy. A key challenge on the route to practical nuclear fusion is the control of the plasma density which has to be done through adding fuel in the form of deuterium and tritium to the plasma. Pellet injection, firing frozen fuel into the plasma, is used to accomplish this. Since the injection of a pellet causes an almost instantaneous increase in
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
474. Nitrogen-induced ELM suppression and confinement improvement in the EAST tokamak with a full metal wall
Source: http://arxiv.org/abs/2604.26403v1 (2026)
Summary: This paper reports the achievement of an ELM-free H-mode regime with confinement improvement enabled by nitrogen (N2) seeding on the Experimental Advanced Superconducting Tokamak (EAST) with a full metal wall. Following N2 injection, large Edge-Localized Mode (ELM) bursts are completely suppressed, while global energy confinement is significantly enhanced, with the H98 factor increasing from approximately 0.9 to 1.2. A distinct edge coherent mode (ECM), localized at the pedestal foot (psi_N ~ 0.
| Symbol | Mapping |
|---|---|
| Ω | confinement / energy |
| Ψ | guiding center / symmetry |
| B | coil geometry |
| C | plasma pressure |
| Δ | perturbation / ripple |
475. FusionCIM: Accelerating LLM Inference with Fusion-Driven Computing-in-Memory Architecture
Source: http://arxiv.org/abs/2604.25317v1 (2026)
Summary: In this paper, we propose FusionCIM, an operator-fusion-driven compute-in-memory (CIM) accelerator architecture for efficient and scalable LLM inference, with three key innovations: (1) a hybrid CIM pipeline architecture that maps QKT computation on inner-product-based CIM (IP-CIM) and PV aggregation on outer-product-based CIM (OP-CIM) for efficient matrix multiplications fusion; (2) a QO-stationary dataflow that eliminates repeated KV loading in CIM and K-matrix access in buffer under transpose
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
476. Microstructure engineering of Ti-6Al-4V in laser powder bed fusion via 1D thermal modeling and supporting experiments
Source: http://arxiv.org/abs/2604.24669v1 (2026)
Summary: The microstructure of Ti-6Al-4V has a decisive impact on its mechanical performance; however, controlling phase composition during Laser Powder Bed Fusion (LPBF) remains difficult because of the inherent localized and cyclic thermal history. To fully leverage the design flexibility of LPBF while maintaining an efficient process, it is desirable to tailor the microstructure directly through process-parameter optimization rather than relying on post-processing or in-situ heat treatments. Neverthel
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
477. IMPA-Net: Meteorology-Aware Multi-Scale Attention and Dynamic Loss for Extreme Convective Radar Nowcasting
Source: http://arxiv.org/abs/2604.24224v1 (2026)
Summary: Short-range prediction of convective precipitation from weather radar observations is essential for severe weather warnings. However, deep learning models trained with pixel-wise error metrics tend to produce overly smooth forecasts that suppress intense echoes critical for hazard detection. This issue is exacerbated by insufficient multi-scale feature interaction and suboptimal fusion of heterogeneous geophysical inputs. We propose IMPA-Net (Integrated Multi-scale Predictive Attention Network),
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
478. AI Hastens Limits to Exponential Growth
Source: http://arxiv.org/abs/2604.23026v1 (2026)
Summary: At any sustained positive growth rate of energy demand, depletion of all terrestrial energy resources, including non-renewable deuterium fusion and renewable solar, occurs within a remarkably compressed period. The time to depletion is inversely proportional to the demand growth rate. Artificial Intelligence (AI) has the potential to increase the growth rate of electricity from three percent per year to fifteen percent per year, effectively collapsing multi-millennial expansion timelines into de
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
479. Operational Feature Fingerprints of Graph Datasets via a White-Box Signal-Subspace Probe
Source: http://arxiv.org/abs/2604.22676v2 (2026)
Summary: Graph neural networks achieve strong node-classification accuracy, but learned message passing entangles ego attributes, neighborhood smoothing, high-pass graph differences, class geometry, and classifier-boundary effects inside opaque representations. This obscures why nodes are classified as they are and which graph-learning mechanisms a dataset requires. We propose WG-SRC, a white-box signal-subspace probe for prediction and graph dataset diagnosis. WG-SRC replaces learned message passing w
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
480. Scaling laws of multi-shock implosions toward the quasi-isentropic limit
Source: http://arxiv.org/abs/2604.22592v1 (2026)
Summary: We present a unified theoretical and numerical framework for self-similar multi-shock implosions achieving ultrahigh compression in a uniform solid spherical target. Extending the classical Guderley model to N stacked, spherically converging shocks, we derive selfsimilar solutions and the scaling law for the final density. One dimensional Lagrangian hydrodynamic simulations confirm this relation over a broad range of parameters, from the weakly to the strongly nonlinear regime. The results show
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
481. Fusion of light nuclei in a multicluster realization of the three-body problem
Source: http://arxiv.org/abs/2604.22537v1 (2026)
Summary: This work describes a few-body dynamics method based on the Faddeev integral equations in momentum space for determining the total cross sections of fusion and breakup reactions with two- and three-body final channels in the continuum, employing a cluster representation of the colliding nuclei. Total cross sections were obtained for the reactions ^3\text{He}(T,D)^4\text{He}, ^3\text{He}(T,np)^4\text{He}, ^3\text{He}(T,nD)^3\text{He}, ^3\text{He}(^3\text{He},2p)^4\text{He}, $^3\text{He}(^
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
482. WPGRec: Wavelet Packet Guided Graph Enhanced Sequential Recommendation
Source: http://arxiv.org/abs/2604.21305v1 (2026)
Summary: Sequential recommendation aims to model users' evolving interests from noisy and non-stationary interaction streams, where long-term preferences, short-term intents, and localized behavioral fluctuations may coexist across temporal scales. Existing frequency-domain methods mainly rely on either global spectral operations or filter-based wavelet processing. However, global spectral operations tend to entangle local transients with long-range dependencies, while filter-based wavelet pipelines may
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
483. Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models
Source: http://arxiv.org/abs/2604.21952v1 (2026)
Summary: This work presents a multi-layered methodology for efficiently accelerating multimodal foundation models (MFMs). It combines hardware and software co-design of transformer blocks with an optimization pipeline that reduces computational and memory requirements. During model development, it employs performance enhancements through fine-tuning for domain-specific adaptation. Our methodology further incorporates hardware and software techniques for optimizing MFMs. Specifically, it employs MFM compr
| Symbol | Mapping |
|---|---|
| Ω | behavior / cognition |
| Ψ | network coordination |
| B | neural circuits |
| C | task / stimulus |
| Δ | neural noise |
484. Development of Anisotropic Magnetized Viscosity for Magnetized Liner Inertial Fusion Simulations in FLASH
Source: http://arxiv.org/abs/2604.21149v1 (2026)
Summary: Magnetized liner inertial fusion (MagLIF) operates in a regime where anisotropic transport phenomena fundamentally influence implosion dynamics. In strongly magnetized plasmas, the viscous stress tensor becomes highly anisotropic, yet no prior work has incorporated or examined magnetized viscosity effects in MagLIF configurations. We present the first implementation of the full Braginskii magnetized viscosity tensor for arbitrary magnetic field orientations in the Pacific Fusion branch of FLASH.
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
485. A Hybridizable Neural Time Integrator for Stable Autoregressive Forecasting
Source: http://arxiv.org/abs/2604.21101v2 (2026)
Summary: For autoregressive modeling of chaotic dynamical systems over long time horizons, the stability of both training and inference is a major challenge in building scientific foundation models. We present a hybrid technique in which an autoregressive transformer is embedded within a novel shooting-based mixed finite element scheme, exposing topological structure that enables provable stability. For forward problems, we prove preservation of discrete energies, while for training we prove uniform boun
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
486. A computational alloy design framework for the promotion of amorphous grain boundary complexions
Source: http://arxiv.org/abs/2604.20547v1 (2026)
Summary: Amorphous grain boundary complexions have been shown to be radiation tolerant interfaces that can also reduce grain boundary embrittlement, marking them as favorable microstructural features. However, the incorporation of these features into new alloy systems is often a slow and arduous process based on trial and error. Here, a computational framework for alloy design is presented which enables the selection of dopants that promote the formation of amorphous grain boundary complexions. This fram
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
487. Descriptor: A Hybrid Indoor and Indoor-Outdoor Positioning Multi-Technology Dataset (HYMN)
Source: http://arxiv.org/abs/2604.20349v1 (2026)
Summary: This article introduces the HYMN (HYbrid Multi-technology Navigation) dataset: a multi-system, and time synchronized dataset for localization research based on opportunistic signals collected in an indoor-outdoor scenario. HYMN comprises measurement data collected in an industrial hall setting for five different positioning systems including Ultra-Wideband (UWB), Bluetooth Low Energy (BLE), WiFi, 5G, and Global Navigation Satellite System (GNSS). Unlike existing datasets that focus on single tec
| Symbol | Mapping |
|---|---|
| Ω | confinement / energy |
| Ψ | guiding center / symmetry |
| B | coil geometry |
| C | plasma pressure |
| Δ | perturbation / ripple |
488. Symmetry breaking phases and transitions in an Ising fusion category lattice model
Source: http://arxiv.org/abs/2604.20201v1 (2026)
Summary: An anyon-chain-like lattice model with symmetry described by the Ising fusion category is studied. Combining numerical and analytical studies, we uncover a rich phase diagram that contains three phases: a symmetric critical phase and two categorical symmetry breaking phases. The symmetric phase lies in the same universality class as the usual critical Ising model. The first symmetry-breaking phase, dubbed the \emph{categorical ferromagnetic} phase, has the Ising fusion category fully broken and
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
489. Prospects for measuring exclusive diffractive η,η' at the LHC
Source: http://arxiv.org/abs/2604.20037v1 (2026)
Summary: Central exclusive diffractive production in proton-proton collisions at hadron colliders is characterised by hadronic activity at or close to midrapidity, and by the two forward scattered protons, or their remnants. In such events, no particles are produced between the midrapidity system and the forward beam particles. These events can hence be identified with appropriately placed detectors for measuring the forward scattered protons, or their remnants, and a detector system covering
| Symbol | Mapping |
|---|---|
| Ω | confinement / energy |
| Ψ | guiding center / symmetry |
| B | coil geometry |
| C | plasma pressure |
| Δ | perturbation / ripple |
490. Multiscale Assessment of Tritium Behavior in Preliminary Fusion Pilot Plant Design Using Surrogate Models in TMAP8
Source: http://arxiv.org/abs/2604.19647v1 (2026)
Summary: The complexity and significance of multiscale phenomena in fusion energy systems make advanced modeling necessary for designing, optimizing, and safely deploying fusion plants. Tritium accountancy is one of those challenges for deuterium-tritium fusion systems. Its availability is constrained by its short half-life (12.33 years) and limited natural abundance, which require fusion plants to breed tritium onsite. Therefore, accurate tritium accountancy is essential for effective resource managemen
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
491. Theoretical estimates for the synthesis of Z=119 superheavy nuclei with Ca, Ti, V, and Cr projectiles: effects of reaction Q values and mass-model dependence
Source: http://arxiv.org/abs/2604.19325v1 (2026)
Summary: Fusion reactions with 48Ca beams, which have been used for synthesis of Z \le 118 nuclei, face practical limitations for the synthesis of nuclei with Z \ge 119 because of the limited availability of suitable target nuclei. We estimate evaporation-residue (ER) cross sections for the reactions 48Ca + 254Es, 50Ti + 249Bk, 51V + 248Cm, and 54Cr + 243Am and examine the role of nuclear-mass-model uncertainties. We employ a hybrid framework for the three stages of the fusion reaction. The capture s
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
492. A Low-Frequency, Autoresonant Wireless Power Transfer Link for Bidirectional Bionic Interfaces
Source: http://arxiv.org/abs/2605.01828v1 (2026)
Summary: To provide multimode sensory feedback and motion control, bidirectional bionic interfaces for advanced prosthetic systems require continuous and secure energy delivery to implantable electronics and integration in the sensing WBAN (Wireless Body Area Network) of the patient. However, powering such interfaces is still an open issue. Wireless Power Transfer (WPT) avoids implanted batteries and transcutaneous connections, but its design is constrained by stringent requirements on electromagnetic sa
| Symbol | Mapping |
|---|---|
| Ω | measured eigenvalue |
| Ψ | quantum evolution / collapse |
| B | quantum state basis |
| C | measurement apparatus |
| Δ | uncertainty / decoherence |
493. On the role of crack electrolyte wetting in the degradation and performance of battery active particles
Source: http://arxiv.org/abs/2605.01806v1 (2026)
Summary: Cathode particle fracture is widely recognised as a major degradation mechanism in lithium-ion batteries, yet cracking also permits electrolyte wetting of newly exposed internal surfaces, modifying interfacial reaction pathways. The mechanistic role of electrolyte wetting in redistributing reactions within cracked particles remains unclear. Here, we isolate this effect through a controlled comparison between (i) a fully coupled electro-chemo-mechanical model resolving lithium concentration, elec
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
494. Operator-Theoretic and physics-guided Sequence Modeling of Lithium-Ion Battery Voltage Dynamics
Source: http://arxiv.org/abs/2605.01693v1 (2026)
Summary: Lithium-ion batteries exhibit nonlinear voltage dynamics across varying operating conditions and aging states, making accurate modeling essential for estimation, control, and health monitoring. This work compares two data-driven frameworks for modeling voltage responses from hybrid pulse power characterization (HPPC) measurements: an operator-theoretic model based on Dynamic Mode Decomposition with control (DMDc), and a physics-guided transformer-based sequence model. In the DMDc framework, dela
| Symbol | Mapping |
|---|---|
| Ω | capacity / efficiency |
| Ψ | ion transport / charge transfer |
| B | material lattice |
| C | temperature / voltage |
| Δ | degradation / resistance |
495. A Graph Theoretic Approach in Combination With Dynamic Mode Decomposition With Control (DMDc) to Analyze Battery Degradation
Source: http://arxiv.org/abs/2605.01689v1 (2026)
Summary: Accurate monitoring of lithium-ion battery (LIB) degradation is essential, yet it remains challenging due to the complex, nonlinear, and time-varying nature of electrochemical aging processes. Conventional equivalent circuit models (ECMs) provide simplified representations of battery behavior using fixed electrical components, but they cannot capture evolving internal degradation mechanisms and structural changes over time. In this study, a data-driven framework is developed by integrating dynam
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
496. A Miniaturized In-Mouth pH Sensing System for Real-Time Intraoral Telemetry
Source: http://arxiv.org/abs/2605.01545v1 (2026)
Summary: Dental caries is one of the most common chronic diseases worldwide, caused by acid production from bacterial metabolism of fermentable carbohydrates and affecting people of all ages. To evaluate the cariogenic and erosive properties of widely consumed food products, such as energy drinks, intraoral pH changes are measured during consumption. The gold standard for such measurements is miniaturized silicon-lithium-barium glass membrane electrodes. These electrodes allow dental plaque to form on th
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
497. A Time-Synchronized Video Reference System for Data Analysis of Body-Attached Sensor Nodes in Outdoor Scenarios
Source: http://arxiv.org/abs/2605.01540v1 (2026)
Summary: Wearable body-attached multi-sensor systems enable detailed analysis of human motion and physiological signals in sports, rehabilitation, and movement research. While wireless synchronization techniques can reliably align sensor data streams, interpreting and validating complex or unconstrained activities often requires an additional, objective visual reference. Existing laboratory-grade reference systems provide high accuracy but are impractical for outdoor or field deployments. In contrast, co
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
498. Coordination Architecture Shapes Continuous Demand Response Outcomes in Building Districts
Source: http://arxiv.org/abs/2605.01362v1 (2026)
Summary: Grid-integrated building districts must provide energy flexibility while preserving occupant comfort and equitable distribution of control burden. We study how coordination architecture influences the ability of building clusters to track aggregated load profiles, comparing four paradigms: centralized model predictive control (MPC), decentralized independent reinforcement learning (SAC), centralized-training-decentralized-execution multi-agent RL (MAPPO), and a hybrid MPC--SAC controller that se
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |
499. Modeling Stochastic Multi-Agent Interaction in Intraday Battery Energy Storage Dispatch with Market Power
Source: http://arxiv.org/abs/2605.01178v1 (2026)
Summary: We develop a stochastic game-theoretic model for intraday dispatch of grid-scale battery energy storage systems (BESSs). We assume that each BESS operator competitively manages her state-of-charge to maximize energy arbitrage revenues, driven by the endogenized electricity price that depends on the sum of the charging rates. We characterize the Nash equilibrium of the resulting finite-player linear-quadratic differential game with a shared stochastic driver, obtaining semi-explicit representatio
| Symbol | Mapping |
|---|---|
| Ω | phenotype / trait |
| Ψ | gene expression / evolution |
| B | DNA sequence / protein |
| C | regulatory context / environment |
| Δ | mutation / drift |
500. A Mission-Centric Cyber-Resilience Benchmark for Silent-Watch Operation of Electrified Ground-Platform Power Architectures
Source: http://arxiv.org/abs/2605.01166v1 (2026)
Summary: Silent-watch operation makes electrified ground platforms depend on supervisory energy management because mission loads must be sustained from stored energy while the engine is off. This paper develops a mission-centric cyber-resilience benchmark for this operating mode. The benchmark connects battery state-of-charge (SOC) spoofing to mission outcomes rather than evaluating the attack only through detector response or control error. It combines a reduced-order DC-bus model, residual-based detect
| Symbol | Mapping |
|---|---|
| Ω | model output / decision |
| Ψ | optimization / inference |
| B | weights / data |
| C | prompt / input |
| Δ | generalization gap |