Research-Stack/6-Documentation/papers/OTOM/00_Master_References.md
2026-05-05 21:09:48 -05:00

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Master References: OTOM Research Stack

Authors: Research Stack Team Date: May 2026 Domain: TTM Layer A (Compression/Routing) + Linguistic Invariants Purpose: Master reference document mapping all equations, concepts, and structures to their source files


Core Formalism (Lean 4)

Information Manifold

Source: 0-Core-Formalism/lean/Semantics/Core/InformationManifold.lean

Equations/Concepts:

  • Fisher-Rao metric: g_{ij}(\theta) = E_p[\partial_i \log p \cdot \partial_j \log p]
  • Affine connection: \nabla = \nabla^{LC} + T (with torsion T)
  • S1 Fisher-Geometric: Torsion-free, genus-3 topology
  • S2 Alcubierre Warp: dI^2 = -d\tau^2 + (dH - \beta d\tau)^2
  • S3 Sovereign Informatic Manifold (SIM): Torsion active, anisotropy M^{ij} \neq g^{ij}
  • S4 Behavioral/MOIM: Discrete lattice, Genome18 addressing
  • Bind primitive: \text{Bind}(A, B, g) : A \times B \times \text{Metric} \rightarrow \mathbb{R}

Used in:

  • 17_Meta_Manifold_Language_Merging.md (manifold structure, bind primitive)
  • 13_Language_as_Inverted_Manifold.md (manifold topology)

Manifold Flow

Source: 0-Core-Formalism/lean/external/OTOM/ManifoldFlow.lean

Equations/Concepts:

  • Gradient flow for \phi: \partial_t \phi = \nabla_i(M^{ij} \nabla_j \delta F/\delta \phi) - \sigma \partial \phi/\partial I_{lock}
  • Gradient flow for X^A: \partial_t X^A = -\Gamma^A_{BC} \partial_i X^B \partial_i X^C - \Lambda^{AB}(X^B - X_0^B) - \delta F/\delta X^A + \tau T^A
  • Torsion tensor: T^k_{ij} = \Gamma^k_{ij} - \Gamma^k_{ji}
  • Anisotropy tensor: M^{ij} (directional information flow)
  • Fold-back-lock invariant: I_{lock}

Used in:

  • 17_Meta_Manifold_Language_Merging.md (gradient flow, torsion, anisotropy)
  • 06_Manifold_Flow.md (core equations)

Mass Number

Source: 0-Core-Formalism/lean/Semantics/Core/MassNumber.lean

Equations/Concepts:

  • Mass Number structure: (AdmissiblePacket, ResidualReceipt, BoundaryMarker)
  • Admissibility gate: \text{MassLe}(m, \tau) := A \leq \tau \cdot (R + \varepsilon)
  • Depth policy: max depth = 3
  • Promotion readiness: \text{MassLeDefault} \land \text{depthPolicyOk} \land \text{boundCheck}
  • Underverse rule: quarantine for failed gates

Used in:

  • 17_Meta_Manifold_Language_Merging.md (admissibility gates, numerical calculations)

FiveD Torus Topology

Source: 0-Core-Formalism/lean/Semantics/Semantics/FiveDTorusTopology.lean

Equations/Concepts:

  • Torus distance: d_{torus} = \sum_{i=0}^{4} \min(|x_i - y_i|, k_i - |x_i - y_i|)
  • Torus diameter: D_{torus} = \sum_{i=0}^{4} \lfloor k_i/2 \rfloor
  • Bisection bandwidth: B = k_0 \cdot k_1 \cdot k_2 \cdot k_3 \cdot k_4 / 2
  • Node degree: 10 (2 neighbors per dimension)
  • Total connectivity: C_{total} = k_0 \cdot k_1 \cdot k_2 \cdot k_3 \cdot k_4

Used in:

  • 17_Meta_Manifold_Language_Merging.md (5D torus topology, routing)

Menger Sponge Fractal Addressing

Source: 0-Core-Formalism/lean/Semantics/Semantics/MengerSpongeFractalAddressing.lean

Equations/Concepts:

  • Hausdorff dimension: d_H \approx 2.7268
  • Fractal occupancy: |P_{occ}| = \rho_{occ} \cdot N^{d_H}
  • State space reduction: R_{reduction} = N^{d_H - 3}
  • Menger hash: \text{menger\_hash}(x, y, z) = x \oplus (y \ll 1) \oplus (z \ll 2)
  • Fractal offset: \text{fractal\_offset}(x, y, z) = (x + y + z) \cdot d_H / 65536
  • Menger address: \text{address} = \text{menger\_hash} \oplus \text{fractal\_offset}

Used in:

  • 17_Meta_Manifold_Language_Merging.md (fractal addressing, state space reduction)

Hybrid TSM-PIST-Torus

Source: 0-Core-Formalism/lean/Semantics/Semantics/HybridTSMPISTTorus.lean

Equations/Concepts:

  • PIST phase classification: Grounded/Drift/Seismic
  • Normalized tension ratio: \rho(n) = 4m(n)/(2k+1)^2
  • Genetic optimization score: I = (H \times G) \times (1 - D/64)
  • Lyapunov functional: \Lambda(S) = m(n) + \lambda f + \mu c(rej)
  • Mirror involution: \sigma_k(k^2+t) = (k+1)^2-t
  • Resonance check: m(\sigma_k(n)) = m(n)

Used in:

  • 17_Meta_Manifold_Language_Merging.md (PIST phase classification, genetic optimization)

GCL Documentation

Mass Number Surface Translation

Source: 0-Core-Formalism/otom/docs/gcl/MassNumberSurfaceTranslation.md

Equations/Concepts:

  • Surface translation: Mass Number → Surface
  • Surface fields: height, slope, curvature, basins, ridges, holes, seams, scar field
  • MassSurfacePacket structure
  • Surface translation rule (8 questions)

Used in:

  • 17_Meta_Manifold_Language_Merging.md (surface fields, MassSurfacePacket)

CAD Models

Gabriel's Horn

Source: 3-Mathematical-Models/cad_models/gabriels_horn.scad

Equations/Concepts:

  • Horn profile: y = 1/x
  • Horn volume: V = \int_1^\infty \pi (1/x)^2 dx = \pi
  • Horn surface area: A = \int_1^\infty 2\pi (1/x) \sqrt{1 + 1/x^4} dx = \infty
  • Byte container surface interpretation

Used in:

  • 17_Meta_Manifold_Language_Merging.md (Gabriel's horn geometry, finite volume/infinite surface)

OTOM Papers

04_Hutter_Prize_Equation.md

Source: 6-Documentation/papers/OTOM/04_Hutter_Prize_Equation.md

Equations/Concepts:

  • Winning equation: C = (0.4 \cdot C_{comp} + 0.35 \cdot C_{phys} + 0.25 \cdot C_{geom}) \times (S/(G + F))
  • Compression gain: -\rho (linear penalty)
  • Decoder penalty: \tau^2 (quadratic penalty)
  • Resource penalty: \sigma^2 + q^2 (quadratic penalty)
  • Tradeoff theorem: sufficient compression gain can offset penalties

Used in:

  • 17_Meta_Manifold_Language_Merging.md (Hutter Prize integration, penalty terms)

09_Cognitive_Load_Theory_Invariant_Enhanced.md

Source: 6-Documentation/papers/OTOM/09_Cognitive_Load_Theory_Invariant_Enhanced.md

Equations/Concepts:

  • Invariant load: L_{inv} = \sum_{i=1}^{N_w} w_i \cdot L_S(w_i)
  • NSM primes as invariants
  • Cognitive load with invariants

Used in:

  • 16_Minimal_Semantic_Loss_Cross_Linguistic_Conversion.md (cognitive load integration)
  • 17_Meta_Manifold_Language_Merging.md (cognitive load calculations)

10_NSM_Primes_Expanded_for_Cognitive_Load.md

Source: 6-Documentation/papers/OTOM/10_NSM_Primes_Expanded_for_Cognitive_Load.md

Equations/Concepts:

  • 64 NSM semantic primes (expanded list)
  • Cognitive load mapping for each prime
  • Invariant weights

Used in:

  • 16_Minimal_Semantic_Loss_Cross_Linguistic_Conversion.md (NSM primes reference)
  • 17_Meta_Manifold_Language_Merging.md (anchor points)

11_Language_Invariant_Catalog_Complete.md

Source: 6-Documentation/papers/OTOM/11_Language_Invariant_Catalog_Complete.md

Equations/Concepts:

  • Language invariant catalog (27+ languages)
  • Language family classification
  • Prime realization patterns
  • Compression implications
  • Severity weights

Used in:

  • 15_Public_Domain_Language_Exemplars.md (language list)
  • 16_Minimal_Semantic_Loss_Cross_Linguistic_Conversion.md (language families)
  • 17_Meta_Manifold_Language_Merging.md (language parameters)

12_Language_Prime_Equations_ReDerived.md

Source: 6-Documentation/papers/OTOM/12_Language_Prime_Equations_ReDerived.md

Equations/Concepts:

  • Language prime equations
  • Cognitive load matrix integration
  • Prime-based compression

Used in:

  • 17_Meta_Manifold_Language_Merging.md (language prime equations)

13_Language_as_Inverted_Manifold.md

Source: 6-Documentation/papers/OTOM/13_Language_as_Inverted_Manifold.md

Equations/Concepts:

  • Inverted manifold hypothesis
  • Language manifold: \mathcal{L}(t) = (M, g_{ij}(t), \tau(t))
  • Stress-induced reconfiguration
  • Manifold curvature changes

Used in:

  • 17_Meta_Manifold_Language_Merging.md (manifold reconfiguration)

14_Phonon_Mediated_Languages_Mined.md

Source: 6-Documentation/papers/OTOM/14_Phonon_Mediated_Languages_Mined.md

Equations/Concepts:

  • Cartesian phonon prime integration
  • Manhattan distance metric
  • Phonon force law
  • Forgotten punctuation symbols
  • Cognitive load tradeoff conjecture

Used in:

  • 17_Meta_Manifold_Language_Merging.md (phonon-mediated language patterns)

15_Public_Domain_Language_Exemplars.md

Source: 6-Documentation/papers/OTOM/15_Public_Domain_Language_Exemplars.md

Equations/Concepts:

  • Archive.org public domain exemplars
  • 27+ languages with canonical works
  • URLs and significance notes
  • Resource constraint note

Used in:

  • 17_Meta_Manifold_Language_Merging.md (language exemplars reference)

16_Minimal_Semantic_Loss_Cross_Linguistic_Conversion.md

Source: 6-Documentation/papers/OTOM/16_Minimal_Semantic_Loss_Cross_Linguistic_Conversion.md

Equations/Concepts:

  • Semantic loss: L_S(w_{A \rightarrow B}) = 1 - |S(w_A) \cap S(w_B)| / |S(w_A) \cup S(w_B)|
  • Cross-linguistic compression ratio: C_{cross} = 1 - \overline{L_S}
  • Language distance: D_{ling} = 1 - E_{cross}
  • Semantic loss tiers (T1-T4)
  • Severity weights

Used in:

  • 17_Meta_Manifold_Language_Merging.md (semantic loss matrix, compression ratios)

17_Meta_Manifold_Language_Merging.md

Source: 6-Documentation/papers/OTOM/17_Meta_Manifold_Language_Merging.md

Equations/Concepts:

  • Language manifold: \mathcal{M}_L \subset \mathbb{R}^d
  • Meta-manifold: \mathcal{M}_{meta} = \bigcup_{L \in \mathcal{L}} \mathcal{M}_L
  • Geometric structure folding (Torus-Menger-Horn)
  • Mass Number integration
  • Numerical calculations

Used in:

  • (This document is the synthesis of all above)

CAD Models

MetaManifoldLanguageMerging.lean

Source: 0-Core-Formalism/lean/Semantics/Semantics/MetaManifoldLanguageMerging.lean

Equations/Concepts:

  • Language manifold: \mathcal{M}_L \subset \mathbb{R}^d
  • Meta-manifold: \mathcal{M}_{meta} = \bigcup_{L \in \mathcal{L}} \mathcal{M}_L
  • Torus distance: d_{torus} = \sum_{i=0}^{4} \min(|x_i - y_i|, k_i - |x_i - y_i|)
  • Menger hash: \text{menger\_hash}(x, y, z) = x \oplus (y \ll 1) \oplus (z \ll 2)
  • Horn radius: r(x) = 1/x
  • Fold energy: E_{fold} = \alpha E_{torus} + \beta E_{menger} + \gamma E_{horn}
  • Mass Number gates for manifold merging
  • Surface translation

Used in:

  • 17_Meta_Manifold_Language_Merging.md (foundational formalization)
  • 01_Cognitive_Load_Theory.md (geometric structure folding)
  • 05_Bind_Primitive.md (manifold merging gates)
  • 06_Manifold_Flow.md (fold dynamics)
  • 04_Hutter_Prize_Equation.md (unified compression)
  • 08_Invariant_Theory.md (anchor points)

Citation Format

Inline citation format:

  • For Lean files: [Source.lean]
  • For documentation: [Source.md]
  • For papers: [XX_Paper_Name.md]

Example:

  • Fisher-Rao metric [InformationManifold.lean]
  • Mass admissibility gate [MassNumber.lean]
  • Hutter Prize equation [04_Hutter_Prize_Equation.md]

Cross-Reference Matrix

Concept Source Used In
Fisher-Rao metric InformationManifold.lean 17_Meta_Manifold_Language_Merging.md, MetaManifoldLanguageMerging.lean
Gradient flow ManifoldFlow.lean 17_Meta_Manifold_Language_Merging.md, 06_Manifold_Flow.md, MetaManifoldLanguageMerging.lean
Mass Number gate MassNumber.lean 17_Meta_Manifold_Language_Merging.md, MetaManifoldLanguageMerging.lean
5D torus topology FiveDTorusTopology.lean 17_Meta_Manifold_Language_Merging.md, MetaManifoldLanguageMerging.lean
Menger sponge MengerSpongeFractalAddressing.lean 17_Meta_Manifold_Language_Merging.md, MetaManifoldLanguageMerging.lean
Gabriel's horn gabriels_horn.scad 17_Meta_Manifold_Language_Merging.md, MetaManifoldLanguageMerging.lean
Hutter Prize equation 04_Hutter_Prize_Equation.md 17_Meta_Manifold_Language_Merging.md, MetaManifoldLanguageMerging.lean
NSM primes 10_NSM_Primes_Expanded_for_Cognitive_Load.md 16_Minimal_Semantic_Loss_Cross_Linguistic_Conversion.md, 17_Meta_Manifold_Language_Merging.md, MetaManifoldLanguageMerging.lean
Language invariants 11_Language_Invariant_Catalog_Complete.md 15_Public_Domain_Language_Exemplars.md, 16_Minimal_Semantic_Loss_Cross_Linguistic_Conversion.md, MetaManifoldLanguageMerging.lean
Semantic loss 16_Minimal_Semantic_Loss_Cross_Linguistic_Conversion.md 17_Meta_Manifold_Language_Merging.md, MetaManifoldLanguageMerging.lean
Compression ratios 16_Minimal_Semantic_Loss_Cross_Linguistic_Conversion.md 17_Meta_Manifold_Language_Merging.md, MetaManifoldLanguageMerging.lean
Inverted manifold 13_Language_as_Inverted_Manifold.md 17_Meta_Manifold_Language_Merging.md, MetaManifoldLanguageMerging.lean
Phonon-mediated languages 14_Phonon_Mediated_Languages_Mined.md 17_Meta_Manifold_Language_Merging.md, MetaManifoldLanguageMerging.lean
Meta-manifold MetaManifoldLanguageMerging.lean 01_Cognitive_Load_Theory.md, 02_KDA_Physics.md, 03_SSMS_Master_Recurrence.md, 04_Hutter_Prize_Equation.md, 05_Bind_Primitive.md, 06_Manifold_Flow.md, 07_Braid_Structure.md, 08_Invariant_Theory.md
Fold dynamics MetaManifoldLanguageMerging.lean 02_KDA_Physics.md, 03_SSMS_Master_Recurrence.md, 06_Manifold_Flow.md, 07_Braid_Structure.md, 17_Meta_Manifold_Language_Merging.md
Surface translation MassNumberSurfaceTranslation.md MetaManifoldLanguageMerging.lean, 17_Meta_Manifold_Language_Merging.md