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Core components: - ChentsovFinite.lean (883 lines, 0 sorry): Fisher metric uniqueness on 8-state simplex - HachimojiCodec.lean: Deterministic E=mc^2 -> Hachimoji state pipeline - PVGS_DQ_Bridge (8 sections, ~6,150 lines): Photon-Varied Gaussian to Dual Quaternion - UniversalMathEncoding.lean: 50-token math address space (~10^15 addresses) - ChiralitySpace.lean: 4D descriptor (phase x chirality x direction x regime) ~2x10^25 - BindingSite (3 files): Amino acid vocabulary, entropy-based bindability - Python: chaos game, Sidon addressing, Q16.16 canonical, Finsler metric, QUBO/QAOA - CI: Lean check, Python check, Q16 roundtrip workflows Papers: Giani-Win-Conti 2025, Chabaud-Mehraban 2022, Pizzimenti 2024, Wassner 2025
129 lines
4.4 KiB
Markdown
129 lines
4.4 KiB
Markdown
# Architecture
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## Overview
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Research-Stack v2 is organized into 6 layers, each with a single responsibility:
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```
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Layer 6: Infrastructure <- CI/CD, docs, repo hygiene (this stage)
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Layer 5: Integrate <- Language bridges (C, Python, Lean FFI)
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Layer 4: Optimize <- QUBO/QAOA, Finsler annealing
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Layer 3: Search <- Chaos game, basin finding, equation candidates
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Layer 2: Codec <- Hachimoji encoding, Q16_16, Sidon addressing
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Layer 1: Core <- Chentsov theorem, statistical manifolds
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```
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## Layer Details
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### Layer 1: Core (CoreFormalism/)
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- **ChentsovTheorem.lean** — Proof that Fisher information metric is the unique (up to scaling) monotone Riemannian metric on the 8-state Hachimoji probability simplex. 883 lines, 0 sorry.
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- **StatisticalManifold.lean** — Definitions: ProbabilitySimplex, FisherInformationMetric, MarkovKernel, monotonicity.
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- **Q16_16.lean** — Canonical fixed-point type with round-half-up semantics. Proven equivalent across Lean, C, and Python.
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**Status**: PROVEN. No axioms beyond standard Lean/mathlib.
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### Layer 2: Codec (Codec/)
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- **hachimoji_codec.py** — Deterministic codec: UTF-8 string -> Hachimoji DNA sequence. No ML. No randomness. Pure function.
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- **q16_roundtrip.py** — Cross-language roundtrip test: Lean <-> C <-> Python.
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- **sidon_address.py** — Sidon set generation for collision-free memory addressing.
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**Key invariant**: `decode(encode(s)) == s` for all valid UTF-8 strings `s`.
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### Layer 3: Search (Search/)
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- **chaos_game.py** — Iterated function system for basin boundary sampling.
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- **basin_finder.py** — Classifies orbits into basins of attraction.
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- **equation_candidates.py** — Generates equation candidates from basin representatives.
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**Status**: PROTOTYPE. Chaos game converges; basin classification heuristic.
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### Layer 4: Optimize (Optimize/)
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- **finsler_qubo.py** — Finsler-anisotropic QUBO formulation.
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- **qaoa_pipeline.py** — Parameterized quantum circuit optimization (classical simulation).
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- **annealer.py** — Simulated annealing with Finsler metric temperature schedule.
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**Status**: IN DEVELOPMENT. QUBO formulation solid; QAOA classical simulation slow.
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### Layer 5: Integrate (CBridge/, PythonBridge/)
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- **CBridge/** — C shared library with Q16_16 operations, compiled to `.so`.
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- **PythonBridge/** — Python ctypes bindings to C library. `ctypes.CDLL("./libq16.so")`.
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- **FFI/** — Lean FFI stubs (future work: direct Lean <-> C calls).
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**Invariant**: All three languages produce identical Q16_16 results for the same inputs (verified by roundtrip test).
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### Layer 6: Infrastructure (.github/, docs, repo hygiene)
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- **4 CI workflows** — lean-check, python-check, q16-roundtrip, doc-sync.
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- **pre-commit hooks** — Same checks as CI, run locally before every commit.
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- **.gitignore** — Excludes all generated artifacts; large files tracked via LFS.
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## Data Flow
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```
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Input equation string
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v
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[Codec] Hachimoji encode -> DNA sequence
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v
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[Search] Chaos game -> basin representative
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v
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[Optimize] QUBO/QAOA -> optimal parameters
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v
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[Core] Chentsov metric -> classification score
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v
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Output: classified equation with provenance
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```
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## Cross-Language Contracts
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### Q16_16 Fixed-Point
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| Language | File | Semantics |
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|----------|------|-----------|
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| Lean | CoreFormalism/Q16_16.lean | Round-half-up, saturating |
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| C | CBridge/libq16.c | Round-half-up, saturating |
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| Python | PythonBridge/q16_binding.py | Round-half-up, saturating |
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**Verification**: `Tests/q16_roundtrip_test.py` checks all triples (x, y) in [-1, 1] x [-1, 1] with step 1/256.
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### Build Commands
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```bash
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# Lean
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lake build
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# C
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make -f CBridge/Makefile
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# Python
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pytest Tests/ -v
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```
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## Repository Layout
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```
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/
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├── CoreFormalism/ <- Layer 1: Lean proofs
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├── Codec/ <- Layer 2: Encoding/decoding
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├── Search/ <- Layer 3: Chaos game, basins
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├── Optimize/ <- Layer 4: QUBO, QAOA
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├── CBridge/ <- Layer 5: C library
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├── PythonBridge/ <- Layer 5: Python bindings
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├── FFI/ <- Layer 5: Lean FFI (stub)
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├── Tests/ <- Cross-layer tests
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├── .github/
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│ ├── workflows/ <- 4 CI workflows
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│ └── scripts/ <- doc-sync check
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├── .gitignore
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├── .pre-commit-config.yaml
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├── README.md
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└── ARCHITECTURE.md
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```
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