# AGENTS.md — SilverSight **SilverSight is the clean-slate rebase of the Research Stack.** ## Repository **GitHub:** `https://github.com/allaunthefox/SilverSight` **Local clone:** `/home/allaun/SilverSight` **Formal modules:** `formal/SilverSight/` ## Research Stack `~/Research\ Stack` is a **read-only archive**. Never write to it. It is the regression oracle — if a closed theorem there covers the same territory as new SilverSight work, the SilverSight proof must recover it as a corollary. ## Rules 1. **SilverSight is the ONLY target for new formal work.** All new Lean code goes here. Do NOT modify `~/Research\ Stack/` under any circumstances. 2. **No cross-imports from Research Stack.** SilverSight depends on Mathlib only. If something from Semantics is needed, port it cleanly. 3. **No `sorry` in committed code.** 4. **No `Float` in compute paths.** Use `Q0_16` or `Q16_16`. 5. **No `native_decide` unless it is the only tactic that closes the goal.** Use `norm_num`, `omega`, `simp`, `decide`, or explicit proof terms first. Document why `native_decide` is required when used. Exception: finitely decidable existence claims (e.g., N=8 necessity) are the canonical use case. 6. **Build gate:** `lake build SilverSight` must pass (0 errors). 7. **Every new module needs:** - `@[simp]` theorems for key computations - `#eval` witnesses with expected output in comments - A docstring explaining the module's purpose 8. **The claim manifest** lives at `6-Documentation/docs/claims/manifest_v1.json`. ## Rotation Protocol (SilverSight ↔ BioSight) Every work cycle runs three passes in order: ``` 1. BioSight scan: - Run phi.encode on the active equation batch - Collect (τ, δ) distribution from phi.ast_parse - Flag any phi.consistency ADMIT/QUARANTINE decision lacking a SilverSight receipt → these are rotation triggers: pending SilverSight gates 2. SilverSight pass (triggered by scan): - Formalize the flagged gate (≤ 10 lines from existing Schema/WireFormat/Receipt/Bind) - lake build must pass - Emit receipt JSON 3. BioSight integration: - phi.consistency consumes the receipt; decision is now SilverSight-backed - Update dag/graph.md node from ⚪ to 🟡/🟢 ``` **Archive regression check (every cycle):** If Research Stack has a closed proof covering the same territory as a new gate, BioSight's instance must recover it as a corollary. Failure = framework hole. ## Anti-Drift Multi-Pass LLM agents drift from the formal spec across sessions. Every decision — no matter how minor — must survive all four passes before it is considered settled: | Pass | Layer | Authority | |------|-------|-----------| | 1 | Python (BioSight phi) | I/O encoding only — no decisions | | 2 | Lean (SilverSight gate) | Formal authority — closes the decision | | 3 | RRC pipeline | Cross-repo alignment check | | 4 | Research Stack oracle | Regression — must recover closed theorems | **Drift signal:** any Python path making an admissibility or routing decision without a corresponding SilverSight receipt is drift. File it immediately as a pending gate (Pass 2 incomplete). **Session start protocol:** Before any new formal work, confirm `lake build SilverSight` still passes. Do not trust prior session summaries about build state. ## Root Formal Theorem: N=8 Necessity The entire BioSight alphabet choice rests on: ``` N = 8 = min { N : Nyquist(N) ∧ Q16_16(N) ∧ DNA-subset(N) } ``` - **Nyquist(N):** N ≥ 2 × max_frequency (antialiasing lower bound) - **Q16_16(N):** N is a power of 2 (fixed-point arithmetic requirement) - **DNA-subset(N):** N ≤ 8 (hachimoji alphabet upper bound) Target: `formal/SilverSight/HachimojiN8.lean` — provable by `native_decide` once the three predicates are defined. This is the root receipt that BioSight's phi.consistency depends on. ## What Belongs Here - Schema/Layout/WireFormat core (YaFF-inspired) - Product-type encoders - Receipt/Bind composition primitive - DynamicCanal physics (when ported) - RRC corpus and PIST pipeline (when ported) - Compression theorems (when ported) ## What Does NOT Belong Here - Research Stack legacy modules (stay in `Semantics/Semantics/`) - Python shims (stay in `4-Infrastructure/shim/`) - Documentation (stay in `6-Documentation/`) - Extraction JSONs (stay in `extraction/`) | ID | Research Stack source | SilverSight target | Status | |----|----------------------|--------------------|--------| | `nuvmap-port` | `Semantics.InvariantReceipt.Instances.NUVMAP` | `formal/SilverSight/InvariantReceipt/NUVMAP.lean` | ❌ Not started | | `lambda-threshold` | (no RS source — new theorem) | `formal/SilverSight/PIST/BmcteThreshold.lean` | ❌ Not started | | `chentsov-core` | (ported) | `ChentsovFinite.lean` | ✅ Complete (3 axioms, 0 sorries) | | `fisher-rigidity` | (new) | `PIST/FisherRigidity.lean` | ✅ Complete (0 sorries) | ## Current Status | Module | Status | Sorry | |--------|--------|-------| | Schema.lean | Complete | 0 | | WireFormat.lean | Complete | 0 | | ProductSchema.lean | Complete | 0 | | ProductWireFormat.lean | Complete | 0 | | Receipt.lean | Complete | 0 | | Bind.lean | Complete | 0 | | PIST/Spectral.lean | Complete | 0 | | PIST/FisherRigidity.lean | Complete | 0 | | PIST/CartanConnection.lean | Complete (NR bracket MC equation) | 0 | | PIST/YangBaxter.lean | Complete (Layer 2d) | 0 | | PIST/Tdoku16D.lean | Complete (reflexive convergence 336) | 0 | | PIST/CrossDomainSynthesis.lean | Complete (Rydberg defect & SC band) | 0 | | PIST/MultiSurfacePacker.lean | Complete (Lagrangian decision logic) | 0 | | PIST/UnifiedCovariant.lean | Complete (L1 + L2c: 0 sorries; L3: 7 sorries) | 7† | | CoreFormalism/ChentsovFinite.lean | Complete (3 axioms) | 0 | | AVMIsa/Types.lean | Complete | 0 | | AVMIsa/Value.lean | Complete | 0 | | AVMIsa/Instr.lean | Complete | 0 | | AVMIsa/State.lean | Complete | 0 | | AVMIsa/Step.lean | Complete | 0 | | AVMIsa/TypeCheck.lean | Complete | 0 | | AVMIsa/TypeSafety.lean | Complete | 0 | | AVMIsa/Run.lean | Complete | 0 | | RRC/Emit.lean | Complete (Q16_16 ncDerived, alignment gate, 6 fixtures) | 0 | | RRC/Q16_16Manifold.lean | Complete (278 rows, Q16_16 manifold fields) | 0 | | RRC/ReceiptDensity.lean | Complete | 0 | | RRCLogogramProjection.lean | Complete | 0 | † Layer 3 sorries are geometric conjectures (Kähler on ℂℙ⁷, Cartan connection, holonomy SO⁰(1,6)) deferred pending Mathlib infrastructure. Layer 1 (4 discrete invariants) and Layer 2c (NR bracket MC equation / Yang-Baxter integrability) are complete with 0 sorries. **Layer 2/2b quarantined** (2026-06-26): goldenEndomorphism, eigensolid_convergence, Sidon-orthogonality bypass, and crossingMatrix sections were removed from UnifiedCovariant.lean due to incompatible Mathlib 4.30.0-rc2 import paths. Their content is preserved in git history and can be revived when Mathlib dependency paths stabilize. See git log of UnifiedCovariant.lean. ## CartanConnection — NR Bracket MC Equation (Gate C, Layer 2c) **Purpose:** Proves d_CE μ = 0 (equivalently [μ,μ]_{NR} = 0) for the Sidon crossing matrix 2-cochain μ ∈ C²(V,V). Verified on all 7³ = 343 basis triples by `native_decide`. Together with YangBaxter.lean, this closes the breakglass: `[μ,μ]_{NR}=0 ⇒ YB integrability`. **Key theorems:** - `Jacobiator_basis_all` — Finset filter emptiness over 343 triples - `Jacobiator_basis_zero` — vanishes on any single basis triple ## YangBaxter — Yang-Baxter Integrability (Layer 2d) **Purpose:** Proves that the 2×2 Sidon crossing block B = [[39/256, 1/7], [1/7, 39/256]] generates R = B⊗B satisfying R₁₂ R₁₃ R₂₃ = R₂₃ R₁₃ R₁₂. **Key fact:** Equality holds by alpha-equivalence (r↔s renaming). No tactic needed (`rfl`). ## Layer 2 Architecture ``` Layer 1 (DiscreteFoundations): I₁–I₄ invariants, Sidon uniqueness Layer 2c (CartanConnection): NR bracket MC equation [μ,μ]=0 ← HERE Layer 2d (YangBaxter): Yang-Baxter integrability ← HERE Layer 2b (QUARANTINED): Eigensolid convergence, matrix norm bound Layer 2 (QUARANTINED): Golden endomorphism J²=J+I Layer 3 (GeometricConjectures): Kähler on ℂℙ⁷, Cartan connection, holonomy ``` The Sidon crossing matrix has 4 disjoint 2×2 blocks (pairs 0↔1, 2↔3, 4↔5, 6↔7) with cross-block entries zero by Sidon address uniqueness (I₄). This block-diagonal structure makes all NR cross terms vanish structurally — the operadic grafting tree is totally disconnected. ## FisherRigidity — Parabola Focal-Chord to Fisher-Rao Bridge **Purpose:** Bridges parabola focal-chord perpendicularity (s₁·s₂ = -1) to Fisher-Rao geometric rigidity and Hachimoji eigensolid braid dynamics. **Key structures:** - `ConjugatePair` — slope pair encoding perpendicularity - `isOrthogonal` — Fisher orthogonality vanishing predicate (s₁·s₂ = -1) - `eigensolidSpectralGapRaw` — 9984 (0.152 normalized), above 1/7 threshold **Eval witnesses:** - `parabolaConjugatePair (ofRawInt 65536)` → { slope_large := 158217, slope_small := -27147 } - `eigensolidSpectralGapRaw` → 9984 - Normalized: 9984/65536 ≈ 0.152 > 1/7 ≈ 0.143 (proven via `spectralGapIntCompare`) ## BMCTE Eigensolid Threshold (p/N = 1/7) **Result:** λ = exp(-p²/N) → 0 at threshold confirms theoretical prediction **Implementation:** 1. NUVMAP sparse rollup (`extension_v2_chunked.py`) - saves state per step 2. Spectral witness (`PIST/SpectralWitness.lean`) - computes spectral profile 3. NEON spectral driver (`nuvmap_spectral_driver.py`) - verified 9984 gap value **Status:** - λ(eigensolid) = 0 confirmed via formula - Spectral gap trivially equals input matrix diagonal values (needs parametric sweep) - TODO(lean-port): NUVMAP module not yet ported to SilverSight **Files:** - `experiments/bosonic_continuous/*.json` — receipts - `formal/SilverSight/PIST/SpectralWitness.lean` — spectral witness - `experiments/graph_erdos_renyi/*.py` and `*.png` — visualization (note: 1/n ≠ 1/7 thresholds) ## MCP Tools Available | Tool | Module | Purpose | |------|--------|---------| | `gemma-lean-port.find_todo_sorries` | tools-scripts/llm/gemma_lean_port_harness.py | Find TODO(lean-port) theorems | | `gemma-lean-port.port_theorem` | tools-scripts/llm/gemma_lean_port_harness.py | Generate + validate Lean proofs via Gemma4-12B | | `loogle-search.loogle_search` | (planned) tools-scripts/mcp/loogle_mcp.py | Search Lean/Mathlib symbols | ## MCP Configuration Add to `~/.config/opencode/mcp.json`: ```json { "mcpServers": { "gemma-lean-port": { "command": "python3", "args": ["SilverSight/5-Applications/tools-scripts/llm/gemma_lean_port_harness.py"] } } } ``` Env vars: - `GEMMA_URL` — Gemma endpoint (default: http://127.0.0.1:8081/v1/chat/completions) - `GEMMA_MODEL` — model name (default: gemma4-12b) ## Baker Analogue Integration The VCN-FAMM-Sidon system is a Baker-style transcendental framework where: - Sidon addresses = injectivity constraints - Collapse functional Λ = ∑ wᵢⱼₖₗ log(aᵢ + aⱼ) - Scar energy Ω = ∑ scar.pressure - Theorem: |Λ| ≥ ε(X) ∨ Ω > 0 (rigidity OR scar emission) ## ncDerived Architecture (2026-06-29) ### Negative Control Witness ``` CSV axioms (ncObserved, residualRisk, scaleBandDeclared, weakAxesNames) │ ▼ ncDerived = Q16_16.mul residualRisk scaleBandDeclared │ ├── ncDerived_mul (simp) ├── ncDerived_independence_justification (CRT product principle link) └── Output: nc_derived in JSON (via .toFloat at I/O boundary) ``` ### Q16_16 Values (Fixture Corpus) | Row | residualRisk | scaleBandDeclared | ncDerived (raw) | ncDerived (float) | |-----|-------------|-------------------|-----------------|-------------------| | Clf/Ssrc | 47/100 | 2/5 | 12320 | 0.187988 | | Stamp_Code | 11/25 | 1/5 | 5766 | 0.087982 | | Weak control | 27/50 | 1/5 | 7077 | 0.107986 | ### FFS Physical Analog (Pending Validation) - arXiv:2602.17656 fractional Fermi sea occupancy ϑ(λ) ≤ 1/(2W+1) - Maps to ncDerived scale-band: scaleBandDeclared(W) = 1/(2W+1) - If validated: modulus 128 must change (no odd divisors; see `docs/math/arxiv_2602_17656_model_notes.md`) - Validation: KS test of ncDerived vs 1/(2W+1) quantization (Step 5, Milestone 7b) ### Files Ported (Research Stack → SilverSight) | File | Status | Notes | |------|--------|-------| | `formal/SilverSight/RRC/Emit.lean` | ✅ Q16_16 ncDerived | Float-free compute path | | `formal/SilverSight/RRC/Q16_16Manifold.lean` | ✅ 278 rows | Q16_16 manifold fields | | `python/build_manifold.py` | ✅ Q16_16 emission | `lean_q16_16()` helper | ## Beyond Rigorous — Anti-Smuggle Protocol LLMs produce coherent-looking outputs that are subtly wrong in non-obvious ways. Every step must be assumed flawed until independently verified by a non-LLM mechanism. This section defines the 5-layer anti-smuggle protocol that enforces dual-sided proof structure across the entire SilverSight pipeline. ### Layer 0: Deterministic Reproducibility Chain Every artifact must be independently reproducible from source. Non-determinism is the primary vector for smuggled assumptions [5]. ``` Source inputs (equations, QUBO params, seeds) → SHA-256 hash → Python shim (deterministic, seed-locked) → Lean build (deterministic) → Output JSON → SHA-256 receipt (pinned in CITATION.cff) Independent re-run on different hardware must produce identical hash chain. If not → non-determinism detected → assumption smuggling possible. ``` **Enforcement:** - All Python shims must accept `--seed` parameter (default 0) - All random number generators must be seeded explicitly - Lean `#eval` outputs must be cached and hashed - Receipt JSON includes `content_sha256` field for all generated artifacts ### Layer 1: Multi-Model Cross-Validation No single LLM output stream is trusted. Every formal claim must be independently generated by at least two models and checked for formal equivalence [2][12]. ``` LLM A → generates Lean theorem LLM B → generates Lean theorem (same problem, blind) ↓ Lean compiler verifies both independently ↓ Formal equivalence checker confirms both prove same statement ↓ If one passes and the other fails → BOTH are suspect ``` **Enforcement:** - Critical theorems (Chentsov, FSR, ncDerived) must have dual provenance - Cross-validation receipt records both source models + Lean build hash - Surface-form similarity is NOT equivalence — Lean proofs can be cosmetically identical while logically different ### Layer 2: Adversarial Mutation Testing The verifier itself must be tested. For every theorem, deliberately introduce errors and verify the system catches them [8]. ```bash # Mutation suite for every theorem in the build surface mutations/ Emit.lean/ 001_flip_ncDerived_mul.lean # expected: FAIL 002_swap_residual_scale.lean # expected: FAIL 003_zero_ncObserved.lean # expected: FAIL 004_float_instead_of_q16.lean # expected: FAIL ``` **Enforcement:** - `python3 scripts/qc-flag/` must pass on clean build AND fail on each mutation - Mutation coverage = `#mutations_that_cause_build_failure / #total_mutations` - If a mutation passes the build → the theorem is not specific enough ### Layer 3: Symbolic Oracle Grounding (CAS/SMT) Lean proofs can be vacuously true or circular. Every numeric claim must be independently verified by a non-LLM symbolic engine [15][17]. ``` Lean computes: ncDerived = Q16_16.mul (Q16_16.ofRatio 47 100) (Q16_16.ofRatio 2 5) ↓ SymPy computes: ncDerived = Rational(47,100) * Rational(2,5) = 47/250 = 0.188 ↓ Z3 checks: Assert(lean_output == sympy_output ± epsilon) ``` **Enforcement:** - All `Q16_16.ofRatio` values must have a corresponding SymPy `Rational` verification - All `native_decide` blocks must have a Z3 SMT-LIB2 equivalent - CAS verification receipt stored alongside Lean receipt ### Layer 4: Dual-Sided Proof Structure (Domain-Specific) For the Hachimoji/QUBO pipeline, the quantum encoding must be verified against a classical ground truth. This is the "clear-box middleware" architecture. ``` Classical Path (ground truth): DNA sequence → Biopython → expected state vector → SHA-256 Quantum Path (execution): DNA sequence → Qiskit/PennyLane circuit → measured state → SHA-256 Assertion Layer (every gate): ├── Unitarity preserved? (‖U†U - I‖ < ε) ├── Probability distribution consistent with DNA input? └── State vector fidelity ≥ threshold? Cross-Validation: ├── Classical expected == Quantum measured (within noise) ├── If mismatch → LogicViolation exception → data quarantined └── Log: every state transformation serialized to JSONL for audit ``` **Enforcement:** - Every circuit gate has an assertion wrapper checking unitarity - Every measurement logs: `{timestamp, gate, input_state, output_state, fidelity}` - Third-party observer can reconstruct exact state at any time t from logs alone - Full audit trail = "traceable proof" ### Layer 5: Claim-State Ladder with Non-LLM Gate Every claim in the system must occupy one of these states. Promotion requires non-LLM evidence at every rung. | State | Requirement | LLM Role | Non-LLM Gate | |-------|------------|----------|-------------| | **BEAUTIFUL_PROVISIONAL** | Coherent hypothesis | Primary author | None | | **CALIBRATED_ENGINEERING_DELTA** | CAS/SMT verification | Provide code | SymPy/Z3 check | | **REVIEWED** | Multi-model cross-validation | Dual provenance | Lean compiler | | **VERIFIED** | Full reproducibility + adversarial tests | Audited | Mutation suite + hash chain | **Rule:** No claim may promote from PROVISIONAL to DELTA without a non-LLM symbolic verification. No claim may promote to VERIFIED without a passing mutation suite. ### Entry Gate for Every Commit Before any formal work is accepted: ```bash 1. Deterministic check: python3 scripts/check_determinism.py # seed-locked, hash-verified 2. Cross-validation: python3 scripts/cross_validate.py # dual LLM provenance check 3. Mutation suite: python3 scripts/qc-flag/ # verify verifier catches errors 4. CAS grounding: python3 scripts/verify_with_sympy.py # numeric ground truth 5. Build gate: lake build SilverSight # Lean compiler ``` All five must pass. If any fails, the commit is quarantined and flagged for human review. ### Summary Table | Layer | What It Prevents | Tool | Current Status | |-------|-----------------|------|----------------| | 0: Determinism | Non-reproducible artifacts | SHA-256, seed-lock | ⚠️ Partial (corpus hashes exist) | | 1: Cross-validation | Single-LLM blind spots | Multi-model Lean | ❌ Missing | | 2: Mutation testing | Verifier that passes bad proofs | `scripts/qc-flag/` | ❌ Missing | | 3: CAS/SMT grounding | Vacuous/tautological proofs | SymPy, Z3 | ❌ Missing | | 4: Dual-sided proof | Smuggled quantum assumptions | PennyLane, Biopython | ⚠️ Partial (QUBO exists) | | 5: Claim-state ladder | Unvalidated promotion | Review protocol | ⚠️ Partial (AGENTS.md framework)