mirror of
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- Rename python/build_corpus250.py → python/build_manifold.py - Rename emitCorpus250 → emitManifold, corpus250 → allFixtures - Schema: avm_rrc_corpus250_v1 → avm_rrc_manifold_v1 - Classify.lean now delegates to ClassifyN (generic n-dim module) - ClassifyN.hashTable8: extracted 119-entry hash table from old Classify - build_manifold.py now emits ClassifyN.classifyProxy hashTable8 + classifyExact 8 - build_pist_matrices_250.py: added pistMatrixDim constant - SilverSight docs/AGENTS.md updated for renames - Research Stack AGENTS.md updated for toolchain references - Authentik deployed on neon-64gb (port 30001, working) - cross_domain_significance.py: statistical significance test (all phases <6σ with n=3) - setup_authentik.sh: fixed image, password, port, key sharing Build: 3307 jobs, 0 errors (lake build)
439 lines
19 KiB
Markdown
439 lines
19 KiB
Markdown
# AGENTS.md — SilverSight
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**SilverSight is the clean-slate rebase of the Research Stack.**
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## Repository
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**GitHub:** `https://github.com/allaunthefox/SilverSight`
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**Local clone:** `/home/allaun/SilverSight`
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**Formal modules:** `formal/SilverSight/`
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## Research Stack
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`~/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.
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## Rules
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1. **SilverSight is the ONLY target for new formal work.** All new Lean code goes here. Do NOT modify `~/Research\ Stack/` under any circumstances.
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2. **No cross-imports from Research Stack.** SilverSight depends on Mathlib only. If something from Semantics is needed, port it cleanly.
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3. **No `sorry` in committed code.**
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4. **No `Float` in compute paths.** Use `Q0_16` or `Q16_16`.
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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.
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6. **Build gate:** `lake build SilverSight` must pass (0 errors).
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7. **Every new module needs:**
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- `@[simp]` theorems for key computations
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- `#eval` witnesses with expected output in comments
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- A docstring explaining the module's purpose
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8. **The claim manifest** lives at `6-Documentation/docs/claims/manifest_v1.json`.
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## Rotation Protocol (SilverSight ↔ BioSight)
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Every work cycle runs three passes in order:
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```
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1. BioSight scan:
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- Run phi.encode on the active equation batch
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- Collect (τ, δ) distribution from phi.ast_parse
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- Flag any phi.consistency ADMIT/QUARANTINE decision lacking a SilverSight receipt
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→ these are rotation triggers: pending SilverSight gates
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2. SilverSight pass (triggered by scan):
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- Formalize the flagged gate (≤ 10 lines from existing Schema/WireFormat/Receipt/Bind)
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- lake build must pass
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- Emit receipt JSON
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3. BioSight integration:
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- phi.consistency consumes the receipt; decision is now SilverSight-backed
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- Update dag/graph.md node from ⚪ to 🟡/🟢
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```
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**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.
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## Anti-Drift Multi-Pass
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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:
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| Pass | Layer | Authority |
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|------|-------|-----------|
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| 1 | Python (BioSight phi) | I/O encoding only — no decisions |
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| 2 | Lean (SilverSight gate) | Formal authority — closes the decision |
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| 3 | RRC pipeline | Cross-repo alignment check |
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| 4 | Research Stack oracle | Regression — must recover closed theorems |
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**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).
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**Session start protocol:** Before any new formal work, confirm `lake build SilverSight` still passes. Do not trust prior session summaries about build state.
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## Root Formal Theorem: N=8 Necessity
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The entire BioSight alphabet choice rests on:
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```
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N = 8 = min { N : Nyquist(N) ∧ Q16_16(N) ∧ DNA-subset(N) }
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```
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- **Nyquist(N):** N ≥ 2 × max_frequency (antialiasing lower bound)
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- **Q16_16(N):** N is a power of 2 (fixed-point arithmetic requirement)
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- **DNA-subset(N):** N ≤ 8 (hachimoji alphabet upper bound)
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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.
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## What Belongs Here
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- Schema/Layout/WireFormat core (YaFF-inspired)
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- Product-type encoders
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- Receipt/Bind composition primitive
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- DynamicCanal physics (when ported)
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- RRC corpus and PIST pipeline (when ported)
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- Compression theorems (when ported)
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## What Does NOT Belong Here
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- Research Stack legacy modules (stay in `Semantics/Semantics/`)
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- Python shims (stay in `4-Infrastructure/shim/`)
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- Documentation (stay in `6-Documentation/`)
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- Extraction JSONs (stay in `extraction/`)
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| ID | Research Stack source | SilverSight target | Status |
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|----|----------------------|--------------------|--------|
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| `nuvmap-port` | `Semantics.InvariantReceipt.Instances.NUVMAP` | `formal/SilverSight/InvariantReceipt/NUVMAP.lean` | ❌ Not started |
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| `lambda-threshold` | (no RS source — new theorem) | `formal/SilverSight/PIST/BmcteThreshold.lean` | ❌ Not started |
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| `chentsov-core` | (ported) | `ChentsovFinite.lean` | ✅ Complete (3 axioms, 0 sorries) |
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| `fisher-rigidity` | (new) | `PIST/FisherRigidity.lean` | ✅ Complete (0 sorries) |
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## Current Status
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| Module | Status | Sorry |
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|--------|--------|-------|
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| Schema.lean | Complete | 0 |
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| WireFormat.lean | Complete | 0 |
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| ProductSchema.lean | Complete | 0 |
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| ProductWireFormat.lean | Complete | 0 |
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| Receipt.lean | Complete | 0 |
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| Bind.lean | Complete | 0 |
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| PIST/Spectral.lean | Complete | 0 |
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| PIST/FisherRigidity.lean | Complete | 0 |
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| PIST/CartanConnection.lean | Complete (NR bracket MC equation) | 0 |
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| PIST/YangBaxter.lean | Complete (Layer 2d) | 0 |
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| PIST/Tdoku16D.lean | Complete (reflexive convergence 336) | 0 |
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| PIST/CrossDomainSynthesis.lean | Complete (Rydberg defect & SC band) | 0 |
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| PIST/MultiSurfacePacker.lean | Complete (Lagrangian decision logic) | 0 |
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| PIST/UnifiedCovariant.lean | Complete (L1 + L2c: 0 sorries; L3: 7 sorries) | 7† |
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| CoreFormalism/ChentsovFinite.lean | Complete (3 axioms) | 0 |
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| AVMIsa/Types.lean | Complete | 0 |
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| AVMIsa/Value.lean | Complete | 0 |
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| AVMIsa/Instr.lean | Complete | 0 |
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| AVMIsa/State.lean | Complete | 0 |
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| AVMIsa/Step.lean | Complete | 0 |
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| AVMIsa/TypeCheck.lean | Complete | 0 |
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| AVMIsa/TypeSafety.lean | Complete | 0 |
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| AVMIsa/Run.lean | Complete | 0 |
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| RRC/Emit.lean | Complete (Q16_16 ncDerived, alignment gate, 6 fixtures) | 0 |
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| RRC/Q16_16Manifold.lean | Complete (278 rows, Q16_16 manifold fields) | 0 |
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| RRC/ReceiptDensity.lean | Complete | 0 |
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| RRCLogogramProjection.lean | Complete | 0 |
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† Layer 3 sorries are geometric conjectures (Kähler on ℂℙ⁷, Cartan connection,
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holonomy SO⁰(1,6)) deferred pending Mathlib infrastructure. Layer 1 (4
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discrete invariants) and Layer 2c (NR bracket MC equation / Yang-Baxter
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integrability) are complete with 0 sorries.
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**Layer 2/2b quarantined** (2026-06-26): goldenEndomorphism, eigensolid_convergence,
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Sidon-orthogonality bypass, and crossingMatrix sections were removed from
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UnifiedCovariant.lean due to incompatible Mathlib 4.30.0-rc2 import paths.
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Their content is preserved in git history and can be revived when Mathlib
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dependency paths stabilize. See git log of UnifiedCovariant.lean.
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## CartanConnection — NR Bracket MC Equation (Gate C, Layer 2c)
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**Purpose:** Proves d_CE μ = 0 (equivalently [μ,μ]_{NR} = 0) for the Sidon
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crossing matrix 2-cochain μ ∈ C²(V,V). Verified on all 7³ = 343 basis triples
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by `native_decide`. Together with YangBaxter.lean, this closes the breakglass:
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`[μ,μ]_{NR}=0 ⇒ YB integrability`.
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**Key theorems:**
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- `Jacobiator_basis_all` — Finset filter emptiness over 343 triples
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- `Jacobiator_basis_zero` — vanishes on any single basis triple
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## YangBaxter — Yang-Baxter Integrability (Layer 2d)
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**Purpose:** Proves that the 2×2 Sidon crossing block B = [[39/256, 1/7],
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[1/7, 39/256]] generates R = B⊗B satisfying R₁₂ R₁₃ R₂₃ = R₂₃ R₁₃ R₁₂.
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**Key fact:** Equality holds by alpha-equivalence (r↔s renaming). No tactic
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needed (`rfl`).
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## Layer 2 Architecture
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```
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Layer 1 (DiscreteFoundations): I₁–I₄ invariants, Sidon uniqueness
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Layer 2c (CartanConnection): NR bracket MC equation [μ,μ]=0 ← HERE
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Layer 2d (YangBaxter): Yang-Baxter integrability ← HERE
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Layer 2b (QUARANTINED): Eigensolid convergence, matrix norm bound
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Layer 2 (QUARANTINED): Golden endomorphism J²=J+I
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Layer 3 (GeometricConjectures): Kähler on ℂℙ⁷, Cartan connection, holonomy
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```
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The Sidon crossing matrix has 4 disjoint 2×2 blocks (pairs 0↔1, 2↔3, 4↔5,
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6↔7) with cross-block entries zero by Sidon address uniqueness (I₄). This
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block-diagonal structure makes all NR cross terms vanish structurally —
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the operadic grafting tree is totally disconnected.
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## FisherRigidity — Parabola Focal-Chord to Fisher-Rao Bridge
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**Purpose:** Bridges parabola focal-chord perpendicularity (s₁·s₂ = -1) to Fisher-Rao geometric rigidity and Hachimoji eigensolid braid dynamics.
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**Key structures:**
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- `ConjugatePair` — slope pair encoding perpendicularity
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- `isOrthogonal` — Fisher orthogonality vanishing predicate (s₁·s₂ = -1)
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- `eigensolidSpectralGapRaw` — 9984 (0.152 normalized), above 1/7 threshold
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**Eval witnesses:**
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- `parabolaConjugatePair (ofRawInt 65536)` → { slope_large := 158217, slope_small := -27147 }
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- `eigensolidSpectralGapRaw` → 9984
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- Normalized: 9984/65536 ≈ 0.152 > 1/7 ≈ 0.143 (proven via `spectralGapIntCompare`)
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## BMCTE Eigensolid Threshold (p/N = 1/7)
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**Result:** λ = exp(-p²/N) → 0 at threshold confirms theoretical prediction
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**Implementation:**
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1. NUVMAP sparse rollup (`extension_v2_chunked.py`) - saves state per step
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2. Spectral witness (`PIST/SpectralWitness.lean`) - computes spectral profile
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3. NEON spectral driver (`nuvmap_spectral_driver.py`) - verified 9984 gap value
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**Status:**
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- λ(eigensolid) = 0 confirmed via formula
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- Spectral gap trivially equals input matrix diagonal values (needs parametric sweep)
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- TODO(lean-port): NUVMAP module not yet ported to SilverSight
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**Files:**
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- `experiments/bosonic_continuous/*.json` — receipts
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- `formal/SilverSight/PIST/SpectralWitness.lean` — spectral witness
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- `experiments/graph_erdos_renyi/*.py` and `*.png` — visualization (note: 1/n ≠ 1/7 thresholds)
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## MCP Tools Available
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| Tool | Module | Purpose |
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|------|--------|---------|
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| `gemma-lean-port.find_todo_sorries` | tools-scripts/llm/gemma_lean_port_harness.py | Find TODO(lean-port) theorems |
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| `gemma-lean-port.port_theorem` | tools-scripts/llm/gemma_lean_port_harness.py | Generate + validate Lean proofs via Gemma4-12B |
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| `loogle-search.loogle_search` | (planned) tools-scripts/mcp/loogle_mcp.py | Search Lean/Mathlib symbols |
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## MCP Configuration
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Add to `~/.config/opencode/mcp.json`:
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```json
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{
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"mcpServers": {
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"gemma-lean-port": {
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"command": "python3",
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"args": ["SilverSight/5-Applications/tools-scripts/llm/gemma_lean_port_harness.py"]
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}
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}
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}
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```
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Env vars:
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- `GEMMA_URL` — Gemma endpoint (default: http://127.0.0.1:8081/v1/chat/completions)
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- `GEMMA_MODEL` — model name (default: gemma4-12b)
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## Baker Analogue Integration
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The VCN-FAMM-Sidon system is a Baker-style transcendental framework where:
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- Sidon addresses = injectivity constraints
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- Collapse functional Λ = ∑ wᵢⱼₖₗ log(aᵢ + aⱼ)
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- Scar energy Ω = ∑ scar.pressure
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- Theorem: |Λ| ≥ ε(X) ∨ Ω > 0 (rigidity OR scar emission)
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## ncDerived Architecture (2026-06-29)
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### Negative Control Witness
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```
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CSV axioms (ncObserved, residualRisk, scaleBandDeclared, weakAxesNames)
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│
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▼
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ncDerived = Q16_16.mul residualRisk scaleBandDeclared
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│
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├── ncDerived_mul (simp)
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├── ncDerived_independence_justification (CRT product principle link)
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└── Output: nc_derived in JSON (via .toFloat at I/O boundary)
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```
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### Q16_16 Values (Fixture Corpus)
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| Row | residualRisk | scaleBandDeclared | ncDerived (raw) | ncDerived (float) |
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|-----|-------------|-------------------|-----------------|-------------------|
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| Clf/Ssrc | 47/100 | 2/5 | 12320 | 0.187988 |
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| Stamp_Code | 11/25 | 1/5 | 5766 | 0.087982 |
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| Weak control | 27/50 | 1/5 | 7077 | 0.107986 |
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### FFS Physical Analog (Pending Validation)
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- arXiv:2602.17656 fractional Fermi sea occupancy ϑ(λ) ≤ 1/(2W+1)
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- Maps to ncDerived scale-band: scaleBandDeclared(W) = 1/(2W+1)
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- If validated: modulus 128 must change (no odd divisors; see `docs/math/arxiv_2602_17656_model_notes.md`)
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- Validation: KS test of ncDerived vs 1/(2W+1) quantization (Step 5, Milestone 7b)
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### Files Ported (Research Stack → SilverSight)
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| File | Status | Notes |
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|------|--------|-------|
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| `formal/SilverSight/RRC/Emit.lean` | ✅ Q16_16 ncDerived | Float-free compute path |
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| `formal/SilverSight/RRC/Q16_16Manifold.lean` | ✅ 278 rows | Q16_16 manifold fields |
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| `python/build_manifold.py` | ✅ Q16_16 emission | `lean_q16_16()` helper |
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## Beyond Rigorous — Anti-Smuggle Protocol
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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.
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### Layer 0: Deterministic Reproducibility Chain
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Every artifact must be independently reproducible from source. Non-determinism is the primary vector for smuggled assumptions [5].
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```
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Source inputs (equations, QUBO params, seeds)
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→ SHA-256 hash
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→ Python shim (deterministic, seed-locked)
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→ Lean build (deterministic)
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→ Output JSON
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→ SHA-256 receipt (pinned in CITATION.cff)
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Independent re-run on different hardware must produce identical hash chain.
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If not → non-determinism detected → assumption smuggling possible.
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```
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**Enforcement:**
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- All Python shims must accept `--seed` parameter (default 0)
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- All random number generators must be seeded explicitly
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- Lean `#eval` outputs must be cached and hashed
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- Receipt JSON includes `content_sha256` field for all generated artifacts
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### Layer 1: Multi-Model Cross-Validation
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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].
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```
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LLM A → generates Lean theorem
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LLM B → generates Lean theorem (same problem, blind)
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↓
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Lean compiler verifies both independently
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↓
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Formal equivalence checker confirms both prove same statement
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↓
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If one passes and the other fails → BOTH are suspect
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```
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**Enforcement:**
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- Critical theorems (Chentsov, FSR, ncDerived) must have dual provenance
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- Cross-validation receipt records both source models + Lean build hash
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- Surface-form similarity is NOT equivalence — Lean proofs can be cosmetically identical while logically different
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### Layer 2: Adversarial Mutation Testing
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The verifier itself must be tested. For every theorem, deliberately introduce errors and verify the system catches them [8].
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```bash
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# Mutation suite for every theorem in the build surface
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mutations/
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Emit.lean/
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001_flip_ncDerived_mul.lean # expected: FAIL
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002_swap_residual_scale.lean # expected: FAIL
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003_zero_ncObserved.lean # expected: FAIL
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004_float_instead_of_q16.lean # expected: FAIL
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```
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**Enforcement:**
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- `python3 scripts/qc-flag/` must pass on clean build AND fail on each mutation
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- Mutation coverage = `#mutations_that_cause_build_failure / #total_mutations`
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- If a mutation passes the build → the theorem is not specific enough
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### Layer 3: Symbolic Oracle Grounding (CAS/SMT)
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Lean proofs can be vacuously true or circular. Every numeric claim must be independently verified by a non-LLM symbolic engine [15][17].
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```
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Lean computes:
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ncDerived = Q16_16.mul (Q16_16.ofRatio 47 100) (Q16_16.ofRatio 2 5)
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↓
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SymPy computes:
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ncDerived = Rational(47,100) * Rational(2,5) = 47/250 = 0.188
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↓
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Z3 checks:
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Assert(lean_output == sympy_output ± epsilon)
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```
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**Enforcement:**
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- All `Q16_16.ofRatio` values must have a corresponding SymPy `Rational` verification
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- All `native_decide` blocks must have a Z3 SMT-LIB2 equivalent
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- CAS verification receipt stored alongside Lean receipt
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### Layer 4: Dual-Sided Proof Structure (Domain-Specific)
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For the Hachimoji/QUBO pipeline, the quantum encoding must be verified against a classical ground truth. This is the "clear-box middleware" architecture.
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```
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Classical Path (ground truth):
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DNA sequence → Biopython → expected state vector → SHA-256
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Quantum Path (execution):
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DNA sequence → Qiskit/PennyLane circuit → measured state → SHA-256
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Assertion Layer (every gate):
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├── Unitarity preserved? (‖U†U - I‖ < ε)
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├── Probability distribution consistent with DNA input?
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└── State vector fidelity ≥ threshold?
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Cross-Validation:
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├── Classical expected == Quantum measured (within noise)
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├── If mismatch → LogicViolation exception → data quarantined
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└── Log: every state transformation serialized to JSONL for audit
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```
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**Enforcement:**
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- Every circuit gate has an assertion wrapper checking unitarity
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- Every measurement logs: `{timestamp, gate, input_state, output_state, fidelity}`
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- Third-party observer can reconstruct exact state at any time t from logs alone
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- Full audit trail = "traceable proof"
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### Layer 5: Claim-State Ladder with Non-LLM Gate
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Every claim in the system must occupy one of these states. Promotion requires non-LLM evidence at every rung.
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| State | Requirement | LLM Role | Non-LLM Gate |
|
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|-------|------------|----------|-------------|
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| **BEAUTIFUL_PROVISIONAL** | Coherent hypothesis | Primary author | None |
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| **CALIBRATED_ENGINEERING_DELTA** | CAS/SMT verification | Provide code | SymPy/Z3 check |
|
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| **REVIEWED** | Multi-model cross-validation | Dual provenance | Lean compiler |
|
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| **VERIFIED** | Full reproducibility + adversarial tests | Audited | Mutation suite + hash chain |
|
||
|
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**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
|
||
|
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Before any formal work is accepted:
|
||
|
||
```bash
|
||
1. Deterministic check: python3 scripts/check_determinism.py # seed-locked, hash-verified
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2. Cross-validation: python3 scripts/cross_validate.py # dual LLM provenance check
|
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3. Mutation suite: python3 scripts/qc-flag/ # verify verifier catches errors
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4. CAS grounding: python3 scripts/verify_with_sympy.py # numeric ground truth
|
||
5. Build gate: lake build SilverSight # Lean compiler
|
||
```
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||
|
||
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 |
|
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| 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)
|