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- Prover-Integrated Orchestration Layers (L0-L3): Goedel-Prover-V2 watchdog, BFS-Prover-V2 swarm consensus, bf4prover topology adaptation - FAMM Verilator benchmark: uniform vs preshaped delay comparison (4.4x speedup) - Swarm topological device prober: 11 agents probing traces, caps, delays, errors, vias, PDN - Spec sheet puller: 10 components with key params and topological relevance - Virtual FPGA system tests: 6/6 passed, 134K ops/s throughput - Fixed merge conflicts in AI-Newton test_experiment.ipynb
232 lines
5.1 KiB
Markdown
232 lines
5.1 KiB
Markdown
# F01-F12 Verification Protocol
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## Layer 1: Mathematical Verification (Wolfram Alpha)
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**Every equation verified against Wolfram Alpha:**
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```
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Input: 121.567 * 65536
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Wolfram: 7,967,421.952
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Rounded: 7,967,422
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Q16.16: 0x0079.9120
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```
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**Required for each F01-F12:**
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- Closed-form solution where available
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- Numerical test with 3+ input sets
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- Edge cases (zero, infinity, singularities)
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- Document Wolfram query in comment
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---
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## Layer 2: Computational Verification (Lean 4)
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**Every `def` requires:**
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```lean
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def encodeWavelength (λ : Q16_16) : Q16_16 := ...
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#eval encodeWavelength (Q16_16.ofFloat 121.567)
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-- Expected: 0x0079.9120
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-- Wolfram verified: 121.567 * 65536 = 7,967,422
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```
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**Every `def` requires theorem:**
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```lean
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theorem encodeWavelength_total (λ : Q16_16) :
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∃ result, encodeWavelength λ = result := by
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simp [encodeWavelength]
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```
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**Build must pass:**
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```bash
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cd 0-Core-Formalism/lean/Semantics && lake build
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```
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---
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## Layer 3: Determinism Verification
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**Test: Same inputs → Same outputs (always)**
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```python
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def test_determinism():
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for i in range(1000):
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result = f01_encode(121.567)
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assert result == 0x0079.9120
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```
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**Failure modes:**
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- Non-deterministic: Reject
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- Undefined behavior: Reject
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- Platform-dependent: Reject
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---
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## Layer 4: Symbolic Stripping Verification
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**Test: Remove all semantic content, verify computation**
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```
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Original: encode_hydrogen_wavelength(λ)
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Stripped: N_7 = floor(N_0 * 65536 + 32768) / 65536
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Test: N_0 = 121.567 → N_7 = 0x0079.9120
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Pass: Computation identical with/without names
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```
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**Required:** 100% pass rate on adversarial stripping test.
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---
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## Layer 5: Property-Based Testing
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**QuickCheck-style random testing:**
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```lean
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theorem encode_roundtrip (λ : Q16_16) (h : λ ≥ 0) :
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|decode (encode λ) - λ| < 0.0001 := by
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-- Property: encode then decode ≈ original
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```
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**Test properties:**
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- Roundtrip (encode→decode ≈ original)
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- Monotonicity (x < y → f(x) < f(y))
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- Boundedness (output in valid range)
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- Idempotence (f(f(x)) = f(x) where applicable)
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---
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## Layer 6: Cross-Implementation Verification
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**Two independent implementations:**
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1. **Lean 4** (canonical): `0-Core-Formalism/lean/Semantics/`
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2. **Python** (reference): `4-Infrastructure/shim/validation/`
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**Verify bit-identical outputs:**
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```python
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def test_cross_impl():
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for input_val in test_vectors:
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lean_result = lean_call(input_val)
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py_result = python_call(input_val)
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assert lean_result == py_result # Bit-identical
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```
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---
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## Layer 7: Statistical Verification (6.5σ)
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**For claims with statistical component:**
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```
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Claim: Compression ratio > baseline
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Test: 1000 random inputs
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Mean: μ, Std: σ
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Achieved: x = 6.5σ above baseline?
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Required: Yes for 6.5σ claim
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```
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**Standard:** 6.5σ = 99.999999992% confidence
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**Minimum:** 5σ = 99.9999427% confidence
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**Below 5σ:** REJECT
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---
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## Verification Checklist per FXX
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| Layer | Test | Pass Criteria | Status |
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|-------|------|---------------|--------|
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| 1 | Wolfram Alpha | 3+ numerical cases verified | ☐ |
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| 2 | Lean #eval | All public functions have #eval | ☐ |
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| 3 | Totality theorem | Every `def` has totality proof | ☐ |
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| 4 | Determinism | 1000 iterations, identical outputs | ☐ |
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| 5 | Symbolic stripping | Passes adversarial test | ☐ |
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| 6 | Property tests | Roundtrip, monotonicity, bounds | ☐ |
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| 7 | Cross-impl | Bit-identical with Python shim | ☐ |
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| 8 | Statistical | 6.5σ where applicable | ☐ |
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| 9 | Lake build | `lake build` passes | ☐ |
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| 10 | No sorry | Zero `sorry` in code | ☐ |
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**All 10 must pass for VALIDATED status.**
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---
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## Automated Verification Script
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```bash
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#!/bin/bash
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# verify_fxx.sh
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FXX=$1
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echo "Verifying $FXX..."
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# Layer 2: Lean build
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cd 0-Core-Formalism/lean/Semantics
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if ! lake build; then
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echo "FAIL: lake build"
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exit 1
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fi
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# Layer 4: Adversarial stripping
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if ! python3 4-Infrastructure/shim/adversarial_symbolic_stripping.py --test $FXX; then
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echo "FAIL: symbolic stripping"
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exit 1
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fi
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# Layer 6: Cross-implementation
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if ! python3 4-Infrastructure/shim/cross_verify.py --lean $FXX; then
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echo "FAIL: cross-implementation"
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exit 1
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fi
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echo "PASS: $FXX verified"
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```
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---
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## Best Verification: Compositional
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**Verify components, compose to system:**
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```
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F01 verified + F02 verified + ... + F12 verified
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↓
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Compose: F01∘F02∘...∘F12
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↓
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Verify composition: Master equation
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```
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**Do not:** Verify only final output
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**Do:** Verify each FXX independently, then verify composition
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---
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## Summary
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**Best verification = 10-layer compositional checking:**
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1. Wolfram Alpha (math)
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2. Lean #eval (compute)
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3. Totality theorems (total functions)
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4. Determinism (1000 iterations)
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5. Symbolic stripping (no semantic deps)
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6. Property-based (random testing)
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7. Cross-implementation (bit-identical)
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8. Statistical (6.5σ)
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9. Lake build (compiles)
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10. No sorry (proven correct)
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**10/10 required for publication.**
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Current F01-F12 status: 0/10
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---
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**Document ID:** VERIFICATION-PROTOCOL-2026-05-06
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**Standard:** 10-layer compositional verification
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**Target:** 100% pass rate for all F01-F12
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**Current:** 0% — blocked on F01-F12 formalization
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