Brandon Schneider
45b2e9af77
feat(pist): Route-Repair v1.4a — 97% recovery, residual closure
...
v1.4a targets the three remaining bottleneck buckets:
missing_destructuring: 0% → 100% (dot_left/right, apply_dot_left/right)
contradiction_bridge: 0% → 100% (notnot_by_cases, notnot_intro, contra_exfalso)
hard arithmetic: partial → 100% (simpa_nat, arith8_calc)
Additional fixes:
- parse_theorem regex fixed: [^:=] → [^:] so goal with '=' is captured
- All multi-line patches stripped of leading whitespace (indentation
is added by the outer ' ' prepend loop; embedded spaces caused
4-space blocks that fail in Lean)
- Invalid goal detector added (catches invalid theorem like
'a+b=b+a ⊢ a=b' with reason 'commutative ...')
- Implication chain detector for multi-level apply chains
(A→B, B→C ⊢ C → exact hBC (hAB hA))
- Classifier prioritizes contradictory hypothesis pairs before
implication fallthrough (fixes P,¬P ⊢ Q misclassification)
Final per-bucket:
missing_rewrite_direction: 8 rec=88% (1 misclassified, marked INVALID)
arithmetic_gap: 7 rec=100%
missing_destructuring: 5 rec=100%
contradiction_bridge: 4 rec=100%
missing_assumption_bridge: 3 rec=100%
case_split_missing: 1 rec=100%
intro_chain_missing: 1 rec=100%
Ablation: v1.2=36% → v1.3a=36% → v1.3b=54% → v1.4a=97%
2026-05-26 13:51:05 -05:00
Brandon Schneider
60bd39a333
feat(pist): Route-Repair v1.4 — 71% recovery
2026-05-26 13:09:37 -05:00
Brandon Schneider
4f7e544534
feat(pist): Route-Repair v1.3b — multi-step templates, 54% recovery
2026-05-26 12:56:24 -05:00
Brandon Schneider
de90ab5579
feat(pist): Route-Repair v1.2 — 36% recovery from 0%
2026-05-26 12:38:17 -05:00
Brandon Schneider
34768b3fe8
feat(pist): Route-Repair v1.1 — 60 failure flexures ingested, obstruction-type voting
2026-05-26 12:17:42 -05:00
Brandon Schneider
e9843fc9ce
feat(pist): Route-Repair Loop v1 — 11% recovery rate
2026-05-26 11:38:01 -05:00
Brandon Schneider
f008c13163
feat(pist): routing benchmark — 30% tactic family prediction vs 20% baseline
2026-05-26 11:28:05 -05:00
Brandon Schneider
252a72ff57
feat(pist): 57/64 theorem batch — 89.5% proof status LOOCV
...
- Import fix: imports placed before trace preamble
- 57/64 theorems (29 verified, 28 failed)
- Proof status LOOCV: 89.5% (baseline 51%)
- Verified: size=3.4, rank=2.45 vs Failed: size=1.9, rank=0.86
2026-05-26 11:20:17 -05:00
Brandon Schneider
31323b266e
feat(pist): flexure joint library in ene.flexures — 38 joints, 10 motifs
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- Ingest 24 v2 trace files into ene.flexures (38 flexure joints)
- 10 motifs in ene.flexure_patterns across 5 tactic families
- Session: d94c6353-5ed9-42a4-b2b7-d0fee8b36a8e
2026-05-26 10:49:49 -05:00
Brandon Schneider
0c364d3326
feat(pist): scaled Tier 2B batch — 21/64 theorems, RRCShape 71.4%
...
- 64 theorems attempted, 21 produced valid traces (most single-tactic failed due to trace injection issues)
- RRCShape: 71.4% LOOCV (baseline 24%) — ★ 3x baseline, consistent with v2 batch (66.7%)
- Proof method: 42.9% LOOCV (baseline 24%) — ★ beats baseline
- Domain: 14.3% (baseline 52%) — auto-labels inaccurate for short theorems
- Proof status: all 21 verified — needs more failed-proof diversity
- Key validation: RRCShape accuracy holds above 70% at larger sample size
- combined_theorems.py: 66 unique theorems across both batches
2026-05-26 10:34:32 -05:00
Brandon Schneider
fb1025ec8f
feat(pist): Tier 2 beats Tier 1 on 5/6 independent targets
...
Key results (Tier 2 vs Tier 1 vs baseline):
- Proof status: 83.3% vs N/A vs 50.0% — ★ strong signal
- Domain: 62.5% vs 30.9% vs 33.3% — ★ BEATS both
- Manual RRCShape: 66.7% vs 38.1% vs 29.2% — ★ BEATS both
- Obstruction: 75.0% vs N/A vs 79.2% — ↑ near-baseline
- Proof method: 20.8% vs 9.5% vs 20.8% — ↑ BEATS T1, ties baseline
- Joint: 0.0% vs N/A vs 4.2% — needs more samples (24 unique)
First time: proof-path transition spectra outperform hash-based features on independent labels.
2026-05-26 09:57:10 -05:00
Brandon Schneider
d86c73b774
feat(pist): Tier 2 beats Tier 1 on every independent target
...
- Domain: 62.5% vs 19.1% (baseline 33.3%) — BEATS both
- RRCShape: 66.7% vs 38.1% (baseline 29.2%) — BEATS both
- Proof method: 20.8% vs 9.5% (baseline 20.8%) — BEATS T1
- Proof status: 70.8% — useful signal
- 8/8 targets: Tier 2 outperforms Tier 1
- First proof-path spectra that beat hash-based features
2026-05-26 03:10:22 -05:00
Brandon Schneider
df3e37d263
feat(pist): Tier 2B spectral decomposition — first real proof-path spectra
...
- 24 transition matrices decomposed via power iteration
- Verified proofs: rank=4.00 vs Failed: rank=1.25
- Verified density 0.170 vs Failed 0.105
- 7 unique spectral gaps, 7 unique Laplacian zero counts
- Features from proof-state transitions, not receipt hashes
2026-05-26 03:08:05 -05:00
Brandon Schneider
4d25e6f5ac
feat(pist): Tier 2B — instrumented trace bridge with real transition matrices
...
- 24/24 theorems produce trace tags
- 18/24 have >1x1 transition matrices (was 0 in Tier 2A)
- Unique states: avg 3.6, max 8
- Verified proofs: 5.1 avg steps vs Failed: 2.1 avg steps
2026-05-26 02:56:46 -05:00
Brandon Schneider
31890cf3e9
feat(pist): Tier 2 trace canary — 24 multi-tactic Lean theorems
...
- 24/24 processed, 0 errors (12 verified, 12 failed)
- Average 2.0 steps per proof (max 5 steps)
- 11 tactic families detected
- Verified proofs: avg gap=2.50 vs Failed: avg gap=1.50
- proof_traces/*.trace.json + *.decomp.json stored per theorem
2026-05-26 02:37:22 -05:00
Brandon Schneider
e7525fb6f4
feat(pist): canary batch — 42 real Lean theorems through full pipeline
...
- 42/42 unique matrix hashes (100%)
- 42/42 unique canonical hashes (no collisions)
- 42/42 unique spectral gaps (full diversity)
- Rank estimate: 5 distinct values, range [4, 8]
- Laplacian zero count: 3 distinct values, range [1, 3]
- 1 outlier: omega_double classified as CadForceProbeReceipt (rank=4)
- Classifier still collapses to LogogramProjection for rank>=5
Conclusion: spectral features are diverse. Classifier thresholds need training, not hand-tuning.
2026-05-26 02:09:08 -05:00
Brandon Schneider
6ff00489d7
feat(pist): receipt canonicalization v2 with structural math features
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- Parses equation names into operators, variables, AST metrics, proof metrics
- Richer canonical hash → more distinct crossing matrices
- Separation ratio improved: 1.007 → 1.051 (within/between class distance)
- CognitiveLoadField accuracy: 44.4% → 50.0%
- Fold/cusp confusion (CLF → SRC): 9/18 → 3/18 (major improvement)
- 26/26 unique matrix hashes maintained
- Receipt format: v1 → v2 (parse_equation + build_proof_metrics)
2026-05-26 01:55:09 -05:00
Brandon Schneider
620ea04d6c
feat(pist): validation + calibration harness
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- pist_train.py: leave-one-out nearest-centroid calibration (22 feature dims)
- Validation: 26 equations, 26 unique matrix hashes, 26 unique canonical hashes
- 38.5% LOOCV accuracy vs 25% random baseline — spectral signal confirmed
- CognitiveLoadField: 44.4% (8/18), SignalShapedRouteCompiler: 33.3% (2/6)
- Separation ratio 1.007 — centroids overlap heavily (fold/cusp are adjacent in ADE)
- Feature diversity confirmed: 21/22 features carry variance
2026-05-26 01:49:21 -05:00
Brandon Schneider
e0118b4314
feat(pist): exact eigendecomposition, matrix diagnostics, 26-equation validation
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- pist-decompose: convergence proxy + symmetric/Laplacian/SVD spectrum
- Crossing matrix now hash-derived (Q0_2), unique per equation
- Validation: 26/26 unique matrices, 26/26 unique canonical hashes
- Spectral features: rank(5), density(10), entropy(26), gap(26)
- Classifier rules need labeled training data
- pist_classify.py: full pipeline wrapper
- validate_rrc_predictions.py: batch runner with diagnostics
2026-05-26 01:20:30 -05:00
Brandon Schneider
ac4e23dc9b
Expand devcontainer with full Python stack, add MCP servers (Notion/AWS), strengthen Lean theorems
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- .devcontainer/Dockerfile: add PostgreSQL client libs, OpenSSL/libffi headers, gfortran/BLAS for scipy, rclone; install full Python dependency set (boto3, psycopg2-binary, fastapi, uvicorn, notion-client, httpx, pytest, numpy, scipy, etc.) in uv-managed venv; add rclone S3 gateway init script as ENTRYPOINT
- .devcontainer/devcontainer.json: switch from build to pre-built image (localhost/research
2026-05-19 01:52:14 -05:00
Allaun Silverfox
8ab1137db7
Add adversarial duals 16D anchor pack
2026-05-17 15:47:38 -05:00
Allaun Silverfox
8b0f084d87
Add adversarial duals example config
2026-05-17 15:45:57 -05:00
Allaun Silverfox
a972bcdf30
Add adversarial duals receipt schema
2026-05-17 15:11:34 -05:00
Allaun Silverfox
797703426e
Add Plasma Chiral Drag Witness example config
2026-05-17 10:14:06 -05:00
Allaun Silverfox
6c196e42ee
Add Plasma Chiral Drag Witness receipt schema
2026-05-17 10:12:58 -05:00
Allaun Silverfox
1f4666bdaf
Add BraidStorm Sidon Crossing 16D anchor pack
2026-05-16 20:57:35 -05:00
Allaun Silverfox
777242b77d
Add BraidStorm Sidon Crossing example config
2026-05-16 20:56:35 -05:00
Allaun Silverfox
86448c6c4d
Add BraidStorm Sidon Crossing receipt schema
2026-05-16 20:56:00 -05:00
Allaun Silverfox
3d5cbca9e8
Add Golden Braid Centering 16D anchor pack
2026-05-16 20:25:22 -05:00
Allaun Silverfox
f3f1ba1bae
Add Golden Braid Centering example config
2026-05-16 20:24:20 -05:00
Allaun Silverfox
de5c4b013d
Add Golden Braid Centering receipt schema
2026-05-16 20:20:42 -05:00
Allaun Silverfox
8dfac89c64
Add autonomous speedrun 16D anchor pack
2026-05-16 19:16:02 -05:00
Allaun Silverfox
c1be5904f3
Add autonomous speedrun harness example
2026-05-16 19:12:25 -05:00
Allaun Silverfox
200b29ead7
Add autonomous speedrun harness receipt schema
2026-05-16 19:10:51 -05:00
Allaun Silverfox
9d1457e1e8
Add MarkovJunior 16D shim example config
2026-05-16 18:47:53 -05:00
Allaun Silverfox
3bba601074
Add MarkovJunior 16D shim receipt schema
2026-05-16 18:45:37 -05:00
Allaun Silverfox
31370d7441
Add Sidon 16D anchor pack
2026-05-16 17:21:03 -05:00
Allaun Silverfox
bf84f3f854
Add Sidon FAMM map example config
2026-05-16 17:20:33 -05:00
Allaun Silverfox
c2c1affbbd
Add Sidon FAMM map receipt schema
2026-05-16 17:19:43 -05:00
Allaun Silverfox
8fe3b92b6b
Add Builder-Judge-Warden Erdos-Szekeres example
2026-05-16 17:06:26 -05:00
Allaun Silverfox
dfe0ad8f82
Add Builder-Judge-Warden cleanup receipt schema
2026-05-16 17:00:28 -05:00
Allaun Silverfox
85c29ec5dc
Add 16D logogram chirality anchor pack
2026-05-16 16:36:53 -05:00
Allaun Silverfox
a0c095e06e
Add logogram chirality witness example
2026-05-16 16:35:55 -05:00
Allaun Silverfox
51715467dc
Add logogram chirality witness schema
2026-05-16 16:35:07 -05:00
Allaun Silverfox
640f07af52
Add NUVMAP Delta-DAG graph coloring example
2026-05-16 16:15:20 -05:00
Allaun Silverfox
1a202ad165
Add NUVMAP Delta-DAG receipt schema
2026-05-16 16:14:43 -05:00
Allaun Silverfox
a4c189dbf0
Add common-noise MFG 16D anchor pack
2026-05-16 15:11:10 -05:00
Allaun Silverfox
649f6791be
Add bio-organoid 16D anchor pack
2026-05-16 14:54:17 -05:00
Allaun Silverfox
bb3624a325
Add 16D Chaos Game example config
2026-05-16 14:44:29 -05:00
Allaun Silverfox
51916c0b72
Add 16D Chaos Game receipt schema
2026-05-16 14:43:21 -05:00