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Author SHA1 Message Date
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 
- 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 
- 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 
- 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 
- 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 
- .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
Allaun Silverfox
86387f220b Add example Semantic Mass route plow config 2026-05-16 13:50:19 -05:00
Allaun Silverfox
cb34d4c93c Add Semantic Mass route plow receipt schema 2026-05-16 13:42:25 -05:00