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Brandon Schneider c7eed520f9 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
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artifacts Expand devcontainer with full Python stack, add MCP servers (Notion/AWS), strengthen Lean theorems 2026-05-19 01:52:14 -05:00
data feat: eigensolid convergence proof + QC flagging tool + full pass/fail review 2026-05-14 00:04:08 -05:00
examples Add adversarial duals 16D anchor pack 2026-05-17 15:47:38 -05:00
schemas Add adversarial duals receipt schema 2026-05-17 15:11:34 -05:00
rrc_pist_exact_validation.json feat(pist): validation + calibration harness 2026-05-26 01:49:21 -05:00
rrc_pist_feature_vectors.jsonl feat(pist): validation + calibration harness 2026-05-26 01:49:21 -05:00
rrc_pist_training_report.json feat(pist): validation + calibration harness 2026-05-26 01:49:21 -05:00