2 commits

Author	SHA1	Message	Date
Brandon Schneider	49f0dfb31a	chore(infra): stage pist canary labeling and training shims + flexure report ... - label_canary_theorems.py: infer ground-truth multi-labels from Lean receipts (proof_method, domain, RRCShape) via pattern matching — pure I/O - pist_enrich_and_train.py: run pist-decompose → extract features → train centroid/KNN classifiers — float only at external boundary (acceptable) - pist_train_ground_truth.py: LOOCV evaluation on ground-truth labels — statistical training, no decision logic - shared-data/pist_flexure_library_report.json: updated flexure library report All three shims: pure I/O, no admissibility/gating decisions, float only in normalization (external boundary). Complies with AGENTS.md §Programming Choice Flow. Outputs are regenerable from source receipts. Build: Compiler 3311 jobs, 0 errors (no Lean changes). Generated with Devin (https://cli.devin.ai/docs) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>	2026-05-26 22:32:13 -05:00
Brandon Schneider	60329d7184	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