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- 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> |
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| .. | ||
| artifacts | ||
| data | ||
| examples | ||
| proof_traces | ||
| schemas | ||
| pist_canary_receipts.jsonl | ||
| pist_canary_report.json | ||
| pist_canary_results.jsonl | ||
| pist_flexure_library_report.json | ||
| pist_route_repair_benchmark.json | ||
| pist_route_repair_v11_benchmark.json | ||
| pist_route_repair_v12_benchmark.json | ||
| pist_route_repair_v13b_benchmark.json | ||
| pist_route_repair_v14_benchmark.json | ||
| pist_tier1_vs_tier2_comparison.json | ||
| pist_tier2b_confusion_matrices.json | ||
| pist_trace_canary_report.json | ||
| pist_trace_canary_vectors.jsonl | ||
| pist_trace_routing_benchmark.json | ||
| pist_trace_scaled_report.json | ||
| pist_trace_scaled_vectors.jsonl | ||
| pist_trace_tier2b_report.json | ||
| pist_trace_tier2b_vectors.jsonl | ||
| pist_trace_v2_canary_report.json | ||
| pist_trace_v2_ground_truth_labels.jsonl | ||
| rrc_pist_exact_validation.json | ||
| rrc_pist_feature_vectors.jsonl | ||
| rrc_pist_training_report.json | ||