Research-Stack/shared-data
Brandon Schneider ff8e71fa8d 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
..
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
proof_traces feat(pist): Tier 2 trace canary — 24 multi-tactic Lean theorems 2026-05-26 02:37:22 -05:00
schemas Add adversarial duals receipt schema 2026-05-17 15:11:34 -05:00
pist_canary_receipts.jsonl feat(pist): canary batch — 42 real Lean theorems through full pipeline 2026-05-26 02:09:08 -05:00
pist_canary_report.json feat(pist): canary batch — 42 real Lean theorems through full pipeline 2026-05-26 02:09:08 -05:00
pist_canary_results.jsonl feat(pist): canary batch — 42 real Lean theorems through full pipeline 2026-05-26 02:09:08 -05:00
pist_flexure_library_report.json chore(infra): stage pist canary labeling and training shims + flexure report 2026-05-26 22:32:13 -05:00
pist_route_repair_benchmark.json feat(pist): Route-Repair Loop v1 — 11% recovery rate 2026-05-26 11:38:01 -05:00
pist_route_repair_v11_benchmark.json feat(pist): Route-Repair v1.1 — 60 failure flexures ingested, obstruction-type voting 2026-05-26 12:17:42 -05:00
pist_route_repair_v12_benchmark.json feat(pist): Route-Repair v1.2 — 36% recovery from 0% 2026-05-26 12:38:17 -05:00
pist_route_repair_v13b_benchmark.json feat(pist): Route-Repair v1.3b — multi-step templates, 54% recovery 2026-05-26 12:56:24 -05:00
pist_route_repair_v14_benchmark.json feat(pist): v1.4a — 100% recovery across 35 theorems 2026-05-26 14:03:59 -05:00
pist_tier1_vs_tier2_comparison.json feat(pist): Tier 2 beats Tier 1 on 5/6 independent targets 2026-05-26 09:57:10 -05:00
pist_tier2b_confusion_matrices.json feat(pist): Tier 2 beats Tier 1 on 5/6 independent targets 2026-05-26 09:57:10 -05:00
pist_trace_canary_report.json feat(pist): Tier 2 trace canary — 24 multi-tactic Lean theorems 2026-05-26 02:37:22 -05:00
pist_trace_canary_vectors.jsonl feat(pist): Tier 2 trace canary — 24 multi-tactic Lean theorems 2026-05-26 02:37:22 -05:00
pist_trace_routing_benchmark.json feat(pist): routing benchmark — 30% tactic family prediction vs 20% baseline 2026-05-26 11:28:05 -05:00
pist_trace_scaled_report.json feat(pist): scaled Tier 2B batch — 21/64 theorems, RRCShape 71.4% 2026-05-26 10:34:32 -05:00
pist_trace_scaled_vectors.jsonl feat(pist): 57/64 theorem batch — 89.5% proof status LOOCV 2026-05-26 11:20:17 -05:00
pist_trace_tier2b_report.json feat(pist): Tier 2B spectral decomposition — first real proof-path spectra 2026-05-26 03:08:05 -05:00
pist_trace_tier2b_vectors.jsonl feat(pist): Tier 2B spectral decomposition — first real proof-path spectra 2026-05-26 03:08:05 -05:00
pist_trace_v2_canary_report.json feat(pist): Tier 2B — instrumented trace bridge with real transition matrices 2026-05-26 02:56:46 -05:00
pist_trace_v2_ground_truth_labels.jsonl feat(pist): Tier 2 beats Tier 1 on 5/6 independent targets 2026-05-26 09:57:10 -05:00
rrc_pist_exact_validation.json feat(pist): receipt canonicalization v2 with structural math features 2026-05-26 01:55:09 -05:00
rrc_pist_feature_vectors.jsonl feat(pist): receipt canonicalization v2 with structural math features 2026-05-26 01:55:09 -05:00
rrc_pist_training_report.json feat(pist): receipt canonicalization v2 with structural math features 2026-05-26 01:55:09 -05:00