docs/provenance.md

Provenance

What this release was built from

Three source trees, all read-only at staging time.

1. Camera-ready ancillary aggregates — the eight CSVs shipped with the camera-ready submission (camera_ready_2026-08-07/anc/, dated 2026-08-11 and 2026-08-14). Copied verbatim into data/aggregate/, with a setting_id column added. These are the authoritative published numbers.

2. Post-review analysis artifacts (results_2026-07-12 through results_2026-07-14) — per-problem matched labels, six-setting router retraining, confidence-probe metrics, and the Round-2 verification tables. Source of data/matched_labels.csv, data/splits/six_setting_splits.csv, data/router/*, and data/confidence/six_setting_*.

3. Primary-split routing artifacts — the 4,181-problem OmniMath routing benchmark, its 80/10/10 split, and the per-problem confidence-probe outputs. Source of data/splits/primary_omnimath_splits.csv, the OmniMath rows of data/problems.csv, and data/confidence/primary_omnimath_confidence_predictions.csv.

Problem metadata for JEEBench, SciBench, and LAB-Bench comes from the project's prepared benchmark slices; the canonical-ID crosswalk comes from the project's own problem-crosswalk registry.

Source commits are recorded in registry/release_manifest.json.

Verification performed at staging time

Each of these was computed, not assumed. Full numbers are in the release's validation report.

• Oracle recomputation. Recomputing oracle_label from the four correctness flags in the fixed order Baseline -> Single -> PER -> Broadcast reproduces the stored label for all 15,088 released rows, zero mismatches. Also zero mismatches on any_protocol_solved.
• Aggregate reproduction. The per-problem labels reproduce anc/matched_protocol_coverage.csv for all ten settings to two decimals, and anc/oracle_label_distribution.csv for all ten settings to two decimals.
• Cross-solver problem-set identity. For all five paired (benchmark, condition) combinations, the two solvers cover an identical canonical problem set after ID reconciliation — symmetric difference empty in every case.
• Uniqueness. (setting_id, problem_id) is unique in every table; no duplicates in any setting.
• Split disjointness. Train/dev/test are pairwise disjoint and exhaustive in both split schemes.
• example_id reproducibility. The example_id values are sha1("<setting_id>:<source_problem_id>")[:12] prefixed by the setting. This formula was re-derived and matches the stored values in all six settings.

Known discrepancies, stated rather than hidden

The primary routing benchmark and the post-review matched labels disagree on 3 of 4,181 OmniMath gpt-oss-120b problems (omni2_94, omni2_3997, omni2_4006). In each case the primary table records baseline_final_passed = False while the post-review matched labels record baseline_correct = 1, flipping the oracle label from single_agent to baseline_llm. Aggregate impact: baseline solve rate 56.76% (primary) versus 56.83% (post-review, the published number); label counts differ by 3 between the two tables.

This release stages the post-review labels in data/matched_labels.csv, because those are the ones that reproduce the published anc/ aggregates exactly. The primary table is used only for OmniMath problem metadata (tier, difficulty, source) and for the 423-problem split — neither of which is affected. The cause of the three-row disagreement was not determined at staging time.

The primary confidence probe has a 73% clean-parse rate. 113 of 423 test rows and 109 of 416 dev rows fell back after JSON parsing failed on up to three attempts. Those rows are released with status = fallback_after_failure so they can be excluded. They are not clean measurements.

Two avg_tokens cells are nan in data/router/six_setting_text_metadata_verification.csv, for the Gemma OmniMath and Gemma LAB-Bench settings, where per-problem cost accounting covered only 5, 5, and 2 of the held-out problems respectively. The cost_n and missing_cost_n columns record this directly.

What is deliberately not here

• MaScQA (mascqa__text_only__gpt_oss_120b, 642 rows). Exists in the source tree. Excluded: no matched Gemma run, not one of the paper's ten settings, and CC-BY-NC-SA-4.0.
• The Gemma-3-27B tier-sampled OmniMath slice (omnimath2__tier_sampled_833__gemma3_27b, 833 rows). Exists in the source tree. Excluded: a scope check, not one of the paper's ten settings.
• Raw protocol traces. Multi-gigabyte generated text. Out of scope for this table-first release.
• Per-problem token, model-call, and wall-time costs. Available in the source tree for the OmniMath primary split only. Not staged; cost appears here only through the aggregate tables.
• Frozen-LLM-router and confidence-cascade per-problem predictions. These exist for the primary 423-problem split and support data/aggregate/main_routing_heldout.csv. Not staged in this pass.