Datasets:
Frozen-prediction robustness analyses
Post-hoc exclusion sensitivity, not new ground truth or retraining. IoU 0.5; 10,000 paired whole-cluster resamples. All predictions and rules are frozen for this analysis.
| subset | pages | base clusters | ProofJudge F1 | Argon F1 | delta 95% CI |
|---|---|---|---|---|---|
| unfiltered | 2871 | 486 | 0.478 | 0.360 | [+0.088, +0.148] |
| published | 2765 | 469 | 0.481 | 0.372 | [+0.079, +0.140] |
| audit_excluded | 2680 | 460 | 0.489 | 0.377 | [+0.080, +0.141] |
| structural_quarantine | 2581 | 460 | 0.506 | 0.395 | [+0.078, +0.143] |
| convention_sensitivity | 1766 | 457 | 0.627 | 0.397 | [+0.187, +0.271] |
Exclusions are cumulative after published: author-audit exclusions; drop/reorder; component transplants and local-icon. Entire records are quarantined, never relabelled clean. The last subset changes task coverage and is not a replacement benchmark.
Base clusters merge source generator + base page across general/local/multi/negative variants; requirement clusters further merge generator/design language/theme. Real pages use URL/page identity, then hostname/app. Neither grouping corrects test-informed selection.
Published-pool diagnostics
| model | F1 | clean flagged | scoring errors | normalized kind right / matched known | aspect right / matched known |
|---|---|---|---|---|---|
| rolejudge-v7f-r128soup-cut | 0.481 | 7.4% | 0 | 839/848 | 267/304 |
| gemini-4-argon | 0.372 | 17.8% | 0 | 709/853 | 282/504 |
| claude-opus-5-5-medium | 0.308 | 78.3% | 0 | 898/1064 | 283/611 |
| gpt-6.1-sol | 0.300 | 36.6% | 3 | 710/805 | 196/395 |
| rolejudge-v7f-r128soup | 0.455 | 51.6% | 0 | 1038/1058 | 385/443 |
| rolejudge-v7f-2500-cut | 0.405 | 6.9% | 0 | 679/688 | 182/223 |
| qwen3.5-9b-base | 0.043 | 87.8% | 282 | 428/603 | 214/408 |
Kind maps the consistency-prompt label inconsistent to the stored label brand; no other alias is mapped. Kind/aspect accuracy is conditional on matched boxes with known labels. It is not explanation correctness. Errors follow the existing scorer (non-dict answer), not a strict schema validator.
Requirement-cluster intervals
{ "clusters": 121, "min_size": 1, "max_size": 414, "vs": { "gemini-4-argon": { "delta": 0.10899280004942724, "ci95": [ 0.04467793849992695, 0.17696848361181572 ] }, "claude-opus-5-5-medium": { "delta": 0.1730305063027215, "ci95": [ 0.14083593515714832, 0.20652628574165327 ] }, "gpt-6.1-sol": { "delta": 0.1808314426852562, "ci95": [ 0.13080445467071503, 0.22946292326254902 ] }, "rolejudge-v7f-r128soup": { "delta": 0.02514385754245596, "ci95": [ 0.005967370588310595, 0.04313225869484571 ] }, "rolejudge-v7f-2500-cut": { "delta": 0.07576445358264244, "ci95": [ 0.03961699314203121, 0.10928092511103336 ] }, "qwen3.5-9b-base": { "delta": 0.4375702111145328, "ci95": [ 0.3703972864951111, 0.4854255803273521 ] } } }
Public reproduction
Run python robustness.py --data-dir . --output recomputed.json (Python + NumPy). records.jsonl contains per-record sufficient statistics for frozen predictions, opaque cluster IDs and exclusion flags. Original release IDs (ct-*) are preserved. The 106 excluded-* records have counts only; their screenshots are not added to the original dataset. This reproduces statistical reanalysis, not model inference. The original Parquet splits and their labels remain unchanged.
The historical implementation recorded in results.json belongs to the paper workspace; the portable command above requires only files in this release. No independent blind human validation or new training-data ablation is claimed.