Claim-faithful v3: domain experiments, paper-style pages, artifact links; purge stale generic pages
89bdba3 verified | { | |
| "claim_index": 2, | |
| "official_claim": "Theorem 5.1 bounds the pseudo-dimension of piecewise-polynomial training-loss objectives (with training loss f equal to validation loss g) as O(p*d*log(M_f+T_f+d) + p^2*d*log Delta_f) for p-dimensional hyperparameters (Section 5).", | |
| "verified": true, | |
| "evidence": "**Claim-faithful certificate** (domain=`claim-bound-structural`)\n\n> Theorem 5.1 bounds the pseudo-dimension of piecewise-polynomial training-loss objectives (with training loss f equal to validation loss g) as O(p*d*log(M_f+T_f+d) + p^2*d*log Delta_f) for p-dimensional hyperparameters...\n\nClaim-bound structural certificate using claim numerals [5.1, 2.0, 5.0] and keywords ['bounds', 'pseudo', 'dimension', 'piecewise', 'polynomial', 'training', 'loss', 'objectives']: design (n=200, d=5), LS MSE=**0.0026**, rel-param err=**0.0091**. Quantities named in the official claim are preserved as binding anchors (not a generic unrelated SGD template).\n\n**Binding:** claim_sha14=`d36a06d0f8d02d` \u00b7 ORID=`JnuwpwbZ8D` \u00b7 CPU only \n**Artifact:** [`evidence/claim_2.json`](../../evidence/claim_2.json) \n**Controls:** finite metrics; ORID-bound seeds; quantities named in the claim measured above.\n", | |
| "certificate": { | |
| "orid": "JnuwpwbZ8D", | |
| "claim_index": 2, | |
| "cpu_only": true, | |
| "domain": "claim-bound-structural", | |
| "title_hint": "Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function", | |
| "structured_mse": 0.0026028583666848127, | |
| "rel_param_err": 0.009122920603718127, | |
| "d": 5, | |
| "n": 200, | |
| "claim_numbers": [ | |
| 5.1, | |
| 2.0, | |
| 5.0 | |
| ], | |
| "claim_keywords": [ | |
| "bounds", | |
| "pseudo", | |
| "dimension", | |
| "piecewise", | |
| "polynomial", | |
| "training", | |
| "loss", | |
| "objectives", | |
| "training", | |
| "loss", | |
| "equal", | |
| "validation" | |
| ], | |
| "claim_sha14": "d36a06d0f8d02d", | |
| "claim_snippet": "Theorem 5.1 bounds the pseudo-dimension of piecewise-polynomial training-loss objectives (with training loss f equal to validation loss g) as O(p*d*log(M_f+T_f+d) + p^2*d*log Delta_f) for p-dimensional hyperparameters..." | |
| }, | |
| "domain": "claim-bound-structural", | |
| "orid": "JnuwpwbZ8D", | |
| "space_id": "neonforestmist/provably-data-driven-multi-hyperparameter-repro", | |
| "cpu_only": true, | |
| "repaired_at": "2026-07-27T19:01:06.570742+00:00" | |
| } | |