Стенд-проверка (stage-2) · промт оператора:

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "Built and evaluated an end-to-end GQL Safe Residual Layer with identical MLP architecture for baseline and idea systems, eight paired seeds, shared hyperparameter sweep, and permutation testing. The limiter reduced average invalid predictions from 13% raw to about 2%, but the idea had worse MSE (0.2925 vs 0.2555), paired delta +0.0370, and p=0.92165. Therefore the mechanism showed a safety signal but no benchmark win.", "metrics": { "baseline": "MSE mean 0.255469, std 0.020298; best lr=0.006, epochs=12.", "idea": "MSE mean 0.292469, std 0.114345; best lr=0.006, epochs=12.", "comparison": "delta_mean=+0.0369997, idea_wins=5/8, permutation p=0.92165, verdict=no significant win" }, "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py", "files": [ "gql_track.py", "stage2_bench.py", "bench_report.json" ], "limitations": "The custom task is a small synthetic conservative-state regression benchmark, not a full PDE shock-tube or neural-operator rollout. Bisection was used instead of the paper's generalized eigenvalue solver; EOS inversion, multidimensional flux updates, and large models were not tested.", "bench_report": { "bench_version": 1, "track": "custom_relativistic_conservative_regression", "model": "mlp_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.006, "epochs": 12 }, "sweep": [ { "cfg": { "lr": 0.001, "epochs": 12 }, "mean": 0.9550267011 }, { "cfg": { "lr": 0.003, "epochs": 12 }, "mean": 0.27313843 }, { "cfg": { "lr": 0.006, "epochs": 12 }, "mean": 0.2562924363 } ], "full": { "mean": 0.2554691639, "std": 0.0202979055, "per_seed": [ 0.2654860616, 0.2656965554, 0.2221675068, 0.2718196213, 0.2494851798, 0.2333103567, 0.2888605297, 0.2469274998 ], "n": 8 } }, "idea": { "mean": 0.2924688458, "std": 0.1143450957, "per_seed": [ 0.2421048433, 0.26006338, 0.2274910659, 0.2767752707, 0.5917121172, 0.2325578481, 0.2707672119, 0.2382790297 ], "n": 8 }, "comparison": { "delta_mean": 0.036999682, "idea_wins": 5, "n_pairs": 8, "per_seed_diffs": [ -0.0233812183, -0.0056331754, 0.0053235594, 0.0049556494, 0.3422269374, -0.0007525086, -0.0180933177, -0.00864847 ], "p_value": 0.92165, "verdict": "no significant win", "system_worked": false }, "custom_track": { "name": "relativistic_conservative_regression", "file": "gql_track.py", "domain": "conservative_state_admissibility" }, "sweep_parity": { "union_grid": [ { "lr": 0.001, "epochs": 12 }, { "lr": 0.003, "epochs": 12 }, { "lr": 0.006, "epochs": 12 } ] }, "mechanism_signature": { "claim": "limiting a valid baseline candidate along the complete residual enforces admissibility", "predicted_invalid_rate_after_limit": 0.0, "observed_invalid_rate_after_limit": 0.02, "observed_raw_invalid_rate": 0.13, "confirmed": false } }, "system_verdict": "failed", "practical_verdict": "inconclusive", "mechanism_ok": 0, "system_judged": true }