# Стенд-проверка (stage-2) · промт оператора: (универсальный) Ответ агента: { "worked": false, "confidence": 10, "verdict": "The Contact-Splitting Momentum Optimizer was implemented and evaluated on the registered optimizer-appropriate tabular track with the same mlp_tiny architecture and equal gradient budgets. It was significantly worse than tuned momentum: mean test MSE 82.4742 versus 6.1027, paired delta +76.3715, permutation p=0.0081. The trained-model certificate-rate signature was not confirmed, with observed rate 0.2076 versus predicted gamma 0.1.", "metrics": { "baseline": "mean test MSE 6.102685570716858, std 1.0114630114444267, best lr=0.012 beta=0.85", "idea": "mean test MSE 82.47423553466797, std 62.85156905560213, best lr=0.003 gamma=0.1", "paired_delta": "76.37154996395111", "permutation_p_value": "0.0081" }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_contact.py", "files": [ "bench_contact.py", "bench_report.json" ], "limitations": "Only the registered tabular track was tested. The MVP used identity mass M and fixed gamma=0.1; learned diagonal preconditioning and wall-clock timing were not tested.", "bench_report": { "bench_version": 1, "track": "tabular", "model": "mlp_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.012, "beta": 0.85 }, "sweep": [ { "cfg": { "lr": 0.003, "beta": 0.85 }, "mean": 7.4412044286727905 }, { "cfg": { "lr": 0.003, "beta": 0.95 }, "mean": 7.356154918670654 }, { "cfg": { "lr": 0.006, "beta": 0.85 }, "mean": 7.447907209396362 }, { "cfg": { "lr": 0.006, "beta": 0.95 }, "mean": 6.9799922704696655 }, { "cfg": { "lr": 0.012, "beta": 0.85 }, "mean": 6.368864178657532 }, { "cfg": { "lr": 0.012, "beta": 0.95 }, "mean": 11.507428050041199 } ], "full": { "mean": 6.102685570716858, "std": 1.0114630114444267, "per_seed": [ 5.218059539794922, 7.1943206787109375, 6.8049211502075195, 6.258155345916748, 4.909553527832031, 4.723381042480469, 7.64085054397583, 6.072242736816406 ], "n": 8, "details": [ { "metric": 5.218059539794922, "grad_evals": 252 }, { "metric": 7.1943206787109375, "grad_evals": 252 }, { "metric": 6.8049211502075195, "grad_evals": 252 }, { "metric": 6.258155345916748, "grad_evals": 252 }, { "metric": 4.909553527832031, "grad_evals": 252 }, { "metric": 4.723381042480469, "grad_evals": 252 }, { "metric": 7.64085054397583, "grad_evals": 252 }, { "metric": 6.072242736816406, "grad_evals": 252 } ] } }, "idea": { "mean": 82.47423553466797, "std": 62.85156905560213, "per_seed": [ 85.1873779296875, 61.3437385559082, 54.8747444152832, 16.73917007446289, 198.2187042236328, 37.13703918457031, 172.99974060058594, 33.29336929321289 ], "n": 8, "details": [ { "metric": 85.1873779296875, "grad_evals": 252, "cert_rate_mean": 0.3926487951538228, "cert_rate_n": 125 }, { "metric": 61.3437385559082, "grad_evals": 252, "cert_rate_mean": 0.2918240217992533, "cert_rate_n": 125 }, { "metric": 54.8747444152832, "grad_evals": 252, "cert_rate_mean": -0.11212525637936967, "cert_rate_n": 125 }, { "metric": 16.73917007446289, "grad_evals": 252, "cert_rate_mean": 0.1972534224451282, "cert_rate_n": 125 }, { "metric": 198.2187042236328, "grad_evals": 252, "cert_rate_mean": 0.15344815565986625, "cert_rate_n": 125 }, { "metric": 37.13703918457031, "grad_evals": 252, "cert_rate_mean": 0.0256587405843517, "cert_rate_n": 125 }, { "metric": 172.99974060058594, "grad_evals": 252, "cert_rate_mean": 0.4365923490884733, "cert_rate_n": 125 }, { "metric": 33.29336929321289, "grad_evals": 252, "cert_rate_mean": 0.2754857404526831, "cert_rate_n": 125 } ] }, "comparison": { "delta_mean": 76.37154996395111, "idea_wins": 0, "n_pairs": 8, "per_seed_diffs": [ 79.96931838989258, 54.149417877197266, 48.069823265075684, 10.481014728546143, 193.30915069580078, 32.413658142089844, 165.3588900566101, 27.221126556518556 ], "p_value": 0.0081, "mde": 56.17144123095511, "mde_rel_pct": 920.4380691099063, "verdict": "idea worse (significant)", "system_worked": false }, "mechanism_signature": { "idea_sweep": [ { "cfg": { "lr": 0.003, "gamma": 0.1 }, "mean": 54.53625774383545 }, { "cfg": { "lr": 0.006, "gamma": 0.1 }, "mean": 76.64579582214355 }, { "cfg": { "lr": 0.012, "gamma": 0.1 }, "mean": 63.562326431274414 } ], "mechanism_signature": { "prediction": "certificate conformal rate ~= gamma", "predicted": 0.1, "observed": 0.20759824610052613, "absolute_error": 0.10759824610052612, "n_models": 8, "confirmed": false }, "budget": { "epochs": 18, "batch": 64, "baseline_gradient_evals": 252, "idea_gradient_evals": 252 } } }, "system_verdict": "failed", "practical_verdict": "harms", "mechanism_ok": 0, "system_judged": true }