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

(универсальный)

Ответ агента:

{ "worked": true, "confidence": 8, "verdict": "Encoder-reset significantly improved test MSE on the registered, structurally matched dynamics track. The tuned baseline mean was 0.0006826339 versus 0.0005652364 for the idea, with all 8 paired seeds improved and permutation p=0.0081. The trained-model perturbation signature also showed slightly lower reset sensitivity, although the primary evidence is the independent dynamics-task MSE.", "metrics": { "baseline": "best lr=0.006; mean test MSE 0.0006826339049439412; std 0.0002001734108210113", "idea": "best lr=0.006; mean test MSE 0.0005652364307024982; std 0.00019911234856491642; paired delta -0.00011739747424144298; p=0.0081; 8/8 wins" }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_experiment.py", "files": [ "bench_experiment.py", "bench_report.json" ], "limitations": "The registered dynamics benchmark uses independent 8-step windows rather than a continuous stream with explicit previous-batch context, so the implementation uses the available window as encoder context. N/L sweeps, diminishing schedules, spectral normalization, Jacobian penalties, FLOP measurements, and changing-dynamics stream tests were not run.", "bench_report": { "bench_version": 1, "track": "dynamics", "model": "rnn_small", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.006 }, "sweep": [ { "cfg": { "lr": 0.0015 }, "mean": 0.00198724222718738 }, { "cfg": { "lr": 0.003 }, "mean": 0.0013494549202732742 }, { "cfg": { "lr": 0.006 }, "mean": 0.0007156882056733593 } ], "full": { "mean": 0.0006826339049439412, "std": 0.0002001734108210113, "per_seed": [ 0.0008196589769795537, 0.0005301681812852621, 0.000536333944182843, 0.0009765917202457786, 0.0009811640484258533, 0.0005039663519710302, 0.0006512094405479729, 0.00046197857591323555 ], "n": 8 } }, "idea": { "mean": 0.0005652364307024982, "std": 0.00019911234856491642, "per_seed": [ 0.0006373166106641293, 0.0004831327241845429, 0.0003901786112692207, 0.0008194606634788215, 0.0009116221335716546, 0.0003751792246475816, 0.0005717286258004606, 0.00033327285200357437 ], "n": 8 }, "comparison": { "delta_mean": -0.00011739747424144298, "idea_wins": 8, "n_pairs": 8, "per_seed_diffs": [ -0.00018234236631542444, -4.703545710719921e-05, -0.00014615533291362226, -0.00015713105676695704, -6.95419148541987e-05, -0.00012878712732344866, -7.948081474751234e-05, -0.00012870572390966117 ], "p_value": 0.0081, "mde": 3.942211076832542e-05, "mde_rel_pct": 5.775000403995876, "verdict": "idea better (significant)", "system_worked": true }, "mechanism_signature": { "prediction": "encoder-reset should suppress state sensitivity; final perturbation ratio < 1", "observed": [ { "mode": "carry", "test_mse": 0.001019460498355329, "observed_context_to_final_state_ratio": 0.008399932645261288 }, { "mode": "reset", "test_mse": 0.0011074204230681062, "observed_context_to_final_state_ratio": 0.008114841766655445 } ], "confirmed": true } }, "system_verdict": "worked", "practical_verdict": "helps", "mechanism_ok": 1, "system_judged": true }