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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 10, "verdict": "The registered dynamics benchmark used the shared rnn_small GRU, tuned baseline sweep, and 8 paired seeds. The regularizer reduced trained-model walk energy by 32.16%, confirming the mechanism, but the test-MSE improvement was not significant (delta=-0.00051616, permutation p=0.09615), so the idea is not a benchmark win.", "metrics": { "baseline": "best_cfg lr=0.006, weight_decay=0.0001; full mean MSE=0.0020704465", "idea": "best lambda=0.8 at lr=0.006, weight_decay=0.0001; mean MSE=0.0015542888; 6/8 wins; walk energy 0.09697281 vs 0.14293696" }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_walk_reciprocity.py", "files": [ "bench_walk_reciprocity.py", "bench_report.json", "bench_stdout_rerun.txt" ], "limitations": "Only the registered dynamics track and rnn_small model were tested; larger models, longer training, other horizons or gains, Hutchinson estimation, and a spectral-radius baseline were not tested.", "bench_report": { "bench_version": 1, "track": "dynamics", "model": "rnn_small", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.006, "weight_decay": 0.0001 }, "sweep": [ { "cfg": { "lr": 0.001, "weight_decay": 0.0 }, "mean": 0.0042987791 }, { "cfg": { "lr": 0.001, "weight_decay": 0.0001 }, "mean": 0.0042995543 }, { "cfg": { "lr": 0.003, "weight_decay": 0.0 }, "mean": 0.0034615941 }, { "cfg": { "lr": 0.003, "weight_decay": 0.0001 }, "mean": 0.0034321747 }, { "cfg": { "lr": 0.006, "weight_decay": 0.0 }, "mean": 0.0018282316 }, { "cfg": { "lr": 0.006, "weight_decay": 0.0001 }, "mean": 0.0017760895 } ], "full": { "mean": 0.0020704465, "std": 0.0003935327, "per_seed": [ 0.0019586661, 0.001374926, 0.001568791, 0.0022019749, 0.0023778363, 0.0024743266, 0.002138329, 0.00246853 ] } }, "idea": { "best_config": { "lr": 0.006, "weight_decay": 0.0001, "lambda": 0.8 }, "per_seed": [ 0.0011760086, 0.0021698228, 0.0013154274, 0.0012873381, 0.0010369628, 0.0011381041, 0.0021150124, 0.0021956342 ] }, "comparison": { "delta_mean": -0.0005161577, "idea_wins": 6, "n_pairs": 8, "p_value": 0.09615, "verdict": "no significant win", "system_worked": false }, "mechanism_signature": { "prediction": "walk regularization lowers finite-horizon forward/backward energy", "baseline_walk_energy_mean": 0.1429369561, "idea_walk_energy_mean": 0.0969728092, "relative_change_pct": -32.1569, "confirmed": true } }, "system_verdict": "partial", "practical_verdict": "inconclusive", "mechanism_ok": 1, "system_judged": true }