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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 10, "verdict": "Implemented and evaluated the dynamics-matched contractive reservoir on the registered built-in dynamics track. The tuned GRU baseline achieved MSE 0.0003733094, while the best idea configuration achieved MSE 0.0017617239; paired delta was +0.0013884145 with permutation p_value 0.0081, so the idea was significantly worse. The trained-model perturbation signature was contractive but did not quantitatively match the predicted rho.", "metrics": { "baseline": "rnn_small GRU, lr=0.006, 15 epochs: MSE 0.0003733093799382914", "idea": "DynamicsMatchedReservoir, lr=0.006, leak=0.55, residual_scale=0.14, 15 epochs: MSE 0.0017617238772800192" }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_run.py", "files": [ "bench_run.py", "bench_report.json", "bench_output.txt" ], "limitations": "Only the registered built-in actuated-pendulum dynamics track was tested. No rollout-horizon sweep, FLOP/runtime study, full latent-state Jacobian estimation, learned residual-vector-field training, or traffic graph track was 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, "epochs": 15, "weight_decay": 0.0 }, "sweep": [ { "cfg": { "lr": 0.001, "epochs": 15, "weight_decay": 0.0 }, "mean": 0.0011778276093536988 }, { "cfg": { "lr": 0.003, "epochs": 15, "weight_decay": 0.0 }, "mean": 0.0007040829586912878 }, { "cfg": { "lr": 0.006, "epochs": 15, "weight_decay": 0.0 }, "mean": 0.00042879935062956065 } ], "full": { "mean": 0.0003733093799382914, "std": 0.0001422580194548688, "per_seed": [ 0.00041920592775568366, 0.0005275467410683632, 0.0002469699247740209, 0.0005214748089201748, 0.00021985481726005673, 0.00041659976704977453, 0.00013517960906028748, 0.0004996434436179698 ], "n": 8 } }, "idea": { "per_seed": [ 0.001769391936250031, 0.0016720223939046264, 0.001442315406166017, 0.001998485764488578, 0.0017929950263351202, 0.0018884261371567845, 0.00186431675683707, 0.0016658375971019268 ], "mean": 0.0017617238772800192, "std": 0.00017026615425158047 }, "comparison": { "delta_mean": 0.0013884144973417278, "idea_wins": 0, "n_pairs": 8, "per_seed_diffs": [ 0.0013501860084943473, 0.0011444756528362632, 0.0011953454813919961, 0.0014770109555684032, 0.0015731402090750635, 0.00147182637010701, 0.0017291371477767825, 0.001166194153483957 ], "p_value": 0.0081, "mde": 0.00017671141495484378, "mde_rel_pct": 47.33645186843536, "verdict": "idea worse (significant)", "system_worked": false }, "idea_sweep": [ { "cfg": { "lr": 0.001, "epochs": 15, "leak": 0.35, "residual_scale": 0.08 }, "mean": 0.002627965557621792 }, { "cfg": { "lr": 0.003, "epochs": 15, "leak": 0.45, "residual_scale": 0.1 }, "mean": 0.00218639854574576 }, { "cfg": { "lr": 0.006, "epochs": 15, "leak": 0.55, "residual_scale": 0.14 }, "mean": 0.0017617238772800192 } ], "mechanism_signature": { "prediction": "contractive recurrent perturbations decay", "observed_perturbation_ratio": 0.07229285687208176, "predicted_rho": 0.5131399999999999, "confirmed": false } }, "system_verdict": "failed", "practical_verdict": "harms", "mechanism_ok": 0, "system_judged": true }