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

(универсальный)

Ответ агента:

{ "worked": true, "confidence": 8, "verdict": "The reversible SPD matrix-cluster layer significantly improved the structurally matched controlled-pendulum dynamics task. It won all 8 paired seeds with mean test-MSE delta -0.00446583 and permutation p=0.0081. The trained-model mechanism signature was confirmed with maximum inverse reconstruction error 1.10e-05, below 1e-4.", "metrics": { "baseline": "Best tuned baseline lr=0.005, epochs=20, batch=128; 8-seed mean MSE 0.00869403.", "idea": "Idea lr=0.005, epochs=20, batch=128; 8-seed mean MSE 0.00422819; 8/8 wins; delta_mean=-0.00446583; p=0.0081." }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_matrix_cluster.py", "files": [ "bench_matrix_cluster.py", "bench_report.json" ], "limitations": "Only the built-in controlled-pendulum dynamics track was tested; FLOPs, speed, memory, gradient variance, longer-horizon stability, larger quivers, and learned mutation schedules were not evaluated.", "bench_report": { "bench_version": 1, "track": "dynamics", "model": "rnn_small", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.005, "epochs": 20, "batch": 128 }, "sweep": [ { "cfg": { "lr": 0.001, "epochs": 20, "batch": 128 }, "mean": 0.022121376357972622 }, { "cfg": { "lr": 0.002, "epochs": 20, "batch": 128 }, "mean": 0.016339546535164118 }, { "cfg": { "lr": 0.003, "epochs": 20, "batch": 128 }, "mean": 0.012747961794957519 }, { "cfg": { "lr": 0.005, "epochs": 20, "batch": 128 }, "mean": 0.009133224608376622 } ], "full": { "mean": 0.008694025862496346, "std": 0.0014232314536370147, "per_seed": [ 0.007357772905379534, 0.010028759948909283, 0.007755488622933626, 0.011390876956284046, 0.006608752999454737, 0.008554458618164062, 0.008871559053659439, 0.008984537795186043 ], "n": 8 } }, "idea": { "mean": 0.004228192905429751, "std": 0.000991539149802616, "per_seed": [ 0.003527658525854349, 0.0032258331775665283, 0.0044794389978051186, 0.00498495576903224, 0.0034572044387459755, 0.003025196958333254, 0.005306838545948267, 0.005818416830152273 ], "n": 8, "config": { "lr": 0.005, "epochs": 20, "batch": 128 }, "sweep": [ { "cfg": { "lr": 0.001, "epochs": 20, "batch": 128 }, "mean": 0.02207344933412969 }, { "cfg": { "lr": 0.002, "epochs": 20, "batch": 128 }, "mean": 0.011823555920273066 }, { "cfg": { "lr": 0.003, "epochs": 20, "batch": 128 }, "mean": 0.007646026671864092 }, { "cfg": { "lr": 0.005, "epochs": 20, "batch": 128 }, "mean": 0.004228192905429751 } ] }, "comparison": { "delta_mean": -0.0044658329570665956, "idea_wins": 8, "n_pairs": 8, "per_seed_diffs": [ -0.0038301143795251846, -0.006802926771342754, -0.0032760496251285076, -0.006405921187251806, -0.003151548560708761, -0.005529261659830809, -0.003564720507711172, -0.0031661209650337696 ], "p_value": 0.0081, "verdict": "idea better (significant)", "system_worked": true }, "mechanism_signature": { "predicted_inverse_error": 0.0, "observed_inverse_error_mean": 8.972778232418932e-06, "observed_inverse_error_max": 1.1013007679139264e-05, "observed_condition_mean": 5.370088264346123, "confirmed": true }, "protocol_note": "8 paired seeds; baseline sweep and idea sweep share lr union; official train_model" }, "system_verdict": "worked", "practical_verdict": "helps", "mechanism_ok": 1, "system_judged": true }