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

(универсальный)

Ответ агента:

{ "worked": true, "confidence": 8, "verdict": "Implemented the prepared two-replica coupled optimizer on the structurally matched Friedman#1 tabular benchmark with the shared mlp_tiny architecture. Across 8 paired seeds it significantly improved test MSE versus the tuned baseline. Initial cancellation occurred, but the projected common mode was repopulated during training, so the persistent mechanism prediction was not confirmed.", "metrics": { "baseline": "Tuned baseline lr=0.006, weight_decay=0.0: mean test MSE 10.0418401957 over 8 seeds.", "idea": "Prepared packet, lr=0.006, kappa=0.03: mean test MSE 7.6947646737 over 8 seeds; delta=-2.3470755219, 8/8 wins, permutation p=0.0081.", "mechanism": "Initial cancellation ratio 3.7e-10; observed ratio 0.2168 after epoch 1 and 1.0423 at the end; persistent cancellation not confirmed." }, "bench_report": { "bench_version": 1, "track": "tabular", "model": "mlp_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.006, "weight_decay": 0.0 }, "sweep": [ { "cfg": { "lr": 0.001, "weight_decay": 0.0 }, "mean": 17.79831099510193 }, { "cfg": { "lr": 0.003, "weight_decay": 0.0 }, "mean": 13.153547525405884 }, { "cfg": { "lr": 0.006, "weight_decay": 0.0 }, "mean": 9.905518293380737 } ], "full": { "mean": 10.041840195655823, "std": 1.3433768404487412, "per_seed": [ 10.178184509277344, 11.6652193069458, 8.723758697509766, 9.054910659790039, 7.620545387268066, 10.61941909790039, 11.13137149810791, 11.341312408447266 ], "n": 8 } }, "idea": { "mean": 7.694764673709869, "std": 0.9183754203462169, "per_seed": [ 7.17905855178833, 8.86394214630127, 7.2537841796875, 6.873910903930664, 6.19173526763916, 8.16868782043457, 8.054282188415527, 8.972716331481934 ], "n": 8 }, "comparison": { "delta_mean": -2.3470755219459534, "idea_wins": 8, "n_pairs": 8, "per_seed_diffs": [ -2.9991259574890137, -2.8012771606445312, -1.4699745178222656, -2.180999755859375, -1.4288101196289062, -2.4507312774658203, -3.077089309692383, -2.368596076965332 ], "p_value": 0.0081, "mde": 0.5303101801167621, "mde_rel_pct": 5.281005968867921, "verdict": "idea better (significant)", "system_worked": true }, "mechanism_signature": { "predicted": "Packet preparation makes the common slow-direction projection near zero.", "observed": { "initial_cancellation_ratio": 3.7172168874545825e-10, "observed_c_ratio_epoch1": 0.21678468534656278, "observed_c_ratio_final": 1.042262186528141, "v_norm": 1.0 }, "confirmed": false, "interpretation": "Initial cancellation was near-zero, but the common-direction projection was replenished during neural-network training." }, "custom_track": null }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_experiment.py", "files": [ "bench_experiment.py", "bench_report.json" ], "limitations": "Only the structurally matched tabular track was tested. The experiment used a tiny MLP and 400-sample Friedman#1 data; no vision, sequence, dynamics, larger architectures, wall-clock/FLOP accounting, Hessian-vector/Lanczos estimation, or packet re-estimation schedule was tested.", "system_verdict": "worked", "practical_verdict": "helps", "mechanism_ok": 0, "system_judged": true }