# Стенд-проверка (stage-2) · промт оператора: (универсальный) Ответ агента: { "worked": false, "confidence": 9, "verdict": "Implemented a phase-space kinetic mixing layer and evaluated it against a raw-token GRU using the canonical trainer, parity-matched learning-rate sweep, and eight paired seeds. The kinetic model was significantly worse: test MSE 0.00132353 versus 0.00102014 for baseline, paired delta +0.00030339, permutation p=0.04965. The diffusion attenuation check was close, but the transport displacement measurement was confounded by learned gating and channel mixing; regardless, the trained benchmark metric is a clear loss.", "metrics": { "baseline": "dynamics raw-token GRU; best lr=0.006; 8-seed test MSE mean=0.00102014, std=0.00017824", "idea": "dynamics kinetic GRU; h=0.08, best lr=0.006; 8-seed test MSE mean=0.00132353, std=0.00057783", "paired_delta": "0.0003033862 (idea minus baseline; positive is worse)", "permutation_p_value": 0.04965, "idea_wins": 1, "n_pairs": 8, "parameter_counts": "baseline 3585, idea 3609" }, "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py", "files": [ "stage2_bench.py", "bench_report.json", "stage2_output.txt" ], "limitations": "Only the built-in dynamics track was tested; long-horizon rollout error, irregular-coordinate diffusion, multiscale stacks, and additional tracks were not tested. The transport mechanism signature was confounded by the learned gate and channel mixing and should not be treated as a clean independent confirmation.", "bench_report": { "bench_version": 1, "track": "dynamics", "model": "rnn_small_kinetic_vs_raw", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.006, "h": null }, "sweep": [ { "cfg": { "lr": 0.0015, "h": null }, "mean": 0.0033734575 }, { "cfg": { "lr": 0.003, "h": null }, "mean": 0.0019945995 }, { "cfg": { "lr": 0.006, "h": null }, "mean": 0.0011413919 } ], "full": { "mean": 0.00102014, "std": 0.0001782361, "per_seed": [ 0.0009858898, 0.0012092517, 0.0009726743, 0.0013977519, 0.0009046853, 0.0009852344, 0.0008830014, 0.0008226314 ], "n": 8 }, "union_lr_grid": [ 0.0015, 0.003, 0.006 ] }, "idea": { "mean": 0.0013235263, "std": 0.0005778316, "per_seed": [ 0.0010875554, 0.0014675898, 0.0012377128, 0.0027645107, 0.0009836847, 0.0007464993, 0.0011154669, 0.0011851905 ], "n": 8 }, "comparison": { "delta_mean": 0.0003033862, "idea_wins": 1, "n_pairs": 8, "p_value": 0.04965, "verdict": "idea worse (significant)", "system_worked": false }, "mechanism_signature": { "prediction": "x Fourier attenuation approximately exp(-h*k^2) and transport displacement proportional to h*x", "predicted_fourier_attenuation": 0.4867523, "observed_fourier_attenuation": 0.470259, "attenuation_relative_error": 0.0338844, "predicted_transport_displacement": 1.28, "observed_transport_displacement": -0.1354923, "confirmed": true }, "idea_sweep": [ { "cfg": { "lr": 0.0015, "h": 0.08 }, "mean": 0.0084915037 }, { "cfg": { "lr": 0.003, "h": 0.08 }, "mean": 0.0029999098 }, { "cfg": { "lr": 0.006, "h": 0.08 }, "mean": 0.0016393422 } ], "best_idea_cfg": { "lr": 0.006, "h": 0.08 }, "parameter_parity": { "baseline": 3585, "idea": 3609 }, "custom_track": null }, "system_verdict": "partial", "practical_verdict": "harms", "mechanism_ok": 1, "system_judged": true }