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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "Implemented the Koopman deadline controller around the structurally matched dynamics track using freshly trained identical rnn_small systems, paired seeds, baseline sweep, shared hyperparameter grid, and NN-measured mechanism diagnostics. The idea had a small lower-MSE mean improvement (-0.002105) but was not significant (permutation p=0.80015), and the predicted contraction ratio 0.295 differed substantially from the observed ratio 1.008, so the mechanism was not confirmed quantitatively.", "metrics": { "baseline": "Best lr=0.003; 8-seed test MSE 0.0343647.", "idea": "Best lr=0.01; 8-seed test MSE 0.0322596; paired delta=-0.0021050; 5/8 wins; permutation p=0.80015; mean rounds 4.0." }, "how_to_run": "/home/maxwelhelp/main/bin/python3 koopman_bench.py", "files": [ "koopman_bench.py", "bench_report.json" ], "limitations": "Only the built-in dynamics pendulum track was tested with 400 training samples, 400 test samples, 8 epochs, and a four-round horizon. No larger recurrent/debate model, variable maximum-round budget, FLOP or wall-clock profiling, noisy Koopman-buffer robustness study, or broader accuracy-preserving early-stop analysis was performed.", "bench_report": { "bench_version": 1, "track": "dynamics", "model": "rnn_small", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "sweep": { "best_cfg": { "lr": 0.003, "rounds": 4 }, "sweep": [ { "cfg": { "lr": 0.001, "rounds": 4 }, "mean": 0.0620150128 }, { "cfg": { "lr": 0.003, "rounds": 4 }, "mean": 0.0278348629 }, { "cfg": { "lr": 0.01, "rounds": 4 }, "mean": 0.0313870152 } ], "full": { "mean": 0.0343646621, "std": 0.0124331809, "per_seed": [ 0.0281320885, 0.0098574143, 0.0465461239, 0.0268112943, 0.0281067323, 0.046415776, 0.0452195331, 0.0438283347 ], "n": 8 } }, "best_cfg": { "lr": 0.003, "rounds": 4 }, "full": { "mean": 0.0343646621, "std": 0.0124331809, "per_seed": [ 0.0281320885, 0.0098574143, 0.0465461239, 0.0268112943, 0.0281067323, 0.046415776, 0.0452195331, 0.0438283347 ], "n": 8 } }, "idea": { "mean": 0.0322596226, "std": 0.0160509425, "per_seed": [ 0.0081630331, 0.0489534475, 0.0221131127, 0.0462540314, 0.0268446505, 0.0188531652, 0.0285559408, 0.0583395995 ], "n": 8 }, "comparison": { "delta_mean": -0.0021050395, "idea_wins": 5, "n_pairs": 8, "per_seed_diffs": [ -0.0199690554, 0.0390960332, -0.0244330112, 0.0194427371, -0.0012620818, -0.0275626108, -0.0166635923, 0.0145112649 ], "p_value": 0.80015, "mde": 0.0202765085, "mde_rel_pct": 59.0039511, "verdict": "no significant win", "system_worked": false }, "idea_sweep": [ { "cfg": { "lr": 0.001, "rounds": 4 }, "mean": 0.0684193689 }, { "cfg": { "lr": 0.003, "rounds": 4 }, "mean": 0.0343652834 }, { "cfg": { "lr": 0.01, "rounds": 4 }, "mean": 0.0322564683 } ], "idea_best_cfg": { "lr": 0.01, "rounds": 4 }, "mechanism_signature": { "quantity": "NN observed disagreement contraction", "predicted_mean_ratio": 0.2953544706, "observed_mean_ratio": 1.008120598, "absolute_error": 0.7127661274, "n_trajectories": 8, "confirmed": false }, "protocol_note": "Matched dynamics task and freshly trained identical rnn_small architecture; only the inference stopping rule differs." }, "system_verdict": "failed", "practical_verdict": "inconclusive", "mechanism_ok": 0, "system_judged": true }