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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 10, "verdict": "The official dynamics/rnn_small benchmark was successfully run with the required paired-seed protocol and shared learning-rate grid. The idea's best MSE was 7.27276e-06 versus the tuned baseline's 6.03494e-06, giving paired delta +1.23782e-06 and permutation p=0.164; verdict is no significant win. The mechanism signature was also not confirmed: both trained systems had zero critical bad-rate on the measured test behavior.", "metrics": { "baseline": "Official bench baseline sweep best lr=0.006; full 8-seed mean MSE 6.034935353227411e-06, std 2.324192087412265e-06.", "idea": "Official bench idea sweep best lr=0.006; full 8-seed mean MSE 7.2727560791463475e-06, std 3.341130715564463e-06; paired delta +1.2378207259189367e-06; permutation p-value 0.164; 3/8 paired wins." }, "bench_report": { "bench_version": 1, "track": "dynamics", "model": "rnn_small", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.006 }, "sweep": [ { "cfg": { "lr": 0.001 }, "mean": 3.534919142111903e-05 }, { "cfg": { "lr": 0.003 }, "mean": 7.330269568228687e-06 }, { "cfg": { "lr": 0.006 }, "mean": 5.007404297430185e-06 } ], "full": { "mean": 6.034935353227411e-06, "std": 2.324192087412265e-06, "per_seed": [ 3.5480811675370205e-06, 5.396596407081233e-06, 4.0187219383369666e-06, 7.066217676765518e-06, 3.6791009279113496e-06, 7.341893251577858e-06, 6.276848125708057e-06, 1.0952023330901284e-05 ], "n": 8 } }, "idea": { "mean": 7.2727560791463475e-06, "std": 3.341130715564463e-06, "per_seed": [ 6.330245923891198e-06, 5.862209491169779e-06, 3.913731234206352e-06, 5.612296263279859e-06, 6.7712248892348725e-06, 1.0451367415953428e-05, 4.5703227442572825e-06, 1.467065067117801e-05 ], "n": 8 }, "comparison": { "delta_mean": 1.2378207259189367e-06, "idea_wins": 3, "n_pairs": 8, "per_seed_diffs": [ 2.7821647563541774e-06, 4.656130840885453e-07, -1.0499070413061418e-07, -1.4539214134856593e-06, 3.092123961323523e-06, 3.1094741643755697e-06, -1.7065253814507741e-06, 3.7186273402767256e-06 ], "p_value": 0.164, "mde": 1.8372299258490038e-06, "mde_rel_pct": 30.443241200031668, "verdict": "no significant win", "system_worked": false }, "mechanism_signature": { "critical_fraction": 0.2639999985694885, "baseline_critical_bad_rate": 0.0, "idea_critical_bad_rate": 0.0, "observed_bad_rate_reduction": 0.0, "required_rollouts_r_0.02_delta_0.05": 149, "confirmed": false }, "idea_sweep": [ { "cfg": { "lr": 0.001 }, "result": { "mean": 4.6562476200051606e-05, "std": 7.0209403088518815e-06, "per_seed": [ 3.4763717849273235e-05, 5.860313831362873e-05, 5.2090246754232794e-05, 4.800773604074493e-05, 3.818494951701724e-05, 4.759346120408736e-05, 4.485895624384285e-05, 4.839760367758572e-05 ], "n": 8 } }, { "cfg": { "lr": 0.003 }, "result": { "mean": 1.1251939099565789e-05, "std": 2.436469153192465e-06, "per_seed": [ 9.606156709196512e-06, 1.1305033694952726e-05, 6.192657565406989e-06, 1.2527690159913618e-05, 1.1936091141251381e-05, 1.4925769391993526e-05, 1.3000466424273327e-05, 1.0521647709538229e-05 ], "n": 8 } }, { "cfg": { "lr": 0.006 }, "result": { "mean": 7.2727560791463475e-06, "std": 3.341130715564463e-06, "per_seed": [ 6.330245923891198e-06, 5.862209491169779e-06, 3.913731234206352e-06, 5.612296263279859e-06, 6.7712248892348725e-06, 1.0451367415953428e-05, 4.5703227442572825e-06, 1.467065067117801e-05 ], "n": 8 } } ], "protocol_note": "Official registered dynamics track; baseline uses bench.train_model; idea changes only the training loss and shares model, data, epochs, batch, and lr grid." }, "how_to_run": "/home/maxwelhelp/main/bin/python3 official_stage2.py", "files": [ "official_stage2.py", "bench_report.json" ], "limitations": "The idea was implemented as boundary-weighted transition loss rather than a full post-training risk gate with planner-generated rollouts. The official dynamics track evaluates one-step regression targets from an 8-step input window, so deployment acceptance, actual rollout miss probability, planner regret, risk cost C, false rejection, and wall-clock/FLOP tradeoffs were not tested. The CUDA GRU path failed with a cuDNN allocation error and the official trainer/local loop completed using CPU fallback.", "system_verdict": "failed", "practical_verdict": "inconclusive", "mechanism_ok": 0, "system_judged": true }