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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "On the registered built-in tabular track with mlp_tiny and 8 paired seeds, the calorimetric minibatch pulse reduced mean test MSE from 7.43115 to 7.30198, but the paired permutation test gave p=0.1473, so there is no significant win. The trained-model mechanism signature measured mean pulse-to-baseline dissipation ratio 0.80083 rather than the predicted value above 1, so the proposed response did not transfer quantitatively.", "metrics": { "baseline": "Adam, tuned lr=0.006; sweep means: lr=0.001 -> 14.98159, lr=0.003 -> 9.22344, lr=0.006 -> 7.29187; full 8-seed mean MSE 7.4311487, std 0.590073", "idea": "Calorimetric minibatch-noise pulse, best lr=0.006; sweep means: lr=0.001 -> 14.74152, lr=0.003 -> 8.37822, lr=0.006 -> 7.30198; full 8-seed mean MSE 7.3019766, std 0.773452", "comparison": "delta_mean=-0.1291721, 7/8 paired wins, permutation p_value=0.1473, verdict=no significant win" }, "bench_report": { "bench_version": 1, "track": "tabular", "model": "mlp_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.006 }, "sweep": [ { "cfg": { "lr": 0.001 }, "mean": 14.981590270996094 }, { "cfg": { "lr": 0.003 }, "mean": 9.223435640335083 }, { "cfg": { "lr": 0.006 }, "mean": 7.291872143745422 } ], "full": { "mean": 7.431148707866669, "std": 0.5900729884817257, "per_seed": [ 6.959560871124268, 6.490821361541748, 7.417182445526123, 8.29992389678955, 7.356024742126465, 6.94450569152832, 8.157182693481445, 7.82398796081543 ], "n": 8 } }, "idea": { "mean": 7.3019766211509705, "std": 0.7734523375507841, "per_seed": [ 6.782430648803711, 6.035555839538574, 7.4112749099731445, 8.592246055603027, 7.169427394866943, 6.662042140960693, 8.142901420593262, 7.619934558868408 ], "n": 8, "sweep": [ { "cfg": { "lr": 0.001 }, "mean": 14.74151885509491 }, { "cfg": { "lr": 0.003 }, "mean": 8.378218531608582 }, { "cfg": { "lr": 0.006 }, "mean": 7.30197662115097 } ] }, "comparison": { "delta_mean": -0.12917208671569824, "idea_wins": 7, "n_pairs": 8, "per_seed_diffs": [ -0.17713022232055664, -0.45526552200317383, -0.005907535552978516, 0.29232215881347656, -0.18659734725952148, -0.28246355056762695, -0.014281272888183594, -0.20405340194702148 ], "p_value": 0.1473, "mde": 0.18619118804819146, "mde_rel_pct": 2.5055505597820713, "verdict": "no significant win", "system_worked": false }, "mechanism_signature": { "prediction": "temperature/minibatch-noise pulse produces transient excess update dissipation", "predicted": { "pulse_to_baseline_q_ratio": ">1" }, "observed_on_trained_models": { "n_pulses": 128, "mean_pulse_to_baseline_q_ratio": 0.8008347272847326, "mean_triggers": 0.0 }, "confirmed": false } }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_calorimetric.py", "files": [ "bench_calorimetric.py", "bench_report.json" ], "limitations": "Only the structurally matched registered tabular optimizer track was tested. The run used 400 training and 200 test samples, 18 epochs, batch size 64, and a three-value shared learning-rate grid; vision, sequence, dynamics, longer training, alternative pulse mechanisms, finite-size scaling, and calibrated online trigger thresholds were not tested.", "system_verdict": "failed", "practical_verdict": "inconclusive", "mechanism_ok": 0, "system_judged": true }