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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 10, "verdict": "The spectral-ordering optimizer was implemented and evaluated on the structurally matched registered sequence track with transformer_tiny, using 8 paired seeds and a tuned AdamW baseline. The mechanism signature was quantitatively confirmed, with predicted rho 0.998500 versus observed perturbation ratio 1.000022, but the idea significantly worsened test MSE: 1.778476 versus 0.324958, delta_mean +1.453517, p=0.0081. Therefore the benchmark verdict is idea worse (significant), and worked=false.", "metrics": { "baseline": "Registered track sequence / transformer_tiny; tuned AdamW baseline mean test MSE 0.3249584026634693, std 0.05372834754753049, best_cfg {lr: 0.0015, weight_decay: 0.0}.", "idea": "Adaptive sequential spectral-ordering Adam mean test MSE 1.7784757614135742, std 0.4284677525253833, best_cfg {lr: 0.0015, weight_decay: 0.0}; delta_mean +1.453517358750105, 0/8 paired wins, permutation p=0.0081." }, "bench_report": { "bench_version": 1, "track": "sequence", "model": "transformer_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.0015, "weight_decay": 0.0 }, "sweep": [ { "cfg": { "lr": 0.0015, "weight_decay": 0.0 }, "mean": 0.3047138750553131 }, { "cfg": { "lr": 0.003, "weight_decay": 0.0 }, "mean": 0.347607359290123 }, { "cfg": { "lr": 0.006, "weight_decay": 0.0 }, "mean": 0.47413551807403564 }, { "cfg": { "lr": 0.003, "weight_decay": 0.0001 }, "mean": 0.34758908301591873 } ], "full": { "mean": 0.3249584026634693, "std": 0.05372834754753049, "per_seed": [ 0.2926701307296753, 0.2746025025844574, 0.2790817320346832, 0.3725011348724365, 0.32657936215400696, 0.2697966992855072, 0.43131738901138306, 0.35311827063560486 ], "n": 8 } }, "idea": { "best_cfg": { "lr": 0.0015, "weight_decay": 0.0 }, "sweep": [ { "cfg": { "lr": 0.0015, "weight_decay": 0.0 }, "mean": 1.981750339269638 }, { "cfg": { "lr": 0.0015, "weight_decay": 0.0 }, "mean": 1.981750339269638 }, { "cfg": { "lr": 0.006, "weight_decay": 0.0 }, "mean": 20.26469349861145 } ], "mean": 1.7784757614135742, "std": 0.4284677525253833, "per_seed": [ 2.11492919921875, 2.2909317016601562, 1.8699382543563843, 1.6512022018432617, 2.2055816650390625, 1.2742841243743896, 1.835213541984558, 0.9857254028320312 ], "n": 8 }, "comparison": { "delta_mean": 1.453517358750105, "idea_wins": 0, "n_pairs": 8, "per_seed_diffs": [ 1.8222590684890747, 2.016329199075699, 1.5908565223217013, 1.2787010669708254, 1.8790023028850555, 1.0044874250888824, 1.4038961529731755, 0.6326071321964264 ], "p_value": 0.0081, "mde": 0.3948775559757818, "mde_rel_pct": 121.51633954968739, "verdict": "idea worse (significant)", "system_worked": false }, "mechanism_signature": { "predicted_rho": 0.9985000165639166, "observed_local_perturbation_ratio": 1.0000219345092773, "relative_gap_pct": 0.15242042264536065, "selected_order": [ 0, 1, 2 ], "trained_test_mse": 0.2926701307296753, "confirmed": true } }, "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py && /home/maxwelhelp/main/bin/python3 signature.py", "files": [ "stage2_bench.py", "signature.py", "bench_report.json" ], "limitations": "Only the registered sequence track was tested; tabular, vision, and dynamics were not tested. No wall-clock or FLOP-normalized speedup was established. The implementation uses three parameter blocks and full-batch sequential updates; the adaptive sensitivity approximation is therefore smaller and less general than the proposed production-scale estimator.", "system_verdict": "partial", "practical_verdict": "harms", "mechanism_ok": 1, "system_judged": true }