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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "The accepted registered track conditional_sequence_diffusion was evaluated with matched score networks, identical training, eight paired seeds, and a shared baseline/idea hyperparameter union. The square-root allocation confirmed the predicted neural-network mechanism, with inverse-square-root width correlation 0.99981 and local-cost CV 7.35e-05. It slightly worsened test MSE rather than improving it: paired delta +0.0001236 and permutation p=0.34835.", "metrics": { "baseline": "Uniform grid; best {lr:0.003, epochs:12, steps:16}; mean MSE 0.3266862, std 0.0183315, n=8.", "idea": "Square-root adaptive grid; best {lr:0.003, epochs:12, steps:16}; mean MSE 0.3268098, std 0.0184414, n=8; paired delta +0.0001236, p=0.34835." }, "bench_report": { "bench_version": 1, "track": "conditional_sequence_diffusion", "model": "score_mlp", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.003, "epochs": 12, "steps": 16 }, "sweep": [ { "cfg": { "lr": 0.001, "epochs": 12, "steps": 8 }, "mean": 0.3794306069612503 }, { "cfg": { "lr": 0.001, "epochs": 12, "steps": 16 }, "mean": 0.36941855028271675 }, { "cfg": { "lr": 0.003, "epochs": 12, "steps": 8 }, "mean": 0.3344487212598324 }, { "cfg": { "lr": 0.003, "epochs": 12, "steps": 16 }, "mean": 0.32668623328208923 }, { "cfg": { "lr": 0.01, "epochs": 12, "steps": 8 }, "mean": 0.3527134172618389 }, { "cfg": { "lr": 0.01, "epochs": 12, "steps": 16 }, "mean": 0.3493003807961941 } ], "full": { "mean": 0.32668623328208923, "std": 0.0183314657731986, "per_seed": [ 0.34015029668807983, 0.3335983455181122, 0.34249189496040344, 0.2935677170753479, 0.3214184641838074, 0.3177299499511719, 0.35397353768348694, 0.3105596601963043 ], "n": 8 } }, "idea": { "mean": 0.3268098309636116, "std": 0.018441350747342378, "per_seed": [ 0.3401668965816498, 0.33357036113739014, 0.3425343632698059, 0.2938295602798462, 0.32191580533981323, 0.3179206848144531, 0.3546198308467865, 0.30992114543914795 ], "n": 8, "sweep": [ { "cfg": { "lr": 0.001, "epochs": 12, "steps": 8 }, "mean": 0.3800293132662773 }, { "cfg": { "lr": 0.001, "epochs": 12, "steps": 16 }, "mean": 0.3697975389659405 }, { "cfg": { "lr": 0.003, "epochs": 12, "steps": 8 }, "mean": 0.33464548736810684 }, { "cfg": { "lr": 0.003, "epochs": 12, "steps": 16 }, "mean": 0.3268098309636116 }, { "cfg": { "lr": 0.01, "epochs": 12, "steps": 8 }, "mean": 0.35246242582798004 }, { "cfg": { "lr": 0.01, "epochs": 12, "steps": 16 }, "mean": 0.34918101504445076 } ] }, "comparison": { "delta_mean": 0.00012359768152236938, "idea_wins": 2, "n_pairs": 8, "per_seed_diffs": [ 1.659989356994629e-05, -2.798438072109222e-05, 4.246830940246582e-05, 0.000261843204498291, 0.0004973411560058594, 0.00019073486328125, 0.0006462931632995605, -0.0006385147571563721 ], "p_value": 0.34835, "permutation_pvalue": 0.34835, "verdict": "no measurable effect", "system_worked": false }, "mechanism_signature": { "density_mean": 0.0050777264, "density_max": 0.005121962, "width_inverse_sqrt_corr": 0.9998106, "observed_cost_cv": 7.35451e-05, "predicted_cost_equalization": "low CV under square-root allocation", "confirmed": true }, "custom_track": { "name": "conditional_sequence_diffusion", "file": "custom_diffusion_track.py", "domain": "sequence-level diffusion sampling" } }, "how_to_run": "/home/maxwelhelp/main/bin/python3 run_bench.py", "files": [ "custom_diffusion_track.py", "run_bench.py", "bench_report.json" ], "limitations": "The registered custom task is small and synthetic rather than CIFAR-10 with a pretrained diffusion model. FID, precision/recall, likelihood, Jacobian terms, and larger pretrained score networks were not tested; the reverse sampler is a lightweight Euler-like prototype.", "system_verdict": "partial", "practical_verdict": "no_effect", "mechanism_ok": 1, "system_judged": true }