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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "The affine-symmetry-free GMM penalty was implemented as the only difference between matched mixture-latent systems and evaluated on the registered latent_mixture_transport bench track. It increased trained-model component separation substantially, from 0.59171 to 1.39520, confirming the mechanism prediction. Test MSE improved only from 1.411607 to 1.410381, with paired permutation p=0.4534, so the benchmark verdict is no measurable effect rather than a significant win.", "metrics": { "baseline": "Best configuration lr=0.006, weight_decay=0.0001, epochs=12; full 8-seed MSE mean=1.4116074741, std=0.1520304655.", "idea": "Best configuration lr=0.006, weight_decay=0.0001, epochs=12, eta=0.15, eps=0.7, lc=0.4, lw=0.8; full 8-seed MSE mean=1.4103810191, std=0.1516732604; delta=-0.0012264550; 4/8 paired wins; p=0.4534." }, "bench_report": { "bench_version": 1, "track": "latent_mixture_transport", "model": "mlp_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.006, "weight_decay": 0.0001, "epochs": 12 }, "sweep": [ { "cfg": { "lr": 0.001, "weight_decay": 0.0, "epochs": 12 }, "mean": 1.8367891312 }, { "cfg": { "lr": 0.001, "weight_decay": 0.0001, "epochs": 12 }, "mean": 1.8365409374 }, { "cfg": { "lr": 0.003, "weight_decay": 0.0, "epochs": 12 }, "mean": 1.3906366229 }, { "cfg": { "lr": 0.003, "weight_decay": 0.0001, "epochs": 12 }, "mean": 1.39057675 }, { "cfg": { "lr": 0.006, "weight_decay": 0.0, "epochs": 12 }, "mean": 1.3512018621 }, { "cfg": { "lr": 0.006, "weight_decay": 0.0001, "epochs": 12 }, "mean": 1.3509286046 } ], "full": { "mean": 1.4116074741, "std": 0.1520304655, "per_seed": [ 1.1823579073, 1.3585995436, 1.2878992558, 1.5748577118, 1.2869343758, 1.4514666796, 1.4836752415, 1.6670690775 ], "n": 8 } }, "idea": { "mean": 1.4103810191, "std": 0.1516732604, "per_seed": [ 1.1856765747, 1.3513442278, 1.2891943455, 1.5783517361, 1.2844913006, 1.4521328211, 1.4760129452, 1.665844202 ], "cfg": { "lr": 0.006, "weight_decay": 0.0001, "epochs": 12, "eta": 0.15, "eps": 0.7, "lc": 0.4, "lw": 0.8 } }, "comparison": { "delta_mean": -0.001226455, "idea_wins": 4, "n_pairs": 8, "per_seed_diffs": [ 0.0033186674, -0.0072553158, 0.0012950897, 0.0034940243, -0.0024430752, 0.0006661415, -0.0076622963, -0.0012248755 ], "p_value": 0.4534, "mde": 0.0036327497, "mde_rel_pct": 0.2573484305, "verdict": "no measurable effect", "system_worked": false }, "mechanism_signature": { "prediction": "signature separation penalty increases minimum component-mean separation and lowers residual component similarity", "baseline_mean_pair_min": 0.591710411, "idea_mean_pair_min": 1.395195812, "predicted_direction": "idea_mean_pair_min > baseline_mean_pair_min", "confirmed": true } }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_run.py", "files": [ "bench_run.py", "latent_mixture_transport_local.py", "bench_report.json", "bench_stdout.txt" ], "limitations": "The registered track's shared loader has a target reshaping bug for its two-dimensional targets, so the runner used the identical corrected local dataset generator while retaining the registered track name. The experiment did not test MNIST/dSprites, factor-probe accuracy, mutual information, or cross-seed affine alignment.", "system_verdict": "partial", "practical_verdict": "no_effect", "mechanism_ok": 1, "system_judged": true }