# Стенд-проверка (stage-2) · промт оператора: (универсальный) Ответ агента: { "worked": false, "confidence": 9, "verdict": "The full structurally matched benchmark was completed on the registered translated_density_transport track with independently trained baseline and monotone CDT systems, identical MLP capacity, shared learning-rate grid, and eight paired seeds. The monotone mechanism was confirmed quantitatively, but task MSE was significantly worse for the idea: 4.1069303155 versus 0.0046020751 for the baseline, delta +4.1023282403, permutation p=0.0081.", "metrics": { "baseline": "Best lr=0.009; full 8-seed test MSE mean 0.004602075146976858.", "idea": "Best lr=0.009; full 8-seed test MSE mean 4.106930315494537; monotonic fraction 1.0; negative fraction 0.0; mass proxy error 2.808868893033889e-08." }, "bench_report": { "bench_version": 1, "track": "translated_density_transport", "model": "shared_mlp", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.009 }, "sweep": [ { "cfg": { "lr": 0.001 }, "mean": 0.6033583730459213 }, { "cfg": { "lr": 0.003 }, "mean": 0.06099952198565006 }, { "cfg": { "lr": 0.009 }, "mean": 0.005193391698412597 } ], "full": { "mean": 0.004602075146976858, "std": 0.0010999913497623144, "per_seed": [ 0.004353613592684269, 0.00704985624179244, 0.005014418624341488, 0.0043556783348321915, 0.004588612355291843, 0.0034741132985800505, 0.004819120746105909, 0.003161187982186675 ], "n": 8 } }, "idea": { "mean": 4.106930315494537, "std": 0.0030807169256581463, "per_seed": [ 4.1090593338012695, 4.107220649719238, 4.104761600494385, 4.1017680168151855, 4.108211040496826, 4.103658676147461, 4.111758232116699, 4.109004974365234 ], "n": 8, "best_cfg": { "lr": 0.009 }, "sweep": [ { "cfg": { "lr": 0.001 }, "mean": 4.110945641994476, "std": 0.003565288253498607, "per_seed": [ 4.113897800445557, 4.113440036773682, 4.10503101348877, 4.1087565422058105, 4.1114397048950195, 4.106204509735107, 4.114856719970703, 4.113938808441162 ], "n": 8 }, { "cfg": { "lr": 0.003 }, "mean": 4.108930468559265, "std": 0.002267987204719172, "per_seed": [ 4.110673427581787, 4.107449531555176, 4.107608795166016, 4.105695724487305, 4.110192775726318, 4.106705188751221, 4.112852096557617, 4.110266208648682 ], "n": 8 }, { "cfg": { "lr": 0.009 }, "mean": 4.106930315494537, "std": 0.0030807169256581463, "per_seed": [ 4.1090593338012695, 4.107220649719238, 4.104761600494385, 4.1017680168151855, 4.108211040496826, 4.103658676147461, 4.111758232116699, 4.109004974365234 ], "n": 8 } ] }, "comparison": { "delta_mean": 4.1023282403475605, "idea_wins": 0, "n_pairs": 8, "per_seed_diffs": [ 4.104705720208585, 4.100170793477446, 4.099747181870043, 4.097412338480353, 4.103622428141534, 4.100184562848881, 4.106939111370593, 4.105843786383048 ], "p_value": 0.0081, "mde": 0.0028447563556861727, "mde_rel_pct": 61.81464371686579, "verdict": "idea worse (significant)", "system_worked": false }, "mechanism_signature": { "trained_models": true, "prediction": "translated states should produce monotone quantiles with approximately constant +0.08 displacement, nonnegative decoded densities, and unit mass", "predicted_vs_observed": { "expected_quantile_shift": 0.08, "observed_mean_quantile_shift": 0.05113657424226403, "observed_monotone_fraction": 1.0, "observed_idea_negative_fraction": 0.0, "observed_idea_mean_mass_proxy_error": 2.808868893033889e-08, "observed_baseline_negative_fraction": 0.3139062523841858 }, "confirmed": true, "paired_values": [ { "seed": 0, "baseline": 0.004353613592684269, "idea": 4.1090593338012695 }, { "seed": 1, "baseline": 0.00704985624179244, "idea": 4.107220649719238 }, { "seed": 2, "baseline": 0.005014418624341488, "idea": 4.104761600494385 }, { "seed": 3, "baseline": 0.0043556783348321915, "idea": 4.1017680168151855 }, { "seed": 4, "baseline": 0.004588612355291843, "idea": 4.108211040496826 }, { "seed": 5, "baseline": 0.0034741132985800505, "idea": 4.103658676147461 }, { "seed": 6, "baseline": 0.004819120746105909, "idea": 4.111758232116699 }, { "seed": 7, "baseline": 0.003161187982186675, "idea": 4.109004974365234 } ], "idea_sweep": [ { "cfg": { "lr": 0.001 }, "mean": 4.110945641994476, "std": 0.003565288253498607, "per_seed": [ 4.113897800445557, 4.113440036773682, 4.10503101348877, 4.1087565422058105, 4.1114397048950195, 4.106204509735107, 4.114856719970703, 4.113938808441162 ], "n": 8 }, { "cfg": { "lr": 0.003 }, "mean": 4.108930468559265, "std": 0.002267987204719172, "per_seed": [ 4.110673427581787, 4.107449531555176, 4.107608795166016, 4.105695724487305, 4.110192775726318, 4.106705188751221, 4.112852096557617, 4.110266208648682 ], "n": 8 }, { "cfg": { "lr": 0.009 }, "mean": 4.106930315494537, "std": 0.0030807169256581463, "per_seed": [ 4.1090593338012695, 4.107220649719238, 4.104761600494385, 4.1017680168151855, 4.108211040496826, 4.103658676147461, 4.111758232116699, 4.109004974365234 ], "n": 8 } ] } }, "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_transport_bench.py", "files": [ "stage2_transport_bench.py", "custom_transport_track.py", "bench_report.json", "bench_stdout.txt" ], "limitations": "Only the registered 1D translated-density transport track was tested. Higher-dimensional fields, POD bottlenecks, learned latent dimensions d=2/4/8, alternative push-forward discretizations, and longer training budgets were not evaluated.", "system_verdict": "partial", "practical_verdict": "harms", "mechanism_ok": 1, "system_judged": true }