# Стенд-проверка (stage-2) · промт оператора: (универсальный) Ответ агента: { "worked": false, "confidence": 9, "verdict": "Implemented Schur-Riesz greedy candidate expansion as a trained candidate-bank MLP and ran the full 8-seed paired protocol with an equal three-point learning-rate sweep. The idea had test MSE 21.9884 versus baseline 21.9049, paired delta +0.0835 and permutation p=0.18505, so it was not a significant win. The behavior-based mechanism signature was not confirmed because predicted projected gain correlated negatively with observed held-out selected-response energy (correlation -0.4155).", "metrics": { "baseline": "Best lr=0.01; full 8-seed test MSE mean 21.9048938751, std 1.9880925148.", "idea": "Best lr=0.01; full 8-seed test MSE mean 21.9883787632, std 1.8636409833.", "comparison": "delta_mean=0.0834848881, p_value=0.18505, idea_wins=3/8, verdict=no measurable effect.", "mechanism_signature": "predicted_projected_gain_mean=26.9075886458, observed_heldout_selected_response_mse_mean=65.3522763252, correlation=-0.4154841401, confirmed=false" }, "bench_report": { "bench_version": 1, "track": "tabular", "model": "candidate_mlp_shared", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.01 }, "sweep": [ { "cfg": { "lr": 0.001 }, "mean": 119.0243721008 }, { "cfg": { "lr": 0.003 }, "mean": 30.6222081184 }, { "cfg": { "lr": 0.01 }, "mean": 21.1519012451 } ], "full": { "mean": 21.9048938751, "std": 1.9880925148, "per_seed": [ 23.9184532166, 18.0108222961, 22.4227848053, 20.2555446625, 22.0122642517, 22.6612930298, 21.1731338501, 24.7848548889 ], "n": 8 } }, "idea": { "mean": 21.9883787632, "std": 1.8636409833, "per_seed": [ 23.7156906128, 18.2708892822, 22.4924755096, 20.5789108276, 22.1779880524, 22.6539249420166, 21.2506351471, 24.7665157318 ], "n": 8 }, "comparison": { "delta_mean": 0.0834848881, "idea_wins": 3, "n_pairs": 8, "per_seed_diffs": [ -0.2027626038, 0.2600669861, 0.0696907043, 0.3233661652, 0.1657238007, -0.0073680878, 0.0775012969970703 ], "p_value": 0.18505, "mde": 0.1400129123, "mde_rel_pct": 0.6391855311, "verdict": "no measurable effect", "system_worked": false }, "mechanism_signature": { "predicted_projected_gain_mean": 26.9075886458, "observed_heldout_selected_response_mse_mean": 65.3522763252, "predicted_per_seed": [ 21.2170729637, 7.129383563995, 23.92274475098, 49.0549783707, 8.37444102716, 25.9829173088, 46.1535587311, 33.4256124496 ], "observed_per_seed": [ 64.2324523926, 69.0945892334, 59.1286048889, 57.94867706299, 67.7763595581, 68.7218475342, 67.3427810669, 68.5728988647 ], "correlation": -0.4154841401, "confirmed": false }, "idea_sweep": [ { "cfg": { "lr": 0.001 }, "mean": 117.0982551575 }, { "cfg": { "lr": 0.003 }, "mean": 31.2304470539 }, { "cfg": { "lr": 0.01 }, "mean": 21.9883787632 } ] }, "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py", "files": [ "stage2_bench.py", "bench_report.json" ], "limitations": "Only the tabular track and a small candidate-bank MLP were tested; no LoRA, Transformer, MoE, vision, sequence, or dynamics implementation was evaluated. The candidate responses were direct output-block responses rather than minibatch Jacobian-mapped logits, and parameter-count/runtime savings were not measured.", "system_verdict": "failed", "practical_verdict": "no_effect", "mechanism_ok": 0, "system_judged": true }