ISS-Gated Positive Neural State Module / report_bench_2026-09-01T135124.md
Failed on benchmark
Стенд-проверка (stage-2) · промт оператора:
(универсальный)
Ответ агента:
{ "worked": false, "confidence": 9, "verdict": "Implemented the ISS-gated positive neural state module on the structurally matched dynamics track using an end-to-end positive birth/death recurrent state and differentiable ISS penalty. Across 8 paired seeds, test MSE improved from 0.0029277411 to 0.0024121132, a 17.6% reduction with 6/8 wins, but the paired permutation p-value was 0.0757, so there was no significant win. The trained states stayed positive and finite, but observed mean Vdot was positive (1.7622), so the quantitative ISS decay prediction was not confirmed.", "metrics": { "baseline": "rnn_small; best lr=0.003, weight_decay=0.0001; mean test MSE=0.0029277411", "idea": "Positive ISS recurrent state; lr=0.003, weight_decay=0.0001, lambda_iss=0.03; mean test MSE=0.0024121132", "delta_mean": -0.0005156279, "relative_improvement_pct": 17.614, "paired_permutation_p": 0.0757, "idea_wins": 6, "n_pairs": 8 }, "bench_report": { "bench_version": 1, "track": "dynamics", "model": "rnn_small", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.003, "weight_decay": 0.0001 }, "sweep": [ { "cfg": { "lr": 0.001, "weight_decay": 0.0 }, "mean": 0.0050202071 }, { "cfg": { "lr": 0.002, "weight_decay": 0.0 }, "mean": 0.0041176006 }, { "cfg": { "lr": 0.003, "weight_decay": 0.0 }, "mean": 0.002948912 }, { "cfg": { "lr": 0.001, "weight_decay": 0.0001 }, "mean": 0.0050069682 }, { "cfg": { "lr": 0.002, "weight_decay": 0.0001 }, "mean": 0.004086799 }, { "cfg": { "lr": 0.003, "weight_decay": 0.0001 }, "mean": 0.0029277411 } ], "full": { "mean": 0.0029277410794747993, "std": 0.0017676469099389427, "per_seed": [ 0.00244312291033566, 0.002742342883720994, 0.0011618298012763262, 0.007381403353065252, 0.00252148206345737, 0.0030865494627505545, 0.002133725443854928, 0.0019514727173373103 ], "n": 8 } }, "idea": { "mean": 0.0024121131718857214, "std": 0.0011804587505530163, "per_seed": [ 0.002581692300736904, 0.002109199995175004, 0.001057643094100058, 0.005024303216487169, 0.0026745826471596956, 0.0028591060545295477, 0.0019529175478965044, 0.0010374605190008879 ], "n": 8 }, "comparison": { "delta_mean": -0.000515627907589078, "idea_wins": 6, "n_pairs": 8, "p_value": 0.0757, "mde": 0.0006926282795900552, "mde_rel_pct": 23.6574, "verdict": "no significant win", "system_worked": false }, "mechanism_signature": { "prediction": { "claim": "bounded positive state should remain finite and ISS energy should not grow", "observed_Vdot_mean": 1.7621822357, "observed_V_mean": 0.0235587319, "observed_state_min": 0.0547080189, "observed_state_max": 3.6606810093, "interpretation": "Positive finite states were observed, but mean Vdot was positive rather than nonpositive; the ISS decay prediction is not confirmed." }, "confirmed": false } }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_experiment.py", "files": [ "bench_experiment.py", "bench_report.json" ], "limitations": "Only the built-in dynamics track was tested, with 400 training samples, 200 test samples, 12 epochs, one hidden width, one positive reaction structure, and three idea configurations. No long-horizon rollout metric, learned diagonal rescaling, RK4 integration, multidimensional reaction networks, or GPU/CPU ablation was evaluated.", "system_verdict": "failed", "practical_verdict": "inconclusive", "mechanism_ok": 0, "system_judged": true }