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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 10,
  "verdict": "The H-infinity-inspired Jacobian disturbance-gain penalty was implemented for the matched controlled-pendulum dynamics task using the same rnn_small GRU as baseline. The full paired benchmark showed no improvement: the idea exactly matched the tuned baseline, with paired delta 0 and permutation p=1.0. The trained-model sensitivity signature was also unchanged, so the proposed mechanism was not confirmed.",
  "metrics": {
    "baseline": "Best lr=0.006; 8-seed test MSE mean=0.0005194859513721894, std=0.0001693891077925739.",
    "idea": "Best shared lr=0.006; 8-seed test MSE mean=0.0005194859513721894, std=0.0001693891077925739; paired delta=0.0, p=1.0, wins=0/8."
  },
  "bench_report": {
    "bench_version": 1,
    "track": "dynamics",
    "model": "rnn_small",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.006
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.001
          },
          "mean": 0.0015310924500226974
        },
        {
          "cfg": {
            "lr": 0.003
          },
          "mean": 0.0008559521666029468
        },
        {
          "cfg": {
            "lr": 0.006
          },
          "mean": 0.0005687399534508586
        }
      ],
      "full": {
        "mean": 0.0005194859513721894,
        "std": 0.0001693891077925739,
        "per_seed": [
          0.0005914251087233424,
          0.0007362987380474806,
          0.00035295303678140044,
          0.0005942829302512109,
          0.0002958264376502484,
          0.0005069610779173672,
          0.00032333534909412265,
          0.0007548049325123429
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 0.0005194859513721894,
      "std": 0.0001693891077925739,
      "per_seed": [
        0.0005914251087233424,
        0.0007362987380474806,
        0.00035295303678140044,
        0.0005942829302512109,
        0.0002958264376502484,
        0.0005069610779173672,
        0.00032333534909412265,
        0.0007548049325123429
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": 0.0,
      "idea_wins": 0,
      "n_pairs": 8,
      "per_seed_diffs": [
        0.0,
        0.0,
        0.0,
        0.0,
        0.0,
        0.0,
        0.0,
        0.0
      ],
      "p_value": 1.0,
      "mde": 0.0,
      "mde_rel_pct": 0.0,
      "verdict": "no measurable effect",
      "system_worked": false
    },
    "mechanism_signature": {
      "claim": "bounded-real attenuation reduces local input-disturbance gain",
      "gamma": 0.5,
      "idea_lr": 0.006,
      "baseline_observed_mean_local_gain": 0.431841354817152,
      "idea_observed_mean_local_gain": 0.431841354817152,
      "baseline_observed_p95_local_gain": 0.4626914465799927,
      "idea_observed_p95_local_gain": 0.4626914465799927,
      "baseline_task_mse_at_same_lr": 0.0005194859513721894,
      "idea_task_mse_at_same_lr": 0.0005194859513721894,
      "confirmed": false
    },
    "idea_sweep": [
      {
        "lr": 0.001,
        "mean": 0.0015310924500226974
      },
      {
        "lr": 0.003,
        "mean": 0.0008559521666029468
      },
      {
        "lr": 0.006,
        "mean": 0.0005687399534508586
      }
    ],
    "structural_match": "controlled damped pendulum; stability/control track"
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py",
  "files": [
    "stage2_bench.py",
    "bench_report.json"
  ],
  "limitations": "Only the registered built-in controlled-pendulum dynamics track was tested. The intervention is a finite-dimensional Jacobian-gain penalty proxy rather than a full learned observer with explicit latent P, time-varying plant Jacobians, observation correction, or a formal differential LMI. Held-out impulsive-disturbance rollouts, Lorenz-63, larger models, and a true partial-observation observer head were not tested.",
  "system_verdict": "failed",
  "practical_verdict": "no_effect",
  "mechanism_ok": 0,
  "system_judged": true
}