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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "The complementary-channel switched observer was implemented and evaluated as a matched recurrent system on the registered dynamics track. It did not improve the independent test MSE: baseline mean 0.0026321 versus idea mean 0.0031172, paired delta +0.0004851, permutation p=0.43845. The trained-model mechanism signature also failed to confirm contraction, with branch Jacobian norms 1.3431 and 1.3305 and observed product 1.7869.",
  "metrics": {
    "baseline": "best_cfg={'lr':0.006,'residual_scale':0.0}; full mean=0.0026320953911636025, std=0.0005285747590703118, per_seed=[0.0022362906020134687,0.0019099744968116283,0.002377047436311841,0.0036456219386309385,0.0032889561261981726,0.002569406060501933,0.0024848924949765205,0.002544573973864317]",
    "idea": "selected cfg={'lr':0.006,'gain':0.45}; full mean=0.0031172324815997854, std=0.0013738510956345731, per_seed=[0.003699983935803175,0.002306041307747364,0.0014978268882259727,0.004068186040967703,0.0020008618012070656,0.0021134966518729925,0.0032527041621506214,0.005998759064823389]"
  },
  "bench_report": {
    "bench_version": 1,
    "track": "dynamics",
    "model": "custom_switched_observer_rnn",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.006,
        "residual_scale": 0.0
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.0015,
            "residual_scale": 0.0
          },
          "mean": 0.013166054850444198
        },
        {
          "cfg": {
            "lr": 0.0015,
            "residual_scale": 0.45
          },
          "mean": 0.014295766479335725
        },
        {
          "cfg": {
            "lr": 0.0015,
            "residual_scale": 0.9
          },
          "mean": 0.0171925718896091
        },
        {
          "cfg": {
            "lr": 0.003,
            "residual_scale": 0.0
          },
          "mean": 0.004933564574457705
        },
        {
          "cfg": {
            "lr": 0.003,
            "residual_scale": 0.45
          },
          "mean": 0.0055945796193555
        },
        {
          "cfg": {
            "lr": 0.003,
            "residual_scale": 0.9
          },
          "mean": 0.00661358906654641
        },
        {
          "cfg": {
            "lr": 0.006,
            "residual_scale": 0.0
          },
          "mean": 0.002542233618441969
        },
        {
          "cfg": {
            "lr": 0.006,
            "residual_scale": 0.45
          },
          "mean": 0.002950671303551644
        },
        {
          "cfg": {
            "lr": 0.006,
            "residual_scale": 0.9
          },
          "mean": 0.0036307289847172797
        }
      ],
      "full": {
        "mean": 0.0026320953911636025,
        "std": 0.0005285747590703118,
        "per_seed": [
          0.0022362906020134687,
          0.0019099744968116283,
          0.002377047436311841,
          0.0036456219386309385,
          0.0032889561261981726,
          0.002569406060501933,
          0.0024848924949765205,
          0.002544573973864317
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 0.0031172324815997854,
      "std": 0.0013738510956345731,
      "per_seed": [
        0.003699983935803175,
        0.002306041307747364,
        0.0014978268882259727,
        0.004068186040967703,
        0.0020008618012070656,
        0.0021134966518729925,
        0.0032527041621506214,
        0.005998759064823389
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": 0.0004851370904361829,
      "idea_wins": 3,
      "n_pairs": 8,
      "per_seed_diffs": [
        0.0014636933337897062,
        0.0003960668109357357,
        -0.0008792205480858684,
        0.00042256410233676434,
        -0.001288094324991107,
        -0.0004559094086289406,
        0.0007678116671741009,
        0.003454185090959072
      ],
      "p_value": 0.43845,
      "mde": 0.0012544680223890213,
      "mde_rel_pct": 47.6604315558048,
      "verdict": "no significant win",
      "system_worked": false
    },
    "mechanism_signature": {
      "prediction": "cycle sensitivity should be below individual branch sensitivity",
      "observed_mean_branch_norms": [
        1.3430568054318428,
        1.3305060217777889
      ],
      "observed_cycle_norm_product": 1.786945167216707,
      "confirmed": false
    },
    "idea_sweep": [
      {
        "cfg": {
          "lr": 0.006,
          "gain": 0.45
        },
        "mean_on_sweep_seeds": 0.0028930095431860536
      },
      {
        "cfg": {
          "lr": 0.0015,
          "gain": 0.45
        },
        "mean_on_sweep_seeds": 0.01692552154418081
      },
      {
        "cfg": {
          "lr": 0.006,
          "gain": 0.45
        },
        "mean_on_sweep_seeds": 0.0028930095431860536
      }
    ]
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_observer.py",
  "files": [
    "bench_observer.py",
    "bench_report.json"
  ],
  "limitations": "Only the registered built-in dynamics pendulum track was tested. No custom intermittent-observation dataset, continuous-time integration, random switching, dwell-time or measurement-noise sweep, LMI gain optimization, or larger SSM architecture was evaluated; the implementation uses alternating learned feature projections as a discrete observer analogue.",
  "system_verdict": "failed",
  "practical_verdict": "inconclusive",
  "mechanism_ok": 0,
  "system_judged": true
}