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

(универсальный)

Ответ агента:

{
  "worked": true,
  "confidence": 7,
  "verdict": "The resonance-aware intervention significantly improved the structurally matched dynamics benchmark: mean test MSE fell from 0.00207045 to 0.00143193 across 8 paired seeds, with all 8 paired wins and permutation p=0.0081. The mathematical sanity check passed, but the trained-model mechanism signature was not confirmed because the observed recurrent norm exceeded the target and fitted frequency reached the search boundary; therefore the empirical win is real under the bench criterion, while resonance-specific attribution remains uncertain.",
  "metrics": {
    "baseline": "Tuned baseline: mean test MSE 0.0020704465 over 8 seeds.",
    "idea": "Best resonance-aware setting: mean test MSE 0.0014319316 over 8 seeds; paired delta -0.0006385149; 8/8 wins; p=0.0081."
  },
  "bench_report": {
    "bench_version": 1,
    "track": "dynamics",
    "model": "rnn_small",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.006,
        "weight_decay": 0.0001
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.001,
            "weight_decay": 0.0
          },
          "mean": 0.004298779065720737
        },
        {
          "cfg": {
            "lr": 0.001,
            "weight_decay": 0.0001
          },
          "mean": 0.0042995543335564435
        },
        {
          "cfg": {
            "lr": 0.003,
            "weight_decay": 0.0
          },
          "mean": 0.0034615940821822733
        },
        {
          "cfg": {
            "lr": 0.003,
            "weight_decay": 0.0001
          },
          "mean": 0.003432174737099558
        },
        {
          "cfg": {
            "lr": 0.006,
            "weight_decay": 0.0
          },
          "mean": 0.0018282315868418664
        },
        {
          "cfg": {
            "lr": 0.006,
            "weight_decay": 0.0001
          },
          "mean": 0.0017760894843377173
        }
      ],
      "full": {
        "mean": 0.0020704464986920357,
        "std": 0.00039353273372166414,
        "per_seed": [
          0.0019586661364883184,
          0.0013749259524047375,
          0.00156879099085927,
          0.002201974857598543,
          0.0023778362665325403,
          0.002474326640367508,
          0.0020717033185064793,
          0.0025353478267788887
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 0.0014319315523607656,
      "std": 0.00040801966999132736,
      "per_seed": [
        0.00139222526922822,
        0.0008285212097689509,
        0.0013016352895647287,
        0.001789333182387054,
        0.0009683115640655165,
        0.0018908914644271135,
        0.0012502360623329878,
        0.002034298377111554
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": -0.00063851494633127,
      "idea_wins": 8,
      "n_pairs": 8,
      "per_seed_diffs": [
        -0.0005664408672600985,
        -0.0005464047426357865,
        -0.00026715570129454136,
        -0.0004126416752114892,
        -0.0014095247024670243,
        -0.0005834351759403944,
        -0.0008214672561734915,
        -0.0005010494496673346
      ],
      "p_value": 0.0081,
      "mde": 0.0002917931104320964,
      "mde_rel_pct": 14.093245617137706,
      "verdict": "idea better (significant)",
      "system_worked": true
    },
    "mechanism_signature": {
      "predicted_vs_observed": {
        "target_radius": 0.9,
        "observed_radius_mean": 1.5063634291291237,
        "fitted_mode_rows": [
          {
            "epoch": 0,
            "fitted_radius": 0.8541139240506328,
            "fitted_omega": 0.05
          },
          {
            "epoch": 11,
            "fitted_radius": 0.894367088607595,
            "fitted_omega": 0.05
          }
        ]
      },
      "confirmed": false
    },
    "math_sanity": {
      "true_radius": 0.93,
      "fitted_radius": 0.9346202531645569,
      "true_omega": 0.42,
      "fitted_omega": 0.4275280898876404,
      "radius_abs_error": 0.004620253164556831,
      "frequency_abs_error": 0.007528089887640421,
      "pass": true
    }
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_resonance.py",
  "files": [
    "bench_resonance.py",
    "bench_report.json"
  ],
  "limitations": "Only the registered dynamics track was tested. The experiment used 12 epochs and 400/200 examples; no wall-clock or FLOP comparison was performed. The intervention used a recurrent matrix spectral-norm proxy rather than a full transfer-operator resonance fit, and the trained-model mechanism signature was not confirmed.",
  "system_verdict": "worked",
  "practical_verdict": "helps",
  "mechanism_ok": 0,
  "system_judged": true
}