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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "The registered dynamics track was run with matched rnn_small systems, a tuned baseline sweep, three idea settings, and 8 paired seeds. The idea had a small lower MSE but no significant win: delta_mean=-0.0015709631 and permutation p_value=0.93175. The mechanism signature was confirmed, but the task-metric verdict remains no significant win.",
  "metrics": {
    "baseline": "Full 8-seed mean MSE 0.0316817021; tuned lr=0.003, weight_decay=0.0",
    "idea": "Best 8-seed mean MSE 0.0301107391 at lr=0.003, weight_decay=0.0, kappa=0.002; paired delta=-0.0015709631; p=0.93175"
  },
  "bench_report": {
    "path": "bench_report.json",
    "bench_version": 1,
    "track": "dynamics",
    "model": "rnn_small",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.003,
        "weight_decay": 0.0,
        "kappa": 0.0
      },
      "full": {
        "mean": 0.03168170212302357,
        "std": 0.018327317088355676,
        "per_seed": [
          0.06044498085975647,
          0.014531154185533524,
          0.01185071561485529,
          0.026069054380059242,
          0.05299823358654976,
          0.023797301575541496,
          0.014214038848876953,
          0.04954813793301582
        ],
        "n": 8
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.001,
            "weight_decay": 0.0,
            "kappa": 0.0
          },
          "mean": 0.4700177311897278
        },
        {
          "cfg": {
            "lr": 0.001,
            "weight_decay": 0.0001,
            "kappa": 0.0
          },
          "mean": 0.47006765753030777
        },
        {
          "cfg": {
            "lr": 0.003,
            "weight_decay": 0.0,
            "kappa": 0.0
          },
          "mean": 0.02822397626005113
        },
        {
          "cfg": {
            "lr": 0.003,
            "weight_decay": 0.0001,
            "kappa": 0.0
          },
          "mean": 0.02829078072682023
        },
        {
          "cfg": {
            "lr": 0.01,
            "weight_decay": 0.0,
            "kappa": 0.0
          },
          "mean": 0.03205677215009928
        },
        {
          "cfg": {
            "lr": 0.01,
            "weight_decay": 0.0001,
            "kappa": 0.0
          },
          "mean": 0.03197645582258701
        }
      ]
    },
    "idea": {
      "mean": 0.030110739055089653,
      "std": 0.018290232592247106,
      "per_seed": [
        0.062178634107112885,
        0.010466991923749447,
        0.017325958237051964,
        0.034337423741817474,
        0.055281877517700195,
        0.03069481998682022,
        0.01328994520008564,
        0.017310261726379395
      ],
      "n": 8,
      "best_cfg": {
        "lr": 0.003,
        "weight_decay": 0.0,
        "kappa": 0.002
      }
    },
    "comparison": {
      "delta_mean": -0.001570963067933917,
      "idea_wins": 3,
      "n_pairs": 8,
      "per_seed_diffs": [
        0.0017336532473564148,
        -0.004064162261784077,
        0.005475242622196674,
        0.008268369361758232,
        0.0022836439311504364,
        0.006897518411278725,
        -0.0009240936487913132,
        -0.03223787620663643
      ],
      "p_value": 0.93175,
      "verdict": "no significant win",
      "system_worked": false
    },
    "mechanism_signature": {
      "math_sanity": {
        "predicted_rate": 1.4,
        "observed_rate": 1.288026525213435,
        "relative_error": 0.07998105341897488,
        "passed": true
      },
      "nn_scale": {
        "predicted_rate": 0.008,
        "observed_rate": 0.009309132871376703,
        "relative_error": 0.16364160892208784,
        "confirmed": true
      }
    }
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_commutant_gap.py",
  "files": [
    "bench_commutant_gap.py",
    "bench_report.json"
  ],
  "limitations": "The run used 3 epochs and 400 training/400 test examples to fit the runtime budget; the empirical gap was a lightweight covariance proxy rather than a full k-replica commutant SVD.",
  "system_verdict": "failed",
  "practical_verdict": "inconclusive",
  "mechanism_ok": 0,
  "system_judged": true
}