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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "Implemented Universal Clock Regularization on the registered built-in dynamics track using a shared rnn_small GRU and phase head; baseline and idea differed only in whether the clock/cycle loss was applied. The mechanism prediction was confirmed on trained benchmark models, with phase-velocity variance falling from 9.041786 to 0.005593 and normalized clock error from 13.826433 to 0.469028. Task MSE improved from 0.0003420520 to 0.0003175788, but the paired permutation test was non-significant (p=0.5604), so the required significant-win verdict is false.",
  "metrics": {
    "baseline": "8-seed test MSE mean 0.000342052033, std 0.000169648038; tuned lr=0.01",
    "idea": "8-seed test MSE mean 0.000317578835, std 0.000121424379; best idea lr=0.01",
    "paired_delta": "-0.000024473198 (idea - baseline; lower is better)",
    "permutation_p": "0.5604",
    "mechanism": "phase velocity variance 9.041786 -> 0.005593; normalized clock error 13.826433 -> 0.469028; confirmed=true"
  },
  "bench_report": {
    "bench_version": 1,
    "track": "dynamics",
    "model": "rnn_small",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.01
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.001
          },
          "mean": 0.0016091743600554764
        },
        {
          "cfg": {
            "lr": 0.003
          },
          "mean": 0.0008843674877425656
        },
        {
          "cfg": {
            "lr": 0.01
          },
          "mean": 0.0004280267676222138
        }
      ],
      "full": {
        "mean": 0.0003420520333747845,
        "std": 0.00016964803808050996,
        "per_seed": [
          0.0002832822792697698,
          0.00029989160248078406,
          0.0003870299260597676,
          0.0007419032626785338,
          0.0003700012748595327,
          0.00012643028458114713,
          0.0002213301049778238,
          0.00030654753209091723
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 0.00031757883516547736,
      "std": 0.00012142437873431676,
      "per_seed": [
        0.0002894827339332551,
        0.0003101625479757786,
        0.0004648705362342298,
        0.0005544392624869943,
        0.0002837668580468744,
        0.00024210276023950428,
        0.00024163190391846,
        0.00015417407848872244
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": -2.4473198209307157e-05,
      "idea_wins": 3,
      "n_pairs": 8,
      "per_seed_diffs": [
        6.200454663485289e-06,
        1.0270945494994521e-05,
        7.78406101744622e-05,
        -0.00018746400019153953,
        -8.623441681265831e-05,
        0.00011567247565835714,
        2.0301798940636218e-05,
        -0.00015237345360219479
      ],
      "p_value": 0.5604,
      "mde": 8.994591863352359e-05,
      "mde_rel_pct": 26.29597542399941,
      "verdict": "no significant win",
      "system_worked": false
    },
    "mechanism_signature": {
      "mechanism_signature": {
        "prediction": "clock regularization reduces phase-velocity variance on trained recurrent trajectories",
        "baseline_test_mean_phase_velocity_var": 9.041786380112171,
        "idea_test_mean_phase_velocity_var": 0.005592545494437218,
        "baseline_test_mean_normalized_clock_error": 13.826433002948761,
        "idea_test_mean_normalized_clock_error": 0.46902846172451973,
        "confirmed": true
      },
      "idea_lr_grid": {
        "0.001": {
          "mean": 0.0017382999067194764,
          "std": 0.0006141943245580857,
          "per_seed": [
            0.0011724976357072592,
            0.0012341204565018415,
            0.002423458034172654,
            0.0024381368421018124,
            0.001139834406785667,
            0.0011474714847281575,
            0.0017310797702521086,
            0.0026198006235063076
          ],
          "n": 8
        },
        "0.003": {
          "mean": 0.0008836812994559295,
          "std": 0.00024104514786964793,
          "per_seed": [
            0.0007145126583054662,
            0.0006794828223064542,
            0.0011653573019430041,
            0.0012316256761550903,
            0.000606869871262461,
            0.0006913324468769133,
            0.0008201156160794199,
            0.0011601540027186275
          ],
          "n": 8
        },
        "0.01": {
          "mean": 0.00031757883516547736,
          "std": 0.00012142437873431676,
          "per_seed": [
            0.0002894827339332551,
            0.0003101625479757786,
            0.0004648705362342298,
            0.0005544392624869943,
            0.0002837668580468744,
            0.00024210276023950428,
            0.00024163190391846,
            0.00015417407848872244
          ],
          "n": 8
        }
      },
      "track_rationale": "The registered dynamics track contains recurrent controlled pendulum trajectories and is the mandated structural match."
    }
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_clock.py",
  "files": [
    "bench_clock.py",
    "bench_report.json"
  ],
  "limitations": "Only the registered built-in dynamics task and 24 epochs were tested. Long-horizon free-running 10/50/200-period evaluation, Van der Pol/Lorenz data, lambda-clock sweeps, and precursor timing analysis were not performed.",
  "system_verdict": "failed",
  "practical_verdict": "inconclusive",
  "mechanism_ok": 0,
  "system_judged": true
}