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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 10,
  "verdict": "The Fourier-tumble recurrent system was evaluated on the structurally matched official dynamics track using the registered rnn_small task, train_model, an equal learning-rate sweep, and 8 paired seeds. The idea's best mean test MSE was 0.000868575 versus the tuned baseline's 0.000545172, giving delta_mean +0.000323403 and permutation p=0.26825; therefore there is no significant win. The trained-model mechanism signature was confirmed: observed homogeneous transition ratio 0.799553, predicted norm 0.799553, and max |Pi_1| 0.131361, all within the contraction bound.",
  "metrics": {
    "baseline": "Official dynamics baseline sweep: lr=0.001 mean 0.001864718, lr=0.003 mean 0.001090130, lr=0.01 mean 0.000618668 on sweep seeds; best lr=0.01 full 8-seed mean MSE 0.000545172.",
    "idea": "Official dynamics idea sweep: lr=0.001 mean 0.002506814, lr=0.003 mean 0.001100955, lr=0.01 mean 0.000868575 on 8 seeds; best lr=0.01. Idea-minus-baseline paired delta +0.000323403, p=0.26825, 3/8 paired wins.",
    "mechanism_signature": "confirmed=true; trained-model max predicted transition norm 0.799553, max observed homogeneous ratio 0.799553, max |Pi_1| 0.131361."
  },
  "bench_report": {
    "bench_version": 1,
    "track": "dynamics",
    "model": "rnn_small",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.01,
        "weight_decay": 0.0
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.001,
            "weight_decay": 0.0
          },
          "mean": 0.001864717691205442
        },
        {
          "cfg": {
            "lr": 0.003,
            "weight_decay": 0.0
          },
          "mean": 0.0010901302302954718
        },
        {
          "cfg": {
            "lr": 0.01,
            "weight_decay": 0.0
          },
          "mean": 0.0006186682076076977
        }
      ],
      "full": {
        "mean": 0.00054517226817552,
        "std": 0.00020361842727135583,
        "n": 8
      }
    },
    "idea": {
      "mean": 0.0008685752491146559,
      "std": 0.0006023882637592906,
      "per_seed": [
        0.000623027968686074,
        0.0002831997990142554,
        0.0018796202493831515,
        0.00019449168758001179,
        0.0017858315259218216,
        0.0008392879390157759,
        0.000899141828995198,
        0.00044400099432095885
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": 0.0003234029809391359,
      "idea_wins": 3,
      "n_pairs": 8,
      "per_seed_diffs": [
        0.00012993672862648964,
        -0.0001933947205543518,
        0.0014122553984634578,
        -0.0008431305323028937,
        0.0012741676764562726,
        0.0005669532984029502,
        0.00034196506021544337,
        -0.000101529061794281
      ],
      "p_value": 0.26825,
      "mde": 0.000631684873015127,
      "mde_rel_pct": 115.86885648624994,
      "verdict": "no significant win",
      "system_worked": false
    },
    "idea_sweep": [
      {
        "cfg": {
          "lr": 0.001,
          "weight_decay": 0.0
        },
        "result": {
          "mean": 0.0025068143904718454,
          "std": 0.004455793347706985,
          "per_seed": [
            0.0003443159512244165,
            0.0006758710369467735,
            0.0004920198116451502,
            0.00010601181566016749,
            0.0013106095138937235,
            0.0029909624718129635,
            7.743191963527352e-05,
            0.014057292602956295
          ],
          "n": 8
        }
      },
      {
        "cfg": {
          "lr": 0.003,
          "weight_decay": 0.0
        },
        "result": {
          "mean": 0.0011009546731202136,
          "std": 0.0013963019006052824,
          "per_seed": [
            0.0001262359437532723,
            0.0005790527211502194,
            0.004503095522522926,
            2.494791442586574e-05,
            0.001412989222444594,
            0.00057682313490659,
            5.747442992287688e-05,
            0.0015270184958353639
          ],
          "n": 8
        }
      },
      {
        "cfg": {
          "lr": 0.01,
          "weight_decay": 0.0
        },
        "result": {
          "mean": 0.0008685752491146559,
          "std": 0.0006023882637592906,
          "per_seed": [
            0.000623027968686074,
            0.0002831997990142554,
            0.0018796202493831515,
            0.00019449168758001179,
            0.0017858315259218216,
            0.0008392879390157759,
            0.000899141828995198,
            0.00044400099432095885
          ],
          "n": 8
        }
      }
    ],
    "mechanism_signature": {
      "trained_model_samples": 8,
      "predicted_max_norm": 0.7995531558990479,
      "observed_max_homogeneous_ratio": 0.7995532751083374,
      "observed_max_abs_pi": 0.13136059045791626,
      "confirmed": true
    }
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py",
  "files": [
    "stage2_bench.py",
    "bench_report.json"
  ],
  "limitations": "The official dynamics track was run successfully. The implementation uses a 64-dimensional Fourier channel system matching the rnn_small hidden width, but it does not include GRU or transformer comparisons because the required paired comparison is the standard rnn_small baseline versus the mechanism-modified recurrent system. The mechanism signature tests the trained transition behavior and contraction bound, not an independent task-level causal attribution.",
  "system_verdict": "partial",
  "practical_verdict": "inconclusive",
  "mechanism_ok": 1,
  "system_judged": true
}