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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "Implemented an averaged contractive state-space recurrent model and compared it end-to-end against the matched bench rnn_small GRU on the structurally appropriate dynamics track. Across 8 paired seeds, the idea had MSE 0.29984 versus baseline 0.00952, with paired delta +0.29033 and permutation p=0.0081, so it was significantly worse. The trained-model mechanism signature observed negative matrix measure but only a noisy slope of 0.258 rather than the predicted approximately 1.0, and was therefore not confirmed.",
  "metrics": {
    "baseline": "dynamics/rnn_small; best lr=0.01 from sweep [0.001, 0.003, 0.01]; 8-seed test MSE mean=0.0095184, std=0.0041543",
    "idea": "averaged contractive Euler recurrence; best tested lr=0.01; 8-seed test MSE mean=0.2998441, std=0.0752087; paired delta=+0.2903256; permutation p=0.0081; observed trained-model averaging slope=0.2579; observed max mu2=-1.5681; mechanism confirmed=false"
  },
  "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": 0.2699683979153633
        },
        {
          "cfg": {
            "lr": 0.003
          },
          "mean": 0.01333702343981713
        },
        {
          "cfg": {
            "lr": 0.01
          },
          "mean": 0.009317408432252705
        }
      ],
      "full": {
        "mean": 0.009518424805719405,
        "std": 0.004154286071903827,
        "per_seed": [
          0.013998116366565228,
          0.005631609819829464,
          0.013994917273521423,
          0.0036449902690947056,
          0.007559004705399275,
          0.006567755248397589,
          0.00925444532185793,
          0.01549655944108963
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 0.2998440582305193,
      "std": 0.07520865063647589,
      "per_seed": [
        0.39651888608932495,
        0.2933981418609619,
        0.41620975732803345,
        0.24436108767986298,
        0.27874669432640076,
        0.17241966724395752,
        0.3343149721622467,
        0.2627832591533661
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": 0.2903256334247999,
      "idea_wins": 0,
      "n_pairs": 8,
      "per_seed_diffs": [
        0.3825207697227597,
        0.28776653204113245,
        0.402214840054512,
        0.24071609741076827,
        0.2711876896210015,
        0.16585191199555993,
        0.3250605268403888,
        0.24728669971227646
      ],
      "p_value": 0.0081,
      "mde": 0.0650801969908384,
      "mde_rel_pct": 683.7286454344126,
      "verdict": "idea worse (significant)",
      "system_worked": false
    },
    "mechanism_signature": {
      "prediction": "trained averaged/fast state error decreases with eps; mu2 is negative",
      "rows": [
        {
          "eps": 0.5,
          "rms_state_error": 0.0011420742375776172
        },
        {
          "eps": 0.25,
          "rms_state_error": 0.0007367426878772676
        },
        {
          "eps": 0.125,
          "rms_state_error": 0.0004585969727486372
        },
        {
          "eps": 0.0625,
          "rms_state_error": 0.0007371138781309128
        }
      ],
      "observed_loglog_slope": 0.2579025020059939,
      "predicted_error_slope": 1.0,
      "predicted_mu2_upper_bound": -1.35,
      "observed_max_mu2": -1.5680792331695557,
      "confirmed": false
    },
    "idea_sweep": [
      {
        "cfg": {
          "lr": 0.001
        },
        "mean": 0.7121945843100548
      },
      {
        "cfg": {
          "lr": 0.003
        },
        "mean": 0.6083195172250271
      },
      {
        "cfg": {
          "lr": 0.01
        },
        "mean": 0.2998440582305193
      }
    ],
    "runtime_seconds": 79.51734733581543
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_stage2.py",
  "files": [
    "bench_stage2.py",
    "bench_report.json"
  ],
  "limitations": "Only the matched built-in dynamics track was tested; sequential and vision/tabular tracks were not run. The benchmark was reduced to n_train=400, n_test=160, and 5 epochs to fit the time budget after the initial larger run timed out. The implementation uses a discrete Euler recurrence and a simplified phase-modulated diagonal drift rather than a full continuous-time neural ODE solver.",
  "system_verdict": "failed",
  "practical_verdict": "harms",
  "mechanism_ok": 0,
  "system_judged": true
}