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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 10,
  "verdict": "The official registered tabular/mlp_tiny benchmark was run through bench.make_report() with a tuned baseline sweep and 8 paired seeds. The spectral target had identical mean test MSE to baseline, delta_mean=0 and permutation p=1.0, so there was no significant task-metric win. The projection-product math check passed, but the trained-network mechanism signature was not confirmed because observed moments differed substantially from the free-law targets.",
  "metrics": {
    "baseline": "Mean test MSE 21.810271620750427; best lr=0.003, epochs=8.",
    "idea": "Mean test MSE 21.810271620750427; best lr=0.003, lambda=0.0001, epochs=8; paired delta=0.0; p=1.0."
  },
  "bench_report": {
    "bench_version": 1,
    "track": "tabular",
    "model": "mlp_tiny",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.003,
        "epochs": 8,
        "weight_decay": 0.0,
        "lam": 0.0
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.001,
            "epochs": 8,
            "weight_decay": 0.0,
            "lam": 0.0
          },
          "mean": 188.35083389282227
        },
        {
          "cfg": {
            "lr": 0.003,
            "epochs": 8,
            "weight_decay": 0.0,
            "lam": 0.0
          },
          "mean": 19.947585344314575
        },
        {
          "cfg": {
            "lr": 0.006,
            "epochs": 8,
            "weight_decay": 0.0,
            "lam": 0.0
          },
          "mean": 22.523260593414307
        }
      ],
      "full": {
        "mean": 21.810271620750427,
        "std": 6.031322024802775,
        "per_seed": [
          17.455322265625,
          15.50521183013916,
          29.37735366821289,
          17.45245361328125,
          33.27134323120117,
          16.96589469909668,
          22.887645721435547,
          21.56694793701172
        ],
        "n": 8
      }
    },
    "idea": {
      "best_cfg": {
        "lr": 0.003,
        "epochs": 8,
        "weight_decay": 0.0,
        "lam": 0.0001
      },
      "mean": 21.810271620750427,
      "std": 6.031322024802775,
      "per_seed": [
        17.455322265625,
        15.50521183013916,
        29.37735366821289,
        17.45245361328125,
        33.27134323120117,
        16.96589469909668,
        22.887645721435547,
        21.56694793701172
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": 0.0,
      "idea_wins": 0,
      "n_pairs": 8,
      "per_seed_diffs": [
        0.0,
        0.0,
        0.0,
        0.0,
        0.0,
        0.0,
        0.0,
        0.0
      ],
      "p_value": 1.0,
      "mde": 0.0,
      "mde_rel_pct": 0.0,
      "verdict": "no measurable effect",
      "system_worked": false
    },
    "mechanism_signature": {
      "source": "trained mlp_tiny Jacobian on held-out tabular inputs",
      "predicted_moments": [
        0.9692332148551941,
        0.9687697291374207
      ],
      "observed_moments": [
        5.242537975311279,
        34.17074203491211
      ],
      "log_moment_rmse": 2.7879295349121094,
      "confirmed": false
    },
    "math_check": {
      "tau": 0.5,
      "target": [
        0.6065306663513184,
        0.5518191456794739
      ],
      "empirical": [
        0.600790664279383,
        0.5476969697311627
      ],
      "abs_error": [
        0.005740002071935368,
        0.004122175948311213
      ],
      "confirmed": true
    }
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py",
  "files": [
    "stage2_bench.py",
    "bench_report.json",
    "bench_run.log"
  ],
  "limitations": "Only the structurally matched built-in tabular track was tested. The intervention used a small exact Jacobian probe loss during early training; vision, sequence, dynamics, FLOP accounting, gradient variance, and singular-value histograms were not tested.",
  "system_verdict": "failed",
  "practical_verdict": "no_effect",
  "mechanism_ok": 0,
  "system_judged": true
}