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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 10,
  "verdict": "Implemented Key-Selective Delta Momentum as a custom optimizer loop for the structurally matched tabular Friedman#1 MLP track, using eight paired seeds and a shared learning-rate search space. The best idea configuration (lr=0.01, alpha=0.001) achieved mean test MSE 25.2594 versus 7.6434 for tuned SGD momentum; paired permutation p=0.0081 and positive delta_mean indicate the idea was significantly worse. The trained-model mechanism signature returned NaN and was not confirmed.",
  "metrics": {
    "baseline": "SGD global EMA momentum, best lr=0.01: mean test MSE 7.6434266567 over 8 seeds",
    "idea": "Normalized key-selective delta momentum, best lr=0.01 alpha=0.001: mean test MSE 25.2593717575 over 8 seeds",
    "paired_delta": "idea - baseline = +17.6159451008 MSE; permutation p=0.0081; verdict: idea worse (significant)"
  },
  "bench_report": {
    "bench_version": 1,
    "track": "tabular",
    "model": "mlp_tiny",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.01
      },
      "full": {
        "mean": 7.6434266567230225,
        "std": 0.8221427491581741,
        "per_seed": [
          8.429168701171875,
          5.926450729370117,
          7.732613563537598,
          8.432124137878418,
          8.11319351196289,
          6.7291460037231445,
          8.017719268798828,
          7.766997337341309
        ],
        "n": 8
      }
    },
    "idea": {
      "best_cfg": {
        "lr": 0.01,
        "alpha": 0.001
      },
      "full": {
        "mean": 25.259371757507324,
        "std": 2.262107567048632,
        "per_seed": [
          28.829193115234375,
          22.037382125854492,
          25.8345890045166,
          22.91337776184082,
          24.939950942993164,
          25.365234375,
          23.783573150634766,
          28.371673583984375
        ],
        "n": 8
      }
    },
    "comparison": {
      "delta_mean": 17.6159451007843,
      "p_value": 0.0081,
      "mde": 1.8454346082881534,
      "mde_rel_pct": 24.144074263667356,
      "verdict": "idea worse (significant)",
      "system_worked": false
    },
    "mechanism_signature": {
      "prediction": "batch Linear gradient equals mean of output-side delta outer input",
      "observed_relative_error": "NaN",
      "trained_model_test_mse": "NaN",
      "confirmed": false
    }
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_delta_bench.py",
  "files": [
    "stage2_delta_bench.py",
    "bench_report.json",
    "bench_run.log"
  ],
  "limitations": "Only the structurally matched tabular track and mlp_tiny architecture were tested. No vision, sequence, dynamics, AdamW, throughput, or FLOP comparison was run. The mechanism-signature probe failed numerically with NaN, so it provides no confirmation.",
  "system_verdict": "failed",
  "practical_verdict": "harms",
  "mechanism_ok": 0,
  "system_judged": true
}