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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "Built a local training-time NNGP covariance stabilizer for the benchmark's structurally matched sequence forecast task using the tiny Transformer and an added pooled hidden-state covariance penalty. Across eight paired seeds, the best idea setting had MSE 0.338577 versus the tuned baseline's 0.338322, with paired delta +0.000255 and permutation p=0.2419; this is no measurable effect and is slightly worse. The trained-model mechanism signature was not confirmed: covariance deviation was 0.10427585 for baseline versus 0.10427427 for the idea, ratio 0.999985.",
  "metrics": {
    "baseline": "8-seed tuned baseline mean test MSE 0.3383217715, std 0.0461405308; best lr=0.001. Sweep means: lr=0.001 -> 0.3383218, lr=0.003 -> 0.3591854, lr=0.009 -> 1.0258603.",
    "idea": "Best of 3 settings mean test MSE 0.3385768682, std 0.0462719048 at lr=0.001, lambda_cov=0.0001. Paired delta idea-baseline +0.0002550967, 3/8 idea wins, permutation p=0.2419. Mechanism covariance deviation: baseline 0.1042758487, idea 0.1042742701, ratio 0.9999849, confirmed=false."
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py",
  "files": [
    "stage2_bench.py",
    "bench_report.json"
  ],
  "limitations": "The advertised bench/README.md path was unavailable, although the injected bench package and APIs were importable. Only the structurally matched sequence track was tested; no vision, tabular, or dynamics transfer was run. The intervention regularized pooled input-projection states rather than token-level Transformer encoder states, and no width comparison, gradient-variance analysis, FLOP profiling, or broader lambda sweep was performed.",
  "bench_report": {
    "bench_version": 1,
    "track": "sequence",
    "model": "transformer_tiny",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.001
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.001
          },
          "mean": 0.3383217714726925
        },
        {
          "cfg": {
            "lr": 0.003
          },
          "mean": 0.3591853603720665
        },
        {
          "cfg": {
            "lr": 0.009
          },
          "mean": 1.0258603394031525
        }
      ],
      "full": {
        "mean": 0.3383217714726925,
        "std": 0.046140530839104237,
        "per_seed": [
          0.3308762013912201,
          0.28574880957603455,
          0.3010590970516205,
          0.3668035864830017,
          0.33377403020858765,
          0.28919702768325806,
          0.4317983090877533,
          0.3673171103000641
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 0.33857686817646027,
      "std": 0.04627190481655083,
      "per_seed": [
        0.3314558267593384,
        0.2857537865638733,
        0.30147865414619446,
        0.36729896068573,
        0.3336082696914673,
        0.28876644372940063,
        0.43178096413612366,
        0.36847203969955444
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": 0.0002550967037677765,
      "idea_wins": 3,
      "n_pairs": 8,
      "per_seed_diffs": [
        0.0005796253681182861,
        4.976987838745117e-06,
        0.0004195570945739746,
        0.0004953742027282715,
        -0.00016576051712036133,
        -0.0004305839538574219,
        -1.7344951629638672e-05,
        0.0011549293994903564
      ],
      "p_value": 0.2419,
      "mde": 0.00042210225891124443,
      "mde_rel_pct": 0.12476355189140237,
      "verdict": "no measurable effect",
      "system_worked": false
    },
    "idea_sweep": [
      {
        "cfg": {
          "lr": 0.001,
          "lambda_cov": 0.0001
        },
        "mean": 0.33857686817646027
      },
      {
        "cfg": {
          "lr": 0.001,
          "lambda_cov": 0.001
        },
        "mean": 0.33870137482881546
      },
      {
        "cfg": {
          "lr": 0.009,
          "lambda_cov": 0.01
        },
        "mean": 1.0103588178753853
      }
    ],
    "mechanism_signature": {
      "predicted_finite_width_scale_at_width_64": 0.125,
      "observed_baseline_mean": 0.10427584871649742,
      "observed_idea_mean": 0.10427427012473345,
      "observed_idea_over_baseline": 0.9999848613865684,
      "confirmed": false
    }
  },
  "system_verdict": "failed",
  "practical_verdict": "no_effect",
  "mechanism_ok": 0,
  "system_judged": true
}