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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "Built entropy-feedback zeroth-order cooling for the structurally matched tabular Friedman regression track with identical mlp_tiny architecture, population, perturbation scale, steps, data, and paired seeds. The mechanism signature was confirmed, with transition ESS 4.19 observed versus 4.0 predicted and cooling rates close to the predicted high- and low-entropy rates. Performance was significantly worse than fixed exponential cooling, so worked=false.",
  "metrics": {
    "baseline": "Fixed exponential cooling, best swept configuration lr=0.001: test MSE 210.284 +/- 5.265 over 8 seeds.",
    "idea": "Entropy feedback at lr=0.001: test MSE 210.905 +/- 5.310 over 8 seeds; paired delta +0.622, 0/8 wins, permutation p=0.0081; mechanism confirmed."
  },
  "bench_report": {
    "bench_version": 1,
    "track": "tabular",
    "model": "mlp_tiny",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.001
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.001
          },
          "mean": 211.45939254760742
        },
        {
          "cfg": {
            "lr": 0.003
          },
          "mean": 211.45939254760742
        },
        {
          "cfg": {
            "lr": 0.01
          },
          "mean": 211.45939254760742
        }
      ],
      "full": {
        "mean": 210.28362846374512,
        "std": 5.264942297259805,
        "per_seed": [
          216.2948760986328,
          210.3721466064453,
          217.16351318359375,
          202.0070343017578,
          208.42745971679688,
          212.19456481933594,
          202.8369903564453,
          212.97244262695312
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 210.9054012298584,
      "std": 5.309931146588209,
      "per_seed": [
        216.95388793945312,
        210.90757751464844,
        217.41943359375,
        202.13302612304688,
        210.2574005126953,
        212.32080078125,
        203.2976531982422,
        213.95343017578125
      ],
      "n": 8,
      "config": {
        "lr": 0.001
      }
    },
    "comparison": {
      "delta_mean": 0.6217727661132812,
      "idea_wins": 0,
      "n_pairs": 8,
      "per_seed_diffs": [
        0.6590118408203125,
        0.535430908203125,
        0.25592041015625,
        0.1259918212890625,
        1.8299407958984375,
        0.1262359619140625,
        0.460662841796875,
        0.980987548828125
      ],
      "p_value": 0.0081,
      "mde": 0.47391836886435124,
      "mde_rel_pct": 0.2253710249944918,
      "verdict": "idea worse (significant)",
      "system_worked": false
    },
    "mechanism_signature": {
      "predicted_transition_ess": 4.0,
      "observed_ess_at_closest_hc": 4.193504810333252,
      "predicted_high_entropy_rate": 0.05,
      "observed_high_entropy_rate": 0.049303146592420355,
      "predicted_low_entropy_rate": 0.001,
      "observed_low_entropy_rate": 0.0011907811681947413,
      "mean_entropy": 0.571972486252586,
      "confirmed": true
    },
    "idea_nearby_settings": {
      "0.001": [
        216.95388793945312,
        210.90757751464844,
        217.41943359375,
        202.13302612304688,
        210.2574005126953,
        212.32080078125,
        203.2976531982422,
        213.95343017578125
      ],
      "0.003": [
        216.95388793945312,
        210.90757751464844,
        217.41943359375,
        202.13302612304688,
        210.2574005126953,
        212.32080078125,
        203.2976531982422,
        213.95343017578125
      ],
      "0.01": [
        216.95388793945312,
        210.90757751464844,
        217.41943359375,
        202.13302612304688,
        210.2574005126953,
        212.32080078125,
        203.2976531982422,
        213.95343017578125
      ]
    },
    "protocol_notes": "Optimizer idea matched to the tabular Friedman regression optimizer track; both systems used identical mlp_tiny architecture, population, perturbation scale, steps, data, and paired seeds.",
    "custom_track": null
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 entropy_feedback_bench.py",
  "files": [
    "entropy_feedback_bench.py",
    "bench_report.json",
    "results.json",
    "verify_entropy_cooling.py",
    "report.md"
  ],
  "limitations": "Only the small tabular track was tested, with 400 training examples, N=16 candidates, and 12 zeroth-order steps. No vision, sequence, dynamics, wall-clock, or FLOP-normalized comparison was run. The baseline lr sweep was degenerate because lr is inert in the custom zeroth-order loop; this limitation is reflected in the report.",
  "system_verdict": "partial",
  "practical_verdict": "harms",
  "mechanism_ok": 1,
  "system_judged": true
}