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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "Implemented passivity and incremental-passivity penalties in the matched rnn_small dynamics model and ran the required paired-seed protocol. The measured signature confirmed slightly lower cumulative residual and perturbation amplification for the regularized models, but task MSE improved by only 0.000177 with 4/8 wins and permutation p=0.72575; therefore there is no significant benchmark win.",
  "metrics": {
    "baseline": "dynamics/rnn_small, tuned lr=0.01; full 8-seed mean MSE approximately 0.00241524",
    "idea": "passivity regularization, selected from shared lr/penalty/paired sweep; 8-seed mean MSE 0.00223852; paired delta -0.00017673; p=0.72575"
  },
  "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": 0.007516150246374309
        },
        {
          "cfg": {
            "lr": 0.003
          },
          "mean": 0.004790205741301179
        },
        {
          "cfg": {
            "lr": 0.01
          },
          "mean": 0.0030207290838006884
        }
      ],
      "full": {
        "mean": 0.002415244802850527,
        "std": 0.001490886153344203,
        "per_seed": [
          0.004476976580917835,
          0.0022566709731834224,
          0.0014001723617199926,
          0.003949096426367761,
          0.0025090086279485144,
          0.002013127086684108,
          0.001669552177190779,
          0.005148111879761341
        ],
        "n": 8
      },
      "selected_cfg": {
        "lr": 0.01
      }
    },
    "idea": {
      "mean": 0.002238515968201682,
      "std": 0.0010938186977071725,
      "per_seed": [
        0.0014792155707255006,
        0.0021166419610381126,
        0.001531714922748506,
        0.0042628017254173756,
        0.001253232709132135,
        0.0011274017160758376,
        0.0025555682368576527,
        0.0035815509036183357
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": -0.00017672883404884487,
      "idea_wins": 4,
      "n_pairs": 8,
      "per_seed_diffs": [
        -0.0029977610101923347,
        -0.00014002900570631027,
        0.00013154256157577038,
        0.00031370529904961586,
        -0.0012557759182527661,
        -0.0008857253706082702,
        0.000886016059666872,
        0.002534196712076664
      ],
      "p_value": 0.72575,
      "mde": 0.0013571432898663574,
      "mde_rel_pct": 56.19071361220901,
      "verdict": "no significant win",
      "system_worked": false
    },
    "selected_idea_cfg": {
      "lr": 0.01,
      "lam": 0.001,
      "paired": false
    },
    "mechanism_signature": {
      "baseline_cumulative_residual": -15.145476698875427,
      "idea_cumulative_residual": -15.241462588310242,
      "baseline_amplification": 0.1478598192334175,
      "idea_amplification": 0.14565712958574295,
      "predicted_direction": "passivity reduces residual and amplification",
      "confirmed": true
    }
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_passivity.py",
  "files": [
    "bench_passivity.py",
    "bench_report.json",
    "run.log"
  ],
  "limitations": "The benchmark used the fixed dynamics track with 400 training and 200 test examples and 12 epochs rather than the larger default dataset. The baseline sweep covered learning rate but not weight decay because the local training loop did not expose that knob; no long-horizon rollout extension, FLOP profiling, spectral-normalization baseline, or additional architectures were tested. The confirmed mechanism signature is modest and does not establish improved generalization.",
  "system_verdict": "partial",
  "practical_verdict": "inconclusive",
  "mechanism_ok": 1,
  "system_judged": true
}