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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "Implemented the mean-square stability penalty as a local modification of the matched dynamics/rnn_small training system, with equal learning-rate sweep parity and eight paired seeds. The trained-model mechanism signature was confirmed: predicted lifted growth 1.0243 versus observed hidden second-moment ratio 1.0002 (2.35% relative error), but the idea slightly worsened test MSE (0.0023943 vs 0.0022403) and was not significant (paired delta +0.0001540, permutation p=0.69925).",
  "metrics": {
    "baseline": "dynamics/rnn_small; best lr=0.01; full 8-seed test MSE mean=0.0022403220, std=0.0007111673",
    "idea": "mean-square penalty, best cfg lr=0.01 penalty=1.0; full 8-seed test MSE mean=0.0023943047, std=0.0006552643; paired delta=+0.0001539826; p=0.69925; mechanism predicted rho=1.0242608, observed ratio=1.0002414, relative error=2.35%, confirmed=true"
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py",
  "files": [
    "stage2_bench.py",
    "bench_report.json"
  ],
  "limitations": "Only the built-in dynamics track and 32-unit GRU recurrence were tested; the intervention used a spectral-norm proxy for the full GRU local Jacobian rather than an explicit dense Kronecker lift. The run used 12 epochs and 400 training/test examples per seed, did not test other tracks, structured multi-parameter uncertainty, quantization, longer rollouts, or broader model sizes.",
  "bench_report": {
    "bench_version": 1,
    "track": "dynamics",
    "model": "rnn_small",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.01,
        "penalty": 0.0
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.001,
            "penalty": 0.0
          },
          "mean": 0.11797566118184477
        },
        {
          "cfg": {
            "lr": 0.003,
            "penalty": 0.0
          },
          "mean": 0.007828571717254817
        },
        {
          "cfg": {
            "lr": 0.01,
            "penalty": 0.0
          },
          "mean": 0.0025760137650649995
        }
      ],
      "full": {
        "mean": 0.002240322035504505,
        "std": 0.0007111673246843795,
        "per_seed": [
          0.0027267802506685257,
          0.003143619978800416,
          0.0015068432549014688,
          0.0029268115758895874,
          0.0025003517512232065,
          0.001474660588428378,
          0.002521744929254055,
          0.0011217639548704028
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 0.0023943046835483983,
      "std": 0.0006552643263981685,
      "per_seed": [
        0.001565085374750197,
        0.001931023900397122,
        0.003373584244400263,
        0.002406168496236205,
        0.0027771489694714546,
        0.0014064890565350652,
        0.002705090679228306,
        0.002989846747368574
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": 0.00015398264804389328,
      "idea_wins": 4,
      "n_pairs": 8,
      "per_seed_diffs": [
        -0.0011616948759183288,
        -0.001212596078403294,
        0.001866740989498794,
        -0.0005206430796533823,
        0.0002767972182482481,
        -6.81715331893313e-05,
        0.0001833457499742508,
        0.0018680827924981713
      ],
      "p_value": 0.69925,
      "mde": 0.0009989272382128146,
      "mde_rel_pct": 44.58855568002585,
      "verdict": "no significant win",
      "system_worked": false
    },
    "mechanism_signature": {
      "noise_sigma": 0.2,
      "predicted_lifted_rho_mean": 1.024260826408863,
      "observed_hidden_second_moment_ratio_mean": 1.0002414467769276,
      "relative_error": 0.02345045227996197,
      "confirmed": true,
      "source": "trained idea GRU models on dynamics test rollout"
    }
  },
  "system_verdict": "partial",
  "practical_verdict": "inconclusive",
  "mechanism_ok": 1,
  "system_judged": true
}