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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "Implemented the delay-margin intervention as a recurrent Jacobian/contraction penalty on the built-in dynamics track using the shared rnn_small architecture. The idea reduced test MSE from 0.00139408 to 0.00105827 (paired delta -0.00033581, 6/8 wins), but p=0.156, so there is no significant win; the mechanism signature also was not confirmed because observed recurrent gain 1.3952 exceeded the predicted threshold 0.92.",
  "metrics": {
    "baseline": "Tuned lr=0.01; full 8-seed mean MSE 0.0013940800, std 0.0003941948; sweep means: lr=0.001 0.00410370, lr=0.003 0.00338617, lr=0.01 0.00142413.",
    "idea": "Best lr=0.01; 8-seed mean MSE 0.0010582677, std 0.0002596756; idea sweep means: lr=0.001 0.00518043, lr=0.003 0.00334678, lr=0.01 0.00105827."
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_delay_margin_bench.py",
  "files": [
    "stage2_delay_margin_bench.py",
    "bench_report.json"
  ],
  "limitations": "The intervention is a practical contraction surrogate based on the GRU recurrent-weight norm rather than the paper's full continuous-time free-weighting-matrix Xi SDP. The benchmark used 12 epochs and 400 training/400 test examples, not the larger default dataset or longer training. No spectral-normalization comparator was included because the mandated baseline was the standard unconstrained rnn_small training path.",
  "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": 0.004103701037820429
        },
        {
          "cfg": {
            "lr": 0.003
          },
          "mean": 0.0033861721749417484
        },
        {
          "cfg": {
            "lr": 0.01
          },
          "mean": 0.0014241317112464458
        }
      ],
      "full": {
        "mean": 0.001394080012687482,
        "std": 0.0003941947646392458,
        "per_seed": [
          0.0008339877240359783,
          0.0018332540057599545,
          0.001035665743984282,
          0.0019936193712055683,
          0.0009847625624388456,
          0.0013270708732306957,
          0.0016533465823158622,
          0.0014909332385286689
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 0.0010582677277852781,
      "std": 0.0002596756095846163,
      "per_seed": [
        0.0012610149569809437,
        0.0009445982286706567,
        0.0015231940196827054,
        0.0009703311952762306,
        0.0008438857039436698,
        0.0010748099302873015,
        0.0012235938338562846,
        0.0006247139535844326
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": -0.00033581228490220383,
      "idea_wins": 6,
      "n_pairs": 8,
      "per_seed_diffs": [
        0.00042702723294496536,
        -0.0008886557770892978,
        0.0004875282756984234,
        -0.0010232881759293377,
        -0.00014087685849517584,
        -0.0002522609429433942,
        -0.00042975274845957756,
        -0.0008662192849442363
      ],
      "p_value": 0.156,
      "mde": 0.0004868612450943267,
      "mde_rel_pct": 34.92347933141689,
      "verdict": "no significant win",
      "system_worked": false
    },
    "mechanism_signature": {
      "predicted_contraction_threshold": 0.92,
      "observed_recurrent_gain": 1.395196795463562,
      "delay_steps": 8,
      "confirmed": false
    },
    "idea_sweep": [
      {
        "cfg": {
          "lr": 0.001
        },
        "mean": 0.005180429492611438,
        "per_seed": [
          0.007169716525822878,
          0.0020599926356226206,
          0.0034104129299521446,
          0.002748786238953471,
          0.004880235064774752,
          0.006964521948248148,
          0.0038596075028181076,
          0.010350163094699383
        ]
      },
      {
        "cfg": {
          "lr": 0.003
        },
        "mean": 0.0033467773610027507,
        "per_seed": [
          0.0029792480636388063,
          0.003639823757112026,
          0.002777180867269635,
          0.006114652380347252,
          0.0033556141424924135,
          0.0032667238265275955,
          0.0028689366299659014,
          0.0017720392206683755
        ]
      },
      {
        "cfg": {
          "lr": 0.01
        },
        "mean": 0.0010582677277852781,
        "per_seed": [
          0.0012610149569809437,
          0.0009445982286706567,
          0.0015231940196827054,
          0.0009703311952762306,
          0.0008438857039436698,
          0.0010748099302873015,
          0.0012235938338562846,
          0.0006247139535844326
        ]
      }
    ],
    "protocol_notes": {
      "task_match": "stability/control dynamics",
      "epochs": 12,
      "n_train": 400,
      "n_test": 400,
      "baseline_and_idea_lr_union": [
        0.001,
        0.003,
        0.01
      ],
      "intervention": "Jacobian contraction penalty; same rnn_small architecture and optimizer"
    }
  },
  "system_verdict": "failed",
  "practical_verdict": "inconclusive",
  "mechanism_ok": 0,
  "system_judged": true
}