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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "Built the Residual-to-State Update Throttle as a local optimizer intervention on the structurally matched actuated-pendulum dynamics track, using the shared rnn_small architecture and paired 8-seed evaluation. The scalar math check passed: ordinary eta=3 scalar GD grew to 2^60 while the throttled state remained bounded, with transition relative error about 0.1%. On the real neural benchmark, the idea had slightly lower MSE but no significant win (paired delta -1.08949e-05, permutation p=0.58435), and the trained-model behavioral signature was not confirmed because delta was usually far below kappa.",
  "metrics": {
    "baseline": "Adam rnn_small dynamics, lr=0.01 selected by sweep: mean test MSE 0.0004087210, std 0.0000730923, per-seed [0.00035143, 0.00042901, 0.00044985, 0.00050326, 0.00025691, 0.00039922, 0.00039931, 0.00048078]",
    "idea": "Residual-throttled Adam rnn_small, lr=0.01 and kappa=0.5: mean test MSE 0.0003978261, std 0.0001023163, per-seed [0.00029170, 0.00055108, 0.00044954, 0.00048635, 0.00025691, 0.00028041, 0.00039917, 0.00046745]; paired delta=-0.0000108949, 6/8 wins, p=0.58435; verdict=no significant win",
    "math_check": "Predicted throttle transition 0.926013 versus observed 0.926939, relative error 0.001; plain scalar final absolute state 1.1529e18 versus throttled 0.4000006",
    "mechanism_signature": "Held-out trained-model probe: residual_norm=0.0976714, sqrt_q=14.04515, delta=0.0069541, gain=1.0, kappa=0.5; observed throttled fraction=0.02381; confirmed=false"
  },
  "bench_report": {
    "bench_version": 1,
    "track": "dynamics",
    "model": "rnn_small",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.01,
        "weight_decay": 0.0
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.001,
            "weight_decay": 0.0
          },
          "mean": 0.0016094102757051587
        },
        {
          "cfg": {
            "lr": 0.003,
            "weight_decay": 0.0
          },
          "mean": 0.0009143295173998922
        },
        {
          "cfg": {
            "lr": 0.01,
            "weight_decay": 0.0
          },
          "mean": 0.0004333868491812609
        }
      ],
      "full": {
        "mean": 0.00040872101453715004,
        "std": 7.309234212470366e-05,
        "per_seed": [
          0.0003514306154102087,
          0.00042900562402792275,
          0.0004498512134887278,
          0.0005032599437981844,
          0.00025691225891932845,
          0.0003992249839939177,
          0.00039930528146214783,
          0.0004807781951967627
        ],
        "n": 8
      },
      "grid_union": [
        {
          "lr": 0.001,
          "weight_decay": 0.0
        },
        {
          "lr": 0.003,
          "weight_decay": 0.0
        },
        {
          "lr": 0.01,
          "weight_decay": 0.0
        }
      ]
    },
    "idea": {
      "mean": 0.000397826104745036,
      "std": 0.00010231631988854813,
      "per_seed": [
        0.0002917043457273394,
        0.0005510751507245004,
        0.00044953575707040727,
        0.00048635262646712363,
        0.00025691225891932845,
        0.0002804143587127328,
        0.00039916730020195246,
        0.0004674470401369035
      ],
      "n": 8,
      "sweep_grid": [
        {
          "lr": 0.001,
          "weight_decay": 0.0,
          "kappa": 0.5
        },
        {
          "lr": 0.003,
          "weight_decay": 0.0,
          "kappa": 0.5
        },
        {
          "lr": 0.01,
          "weight_decay": 0.0,
          "kappa": 0.5
        }
      ]
    },
    "comparison": {
      "delta_mean": -1.089490979211405e-05,
      "idea_wins": 6,
      "n_pairs": 8,
      "per_seed_diffs": [
        -5.9726269682869315e-05,
        0.00012206952669657767,
        -3.154564183205366e-07,
        -1.6907317331060767e-05,
        0.0,
        -0.00011881062528118491,
        -1.379812601953745e-07,
        -1.3331155059859157e-05
      ],
      "p_value": 0.58435,
      "mde": 5.6621048472105967e-05,
      "mde_rel_pct": 13.853226640725977,
      "verdict": "no significant win",
      "system_worked": false
    },
    "mechanism_signature": {
      "track_match": "stability/control -> actuated pendulum dynamics",
      "idea_cfg": {
        "lr": 0.01,
        "weight_decay": 0.0,
        "kappa": 0.5
      },
      "residual_norm": 0.09767141938209534,
      "sqrt_q": 14.045147895812988,
      "delta": 0.006954104173928499,
      "gain": 1.0,
      "prediction": "delta>kappa implies a=kappa/(delta+eps) and normalized residual forcing is capped",
      "observed_throttled_fraction": 0.023809523809523808,
      "confirmed": false
    }
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_runner.py",
  "files": [
    "bench_runner.py",
    "bench_report.json"
  ],
  "limitations": "Only the built-in dynamics track was tested; no tabular, vision, sequence, custom-track, Hutchinson probe-count ablation, alternative preconditioner, Adam hyperparameter sweep beyond learning rate and weight decay=0, or longer/higher-learning-rate stability stress test was run.",
  "system_verdict": "failed",
  "practical_verdict": "inconclusive",
  "mechanism_ok": 0,
  "system_judged": true
}