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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 10,
  "verdict": "Built a local Gumbel escape-time controller as a delayed-gradient training intervention on the structurally matched dynamics track with rnn_small, using 8 paired seeds, a baseline learning-rate sweep, and a parity-compliant three-setting idea sweep. Tuned Adam achieved test MSE 0.0003815 versus 0.0009299 for the selected controller, with paired delta +0.0005484 and permutation p=0.0081; the idea was significantly worse. No trained-model escape events occurred, so beta·r could not be estimated and the mechanism signature was not confirmed.",
  "metrics": {
    "baseline": "dynamics/rnn_small tuned Adam, best lr=0.01; 8-seed mean test MSE=0.0003814903",
    "idea": "Gumbel delayed-gradient controller, selected lr=0.003 delay=1; 8-seed mean test MSE=0.0009298879; paired delta=+0.0005483976; permutation p=0.0081; 0 escape events"
  },
  "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": 0.0013811723329126835
        },
        {
          "cfg": {
            "lr": 0.003
          },
          "mean": 0.0009251563169527799
        },
        {
          "cfg": {
            "lr": 0.01
          },
          "mean": 0.00036846242801402695
        }
      ],
      "full": {
        "mean": 0.00038149026113387663,
        "std": 9.695924201469225e-05,
        "per_seed": [
          0.00029065465787425637,
          0.0005194233381189406,
          0.0002394697949057445,
          0.00042430192115716636,
          0.00026041336241178215,
          0.00043081643525511026,
          0.0004192772030364722,
          0.0004675653763115406
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 0.000929887879465241,
      "std": 0.00022563265805066197,
      "per_seed": [
        0.0007356178830377758,
        0.0008692095289006829,
        0.0007401101174764335,
        0.0013556877383962274,
        0.0007141538080759346,
        0.0007827341323718429,
        0.0010597598738968372,
        0.0011818299535661936
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": 0.0005483976183313644,
      "idea_wins": 0,
      "n_pairs": 8,
      "per_seed_diffs": [
        0.0004449632251635194,
        0.00034978619078174233,
        0.000500640322570689,
        0.000931385817239061,
        0.0004537404456641525,
        0.0003519176971167326,
        0.000640482670860365,
        0.000714264577254653
      ],
      "p_value": 0.0081,
      "mde": 0.00016802373854812774,
      "mde_rel_pct": 44.04404402060556,
      "verdict": "idea worse (significant)",
      "system_worked": false
    },
    "selected_idea_cfg": {
      "lr": 0.003,
      "delay": 1
    },
    "idea_sweep": [
      {
        "cfg": {
          "lr": 0.01,
          "delay": 2
        },
        "mean": 0.002265104980324395
      },
      {
        "cfg": {
          "lr": 0.003,
          "delay": 1
        },
        "mean": 0.000929887879465241
      },
      {
        "cfg": {
          "lr": 0.01,
          "delay": 4
        },
        "mean": 0.008774380781687796
      }
    ],
    "mechanism_signature": {
      "prediction": "beta*r approximately constant across delayed bursts",
      "observed_n": 0,
      "observed_beta_r": [],
      "mean_beta_r": null,
      "relative_spread": null,
      "trained_model_escape_events": 0,
      "confirmed": false
    }
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_gumbel_controller.py",
  "files": [
    "bench_gumbel_controller.py",
    "bench_report.json"
  ],
  "limitations": "Only the built-in dynamics track was tested; no custom delayed-gradient task, vision/tabular/sequence transfer, longer burst schedules, or alternate escape thresholds were evaluated. The controller's online monitor did not observe unstable escapes in this stable benchmark, so the Gumbel fit could not be tested at neural-network scale.",
  "system_verdict": "failed",
  "practical_verdict": "harms",
  "mechanism_ok": 0,
  "system_judged": true
}