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

(универсальный)

Ответ агента:

{
  "worked": true,
  "confidence": 7,
  "verdict": "Implemented and ran Recursive Nonlocal Edge Feedback on the structurally matched dynamics track. It beat the baseline on all 8 paired seeds with delta_mean=-0.000247133 and permutation p=0.0081, so the benchmark verdict is idea better (significant). The trained-model mechanism signature observed nonlocal sensitivity and an input Jacobian norm below one, although the idea used substantially more parameters.",
  "metrics": {
    "baseline": "rnn_small dynamics model; mean test MSE 0.000473542; 13,313 parameters.",
    "idea": "Recursive feedback dynamics model; mean test MSE 0.000226409; delta_mean -0.000247133; 8/8 wins; permutation p=0.0081; 45,857 parameters.",
    "mechanism_signature": {
      "nonlocal_input_grad_norm": 0.26336461305618286,
      "final_token_grad_norm": 0.570110559463501,
      "input_jacobian_norm": 0.628002405166626,
      "confirmed": true
    }
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_experiment.py",
  "files": [
    "bench_experiment.py",
    "bench_report.json",
    "bench_run.log"
  ],
  "limitations": "The mandated README.md was absent despite the benchmark package being importable. The idea was not parameter-matched to the baseline, and no FLOP- or wall-clock-normalized comparison was run. The baseline and idea used the same tried learning-rate and weight-decay union, but the local sweep implementation did not call sweep_baseline directly. Only the built-in dynamics track was tested.",
  "bench_report": {
    "bench_version": 1,
    "track": "dynamics",
    "model": "rnn_small",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "comparison": {
      "delta_mean": -0.00024713292623346206,
      "idea_wins": 8,
      "n_pairs": 8,
      "per_seed_diffs": [
        -0.0003066464851144701,
        -0.00020161602878943086,
        -9.64291684795171e-05,
        -0.00039817066863179207,
        -0.00020137627143412828,
        -0.0004075157194165513,
        -0.00023755492293275893,
        -0.0001277541450690478
      ],
      "p_value": 0.0081,
      "verdict": "idea better (significant)",
      "system_worked": true
    },
    "baseline": {
      "mean": 0.00047354179696412757,
      "best_config": {
        "lr": 0.003,
        "weight_decay": 0.0
      }
    },
    "idea": {
      "mean": 0.0002264088707306655,
      "best_config": {
        "lr": 0.006,
        "weight_decay": 0.0
      }
    },
    "mechanism_signature": {
      "task": "trained dynamics test input sensitivity",
      "predicted": "recursive feedback should give measurable sensitivity to non-adjacent tokens and bounded local sensitivity",
      "observed": {
        "nonlocal_input_grad_norm": 0.26336461305618286,
        "final_token_grad_norm": 0.570110559463501,
        "input_jacobian_norm": 0.628002405166626
      },
      "confirmed": true
    }
  },
  "system_verdict": "worked",
  "practical_verdict": "helps",
  "mechanism_ok": 1,
  "system_judged": true
}