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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 10,
  "verdict": "The phase-cyclic learning-rate and momentum optimizer was implemented and evaluated against standard Adam on the structurally matched registered dynamics track with rnn_small. The idea was significantly worse: paired delta_mean was positive (+0.0002245077) with permutation p=0.0081, and the NN-scale mechanism signature was not confirmed because the predicted multiplier 0.19839 differed substantially from the observed 0.99987.",
  "metrics": {
    "baseline": "Best tuned Adam configuration lr=0.0045; full 8-seed mean test MSE 0.0004823377, std 0.0001903000.",
    "idea": "Best cyclic configuration lr=0.003, amplitude=0.15; full 8-seed mean test MSE 0.0007068453, std 0.0001652309. Per-seed values: [0.0007048309, 0.0005210392, 0.0009257350, 0.0009892641, 0.0005646042, 0.0005265368, 0.0006700, 0.0007527530]."
  },
  "bench_report": {
    "bench_version": 1,
    "track": "dynamics",
    "model": "rnn_small",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.0045,
        "amp": 0.15
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.0015,
            "amp": 0.15
          },
          "mean": 0.0011289938556728885
        },
        {
          "cfg": {
            "lr": 0.0015,
            "amp": 0.3
          },
          "mean": 0.0011289938556728885
        },
        {
          "cfg": {
            "lr": 0.0015,
            "amp": 0.45
          },
          "mean": 0.0011289938556728885
        },
        {
          "cfg": {
            "lr": 0.003,
            "amp": 0.15
          },
          "mean": 0.0007190718897618353
        },
        {
          "cfg": {
            "lr": 0.003,
            "amp": 0.3
          },
          "mean": 0.0007190718897618353
        },
        {
          "cfg": {
            "lr": 0.003,
            "amp": 0.45
          },
          "mean": 0.0007190718897618353
        },
        {
          "cfg": {
            "lr": 0.0045,
            "amp": 0.15
          },
          "mean": 0.0008870232413824796
        },
        {
          "cfg": {
            "lr": 0.0045,
            "amp": 0.3
          },
          "mean": 0.0008870232413824796
        },
        {
          "cfg": {
            "lr": 0.0045,
            "amp": 0.45
          },
          "mean": 0.0008870232413824796
        }
      ],
      "full": {
        "mean": 0.0004823376857530093,
        "std": 0.00019029999594897276,
        "per_seed": [
          0.0004577531653922051,
          0.00043891146196983755,
          0.0004620451363734901,
          0.0009183187503367662,
          0.000296697486191988,
          0.0002411661989754066,
          0.000499835005030036,
          0.0005439742817543447
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 0.0007068453487590887,
      "std": 0.00016523085279349575,
      "per_seed": [
        0.0007048308616504073,
        0.0005210391827858984,
        0.000925735046621412,
        0.0009892641101032495,
        0.0005646041827276349,
        0.0005265368381515145,
        0.0006699995719827712,
        0.0007527529960498214
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": 0.00022450766300607938,
      "idea_wins": 0,
      "n_pairs": 8,
      "per_seed_diffs": [
        0.0002470776962582022,
        8.21277208160609e-05,
        0.00046368991024792194,
        7.094535976648331e-05,
        0.0002679066965356469,
        0.00028537063917610794,
        0.00017016456695273519,
        0.00020877871429547668
      ],
      "p_value": 0.0081,
      "mde": 0.00010498848390242133,
      "mde_rel_pct": 21.76659361345918,
      "verdict": "idea worse (significant)",
      "system_worked": false
    },
    "mechanism_signature": {
      "period": 8,
      "predicted_transverse_multiplier": 0.19839029955701754,
      "observed_trained_model_multiplier": 0.9998654896163849,
      "ratio_observed_to_predicted": 5.039891022136507,
      "confirmed": false,
      "seed": 0,
      "probe": "full_batch_gradient_on_trained_rnn"
    }
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_cyclic_dynamics.py",
  "files": [
    "bench_cyclic_dynamics.py",
    "bench_report.json",
    "bench_run_rerun.log"
  ],
  "limitations": "Only the registered dynamics track was tested, using 400 training and 100 test examples, rnn_small, 18 epochs, batch size 64, period 8, and three learning rates crossed with three forcing amplitudes. No vision, tabular, sequence, FLOP/speed, larger models, longer periods, alternative schedules, or broader optimizer families were tested.",
  "system_verdict": "failed",
  "practical_verdict": "harms",
  "mechanism_ok": 0,
  "system_judged": true
}