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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 10,
  "verdict": "Implemented the Flow-Efficiency Drift Scheduler on the structurally matched dynamics track with identical rnn_small systems and an equal 40-step budget. ESS math sanity checks passed, but the adaptive FIFO/replay controller was significantly worse than the tuned baseline: paired delta +0.00455143 MSE with permutation p=0.0081. The behavior-derived signature did not confirm the predicted low-ESS regime because mean ESS was 0.7777 and no levels crossed the low-ESS threshold.",
  "metrics": {
    "baseline": "Best lr=0.006, epochs=10; 8-seed mean test MSE=0.0034221157, std=0.0013572790",
    "idea": "Best lr=0.006, epochs=10; 8-seed mean test MSE=0.0079735451, std=0.0027093770; total_steps=40",
    "comparison": "delta_mean=+0.0045514294 (idea-baseline; lower is better), idea_wins=0/8, p_value=0.0081, verdict=idea worse (significant)",
    "math_check": "ESS in range=true; ESS shift-invariance absolute error=1.11e-16",
    "mechanism_signature": "mean_eta=0.7777271, min_eta=0.6528541, mean_drift=0.3253299, low_eta_levels=0, confirmed=false"
  },
  "bench_report": {
    "bench_version": 1,
    "track": "dynamics",
    "model": "rnn_small",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.006,
        "epochs": 10
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.0015,
            "epochs": 10
          },
          "mean": 0.012571729
        },
        {
          "cfg": {
            "lr": 0.003,
            "epochs": 10
          },
          "mean": 0.0039004571
        },
        {
          "cfg": {
            "lr": 0.006,
            "epochs": 10
          },
          "mean": 0.0027824682
        }
      ],
      "full": {
        "mean": 0.0034221157,
        "std": 0.001357279,
        "per_seed": [
          0.0037937269,
          0.001276925,
          0.0043086507,
          0.0017505701,
          0.0051162187,
          0.0051568099,
          0.0032697872,
          0.0027042369
        ],
        "n": 8
      }
    },
    "idea": {
      "mean": 0.0079735451,
      "std": 0.002709377,
      "per_seed": [
        0.0038756647,
        0.0108861774,
        0.0049169338,
        0.0071676099,
        0.0099999066,
        0.0116768656,
        0.0092763966,
        0.005988806
      ],
      "n": 8
    },
    "comparison": {
      "delta_mean": 0.0045514294,
      "idea_wins": 0,
      "n_pairs": 8,
      "per_seed_diffs": [
        8.19378e-05,
        0.0096092524,
        0.0006082831,
        0.0054170397,
        0.0048836879,
        0.0065200557,
        0.0060066094,
        0.0032845691
      ],
      "p_value": 0.0081,
      "verdict": "idea worse (significant)",
      "system_worked": false
    },
    "mechanism_signature": {
      "mean_eta": 0.7777270546,
      "min_eta": 0.6528541116,
      "mean_drift": 0.3253299367,
      "low_eta_levels": 0,
      "initial_K": 4,
      "final_K": 1,
      "total_steps": 40,
      "predicted_low_eta_under_drift": true,
      "observed_low_eta_fraction": 0.0,
      "confirmed": false
    },
    "math_check": {
      "ess_in_range": true,
      "ess_shift_error": 1.1102230246251565e-16
    },
    "idea_sweep": [
      {
        "cfg": {
          "lr": 0.0015,
          "epochs": 10
        },
        "mean": 0.1483852146
      },
      {
        "cfg": {
          "lr": 0.003,
          "epochs": 10
        },
        "mean": 0.040628346
      },
      {
        "cfg": {
          "lr": 0.006,
          "epochs": 10
        },
        "mean": 0.0283423866
      }
    ]
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_flow_scheduler.py",
  "files": [
    "bench_flow_scheduler.py",
    "bench_report.json",
    "bench_run.log",
    "bench_run2.log"
  ],
  "limitations": "Tested only the built-in dynamics track with 400 training and 160 test examples, rnn_small, three shared lr settings, and 8 paired seeds. The benchmark diagnostic is an observable supervised residual/prediction proxy rather than true flow density ESS or local MCMC; no vision, sequence, or larger-scale neural sampling experiments were run.",
  "system_verdict": "failed",
  "practical_verdict": "harms",
  "mechanism_ok": 0,
  "system_judged": true
}