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

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "The registered graph_context_budget benchmark completed with the canonical mlp_tiny training path, a tuned baseline learning-rate sweep, and eight paired seeds. The baseline and anchored idea both achieved error 0.0418749985, with paired delta 0 and permutation p=1.0; the retained-evidence signature was confirmed, but there was no standard task-metric win.",
  "metrics": {
    "baseline": "Best lr=0.003; 8-seed error mean 0.0418749985 ± 0.0060917456.",
    "idea": "Anchored mode lr=0.003; 8-seed error mean 0.0418749985.",
    "comparison": "delta_mean=0.0; idea_wins=0/8; p_value=1.0; verdict=no measurable effect."
  },
  "bench_report": {
    "bench_version": 1,
    "track": "graph_context_budget",
    "model": "mlp_tiny",
    "metric_direction": "lower is better",
    "n_seeds": 8,
    "baseline": {
      "best_cfg": {
        "lr": 0.003
      },
      "sweep": [
        {
          "cfg": {
            "lr": 0.001
          },
          "mean": 0.09124999865889549
        },
        {
          "cfg": {
            "lr": 0.003
          },
          "mean": 0.03874999890103936
        },
        {
          "cfg": {
            "lr": 0.01
          },
          "mean": 0.04374999878928065
        }
      ],
      "full": {
        "mean": 0.0418749984819442,
        "std": 0.006091745648538752,
        "per_seed": [
          0.03500000014901161,
          0.044999998062849045,
          0.044999998062849045,
          0.029999999329447746,
          0.044999998062849045,
          0.03999999910593033,
          0.044999998062849045,
          0.04999999701976776
        ],
        "n": 8
      }
    },
    "idea": {
      "per_seed": [
        0.03500000014901161,
        0.044999998062849045,
        0.044999998062849045,
        0.029999999329447746,
        0.044999998062849045,
        0.03999999910593033,
        0.044999998062849045,
        0.04999999701976776
      ],
      "mean": 0.0418749984819442,
      "lr": 0.003,
      "mode": "anchored",
      "signature_observed_input_abs_mean": 0.7980227172374725,
      "trained_model_accuracy": 0.9581250015180558
    },
    "comparison": {
      "delta_mean": 0.0,
      "idea_wins": 0,
      "n_pairs": 8,
      "per_seed_diffs": [
        0.0,
        0.0,
        0.0,
        0.0,
        0.0,
        0.0,
        0.0,
        0.0
      ],
      "p_value": 1.0,
      "mde": 0.0,
      "mde_rel_pct": 0.0,
      "verdict": "no measurable effect",
      "system_worked": false
    },
    "custom_track": {
      "name": "graph_context_budget",
      "file": "bench_graph_context.py",
      "domain": "retrieval"
    },
    "protocol_notes": "8 paired seeds; baseline and idea share task, MLP, epochs, batch, and lr union; lower err is better.",
    "mechanism_signature": {
      "predicted_D_over_B": 3.0,
      "observed_candidate_units": 24,
      "observed_budget_units": 8,
      "predicted_anchored_gold_recall": 1.0,
      "observed_anchored_gold_recall": 1.0,
      "observed_global_gold_recall": 0.3333333333333333,
      "trained_anchored_accuracy": 0.9581250015180558,
      "trained_baseline_accuracy": 0.0418749984819442,
      "repeated_context_identical": true,
      "confirmed": true
    }
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 /home/maxwelhelp/all/math2nn/bench/custom_tracks/graph_context_budget.py > registered_bench_stdout.json",
  "files": [
    "bench_report.json",
    "registered_bench_stdout.json",
    "graph_wedge_bench.py"
  ],
  "limitations": "This is a registered synthetic graph-context retrieval track, not a direct shortest-path wedge-partition graph-transformer benchmark. Real graph data, weighted Dijkstra, end-to-end differentiable routing, attention memory/runtime, k-means/top-score pooling, and larger graphs were not tested.",
  "system_verdict": "partial",
  "practical_verdict": "no_effect",
  "mechanism_ok": 1,
  "system_judged": true
}