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  "baseline_rule": "median of first 30 points, frozen",
  "n_points": 90,
  "n_streams": 200,
  "page_budget": {
   "coverage_delta_per_stream": 0.01,
   "coverage_expected_streams_bound": 2.0,
   "e_detector_expected_events": 9.0
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  "seed_base": 10000,
  "study": "healthy_fleet",
  "textures": [
   {
    "desc": "AR(1) wander (ρ = 0.9, σ ≈ 6) plus iid Gaussian noise — gently non-iid",
    "label": "Gaussian wander",
    "page_tier_streams_with_pages": 9,
    "per_detector": {
     "coverage-e-process": {
      "streams_with_events": 1,
      "total_events": 1
     },
     "cusum": {
      "streams_with_events": 190,
      "total_events": 1101
     },
     "e-detector": {
      "streams_with_events": 9,
      "total_events": 11
     },
     "ewma": {
      "streams_with_events": 192,
      "total_events": 442
     },
     "rolling-band": {
      "streams_with_events": 112,
      "total_events": 149
     },
     "static-threshold": {
      "streams_with_events": 129,
      "total_events": 417
     }
    },
    "texture": "gauss-wander"
   },
   {
    "desc": "AR(1) wander (ρ = 0.9) plus t(3) spikes — realistic latency-like texture",
    "label": "wander + heavy-tail spikes",
    "page_tier_streams_with_pages": 1,
    "per_detector": {
     "coverage-e-process": {
      "streams_with_events": 0,
      "total_events": 0
     },
     "cusum": {
      "streams_with_events": 177,
      "total_events": 756
     },
     "e-detector": {
      "streams_with_events": 1,
      "total_events": 2
     },
     "ewma": {
      "streams_with_events": 180,
      "total_events": 465
     },
     "rolling-band": {
      "streams_with_events": 167,
      "total_events": 248
     },
     "static-threshold": {
      "streams_with_events": 144,
      "total_events": 396
     }
    },
    "texture": "wander-spikes"
   },
   {
    "desc": "slow AR(1) wander (ρ = 0.97) with long excursions plus t(3) spikes",
    "label": "smooth near-pink",
    "page_tier_streams_with_pages": 17,
    "per_detector": {
     "coverage-e-process": {
      "streams_with_events": 2,
      "total_events": 2
     },
     "cusum": {
      "streams_with_events": 188,
      "total_events": 1221
     },
     "e-detector": {
      "streams_with_events": 17,
      "total_events": 19
     },
     "ewma": {
      "streams_with_events": 188,
      "total_events": 461
     },
     "rolling-band": {
      "streams_with_events": 168,
      "total_events": 274
     },
     "static-threshold": {
      "streams_with_events": 158,
      "total_events": 532
     }
    },
    "texture": "smooth-drifty"
   }
  ],
  "total_points_per_texture": 18000
 },
 "index": {
  "baseline_rule": "median of first 30 points, frozen",
  "data_note": "All series are synthetic and labeled as such; every number is computed by replaying them through the production engine and the product's warning-tier control charts at their shipped defaults.",
  "detectors": [
   {
    "guarantee_tag": "average_run_length_e_detector",
    "id": "e-detector",
    "label": "e-detector (Shiryaev–Roberts, ARL 2000)",
    "params": "SR e-detector on conformal misses, ARL target 2000, null mean 0.1",
    "tier": "page"
   },
   {
    "guarantee_tag": "anytime_valid_under_conditional_mean_null",
    "id": "coverage-e-process",
    "label": "coverage e-process (δ = 0.01)",
    "params": "anytime-valid coverage e-process, miss target 0.1, false-alarm budget δ = 0.01 per stream",
    "tier": "page"
   },
   {
    "guarantee_tag": "heuristic_adaptive",
    "id": "cusum",
    "label": "CUSUM (k = 0.5, ARL 2000)",
    "params": "two-sided CUSUM on standardized residuals, k = 0.5, h solved for iid-Gaussian ARL 2000, train 30",
    "tier": "warn"
   },
   {
    "guarantee_tag": "heuristic_adaptive",
    "id": "ewma",
    "label": "EWMA chart (λ = 0.2, 3σ)",
    "params": "EWMA λ = 0.2 with exact time-varying 3σ limits, train 30",
    "tier": "warn"
   },
   {
    "guarantee_tag": "heuristic_adaptive",
    "id": "static-threshold",
    "label": "Static threshold (mean ± 3σ)",
    "params": "mean ± 3σ frozen from the first 30 points, upcrossing events",
    "tier": "warn"
   },
   {
    "guarantee_tag": "heuristic_adaptive",
    "id": "rolling-band",
    "label": "Rolling band (trailing-30, ± 3σ)",
    "params": "trailing-30 mean ± 3σ re-fit every point, upcrossing events",
    "tier": "warn"
   }
  ],
  "engine_config": {
   "calibrator": [
    "split_window",
    {
     "alpha": 0.1,
     "capacity": 64
    }
   ],
   "monitors": [
    [
     "e_detector",
     {
      "arl_target": 2000.0,
      "input_field": "miss",
      "null_mean": 0.1
     }
    ],
    [
     "coverage_e_process",
     {
      "alpha": 0.1,
      "delta": 0.01
     }
    ],
    [
     "cusum",
     {
      "arl_target": 2000.0,
      "k": 0.5,
      "train": 30,
      "two_sided": true
     }
    ],
    [
     "ewma_chart",
     {
      "L": 3.0,
      "lam": 0.2,
      "side": "both",
      "train": 30
     }
    ],
    [
     "static_threshold",
     {
      "k": 3.0,
      "side": "both",
      "train": 30
     }
    ],
    [
     "rolling_band",
     {
      "k": 3.0,
      "side": "both",
      "window": 30
     }
    ]
   ],
   "predictor": "record",
   "score": "absolute",
   "sets": "interval"
  },
  "generated_at": "2026-07-04",
  "regen_command": "cd backend && uv run python scripts/bench/run_bench.py",
  "schema_version": 1,
  "studies": [
   "break_matrix.json",
   "calibration.json",
   "evidence_curve.json",
   "healthy_fleet.json",
   "leaderboard.json"
  ]
 },
 "leaderboard": {
  "healthy_points": 18000,
  "healthy_streams": 200,
  "rows": [
   {
    "catch": 127,
    "catch_of": 240,
    "guarantee_tag": "average_run_length_e_detector",
    "healthy_false_events": 2,
    "healthy_streams_hit": 1,
    "id": "e-detector",
    "label": "e-detector (Shiryaev–Roberts, ARL 2000)",
    "median_lag_overall": 22.0,
    "params": "SR e-detector on conformal misses, ARL target 2000, null mean 0.1",
    "step_catch": 24,
    "step_catch_of": 80,
    "tier": "page"
   },
   {
    "catch": 33,
    "catch_of": 240,
    "guarantee_tag": "anytime_valid_under_conditional_mean_null",
    "healthy_false_events": 0,
    "healthy_streams_hit": 0,
    "id": "coverage-e-process",
    "label": "coverage e-process (δ = 0.01)",
    "median_lag_overall": 26.75,
    "params": "anytime-valid coverage e-process, miss target 0.1, false-alarm budget δ = 0.01 per stream",
    "step_catch": 2,
    "step_catch_of": 80,
    "tier": "page"
   },
   {
    "catch": 239,
    "catch_of": 240,
    "guarantee_tag": "heuristic_adaptive",
    "healthy_false_events": 756,
    "healthy_streams_hit": 177,
    "id": "cusum",
    "label": "CUSUM (k = 0.5, ARL 2000)",
    "median_lag_overall": 5.75,
    "params": "two-sided CUSUM on standardized residuals, k = 0.5, h solved for iid-Gaussian ARL 2000, train 30",
    "step_catch": 80,
    "step_catch_of": 80,
    "tier": "warn"
   },
   {
    "catch": 208,
    "catch_of": 240,
    "guarantee_tag": "heuristic_adaptive",
    "healthy_false_events": 465,
    "healthy_streams_hit": 180,
    "id": "ewma",
    "label": "EWMA chart (λ = 0.2, 3σ)",
    "median_lag_overall": 8.0,
    "params": "EWMA λ = 0.2 with exact time-varying 3σ limits, train 30",
    "step_catch": 70,
    "step_catch_of": 80,
    "tier": "warn"
   },
   {
    "catch": 224,
    "catch_of": 240,
    "guarantee_tag": "heuristic_adaptive",
    "healthy_false_events": 396,
    "healthy_streams_hit": 144,
    "id": "static-threshold",
    "label": "Static threshold (mean ± 3σ)",
    "median_lag_overall": 8.0,
    "params": "mean ± 3σ frozen from the first 30 points, upcrossing events",
    "step_catch": 74,
    "step_catch_of": 80,
    "tier": "warn"
   },
   {
    "catch": 174,
    "catch_of": 240,
    "guarantee_tag": "heuristic_adaptive",
    "healthy_false_events": 248,
    "healthy_streams_hit": 167,
    "id": "rolling-band",
    "label": "Rolling band (trailing-30, ± 3σ)",
    "median_lag_overall": 7.5,
    "params": "trailing-30 mean ± 3σ re-fit every point, upcrossing events",
    "step_catch": 49,
    "step_catch_of": 80,
    "tier": "warn"
   }
  ],
  "study": "leaderboard",
  "suite": {
   "catch": 239,
   "catch_of": 240,
   "healthy_false_pages": 2,
   "note": "suite = budgeted page tier OR the CUSUM warning tier; only the page tier carries the false-alarm budget"
  },
  "texture": "wander-spikes"
 }
}
