{
  "version": 1,
  "captured": "2026-05-20",
  "captured_via": "bench/run.sh -n 5",
  "note": "Baseline for bench/check.py regression detection. The language-invariant thresholds (rc/bump <= 1.3x throughput, p99/median <= 5x latency) are NOT the regression-check tolerances; the per-metric tolerances below are tuned to absorb run-to-run noise on a quiet developer machine. To update after an intentional change, re-run bench/run.sh and replace the values, recording the reason in the commit body that ships the baseline bump. The latency arms gate only on median / p99 / p99_over_median \u2014 max_us and p99_9_us were removed on the 2026-05-20 recapture (Gitea #15 / #16) because tail-of-distribution latency metrics are dominated by OS-level jitter (THP defrag, scheduler preemption, IRQ load), not allocator behaviour, and produced 3+ consecutive false-positive REGRESSION rows on byte-identical no-op milestones. See docs/specs/0047-bench-harness-recalibration.md.",
  "throughput": {
    "bench_list_sum": {
      "bump_s": {
        "baseline": 0.053075,
        "tolerance_pct": 10
      },
      "rc_s": {
        "baseline": 0.144645,
        "tolerance_pct": 10
      },
      "rc_over_bump": {
        "baseline": 2.73,
        "tolerance_pct": 8
      },
      "bump_rss_kb": {
        "baseline": 97884.0,
        "tolerance_pct": 5
      },
      "rc_rss_kb": {
        "baseline": 193820.0,
        "tolerance_pct": 5
      }
    },
    "bench_tree_walk": {
      "bump_s": {
        "baseline": 0.039941,
        "tolerance_pct": 10
      },
      "rc_s": {
        "baseline": 0.099691,
        "tolerance_pct": 10
      },
      "rc_over_bump": {
        "baseline": 2.5,
        "tolerance_pct": 8
      },
      "bump_rss_kb": {
        "baseline": 55196.0,
        "tolerance_pct": 5
      },
      "rc_rss_kb": {
        "baseline": 108956.0,
        "tolerance_pct": 5
      }
    },
    "bench_closure_chain": {
      "bump_s": {
        "baseline": 0.008045,
        "tolerance_pct": 25
      },
      "rc_s": {
        "baseline": 0.032188,
        "tolerance_pct": 20
      },
      "rc_over_bump": {
        "baseline": 4.0,
        "tolerance_pct": 15
      },
      "bump_rss_kb": {
        "baseline": 16024.0,
        "tolerance_pct": 15
      },
      "rc_rss_kb": {
        "baseline": 39652.0,
        "tolerance_pct": 10
      }
    },
    "bench_hof_pipeline": {
      "bump_s": {
        "baseline": 0.051527,
        "tolerance_pct": 10
      },
      "rc_s": {
        "baseline": 0.143245,
        "tolerance_pct": 10
      },
      "rc_over_bump": {
        "baseline": 2.78,
        "tolerance_pct": 8
      },
      "bump_rss_kb": {
        "baseline": 97628.0,
        "tolerance_pct": 5
      },
      "rc_rss_kb": {
        "baseline": 193572.0,
        "tolerance_pct": 5
      }
    },
    "bench_compute_collatz": {
      "bump_s": {
        "baseline": 0.056148,
        "tolerance_pct": 12
      },
      "rc_s": {
        "baseline": 0.056289,
        "tolerance_pct": 12
      },
      "rc_over_bump": {
        "baseline": 1.0,
        "tolerance_pct": 10
      },
      "bump_rss_kb": {
        "baseline": 13840.0,
        "tolerance_pct": 15
      },
      "rc_rss_kb": {
        "baseline": 14000.0,
        "tolerance_pct": 15
      }
    },
    "bench_list_sum_explicit": {
      "bump_s": {
        "baseline": 0.052832,
        "tolerance_pct": 10
      },
      "rc_s": {
        "baseline": 0.158251,
        "tolerance_pct": 10
      },
      "rc_over_bump": {
        "baseline": 3.0,
        "tolerance_pct": 8
      },
      "bump_rss_kb": {
        "baseline": 97436.0,
        "tolerance_pct": 5
      },
      "rc_rss_kb": {
        "baseline": 141796.0,
        "tolerance_pct": 8
      }
    }
  },
  "latency": {
    "explicit_at_rc": {
      "median_us": {
        "baseline": 218.8,
        "tolerance_pct": 15
      },
      "p99_us": {
        "baseline": 259.9,
        "tolerance_pct": 25
      },
      "p99_over_median": {
        "baseline": 1.19,
        "tolerance_pct": 25
      }
    },
    "implicit_at_rc": {
      "median_us": {
        "baseline": 303.5,
        "tolerance_pct": 15
      },
      "p99_us": {
        "baseline": 469.0,
        "tolerance_pct": 20
      },
      "p99_over_median": {
        "baseline": 1.54,
        "tolerance_pct": 20
      }
    }
  }
}