passages: exact density-aware outer bound skips passage work beyond its reach (L81, v214)

The carve is max(source, -roughSDF/Q), so its reach grows with -source; the outer test uses
-d*Q + 0.24 m (wall relief 0.21 + margin) beyond the route radius, disabled in mouth-support
and column-overlap tiles. Skips 16% of passage iterations on the highest-activity tiles and
all of them on ordinary tiles. 84 candidate/full pairs identical in every hash; 0 changed samples.
Evaluator 214 for cache invalidation only. Cold LOD0-2 (L80 protocol): SW 1.30->1.25,
FI 3.59->2.93, TN 3.18->3.51 (noise?), VS 1.33->1.22 s. Fast tier PASS.

Note: the export's legacy 26-point root route owner_world.passages[0] fails a full-view
pre-audit (65 solid samples, unchanged since L70); the canonical 211-point route used by the
plan passes. Stale data to clean up.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1

Standalone/Research/WorldAssemblerM3/Linux81/RunL81Readiness.py

@@ -0,0 +1,102 @@
+#!/usr/bin/env python3
+"""L80-protocol cold readiness comparison for the exact passage cut."""
+from __future__ import annotations
+
+import json
+import re
+import statistics
+import subprocess
+import time
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parents[4]
+OUT = ROOT / "Saved/Linux/l81/readiness"
+DATA = ROOT / "Standalone/data/owner_world.json"
+BINARY = ROOT / "Saved/Linux/l81/bin/VoxelForgeCoreHeadless-l81-clang"
+CAMERAS = {
+    0: (8.0, 16.0, -372.2626953125),
+    1: (25.8369140625, 3.19921875, -737.0),
+    2: (19.166015625, -14.2001953125, -753.3740234375),
+    3: (-20.0625, -5.068359375, -900.353515625),
+}
+MODES = (("full", "inf"), ("exact", "0"))
+PIPELINE = re.compile(r"^\[StreamPipeline\] (.*)$", re.M)
+FIELDS = re.compile(r"([a-zA-Z0-9_]+)=([^ ]+)")
+NEAR = re.compile(r"^\[WorldAssemblerNearLODReady\] lods=0-2 tiles=(\d+)/(\d+) "
+                  r"cold_ready_s=([0-9.]+)$", re.M)
+
+
+def run(strate: int, mode: str, padding: str, phase: str, rep: int) -> dict:
+    OUT.mkdir(parents=True, exist_ok=True)
+    label = f"s{strate}-{mode}-{phase}{rep}"
+    log = OUT / f"{label}.log"
+    camera = ",".join(f"{value:.12f}" for value in CAMERAS[strate]) + ",0,0"
+    command = [
+        "taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--",
+        "env", f"VOXELFORGE_L81_PASSAGE_BOUND_PADDING_VOXELS={padding}", "timeout", "1740s",
+        str(BINARY), str(DATA), "--world-assembler-prototype", "--stream-benchmark",
+        "--stream-pipeline", "--workers=8", "--clip-radius=3", "--max-clip-level=8",
+        "--max-level=8", f"--camera={camera}", "--profile-lod-work",
+        "--stream-scheduler-policy=3",
+    ]
+    start = time.monotonic()
+    try:
+        with log.open("w", encoding="utf-8") as stream:
+            proc = subprocess.run(command, cwd=ROOT, stdout=stream,
+                                  stderr=subprocess.STDOUT, check=False, timeout=1740)
+    except subprocess.TimeoutExpired as exc:
+        raise RuntimeError(f"readiness run exceeded 1,740 seconds: {log}") from exc
+    content = log.read_text(encoding="utf-8", errors="replace")
+    pipeline_match = PIPELINE.search(content)
+    near_match = NEAR.search(content)
+    if proc.returncode or not pipeline_match or not near_match:
+        raise RuntimeError(f"readiness run failed exit={proc.returncode}: {log}")
+    pipeline = dict(FIELDS.findall(pipeline_match.group(1)))
+    row = {
+        "strate": strate, "mode": mode, "padding_voxels": padding,
+        "phase": phase, "replicate": rep, "exit_code": proc.returncode,
+        "wall_s": round(time.monotonic() - start, 3),
+        "lod02_ready_s": float(near_match.group(3)),
+        "whole_view_ready_s": float(pipeline["whole_view_ready"].removesuffix("s")),
+        "whole_tiles": int(pipeline["whole_tiles"].split("/")[0]),
+        "log": str(log.relative_to(ROOT)),
+    }
+    print("[L81ReadinessRun] " + json.dumps(row, sort_keys=True), flush=True)
+    return row
+
+
+def main() -> int:
+    if not BINARY.is_file() or not DATA.is_file():
+        raise SystemExit(f"missing input: {BINARY} or {DATA}")
+    rows = []
+    for strate in range(4):
+        for mode, padding in MODES:
+            run(strate, mode, padding, "warmup", 0)
+    orders = (("full", "exact"), ("exact", "full"), ("full", "exact"))
+    for strate in range(4):
+        for rep, order in enumerate(orders, 1):
+            for mode in order:
+                padding = dict(MODES)[mode]
+                rows.append(run(strate, mode, padding, "measured", rep))
+                (OUT / "runs-partial.json").write_text(json.dumps(rows, indent=2) + "\n",
+                                                       encoding="utf-8")
+    summary = []
+    for strate in range(4):
+        group = [row for row in rows if row["strate"] == strate]
+        item = {"strate": strate, "measured_pairs": 3}
+        for mode, _ in MODES:
+            subset = [row for row in group if row["mode"] == mode]
+            item[f"{mode}_lod02_s"] = [row["lod02_ready_s"] for row in subset]
+            item[f"{mode}_lod02_median_s"] = statistics.median(
+                row["lod02_ready_s"] for row in subset)
+            item[f"{mode}_whole_s"] = [row["whole_view_ready_s"] for row in subset]
+            item[f"{mode}_whole_median_s"] = statistics.median(
+                row["whole_view_ready_s"] for row in subset)
+        summary.append(item)
+    (OUT / "summary.json").write_text(json.dumps({"runs": rows, "summary": summary},
+                                                   indent=2) + "\n", encoding="utf-8")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())