tools(audit): whole-surface mesh artifact audit with historical controls (L48, tool only); research R15

AuditWholeSurfaceL48.py scans every LOD0 triangle in the route corridor + 3 m and the chamber box + 3 m:
welded-edge normal variation, high-angle edge density, max jumps and sliver area in 1 m cells, clustered
and located, with thresholds from native patches in the same export, plus a detrended full-width floor
profile. L45 ramp, L46 entrance and L47 wall-foot meshes fail it; plain native terrain passes. Red-triangle
SVG maps included. Not wired into the tiers yet; the attempted Core fix is parked on wip/l48-surface-audit.
Research R15: mesh artifact metrics.

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

Standalone/Research/WorldAssemblerM3/Linux48/AuditWholeSurfaceL48.py

@@ -0,0 +1,709 @@
+#!/usr/bin/env python3
+"""Audit every LOD0 mesh triangle in a cavern corridor for clustered defects."""
+from __future__ import annotations
+
+import argparse
+import array
+import json
+import math
+from pathlib import Path
+import struct
+import sys
+
+
+ROOT = Path(__file__).resolve().parents[4]
+CELL_M = 1.0
+CORRIDOR_MARGIN_M = 3.0
+OPEN_GROUND_EXTENSION_M = 5.0
+WELD_M = 0.0001
+
+
+class Triangle:
+    __slots__ = ("verts", "center", "area", "normal", "smooth", "quality",
+                 "route_distance", "route_lateral", "route_s", "floor_z",
+                 "in_region", "reference")
+
+    def __init__(self, verts, area, normal, smooth, quality):
+        self.verts = verts
+        self.center = tuple(sum(v[i] for v in verts) / 3.0 for i in range(3))
+        self.area = area
+        self.normal = normal
+        self.smooth = smooth
+        self.quality = quality
+        self.route_distance = 0.0
+        self.route_lateral = 0.0
+        self.route_s = 0.0
+        self.floor_z = 0.0
+        self.in_region = False
+        self.reference = False
+
+
+def normalize(value):
+    length = math.sqrt(sum(item * item for item in value))
+    return tuple(item / length for item in value) if length > 1.0e-12 else (0.0, 0.0, 0.0)
+
+
+def dot(a, b):
+    return sum(a[i] * b[i] for i in range(3))
+
+
+def angle_degrees(a, b):
+    return math.degrees(math.acos(max(-1.0, min(1.0, dot(a, b)))))
+
+
+def quantile(values, fraction):
+    if not values:
+        return 0.0
+    ordered = sorted(values)
+    return ordered[min(len(ordered) - 1, max(0, int(math.ceil(fraction * len(ordered))) - 1))]
+
+
+def read_mesh(path: Path):
+    triangles = []
+    selected_tiles = 0
+    lod_counts = {}
+    with path.open("rb") as stream:
+        prefix = stream.read(60)
+        if len(prefix) != 60 or prefix[:8] != b"VFMSH001":
+            raise ValueError(f"{path}: invalid VFMSH001 mesh header")
+        version, voxel_um, tile_count = struct.unpack_from("<3I", prefix, 8)
+        if version != 1 or not voxel_um or tile_count > 1_000_000:
+            raise ValueError(f"{path}: unsupported mesh version or tile count")
+        for _ in range(tile_count):
+            header = stream.read(36)
+            if len(header) != 36:
+                raise ValueError(f"{path}: truncated tile header")
+            key = struct.unpack_from("<4i", header, 0)
+            surface_count, _surface_aux, vertex_count, index_count, mask_count = \
+                struct.unpack_from("<5I", header, 16)
+            lod_counts[key[3]] = lod_counts.get(key[3], 0) + 1
+            position_bytes = stream.read(vertex_count * 12)
+            normal_bytes = stream.read(vertex_count * 12)
+            index_bytes = stream.read(index_count * 4)
+            masks = stream.read(mask_count)
+            if (len(position_bytes) != vertex_count * 12
+                    or len(normal_bytes) != vertex_count * 12
+                    or len(index_bytes) != index_count * 4
+                    or len(masks) != mask_count):
+                raise ValueError(f"{path}: truncated tile payload")
+            if key[3] != 0:
+                continue
+            selected_tiles += 1
+            positions = array.array("f")
+            positions.frombytes(position_bytes)
+            normals = array.array("f")
+            normals.frombytes(normal_bytes)
+            indices = array.array("I")
+            indices.frombytes(index_bytes)
+            if sys.byteorder != "little":
+                positions.byteswap()
+                normals.byteswap()
+                indices.byteswap()
+            for offset in range(0, index_count - 2, 3):
+                if masks and masks[offset // 3]:
+                    continue
+                ids = indices[offset:offset + 3]
+                if max(ids) >= surface_count:
+                    continue
+                verts = tuple(tuple(float(positions[index * 3 + axis]) for axis in range(3))
+                              for index in ids)
+                edge_a = tuple(verts[1][axis] - verts[0][axis] for axis in range(3))
+                edge_b = tuple(verts[2][axis] - verts[0][axis] for axis in range(3))
+                cross = (edge_a[1] * edge_b[2] - edge_a[2] * edge_b[1],
+                         edge_a[2] * edge_b[0] - edge_a[0] * edge_b[2],
+                         edge_a[0] * edge_b[1] - edge_a[1] * edge_b[0])
+                cross_length = math.sqrt(dot(cross, cross))
+                if cross_length <= 1.0e-12:
+                    continue
+                face_normal = tuple(value / cross_length for value in cross)
+                area = cross_length * 0.5
+                smooth_normal = normalize(tuple(
+                    sum(float(normals[index * 3 + axis]) for index in ids) for axis in range(3)))
+                if dot(face_normal, smooth_normal) < 0.0:
+                    face_normal = tuple(-value for value in face_normal)
+                edge_squares = 0.0
+                for a, b in ((verts[0], verts[1]), (verts[1], verts[2]),
+                             (verts[2], verts[0])):
+                    edge_squares += sum((a[i] - b[i]) ** 2 for i in range(3))
+                quality = 4.0 * math.sqrt(3.0) * area / max(edge_squares, 1.0e-15)
+                triangles.append(Triangle(verts, area, face_normal, smooth_normal, quality))
+        if stream.read(1):
+            raise ValueError(f"{path}: trailing bytes after mesh tiles")
+    if not triangles:
+        raise ValueError(f"{path}: no LOD0 surface triangles")
+    return triangles, voxel_um, selected_tiles, lod_counts
+
+
+def bezier(points, t):
+    one = 1.0 - t
+    weights = (one ** 3, 3.0 * one * one * t, 3.0 * one * t * t, t ** 3)
+    return tuple(sum(weights[i] * points[i][axis] for i in range(4)) for axis in range(3))
+
+
+def make_route(layout):
+    edges = layout.get("cavern_edges", [])
+    rooms = layout.get("cavern_rooms", [])
+    if len(edges) != 1 or len(rooms) != 1:
+        raise ValueError("cavern audit expects one resolved room and one edge in its layout")
+    edge = edges[0]
+    points = [[value / 1_000_000.0 for value in row]
+              for row in edge["control_points_um"]]
+    bore_radius = edge["bore_radius_um"] / 1_000_000.0
+    bore_height = edge["bore_height_um"] / 1_000_000.0
+    samples = [bezier(points, index / 160.0) for index in range(161)]
+    horizontal_s = [0.0]
+    for a, b in zip(samples, samples[1:]):
+        horizontal_s.append(horizontal_s[-1] + math.hypot(b[0] - a[0], b[1] - a[1]))
+    first_dx = samples[1][0] - samples[0][0]
+    first_dy = samples[1][1] - samples[0][1]
+    first_len = max(1.0e-9, math.hypot(first_dx, first_dy))
+    extension = (samples[0][0] - first_dx / first_len * OPEN_GROUND_EXTENSION_M,
+                 samples[0][1] - first_dy / first_len * OPEN_GROUND_EXTENSION_M,
+                 samples[0][2] - (samples[1][2] - samples[0][2]) / first_len
+                    * OPEN_GROUND_EXTENSION_M)
+    route_points = [extension, *samples]
+    route_s = [-OPEN_GROUND_EXTENSION_M, *horizontal_s]
+    segments = []
+    for i, (a, b) in enumerate(zip(route_points, route_points[1:])):
+        segments.append((a, b, route_s[i], route_s[i + 1]))
+    room = rooms[0]
+    room_center = tuple(value / 1_000_000.0 for value in room["center_um"])
+    room_half = tuple(value / 1_000_000.0 for value in room["half_extents_um"])
+    room_floor = room["floor_um"] / 1_000_000.0
+    return {
+        "segments": segments,
+        "edge": edge,
+        "bore_radius": bore_radius,
+        "bore_height": bore_height,
+        "room_center": room_center,
+        "room_half": room_half,
+        "room_floor": room_floor,
+        "route_points": samples,
+        "route_length": horizontal_s[-1],
+    }
+
+
+def route_nearest(point, route):
+    best = None
+    for a, b, s0, s1 in route["segments"]:
+        dx, dy = b[0] - a[0], b[1] - a[1]
+        denominator = dx * dx + dy * dy
+        t = 0.0 if denominator <= 1.0e-12 else max(0.0, min(1.0,
+            ((point[0] - a[0]) * dx + (point[1] - a[1]) * dy) / denominator))
+        x, y = a[0] + dx * t, a[1] + dy * t
+        distance = math.hypot(point[0] - x, point[1] - y)
+        if best is None or distance < best[0]:
+            segment_length = math.sqrt(max(denominator, 1.0e-12))
+            lateral = (dx * (point[1] - y) - dy * (point[0] - x)) / segment_length
+            best = (distance, s0 + (s1 - s0) * t,
+                    a[2] + (b[2] - a[2]) * t, lateral)
+    return best
+
+
+def mark_region(triangles, route):
+    room_c = route["room_center"]
+    room_h = route["room_half"]
+    radius = route["bore_radius"] + CORRIDOR_MARGIN_M
+    for tri in triangles:
+        x, y, z = tri.center
+        distance, distance_s, floor_z, lateral = route_nearest(tri.center, route)
+        tri.route_distance = distance
+        tri.route_lateral = lateral
+        tri.route_s = distance_s
+        tri.floor_z = floor_z
+        corridor = (-OPEN_GROUND_EXTENSION_M <= distance_s <= route["route_length"]
+            and distance <= radius
+            and floor_z - CORRIDOR_MARGIN_M <= z
+            <= floor_z + route["bore_height"] + CORRIDOR_MARGIN_M)
+        room_box = (abs(x - room_c[0]) <= room_h[0] + CORRIDOR_MARGIN_M
+            and abs(y - room_c[1]) <= room_h[1] + CORRIDOR_MARGIN_M
+            and route["room_floor"] - CORRIDOR_MARGIN_M <= z
+            <= route["room_floor"] + 2.0 * room_h[2] + CORRIDOR_MARGIN_M)
+        tri.in_region = corridor or room_box
+        outside_bore = (distance > route["bore_radius"] + 0.45
+            or abs(x - room_c[0]) > room_h[0] + 0.45
+            or abs(y - room_c[1]) > room_h[1] + 0.45)
+        # Keep the reference on native, ground-facing terrain. The outer mesh
+        # also contains steep cavern walls and room edges, which are features.
+        tri.reference = tri.in_region and outside_bore and tri.smooth[2] >= 0.45
+
+
+def vertex_key(point):
+    return tuple(int(round(value / WELD_M)) for value in point)
+
+
+def make_edges(triangles, indices):
+    edge_map = {}
+    for index in indices:
+        tri = triangles[index]
+        points = tri.verts
+        for a, b in ((0, 1), (1, 2), (2, 0)):
+            ka, kb = vertex_key(points[a]), vertex_key(points[b])
+            if ka == kb:
+                continue
+            key = (ka, kb) if ka < kb else (kb, ka)
+            delta = tuple(points[a][axis] - points[b][axis] for axis in range(3))
+            length = math.sqrt(dot(delta, delta))
+            midpoint = tuple((points[a][axis] + points[b][axis]) * 0.5 for axis in range(3))
+            edge_map.setdefault(key, []).append((index, length, midpoint))
+    pairs = []
+    for incident in edge_map.values():
+        unique = {}
+        for index, length, midpoint in incident:
+            unique[index] = (length, midpoint)
+        incident = list(unique.items())
+        if len(incident) < 2:
+            continue
+        if len(incident) > 4:
+            incident = incident[:4]
+        for left in range(len(incident)):
+            for right in range(left + 1, len(incident)):
+                i, (length, midpoint) = incident[left]
+                j, _ = incident[right]
+                angle = max(angle_degrees(triangles[i].normal, triangles[j].normal),
+                            0.75 * angle_degrees(triangles[i].smooth, triangles[j].smooth))
+                pairs.append((i, j, angle, length, midpoint))
+    return pairs
+
+
+def cell_of(point):
+    return tuple(math.floor(value / CELL_M) for value in point)
+
+
+def score_surface(triangles, considered, pairs, edge_cutoff, rough_cutoff,
+                  ref_cell_density):
+    considered_set = set(considered)
+    variation = {index: 0.0 for index in considered}
+    max_jump = {index: 0.0 for index in considered}
+    severe_count = {index: 0.0 for index in considered}
+    for i, j, angle, length, _midpoint in pairs:
+        if i not in considered_set or j not in considered_set:
+            continue
+        weighted = angle * length * 0.5
+        variation[i] += weighted
+        variation[j] += weighted
+        max_jump[i] = max(max_jump[i], angle)
+        max_jump[j] = max(max_jump[j], angle)
+        if angle >= edge_cutoff:
+            severe_count[i] += 0.5
+            severe_count[j] += 0.5
+    cells = {}
+    for index in considered:
+        tri = triangles[index]
+        key = cell_of(tri.center)
+        cell = cells.setdefault(key, {"area": 0.0, "variation": 0.0, "severe": 0.0,
+            "sliver_area": 0.0, "slivers": 0, "triangles": 0, "max_jump": 0.0,
+            "reference_area": 0.0, "reference_variation": 0.0,
+            "reference_severe": 0.0, "reference_sliver_area": 0.0,
+            "reference_slivers": 0})
+        cell["area"] += tri.area
+        cell["variation"] += variation[index]
+        cell["severe"] += severe_count[index]
+        cell["triangles"] += 1
+        cell["max_jump"] = max(cell["max_jump"], max_jump[index])
+        sliver = tri.quality < 0.07 and tri.area < 0.12
+        if sliver:
+            cell["sliver_area"] += tri.area
+            cell["slivers"] += 1
+        if tri.reference:
+            cell["reference_area"] += tri.area
+            cell["reference_variation"] += variation[index]
+            cell["reference_severe"] += severe_count[index]
+            if sliver:
+                cell["reference_sliver_area"] += tri.area
+                cell["reference_slivers"] += 1
+    ref_rough = []
+    ref_density = []
+    ref_sliver_fraction = []
+    for cell in cells.values():
+        if cell["reference_area"] >= max(0.15, cell["area"] * 0.65):
+            ref_rough.append(cell["reference_variation"] / max(cell["reference_area"], 1.0e-9))
+            ref_density.append(cell["reference_severe"] / max(cell["reference_area"], 1.0e-9))
+            ref_sliver_fraction.append(cell["reference_sliver_area"]
+                / max(cell["reference_area"], 1.0e-9))
+    reference_median = quantile(ref_rough, 0.5)
+    reference_mad = quantile([abs(value - reference_median) for value in ref_rough], 0.5)
+    cell_rough_limit = max(10.0, quantile(ref_rough, 0.995) * 1.5,
+                           reference_median + 8.0 * reference_mad)
+    edge_density_limit = max(1.5, quantile(ref_density, 0.995) * 1.7,
+                             ref_cell_density * 1.7)
+    sliver_limit = max(0.22, quantile(ref_sliver_fraction, 0.995) + 0.18)
+    hot = set()
+    for key, cell in cells.items():
+        area = max(cell["area"], 1.0e-9)
+        roughness = cell["variation"] / area
+        edge_density = cell["severe"] / area
+        sliver_fraction = cell["sliver_area"] / area
+        rough_cluster = roughness > cell_rough_limit and cell["severe"] >= 2.0
+        edge_cluster = cell["severe"] >= 4.0 and edge_density > edge_density_limit
+        sliver_cluster = cell["slivers"] >= 5 and sliver_fraction > sliver_limit
+        if rough_cluster or edge_cluster or sliver_cluster:
+            hot.add(key)
+        cell["roughness_deg_per_m"] = roughness
+        cell["severe_edge_density_m2"] = edge_density
+        cell["sliver_area_fraction"] = sliver_fraction
+        cell["reasons"] = [name for name, active in (("normal-variation", rough_cluster),
+            ("edge-density", edge_cluster), ("slivers", sliver_cluster)) if active]
+    clusters = []
+    flagged_cells = set()
+    remaining = set(hot)
+    while remaining:
+        stack = [remaining.pop()]
+        members = []
+        while stack:
+            current = stack.pop()
+            members.append(current)
+            x, y, z = current
+            neighbors = [(x + dx, y + dy, z + dz)
+                for dx in (-1, 0, 1) for dy in (-1, 0, 1) for dz in (-1, 0, 1)
+                if dx or dy or dz]
+            for neighbor in neighbors:
+                if neighbor in remaining:
+                    remaining.remove(neighbor)
+                    stack.append(neighbor)
+        cells_in_cluster = [cells[key] for key in members]
+        cluster_area = sum(cell["area"] for cell in cells_in_cluster)
+        cluster_severe = sum(cell["severe"] for cell in cells_in_cluster)
+        cluster_slivers = sum(cell["slivers"] for cell in cells_in_cluster)
+        accepted = len(members) >= 2 and cluster_area >= 0.25 and \
+            (cluster_severe >= 8.0 or cluster_slivers >= 12)
+        if accepted:
+            flagged_cells.update(members)
+            clusters.append({"cells": len(members), "area_m2": cluster_area,
+                "severe_edges": cluster_severe, "sliver_triangles": cluster_slivers,
+                "bounds_m": [[min(key[i] for key in members) * CELL_M,
+                              (max(key[i] for key in members) + 1) * CELL_M]
+                             for i in range(3)],
+                "reasons": sorted({reason for cell in cells_in_cluster
+                                   for reason in cell["reasons"]})})
+    clusters.sort(key=lambda cluster: (cluster["severe_edges"], cluster["area_m2"]), reverse=True)
+    flagged_triangles = [index for index in considered
+                         if cell_of(triangles[index].center) in flagged_cells]
+    return {"cells": cells, "hot_cells": hot, "flagged_cells": flagged_cells,
+            "clusters": clusters, "hot_triangles": flagged_triangles,
+            "thresholds": {"edge_angle_deg": edge_cutoff,
+                "roughness_deg_per_m": cell_rough_limit,
+                "severe_edge_density_m2": edge_density_limit,
+                "sliver_area_fraction": sliver_limit,
+                "reference_cell_roughness_p995_deg_per_m": quantile(ref_rough, 0.995),
+                "reference_cell_roughness_median_deg_per_m": reference_median}}
+
+
+def floor_profile_audit(triangles, considered, region_indices, route):
+    """Measure the whole floor patch as area-weighted bins, not selected rails."""
+    if route is None:
+        return {"present": False, "detected": False, "triangles": 0, "bins": 0,
+                "lateral_bands": 0, "ripple_amplitude_m": 0.0,
+                "max_adjacent_step_m": 0.0}
+    along_step = 0.25
+    lateral_step = 0.5
+    bins = {}
+    floor_triangles = 0
+    wall_triangles = 0
+    wall_bins = set()
+    for index in region_indices:
+        tri = triangles[index]
+        height = tri.center[2] - tri.floor_z
+        if (0.0 <= tri.route_s <= 10.0
+                and route["bore_radius"] - 0.9 <= tri.route_distance
+                    <= route["bore_radius"] + 1.0
+                and 0.45 <= height <= route["bore_height"] + 0.5
+                and abs(tri.smooth[2]) <= 0.45):
+            wall_triangles += 1
+            wall_bins.add(int(tri.route_s))
+    for index in considered:
+        tri = triangles[index]
+        if (tri.route_s < 0.0 or tri.route_s > min(10.0, route["route_length"])
+                or tri.route_distance > min(1.9, route["bore_radius"] - 0.1)
+                or abs(tri.center[2] - tri.floor_z) > 0.60
+                or tri.smooth[2] < 0.55):
+            continue
+        floor_triangles += 1
+        along_bin = int(math.floor(tri.route_s / along_step))
+        lateral_bin = int(math.floor((tri.route_lateral + 2.0) / lateral_step))
+        key = (lateral_bin, along_bin)
+        row = bins.setdefault(key, [0.0, 0.0, 0])
+        residual = tri.center[2] - tri.floor_z
+        row[0] += residual * tri.area
+        row[1] += tri.area
+        row[2] += 1
+    by_lateral = {}
+    for (lateral_bin, along_bin), (weighted_residual, area, count) in bins.items():
+        if area < 0.002:
+            continue
+        by_lateral.setdefault(lateral_bin, {})[along_bin] = weighted_residual / area
+    amplitudes = []
+    steps = []
+    valid_bins = 0
+    for values in by_lateral.values():
+        ordered = sorted(values.items())
+        run = []
+        runs = []
+        for item in ordered:
+            if run and item[0] != run[-1][0] + 1:
+                runs.append(run)
+                run = []
+            run.append(item)
+        if run:
+            runs.append(run)
+        for segment in runs:
+            if len(segment) < 8:
+                continue
+            valid_bins += len(segment)
+            raw = [value for _, value in segment]
+            highpass = []
+            for position, value in enumerate(raw):
+                nearby = raw[max(0, position - 4):min(len(raw), position + 5)]
+                highpass.append(value - sum(nearby) / len(nearby))
+            amplitudes.append(max(highpass) - min(highpass))
+            steps.extend(abs(raw[i] - raw[i - 1]) for i in range(1, len(raw)))
+    max_ripple = max(amplitudes, default=0.0) * 0.5
+    max_step = max(steps, default=0.0)
+    present = (floor_triangles >= 24 and valid_bins >= 8
+        and wall_triangles >= 24 and len(wall_bins) >= 3)
+    detected = present and (max_ripple > 0.015 or max_step > 0.050)
+    return {"present": present, "detected": detected, "triangles": floor_triangles,
+        "bins": valid_bins, "lateral_bands": len(by_lateral),
+        "wall_triangles": wall_triangles, "wall_bins": len(wall_bins),
+        "ripple_amplitude_m": max_ripple, "max_adjacent_step_m": max_step,
+        "thresholds": {"ripple_amplitude_m": 0.015, "adjacent_step_m": 0.050}}
+
+
+def wall_band_measure(pairs, route, edge_cutoff):
+    """Locate high dihedrals around the bore-foot and the L47 0.25 m band edge."""
+    if route is None:
+        return {}
+    bins = {}
+    radius = route["bore_radius"]
+    for _i, _j, angle, _length, midpoint in pairs:
+        distance, route_s, floor_z, _lateral = route_nearest(midpoint, route)
+        height = midpoint[2] - floor_z
+        if (0.0 <= route_s <= 10.0 and abs(distance - radius) <= 0.75
+                and -0.25 <= height <= 0.875):
+            index = int(math.floor((height + 0.25) / 0.125))
+            entry = bins.setdefault(index, [])
+            entry.append(angle)
+    result = {}
+    for index, angles in sorted(bins.items()):
+        center_height = (index + 0.5) * 0.125 - 0.25
+        result[f"{center_height:.3f}"] = {
+            "edges": len(angles),
+            "over_reference_cutoff": sum(value >= edge_cutoff for value in angles),
+            "p95_dihedral_deg": quantile(angles, 0.95),
+            "max_dihedral_deg": max(angles, default=0.0),
+        }
+    return result
+
+
+def radial_wall_measure(pairs, route, edge_cutoff):
+    """Measure dihedrals across the hard bore-radius gate at the entrance foot."""
+    if route is None:
+        return {}
+    bins = {}
+    radius = route["bore_radius"]
+    for _i, _j, angle, _length, midpoint in pairs:
+        distance, route_s, floor_z, _lateral = route_nearest(midpoint, route)
+        height = midpoint[2] - floor_z
+        if (-5.0 <= route_s <= 3.0 and -1.0 <= height <= 0.75
+                and abs(distance - radius) <= 1.0):
+            index = int(math.floor((distance - (radius - 1.0)) / 0.125))
+            bins.setdefault(index, []).append(angle)
+    return {f"{radius - 1.0 + (index + 0.5) * 0.125:.3f}": {
+        "edges": len(angles),
+        "over_reference_cutoff": sum(value >= edge_cutoff for value in angles),
+        "p95_dihedral_deg": quantile(angles, 0.95),
+        "max_dihedral_deg": max(angles, default=0.0),
+    } for index, angles in sorted(bins.items())}
+
+
+def svg_for(path, triangles, route, hot_triangles, label):
+    selected = [triangles[index] for index in hot_triangles]
+    all_region = [tri for tri in triangles if tri.in_region]
+    points = [point for tri in all_region for point in tri.verts]
+    if not points:
+        return
+    xmin, xmax = min(p[0] for p in points), max(p[0] for p in points)
+    ymin, ymax = min(p[1] for p in points), max(p[1] for p in points)
+    width, height, margin = 1200.0, 900.0, 35.0
+    sx = (width - 2 * margin) / max(1.0e-6, xmax - xmin)
+    sy = (height - 2 * margin) / max(1.0e-6, ymax - ymin)
+    scale = min(sx, sy)
+    draw_w, draw_h = (xmax - xmin) * scale, (ymax - ymin) * scale
+    ox, oy = (width - draw_w) * 0.5, (height - draw_h) * 0.5
+    def project(point):
+        return ox + (point[0] - xmin) * scale, height - oy - (point[1] - ymin) * scale
+    lines = [f'<svg xmlns="http://www.w3.org/2000/svg" width="{int(width)}" height="{int(height)}" viewBox="0 0 {int(width)} {int(height)}">',
+        '<rect width="100%" height="100%" fill="#fbfbfa"/>',
+        f'<text x="28" y="28" font-family="sans-serif" font-size="19" fill="#222">{label}: whole-surface defect clusters (XY plan)</text>',
+        '<g fill="#c8ced2" fill-opacity="0.24" stroke="#8b959b" stroke-opacity="0.12" stroke-width="0.3">']
+    for tri in all_region:
+        coords = [project(p) for p in tri.verts]
+        lines.append('<polygon points="' + " ".join(f"{x:.1f},{y:.1f}" for x, y in coords)
+                     + '"/>')
+    lines.append('</g><g fill="#d7191c" fill-opacity="0.78" stroke="#7f0000" stroke-width="0.4">')
+    for tri in selected:
+        coords = [project(p) for p in tri.verts]
+        lines.append('<polygon points="' + " ".join(f"{x:.1f},{y:.1f}" for x, y in coords)
+                     + '"/>')
+    route_coords = [project(p) for p in route["route_points"]]
+    lines.append('</g><polyline points="' + " ".join(f"{x:.1f},{y:.1f}" for x, y in route_coords)
+                 + '" fill="none" stroke="#1769aa" stroke-width="2"/>')
+    lines.append(f'<text x="28" y="{int(height - 24)}" font-family="sans-serif" font-size="15" fill="#333">Blue: intended route · Red: flagged triangle cells · Gray: remaining ROI triangles · flagged triangles: {len(selected)}</text>')
+    lines.append('</svg>')
+    path.parent.mkdir(parents=True, exist_ok=True)
+    path.write_text("\n".join(lines) + "\n", encoding="utf-8")
+
+
+def audit_case(label, mesh_path, layout_path, expect, focus, svg_dir):
+    triangles, voxel_um, tile_count, lod_counts = read_mesh(mesh_path)
+    route = None
+    if layout_path != Path("-"):
+        layout = json.loads(layout_path.read_text(encoding="utf-8"))
+        route = make_route(layout)
+        mark_region(triangles, route)
+        region_indices = [i for i, tri in enumerate(triangles) if tri.in_region]
+    else:
+        region_indices = list(range(len(triangles)))
+        for tri in triangles:
+            tri.in_region = True
+            tri.reference = True
+    if len(region_indices) < 24:
+        raise ValueError(f"{label}: only {len(region_indices)} triangles intersect the ROI")
+    reference_indices = [i for i in region_indices if triangles[i].reference]
+    if len(reference_indices) < 24:
+        reference_indices = region_indices
+        for index in region_indices:
+            triangles[index].reference = True
+    edge_pairs = make_edges(triangles, region_indices)
+    reference_edges = [edge[2] for edge in edge_pairs
+        if triangles[edge[0]].reference and triangles[edge[1]].reference]
+    edge_cutoff = max(35.0, quantile(reference_edges, 0.995))
+    reference_set = set(reference_indices)
+    ref_roughness = {index: 0.0 for index in reference_indices}
+    for i, j, angle, length, _midpoint in edge_pairs:
+        if i in reference_set and j in reference_set:
+            ref_roughness[i] += angle * length * 0.5
+            ref_roughness[j] += angle * length * 0.5
+    ref_values = [ref_roughness[index] / max(triangles[index].area, 1.0e-9)
+                  for index in reference_indices]
+    rough_cutoff = 10.0
+    ref_density = 0.0
+    ref_area = sum(triangles[index].area for index in reference_indices)
+    ref_severe = 0.0
+    for i, j, angle, _length, _midpoint in edge_pairs:
+        if i in reference_set and j in reference_set and angle >= edge_cutoff:
+            ref_severe += 1.0
+    ref_density = ref_severe / max(ref_area, 1.0e-9)
+    if focus == "floor":
+        considered = [i for i in region_indices if route is not None
+            and triangles[i].route_s >= 1.5
+            and triangles[i].route_s <= 10.0
+            and triangles[i].route_distance <= 1.25
+            and abs(triangles[i].center[2] - triangles[i].floor_z) <= 0.24
+            and triangles[i].smooth[2] >= 0.55]
+    else:
+        considered = region_indices
+    if len(considered) < 24:
+        raise ValueError(f"{label}: focus={focus} has only {len(considered)} triangles")
+    scores = score_surface(triangles, considered, edge_pairs, edge_cutoff,
+                           rough_cutoff, ref_density)
+    floor_profile = floor_profile_audit(triangles, considered, region_indices, route)
+    wall_band = wall_band_measure(edge_pairs, route, edge_cutoff)
+    radial_wall = radial_wall_measure(edge_pairs, route, edge_cutoff)
+    found = bool(scores["clusters"]) or floor_profile["detected"]
+    passed = expect == "measure" or (expect == "fail" and found) or (expect == "pass" and not found)
+    if svg_dir and route is not None:
+        svg_for(svg_dir / f"flagged-regions-{label}.svg", triangles, route,
+                scores["hot_triangles"], label)
+    cluster_summary = scores["clusters"][:8]
+    result = {
+        "label": label,
+        "mesh": str(mesh_path),
+        "layout": None if layout_path == Path("-") else str(layout_path),
+        "focus": focus,
+        "expected": expect,
+        "observed": "fail" if found else "pass",
+        "status": "PASS" if passed else "FAIL",
+        "voxel_um": voxel_um,
+        "lod0_tiles": tile_count,
+        "lod_tile_counts": lod_counts,
+        "triangles_loaded_lod0": len(triangles),
+        "triangles_in_roi": len(region_indices),
+        "triangles_audited": len(considered),
+        "adjacent_pairs": len(edge_pairs),
+        "reference_triangles": len(reference_indices),
+        "reference_edge_p995_deg": quantile(reference_edges, 0.995),
+        "reference_p995_normal_variation_deg_per_m": quantile(ref_values, 0.995),
+        "thresholds": scores["thresholds"],
+        "flagged_cells": len(scores["hot_cells"]),
+        "flagged_triangles": len(scores["hot_triangles"]),
+        "floor_profile": floor_profile,
+        "wall_band_height_histogram": wall_band,
+        "radial_wall_histogram": radial_wall,
+        "clusters": cluster_summary,
+    }
+    print(f"[WholeSurfaceAudit] label={label} focus={focus} lod0_tiles={tile_count} "
+        f"triangles_roi={len(region_indices)} audited={len(considered)} "
+        f"adjacent_pairs={len(edge_pairs)} reference={len(reference_indices)} "
+        f"edge_cutoff_deg={edge_cutoff:.2f} "
+        f"roughness_cutoff_deg_m={scores['thresholds']['roughness_deg_per_m']:.2f} "
+        f"hot_cells={len(scores['hot_cells'])} flagged_triangles={len(scores['hot_triangles'])} "
+        f"clusters={len(scores['clusters'])} observed={result['observed'].upper()} "
+        f"expected={expect.upper()} status={result['status']}")
+    print(f"[WholeSurfaceFloorProfile] label={label} triangles={floor_profile['triangles']} "
+        f"bins={floor_profile['bins']} lateral_bands={floor_profile['lateral_bands']} "
+        f"wall_triangles={floor_profile.get('wall_triangles', 0)} "
+        f"wall_bins={floor_profile.get('wall_bins', 0)} "
+        f"ripple_amplitude_m={floor_profile['ripple_amplitude_m']:.4f} "
+        f"max_adjacent_step_m={floor_profile['max_adjacent_step_m']:.4f} "
+        f"observed={'FAIL' if floor_profile['detected'] else ('PASS' if floor_profile['present'] else 'NOT_PRESENT')}")
+    if wall_band:
+        print(f"[WholeSurfaceWallBandMeasure] label={label} voxel_m={voxel_um / 1_000_000.0:.3f} "
+            f"recarve_edge_height_m=0.250 radial_band_m={route['bore_radius']:.3f} "
+            f"height_histogram={json.dumps(wall_band, sort_keys=True, separators=(',', ':'))}")
+        print(f"[WholeSurfaceRadialWallMeasure] label={label} route_s_m=-5..3 "
+            f"height_above_floor_m=-1..0.75 bore_radius_m={route['bore_radius']:.3f} "
+            f"radial_histogram={json.dumps(radial_wall, sort_keys=True, separators=(',', ':'))}")
+    for index, cluster in enumerate(cluster_summary):
+        print(f"[WholeSurfaceCluster] label={label} index={index} cells={cluster['cells']} "
+            f"area_m2={cluster['area_m2']:.3f} severe_edges={cluster['severe_edges']:.1f} "
+            f"slivers={cluster['sliver_triangles']} bounds_m={cluster['bounds_m']} "
+            f"reasons={','.join(cluster['reasons'])}")
+    hot_cells = scores["cells"]
+    for key in sorted(scores["hot_cells"], key=lambda item: (
+            hot_cells[item]["severe"], hot_cells[item]["variation"]), reverse=True)[:12]:
+        cell = hot_cells[key]
+        local = route_nearest(tuple((axis + 0.5) * CELL_M for axis in key), route) if route else None
+        print(f"[WholeSurfaceHotCell] label={label} cell_m=({key[0]},{key[1]},{key[2]}) "
+            f"route_s_m={local[1] if local else 0.0:.2f} radial_m={local[0] if local else 0.0:.2f} "
+            f"height_above_floor_m={(key[2] + 0.5 - local[2]) if local else 0.0:.2f} "
+            f"area_m2={cell['area']:.3f} roughness_deg_m={cell['roughness_deg_per_m']:.2f} "
+            f"severe_edges={cell['severe']:.1f} edge_density_m2={cell['severe_edge_density_m2']:.2f} "
+            f"slivers={cell['slivers']} max_jump_deg={cell['max_jump']:.2f} "
+            f"reasons={','.join(cell['reasons'])}")
+    return result
+
+
+def main():
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--case", nargs=5, action="append", required=True,
+        metavar=("LABEL", "MESH", "LAYOUT_OR_DASH", "EXPECT", "FOCUS"))
+    parser.add_argument("--json", type=Path, required=True)
+    parser.add_argument("--svg-dir", type=Path)
+    args = parser.parse_args()
+    results = []
+    for label, mesh, layout, expect, focus in args.case:
+        if expect not in ("pass", "fail", "measure") or focus not in ("whole", "floor"):
+            parser.error("EXPECT must be pass/fail/measure and FOCUS must be whole/floor")
+        results.append(audit_case(label, Path(mesh), Path(layout), expect, focus, args.svg_dir))
+    args.json.parent.mkdir(parents=True, exist_ok=True)
+    args.json.write_text(json.dumps({"audit": "whole-surface-l48-v1", "cases": results},
+                                    indent=2) + "\n", encoding="utf-8")
+    failures = [result for result in results if result["status"] != "PASS"]
+    print(f"[WholeSurfaceAuditSummary] cases={len(results)} failed={len(failures)} "
+          f"json={args.json} status={'FAIL' if failures else 'PASS'}")
+    return 1 if failures else 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

Standalone/Research/WorldAssemblerM3/Linux48/CaptureLandmarkL48.py

@@ -0,0 +1,410 @@
+#!/usr/bin/env python3
+"""Capture L48 cavern entrance views and audit the exported floor profile."""
+from __future__ import annotations
+
+import argparse
+import importlib.util
+import json
+import math
+import os
+from pathlib import Path
+import subprocess
+import sys
+import time
+
+
+ROOT = Path(__file__).resolve().parents[4]
+VERIFY = ROOT / "Standalone/Tools/verify"
+LINUX37 = ROOT / "Standalone/Research/WorldAssemblerM3/Linux37"
+sys.path.insert(0, str(VERIFY))
+from runner import bounded_run, current_stamp, first_stamp
+
+
+def load_module(name: str, path: Path):
+    spec = importlib.util.spec_from_file_location(name, path)
+    if spec is None or spec.loader is None:
+        raise RuntimeError(f"cannot import {path}")
+    module = importlib.util.module_from_spec(spec)
+    spec.loader.exec_module(module)
+    return module
+
+
+PROFILE = load_module("l45_ring_profile", ROOT /
+    "Standalone/Research/WorldAssemblerM3/Linux32/AuditRingTerraceL32.py")
+SHAPE = load_module("l45_shape_audit", LINUX37 / "AuditMouthShapeL37.py")
+
+PARSER = argparse.ArgumentParser(description=__doc__)
+PARSER.add_argument("--layout", type=Path, required=True)
+PARSER.add_argument("--artifact-dir", type=Path, required=True)
+PARSER.add_argument("--capture-dir", type=Path, required=True)
+PARSER.add_argument("--data", type=Path, default=ROOT / "Standalone/data/owner_world.json")
+OPTIONS = PARSER.parse_args()
+
+ARTIFACT_DIR = OPTIONS.artifact_dir.resolve()
+CAPTURE_DIR = OPTIONS.capture_dir.resolve()
+LAYOUT_PATH = OPTIONS.layout.resolve()
+ARTIFACT_DIR.mkdir(parents=True, exist_ok=True)
+CAPTURE_DIR.mkdir(parents=True, exist_ok=True)
+PNG_DIR = ARTIFACT_DIR / "capture-png"
+PNG_DIR.mkdir(parents=True, exist_ok=True)
+HEADLESS = Path(os.environ["VOXELFORGE_L37_HEADLESS"])
+RENDERER = Path(os.environ["VOXELFORGE_L37_RENDERER"])
+EXPECTED_STAMP = current_stamp()
+
+
+def run_logged(name: str, command: list[str], *, capture: bool = False) -> str:
+    log = ARTIFACT_DIR / f"{name}.log"
+    started = time.monotonic()
+    with log.open("w", encoding="utf-8") as stream:
+        result = bounded_run(command, timeout=1800, stdout=stream)
+    elapsed = time.monotonic() - started
+    output = log.read_text(encoding="utf-8", errors="replace")
+    if result is None:
+        raise RuntimeError(f"{name} timed out; see {log}")
+    print(f"[L48CaptureRun] step={name} elapsed={elapsed:.1f}s "
+          f"exit={result.returncode} log={log}", flush=True)
+    if result.returncode != 0:
+        raise RuntimeError(f"{name} failed; see {log}")
+    if capture and (first_stamp(output) != EXPECTED_STAMP
+                    or first_stamp(bounded_run(
+                        [str(command[0]), "--print-source-stamp"], timeout=15).stdout or "")
+                    != EXPECTED_STAMP):
+        raise RuntimeError(f"{name} executable source stamp mismatch")
+    return output
+
+
+def stamp_by_id(layout: dict, stable_id: str) -> dict:
+    for stamp in layout.get("stamps", []):
+        if stamp.get("stable_id") == stable_id:
+            return stamp
+    raise RuntimeError(f"missing stamp {stable_id}")
+
+
+def metres(stamp: dict, key: str = "position_um") -> tuple[float, float, float]:
+    return tuple(value / 1_000_000.0 for value in stamp[key])
+
+
+def camera_angles(camera, target):
+    dx, dy, dz = (target[index] - camera[index] for index in range(3))
+    return (math.degrees(math.atan2(dx, dy)),
+            math.degrees(math.atan2(dz, math.hypot(dx, dy))))
+
+
+def fmt(values) -> str:
+    return ",".join(f"{value:.6f}" for value in values)
+
+
+def camera_spec(camera, target):
+    yaw, pitch = camera_angles(camera, target)
+    return (*camera, yaw, pitch)
+
+
+def edge_point(edge: dict, t: float) -> tuple[float, float, float]:
+    points = edge["control_points_um"]
+    one = 1.0 - t
+    weights = (one ** 3, 3 * one ** 2 * t, 3 * one * t ** 2, t ** 3)
+    return tuple(sum(weights[index] * points[index][axis]
+                     for index in range(4)) / 1_000_000.0
+                 for axis in range(3))
+
+
+def cavern_features(layout: dict):
+    if (layout.get("cavern_graph_vocabulary_version") != 1
+            or len(layout.get("cavern_rooms", [])) != 1
+            or len(layout.get("cavern_edges", [])) != 1):
+        raise RuntimeError("L48 capture needs one resolved cavern room and edge")
+    room = layout["cavern_rooms"][0]
+    edge = layout["cavern_edges"][0]
+    return room, edge
+
+
+layout = json.loads(LAYOUT_PATH.read_text(encoding="utf-8"))
+room, edge = cavern_features(layout)
+portal_stamp = stamp_by_id(layout, "landmark/sw-arrival-chamber-mouth-approach-v1")
+floor_stamp = stamp_by_id(layout, "landmark/sw-arrival-chamber-v1-floor")
+dais_stamp = stamp_by_id(layout, "landmark/sw-arrival-chamber-v1-dais")
+entrance = edge_point(edge, 0.0)
+next_ramp = edge_point(edge, 0.08)
+portal = metres(portal_stamp)
+chamber = metres(room, "center_um")
+floor = metres(floor_stamp)
+floor_top = floor[2] + floor_stamp["half_extents_um"][2] / 1_000_000.0
+dais = metres(dais_stamp)
+dais_top = dais[2] + dais_stamp["half_extents_um"][2] / 1_000_000.0
+ground_z = entrance[2]
+direction_length = math.hypot(next_ramp[0] - entrance[0], next_ramp[1] - entrance[1])
+direction = ((next_ramp[0] - entrance[0]) / direction_length,
+             (next_ramp[1] - entrance[1]) / direction_length)
+outward_length = math.hypot(entrance[0] - chamber[0], entrance[1] - chamber[1])
+outward = ((entrance[0] - chamber[0]) / outward_length,
+           (entrance[1] - chamber[1]) / outward_length)
+mouth_normal = (-direction[1], direction[0])
+
+mesh = ARTIFACT_DIR / "landmark-l48.vfmesh"
+native_mesh = ARTIFACT_DIR / "control-plain-native.vfmesh"
+export_anchor = edge_point(edge, 0.25)
+export_camera = (export_anchor[0], export_anchor[1], export_anchor[2] + 1.4)
+export_target_floor = edge_point(edge, 0.42)
+export_target = (export_target_floor[0], export_target_floor[1],
+                 export_target_floor[2] + 1.2)
+run_logged("landmark-export", [str(HEADLESS), str(OPTIONS.data), "--workers=12",
+    "--world-assembler-prototype", "--stream-benchmark", "--stream-pipeline",
+    "--force-generate", "--clip-radius=4", "--max-clip-level=0", "--max-level=0",
+    "--render-distance-chunks=0", "--recipe=surface-world", "--landmark-chamber-demo",
+    f"--camera={fmt(camera_spec(export_camera, export_target))}",
+    f"--mesh-export={mesh}", f"--resolved-layout-output={LAYOUT_PATH}"], capture=True)
+run_logged("plain-native-export", [str(HEADLESS), str(OPTIONS.data), "--workers=12",
+    "--world-assembler-prototype", "--stream-benchmark", "--stream-pipeline",
+    "--force-generate", "--clip-radius=4", "--max-clip-level=0", "--max-level=0",
+    "--render-distance-chunks=0", "--recipe=surface-world",
+    f"--camera={fmt(camera_spec(export_camera, export_target))}",
+    f"--mesh-export={native_mesh}",
+    f"--resolved-layout-output={ARTIFACT_DIR / 'control-plain-native-layout.json'}"],
+    capture=True)
+layout = json.loads(LAYOUT_PATH.read_text(encoding="utf-8"))
+room, edge = cavern_features(layout)
+portal_stamp = stamp_by_id(layout, "landmark/sw-arrival-chamber-mouth-approach-v1")
+floor_stamp = stamp_by_id(layout, "landmark/sw-arrival-chamber-v1-floor")
+dais_stamp = stamp_by_id(layout, "landmark/sw-arrival-chamber-v1-dais")
+entrance = edge_point(edge, 0.0)
+next_ramp = edge_point(edge, 0.08)
+portal = metres(portal_stamp)
+chamber = metres(room, "center_um")
+floor = metres(floor_stamp)
+floor_top = floor[2] + floor_stamp["half_extents_um"][2] / 1_000_000.0
+dais = metres(dais_stamp)
+dais_top = dais[2] + dais_stamp["half_extents_um"][2] / 1_000_000.0
+ground_z = entrance[2]
+direction_length = math.hypot(next_ramp[0] - entrance[0], next_ramp[1] - entrance[1])
+direction = ((next_ramp[0] - entrance[0]) / direction_length,
+             (next_ramp[1] - entrance[1]) / direction_length)
+outward_length = math.hypot(entrance[0] - chamber[0], entrance[1] - chamber[1])
+outward = ((entrance[0] - chamber[0]) / outward_length,
+           (entrance[1] - chamber[1]) / outward_length)
+if not mesh.is_file() or mesh.stat().st_size == 0:
+    raise RuntimeError(f"missing mesh export {mesh}")
+
+entrance_audit = ROOT / "Standalone/Research/WorldAssemblerM3/Linux47/MeasureEntranceL47.py"
+run_logged("entrance-floor-control-l46", [sys.executable, str(entrance_audit),
+    "--mesh", str(ROOT / "Saved/Linux/l46/landmark-l46.vfmesh"),
+    "--layout", str(ROOT / "Saved/Linux/l46/layouts/landmark-reachability-clang.json"),
+    "--out", str(ARTIFACT_DIR / "entrance-profile-control-l46.json"), "--expect=fail"])
+run_logged("entrance-floor-audit", [sys.executable, str(entrance_audit),
+    "--mesh", str(mesh), "--layout", str(LAYOUT_PATH),
+    "--out", str(ARTIFACT_DIR / "entrance-profile-l48.json"), "--expect=pass"])
+
+voxel_um, triangles, tile_count = PROFILE.read_scene(str(mesh), 0,
+    floor_top - 8.0, entrance[2] + 9.0,
+    (min(entrance[0], chamber[0]) - 20.0, max(entrance[0], chamber[0]) + 20.0,
+     min(entrance[1], chamber[1]) - 20.0, max(entrance[1], chamber[1]) + 20.0))
+bounds = (min(entrance[0], chamber[0]) - 20.0, max(entrance[0], chamber[0]) + 20.0,
+          min(entrance[1], chamber[1]) - 20.0, max(entrance[1], chamber[1]) + 20.0)
+buckets = PROFILE.build_buckets(triangles, True, bounds, cell_size=1.0)
+ground_candidates = []
+for ix in range(-20, 21):
+    for iy in range(-20, 21):
+        x, y = portal[0] + ix * 0.5, portal[1] + iy * 0.5
+        dx, dy = x - portal[0], y - portal[1]
+        distance = math.hypot(dx, dy)
+        if not 6.0 <= distance <= 10.0:
+            continue
+        hit = PROFILE.sample_surface(buckets, x, y, True, 1.0,
+            preferred_height=ground_z)
+        if hit is None or abs(hit[0] - ground_z) > 3.0 or hit[1][2] < 0.85:
+            continue
+        alignment = max(-1.0, min(1.0,
+            (dx * mouth_normal[0] + dy * mouth_normal[1]) / distance))
+        angle = math.acos(alignment)
+        score = abs(distance - 7.0) + angle * 4.0
+        ground_candidates.append((score, x, y, hit[0]))
+if not ground_candidates:
+    raise RuntimeError("no walkable mesh ground lies 6 to 10 m from the cave mouth")
+_, ground_x, ground_y, outside_ground = min(ground_candidates)
+inside_floor = PROFILE.sample_surface(buckets, chamber[0], chamber[1], True, 1.0,
+    preferred_height=floor_top)
+if inside_floor is None or abs(inside_floor[0] - floor_top) > 1.5:
+    raise RuntimeError(f"chamber floor mesh hit {inside_floor} does not match designed floor {floor_top:.3f} m")
+floor_top = inside_floor[0]
+
+ground_camera = (ground_x, ground_y, outside_ground + 1.6)
+entry_ground = PROFILE.sample_surface(buckets, entrance[0], entrance[1], True, 1.0,
+    preferred_height=ground_z)
+if entry_ground is None:
+    raise RuntimeError("cave mouth has no walkable ground surface in the exported mesh")
+entry_camera = (entrance[0] + mouth_normal[0] * 3.8,
+                entrance[1] + mouth_normal[1] * 3.8, ground_z + 1.6)
+entry_target_floor = edge_point(edge, 0.30)
+entry_target = (entry_target_floor[0], entry_target_floor[1], entry_target_floor[2] + 1.4)
+low_camera = (entrance[0] + outward[0] * 1.0,
+              entrance[1] + outward[1] * 1.0, ground_z + 0.65)
+low_target_floor = edge_point(edge, 0.24)
+low_target = (low_target_floor[0], low_target_floor[1], low_target_floor[2] + 0.15)
+to_dais = (dais[0] - chamber[0], dais[1] - chamber[1])
+to_dais_length = math.hypot(*to_dais)
+opposite_dais = (-to_dais[0] / to_dais_length, -to_dais[1] / to_dais_length)
+inside_x = chamber[0]
+inside_y = chamber[1]
+inside_floor = PROFILE.sample_surface(buckets, inside_x, inside_y, True, 1.0,
+    preferred_height=floor_top)
+inside_eye_z = inside_floor[0] + 1.6
+chamber_camera = (chamber[0] + opposite_dais[0] * 5.5,
+                  chamber[1] + opposite_dais[1] * 5.5, inside_eye_z)
+chamber_target = (dais[0], dais[1], dais_top - 0.25)
+overview_camera = (entrance[0] + outward[0] * 18.0,
+                   entrance[1] + outward[1] * 18.0, outside_ground + 15.0)
+overview_target = ((entrance[0] + chamber[0]) * 0.5,
+                   (entrance[1] + chamber[1]) * 0.5,
+                   (ground_z + floor_top) * 0.5)
+inward = (-outward[0], -outward[1])
+clip_point = (entrance[0] + outward[0] * 0.5,
+              entrance[1] + outward[1] * 0.5)
+overview_clip = (inward[0], inward[1], 0.0,
+    -(inward[0] * clip_point[0] + inward[1] * clip_point[1]))
+
+views = (
+    ("ground-entrance", ground_camera, (portal[0], portal[1], portal[2]),
+        (portal[0], portal[1], ground_z, 20.0), -509.0),
+    ("entrance-looking-in", entry_camera, entry_target, (entrance[0], entrance[1], entrance[2], 16.0), -507.0),
+    ("entrance-floor-low", low_camera, low_target,
+        (entrance[0], entrance[1], entrance[2], 12.0), ground_z),
+    ("inside-to-dais", chamber_camera, chamber_target,
+        (chamber[0], chamber[1], chamber[2], 15.0), chamber[2]),
+    ("overview-entrance-and-chamber", overview_camera, overview_target,
+        ((entrance[0] + chamber[0]) * 0.5,
+         (entrance[1] + chamber[1]) * 0.5,
+         (ground_z + floor_top) * 0.5, 34.0), -509.0),
+)
+
+for name, camera, target, focus, height_center in views:
+    png = PNG_DIR / f"{name}.png"
+    jpg = CAPTURE_DIR / f"{name}.jpg"
+    yaw, pitch = camera_angles(camera, target)
+    fov = (80.0 if name == "overview-entrance-and-chamber" else
+        70.0 if name in ("inside-to-dais", "entrance-looking-in") else
+        58.0 if name == "entrance-floor-low" else 65.0
+        if name == "ground-entrance" else 60.0)
+    if name == "ground-entrance":
+        fov = 55.0
+    print(f"[L48CaptureCamera] view={name} camera_m=({fmt(camera)}) "
+          f"target_m=({fmt(target)}) yaw_deg={yaw:.3f} pitch_deg={pitch:.3f} "
+          f"fov_deg={fov:.1f} entrance_distance_m={math.dist(camera, portal):.3f}", flush=True)
+    render = [str(RENDERER), str(mesh), str(png), "--size=1600x900", f"--fov-deg={fov:.1f}",
+        f"--camera-m={fmt(camera)}", f"--yaw-deg={yaw:.6f}", f"--pitch-deg={pitch:.6f}",
+        "--shade=readable", "--headlamp=on", "--height-tint=on",
+        "--light-direction=0.3,-0.4,0.85",
+        f"--height-center-m={(floor_top if name == 'inside-to-dais' else height_center):.6f}",
+        f"--height-range-m={4 if name == 'inside-to-dais' else 6 if name == 'entrance-floor-low' else 16}",
+        "--tile-skirts=off", "--tile-edges=off",
+        f"--focus-region={fmt(focus)}"]
+    if name == "overview-entrance-and-chamber":
+        render.append(f"--clip-plane={fmt(overview_clip)}")
+    run_logged(f"{name}-render", render, capture=True)
+    for quality in (4, 6, 8):
+        run_logged(f"{name}-jpeg-q{quality}", ["ffmpeg", "-nostdin", "-hide_banner",
+            "-loglevel", "error", "-y", "-i", str(png), "-frames:v", "1",
+            "-q:v", str(quality), str(jpg)])
+        if jpg.is_file() and 0 < jpg.stat().st_size <= 300_000:
+            break
+    if not jpg.is_file() or not 0 < jpg.stat().st_size <= 300_000:
+        raise RuntimeError(f"{jpg.name} exceeds the 300 KB capture limit")
+    quality_log = run_logged(f"{name}-quality", [sys.executable,
+        str(VERIFY / "capture_quality.py"), str(jpg)])
+    print(f"[L48CaptureJPEG] file={jpg} bytes={jpg.stat().st_size} "
+          f"quality_log={quality_log.strip().replace(chr(10), ' ')} status=PASS", flush=True)
+
+
+def region_triangles(center, radius_xy, z_min, z_max):
+    selected = []
+    for triangle in triangles:
+        points = tuple(vertex[0] for vertex in triangle[2])
+        centroid = tuple(sum(point[axis] for point in points) / 3.0 for axis in range(3))
+        if (math.hypot(centroid[0] - center[0], centroid[1] - center[1]) <= radius_xy
+                and z_min <= centroid[2] <= z_max):
+            selected.append(triangle)
+    return selected
+
+
+def tunnel_wall_triangles(edge, t, height_above_floor):
+    center = edge_point(edge, t)
+    before = edge_point(edge, max(0.0, t - 0.01))
+    after = edge_point(edge, min(1.0, t + 0.01))
+    tx, ty = after[0] - before[0], after[1] - before[1]
+    tangent_length = math.hypot(tx, ty)
+    tx, ty = tx / tangent_length, ty / tangent_length
+    expected_radius = edge["bore_radius_um"] / 1_000_000.0 * math.sqrt(
+        1.0 - (height_above_floor / (edge["bore_height_um"] / 1_000_000.0)) ** 2)
+    selected = []
+    for triangle in triangles:
+        points = tuple(vertex[0] for vertex in triangle[2])
+        centroid = tuple(sum(point[axis] for point in points) / 3.0 for axis in range(3))
+        dx, dy = centroid[0] - center[0], centroid[1] - center[1]
+        longitudinal = dx * tx + dy * ty
+        lateral = abs(-dy * tx + dx * ty)
+        vertical = centroid[2] - center[2]
+        if (abs(longitudinal) <= 1.5
+                and abs(lateral - expected_radius) <= 0.7
+                and abs(vertical - height_above_floor) <= 0.75):
+            selected.append(triangle)
+    print(f"[L47TunnelWallWindow] t={t:.3f} center_m=({center[0]:.3f},"
+          f"{center[1]:.3f},{center[2]:.3f}) expected_radius_m={expected_radius:.3f} "
+          f"longitudinal_half_width_m=1.500 vertical_half_width_m=0.750 "
+          f"triangles={len(selected)}", flush=True)
+    return selected
+
+
+def audit_shape(name, region, center):
+    metrics = SHAPE.analyze_triangles(region, center[:2], center[2],
+        crop_to_center=False, include_sides=True)
+    passed = (metrics["triangles"] > 0
+        and metrics["planar_area"] < SHAPE.PLANE_LIMIT_M2
+        and metrics["straight"] <= SHAPE.STRAIGHT_LIMIT_M
+        and metrics["corners"] == 0)
+    print(f"[LandmarkBuiltShape] region={name} triangles={metrics['triangles']} "
+        f"planar_patch_m2={metrics['planar_area']:.4f} "
+        f"straight_run_m={metrics['straight']:.4f} sharp_corners={metrics['corners']} "
+        f"corner_turn_max_deg={metrics['corner_turn_max']:.2f} "
+        f"thresholds=({SHAPE.PLANE_LIMIT_M2:.2f}m2,{SHAPE.STRAIGHT_LIMIT_M:.2f}m,"
+        f"{SHAPE.CORNER_TURN_LIMIT_DEG:.0f}deg) status={'PASS' if passed else 'FAIL'}",
+        flush=True)
+    if not passed:
+        raise RuntimeError(f"L37 built-shape thresholds failed in {name}")
+    return metrics
+
+
+entrance_metrics = audit_shape("cave-mouth", region_triangles(
+    portal, 5.0, ground_z + 0.8, ground_z + 4.5),
+    (portal[0], portal[1], ground_z))
+tunnel_mid = edge_point(edge, 0.64)
+tunnel_metrics = audit_shape("tunnel-wall-edge", tunnel_wall_triangles(
+    edge, 0.64, 1.2),
+    (tunnel_mid[0], tunnel_mid[1], tunnel_mid[2] + 1.2))
+dais_surface = PROFILE.sample_surface(buckets, dais[0], dais[1], True, 1.0,
+    preferred_height=dais_top - 0.4)
+if dais_surface is None:
+    raise RuntimeError("dais stamp has no upward-facing surface in the exported mesh")
+dais_rise = dais_surface[0] - floor_top
+print(f"[LandmarkDaisSurface] center_m=({dais[0]:.3f},{dais[1]:.3f}) "
+    f"floor_z_m={floor_top:.3f} top_z_m={dais_surface[0]:.3f} "
+    f"rise_m={dais_rise:.3f} minimum_m=1.000 "
+    f"status={'PASS' if dais_rise >= 1.0 else 'FAIL'}", flush=True)
+if dais_rise < 1.0:
+    raise RuntimeError(f"dais rises only {dais_rise:.3f} m above the chamber floor")
+dais_metrics = audit_shape("dais-platform", region_triangles(
+    dais, 1.7, floor_top + 0.6, dais_top + 0.4),
+    (dais[0], dais[1], dais_surface[0]))
+metrics_path = ARTIFACT_DIR / "landmark-shape-metrics.json"
+metrics_path.write_text(json.dumps({
+    "graph_vocabulary_version": layout["cavern_graph_vocabulary_version"],
+    "entry_m": entrance, "portal_m": portal, "entry_ground_m": ground_z,
+    "chamber_center_m": chamber, "chamber_floor_m": floor_top,
+    "tunnel_midpoint_m": tunnel_mid,
+    "dais_center_m": dais, "dais_top_m": dais_top,
+    "dais_surface_m": dais_surface[0], "dais_rise_m": dais_rise,
+    "l37_thresholds": {"planar_patch_m2_lt": SHAPE.PLANE_LIMIT_M2,
+        "straight_run_m_lte": SHAPE.STRAIGHT_LIMIT_M,
+        "corner_turn_deg_lt": SHAPE.CORNER_TURN_LIMIT_DEG},
+    "entrance_arch": entrance_metrics, "tunnel_wall": tunnel_metrics,
+    "dais_platform": dais_metrics,
+    "mesh_tiles": tile_count, "mesh_voxel_um": voxel_um,
+}, indent=2) + "\n", encoding="utf-8")
+print(f"[L48CaptureShapeMetrics] file={metrics_path} status=PASS", flush=True)

Standalone/Research/WorldAssemblerM3/Linux48/REPORT.md

@@ -0,0 +1,60 @@
+# Linux48 report
+
+## Whole-surface audit
+
+`AuditWholeSurfaceL48.py` scans every LOD0 triangle in the route corridor plus 3 m and the chamber box plus 3 m. It welds shared edges, compares geometric face normals, and scores area-weighted normal variation, high-angle edge density, maximum jumps and sliver area in 1 m cells. Connected hot cells become located clusters. A separate floor pass bins the full floor patch at 0.25 m along the route and 0.5 m across it, removes a local moving-mean trend, and checks ripple and adjacent steps. Thresholds use ground-facing native patches from the same export. JSON results and red-triangle XY maps are emitted.
+
+The detector has no general quadric residual or periodic-spectrum metric yet; terraces outside its floor patch rely on the normal-cluster measures. The control results are:
+
+| Mesh | Result | Evidence |
+|---|---|---|
+| L45 ramp | Expected fail | One normal cluster, 0.669 m² |
+| L46 entrance | Expected fail | 84.3 mm floor ripple; 159.1 mm largest step |
+| L47 wall-foot | Expected fail | One 5-cell cluster, 5.243 m², 42 severe edges; floor profile 34.5/57.6 mm ripple/step |
+| Plain native | Pass | No clusters; floor profile not present |
+| L47 smooth floor | Pass | 0.59 mm ripple; 1.15 mm largest step |
+| L48 candidate | **Fail** | Two clusters, 7.095 m² total, 65.5 severe edges, 303 flagged triangles; floor profile 34.5/57.6 mm |
+
+The L47 cluster is at approximately `x=[-5,0], y=[22,25], z=[-505,-504] m`. At 0.188 m above the floor its wall-band p95 dihedral is 54.6° with a 160.4° maximum; the selected floor rails did not reach this band. The complete control output is in `Saved/Linux/l48/whole-surface-audit.json`.
+
+## Teeth measurement and attempted fix
+
+The L47 measurements localize the teeth to the floor-cap/bore-wall junction. The post-stamp cap has a hard radial cutoff there, and the floor-adjacent re-carve also uses a non-SDF weighted blend. A re-carve fade alone left the teeth in the capture. The final trial replaced both cavern cap gates with a rounded max of the sloped-floor distance and radial bore distance, restoring the L47 re-carve weight. This reduced the apparent tooth height in the capture but did not clear the whole-surface gate; the final mesh has more flagged area and a second cluster. The hard cap edge is implicated, but the cause is not proven and this is not a validated fix.
+
+## Hashes and cost
+
+Clang and GCC builds used source stamp `05ea28750b2ee89aa61655c386c6d74a6841c4d071374cda03c73a89b5efb578`.
+
+Demo-off whole-view hashes match L47 exactly at W1 and W12:
+
+- floating-islands: density `598e9daaa1744ccb`, mesh `3114e0f4f6dbf734`, payload `c49c4e48bff74089`, topology `cadd4edd10d4d8ef`.
+- surface-world: density `7dc75e2c09302258`, mesh `0cb34c40ceec4ce3`, payload `9d23e8c46b515cf1`, topology `2962c9464991eedd`.
+
+Fast took 202.7 s. Medium took 637.6 s; the whole-surface stage took 161.8 s and failed on L48. Full and its five-pair cost comparison were not run because medium did not pass. All build and verification processes used `TMPDIR=Saved/Linux/l48/tmp`; no command wrote to `/tmp`.
+
+## Tiers and captures
+
+| Tier | Result |
+|---|---|
+| Fast | Pass, 202.7 s |
+| Medium | Fail, 637.6 s: L48 whole-surface gate |
+| Full | Not run: medium prerequisite failed |
+
+The five captures are `ground-entrance.jpg`, `entrance-looking-in.jpg`, `overview-entrance-and-chamber.jpg`, `inside-to-dais.jpg`, and `entrance-floor-low.jpg` in `captures/`. Flag maps: `flagged-regions-L47-wall-foot-control.svg` and `flagged-regions-L48-final.svg` (red flagged triangles, gray ROI, blue route).
+
+## Failed runs
+
+- The first fast invocation had no built binary; after the Clang/GCC builds, fast passed.
+- Bypassing the post-stamp floor cap failed entrance rails. Broad SmoothMin/cap-mask trials either closed the mouth or failed the built-shape check; one planar mouth patch measured 5.575 m².
+- Radial re-carve fades at 0.5 m and 1 m preserved the rails but left visible teeth and failed the whole-surface audit. Changing the support inset had no mesh effect.
+- The final rounded-cap trial passed the legacy rails and shape checks, but failed medium with the clusters above. The 15-trial budget is exhausted. No full tier, commit, push or stash was performed.
+
+## Orchestrator review (Claude)
+
+Split. **The whole-surface audit is the result of this round,** and it's committed here as a tool, not yet wired into
+the tiers. All three historical defects fail it (L45 ramp, L46 entrance, L47 wall foot) and plain native terrain
+passes. It also shows that L47's floor near the walls carries 34.5 mm ripple and a 57.6 mm step, which the three
+rails never sampled. **The Core change (rounded cap) did not pass** and is parked with the tier wiring on
+`wip/l48-surface-audit`. Wiring the gate now would turn medium red on HEAD, because the flagged demo still has the
+teeth. `assembler/world` stays on L47 Core. L49 builds the floor and bore as one SDF, with a filleted floor/wall
+corner, before stamps, instead of patching with a post-pass cap.

Standalone/Research/WorldAssemblerM3/Research15/REPORT.md

@@ -0,0 +1,52 @@
+# R15 — Whole-surface artifact audit
+
+## Key recommendations
+
+1. Scan every LOD0 triangle in the exported region using three area-weighted metrics over overlapping surface patches: **detrended geometric residual**, **smoothed normal variation**, and **periodic-band coherence**. Group adjacent anomalous patches into clusters before failing the mesh.
+2. Calibrate each scale against plain native terrain exported by the same mesher at 25 cm. Choose thresholds on held-out clean regions, then lock them. The gate should pass clean references and reject **each of the five pre-fix defect meshes**; if one slips through, improve the detector rather than tune the threshold around that mesh.
+3. Add the offline check after mesh export in `verify.py`’s medium capture-and-audit stage. Report cluster coordinates and scores, plus a false-color mesh or marked capture. Full tier already reuses passed medium evidence; fast would need a small LOD0 export to include this gate.
+
+## Metrics
+
+For triangle \(f=(v_0,v_1,v_2)\), compute area \(A_f=\frac12\|(v_1-v_0)\times(v_2-v_0)\|\) and **geometric** face normal \(n_f\) from its positions. Use these normals for shape checks; stored smooth MC normals can hide or exaggerate geometric changes.
+
+- **Detrended residual \(D_r\):** Fit a robust local quadric \(q_r\) over a geodesic neighborhood of radius \(r\), and measure the area-weighted RMS signed normal distance:
+  \[
+  D_r(P)=\sqrt{\frac{\sum_{v\in P}A_v\,\delta_r(v)^2}{\sum_{v\in P}A_v}},
+  \qquad \delta_r(v)=(v-q_r(v))\cdot n_r(v).
+  \]
+  Also retain the 95th percentile and largest adjacent residual jump in the patch. This measures relief and steps without assuming the surface is a floor or wall.
+
+- **Smoothed normal variation \(G_r\):** For adjacent faces \(f,g\), let \(\theta_{fg}=\cos^{-1}(n_f\cdot n_g)\) and \(d_{fg}\) be their geodesic center distance. Average normals over radius \(r\) first, then compute an area-weighted RMS of \(\theta_{fg}/d_{fg}\). This catches clustered creases and teeth while reducing single-triangle MC facet noise.
+
+- **Periodic coherence \(C_\lambda\):** Take a spectrum or autocorrelation of \(\delta_r\) across overlapping surface patches, in all local tangent directions. Score the strongest narrow-band energy relative to neighboring frequencies, and require phase coherence across adjacent patches. Search wavelengths from roughly two to 32 voxels (0.5–8 m); use multiple window sizes so the longest periods have enough support. This detects repeated ribs, washboard, and seams without relying on a chosen rail.
+
+Use all three as a small, interpretable suite. A raw dihedral histogram loses location and mixes ordinary MC facets with real creases. Discrete Gaussian curvature \(K_i=(2\pi-\sum_j\theta_{ij})/A_i^*\) and cotangent-Laplacian mean curvature are useful visual diagnostics, but raw one-ring estimates can be noisy on irregular MC triangles; prefer multi-scale smoothing or quadric fits. Triangle quality, such as \(2r/R\) or minimum altitude-to-edge ratio, is a useful secondary mesh-health check, not a primary artifact detector: ridges and staircases need not contain slivers.
+
+MC linearly interpolates grid-edge crossings; the output can miss undersampled details, contain poor-shaped facets, and fail to preserve sharp features. That makes universal angle, curvature, or triangle-quality cutoffs unreliable. [CGAL’s isosurfacing manual](https://cgal.github.io/9465/doc/Isosurfacing_3/index.html) and [Dietrich et al. on MC triangle quality](https://doi.org/10.1109/TVCG.2008.60) document these limitations. [MeshLab](https://github.com/cnr-isti-vclab/meshlab/blob/main/docs/dox/filter.dox) and [libigl](https://libigl.github.io/tutorial/) provide useful curvature and quality measures; libigl also documents quadric curvature fitting. The specific three-metric combination above is a recommendation inferred from those methods and VoxelForge’s regressions, not a published universal detector.
+
+## Reference and threshold method
+
+Build a reference set from native-only LOD0 meshes using the same 25 cm mesher, recipes, and export path. Match patches by surface orientation and broad shape class; compare patch scores, not individual triangle scores. Use a held-out clean set to set per-scale thresholds from the distribution of **per-export maximum cluster scores** (with block bootstrap or equivalent uncertainty), so scanning more surface does not silently increase false alarms.
+
+Threshold a connected cluster of adjacent anomalous patches, with a minimum footprint calibrated to the smallest visible defect. Ignore isolated single-triangle excursions unless a separate topology or fragment check catches them. Lock thresholds before scoring candidate fixes. Require every pre-fix defect mesh to fail individually and clean native references to pass. Keep all five bad meshes as fixtures; the native holdout guards against thresholds that simply reject rough terrain.
+
+## Defect-to-metric map
+
+| Known defect | Primary detector | Evidence and expected signal |
+|---|---|---|
+| **L35 wall ribs** | \(C_\lambda + G_r\) | The old wall has measured periods near 4.75 m in normals and 7.44 m in radius. A coherent band should cluster over the wall area. [L35 report](/home/jahni/VoxelM/Plugins/VoxelForge/Standalone/Research/WorldAssemblerM3/Linux35/REPORT.md:5) |
+| **L36 floor washboard** | \(C_\lambda + D_r\) | The old floor repeats at 1.438 m and 7.250 m, with 2.25–2.48 cm amplitude. Whole-surface patches include the tread that the wall-only scan missed. [L36 report](/home/jahni/VoxelM/Plugins/VoxelForge/Standalone/Research/WorldAssemblerM3/Linux36/REPORT.md:5) |
+| **L45 segmented ramp** | \(C_\lambda + D_r\) | Segment seams create repeated surface residuals along the ramp. The L45 control already fails its floor-ripple gate at 17.9 mm against a 15 mm limit. [L45 report](/home/jahni/VoxelM/Plugins/VoxelForge/Standalone/Research/WorldAssemblerM3/Linux45/REPORT.md:42) [L46 report](/home/jahni/VoxelM/Plugins/VoxelForge/Standalone/Research/WorldAssemblerM3/Linux46/REPORT.md:15) |
+| **L46 entrance staircase** | \(D_r\), including adjacent residual jump; \(G_r\) | The first 7 m measures 39.9–51.4 mm ripple and 81.8–82.9 mm residual steps. Detrending against the sloped floor separates the steps from the intended grade. [L47 report](/home/jahni/VoxelM/Plugins/VoxelForge/Standalone/Research/WorldAssemblerM3/Linux47/REPORT.md:5) |
+| **L47 wall-foot sawteeth** | \(G_r + D_r\), clustered | Scan all connected faces, including the wall foot. The existing three floor rails do not reach it. [L47 report](/home/jahni/VoxelM/Plugins/VoxelForge/Standalone/Research/WorldAssemblerM3/Linux47/REPORT.md:31) |
+
+This three-metric set should catch all five while passing smooth native terrain **if** the matched reference and control gate confirm the separation. The reports establish the defects and measured signals; they do not establish final mesh-wide thresholds.
+
+## Implementation and reporting
+
+The existing `.vfmesh` readers expose tile LOD, voxel size, positions, normals, indices, and masks. Extend the tile-streaming approach used by [the ring audit](/home/jahni/VoxelM/Plugins/VoxelForge/Standalone/Research/WorldAssemblerM3/Linux32/AuditRingTerraceL32.py) and [the tile scanner](/home/jahni/VoxelM/Plugins/VoxelForge/Standalone/Research/WorldAssemblerM3/Linux32/ScanMeshSurfaceTilesL32.py): analyze the whole target region at LOD0, include all face orientations, and weld duplicate vertices at same-LOD tile boundaries. Keep the audit offline on exported geometry.
+
+The natural insertion point is after `CaptureLandmarkL47.py` and passage mesh exports in [`run_captures_and_mesh_audits()`](/home/jahni/VoxelM/Plugins/VoxelForge/Standalone/Tools/verify/verify.py:651). That stage runs in medium and is reused by full; fast currently has no equivalent capture export. A fast-tier version would need a small targeted LOD0 export. [Voxel Tools’ smooth-terrain documentation](https://voxel-tools.readthedocs.io/en/latest/smooth_terrain/) notes that voxel LOD stitches can still show sharp steps, while [SAGA’s Terrain Ruggedness Index](https://saga-gis.sourceforge.io/saga_tool_doc/7.6.1/ta_morphometry_16.html) illustrates the value of neighborhood-scale terrain measures; its DEM assumptions do not cover arbitrary tunnel surfaces.
+
+For each cluster, report world-space centroid, bounds, geodesic area and extent, triangle IDs, strongest metric, scale or wavelength, value, threshold, LOD, voxel size, and mesh/layout identity. Emit JSON plus a compact CSV, and a false-color mesh or marked image with cluster IDs and a reproducible camera pose. MeshLab’s face-quality coloring is one available review path.