fix(lab): stabilize recorded spatial playback

apps/control-station/src/components/laboratory/LaboratoryMetricEvidenceScene.tsx

@@ -96,6 +96,7 @@ export function LaboratoryMetricEvidenceScene({
   obstacles,
   rig,
   corridor,
+  occupiedVoxelSizeM,
   mode,
   label,
 }: {
@@ -103,6 +104,7 @@ export function LaboratoryMetricEvidenceScene({
   obstacles: readonly LaboratoryMetricObstacleVisual[];
   rig: LaboratoryMetricRigVisual;
   corridor: LaboratoryMetricCorridorVisual;
+  occupiedVoxelSizeM: number;
   mode: LaboratoryMetricSceneMode;
   label: string;
 }) {
@@ -205,10 +207,10 @@ export function LaboratoryMetricEvidenceScene({
         contextGeometry,
         new THREE.PointsMaterial({
           color: tokenColor(host, "--nodedc-text-muted", [147, 151, 159]),
-          size: 1.7,
+          size: 1.55,
           sizeAttenuation: false,
           transparent: true,
-          opacity: 0.34,
+          opacity: 0.58,
           depthWrite: false,
         }),
       ));
@@ -224,36 +226,62 @@ export function LaboratoryMetricEvidenceScene({
         continue;
       }
       const color = decisionColor(host, obstacle.decision);
-      const cellsGeometry = new THREE.BufferGeometry();
+      if (obstacle.state === "retained") {
-      cellsGeometry.setAttribute(
+        const geometry = new THREE.BoxGeometry(
-        "position",
+          occupiedVoxelSizeM * 0.82,
-        new THREE.BufferAttribute(positions(obstacle.cellCentersBodyXyzM), 3),
+          occupiedVoxelSizeM * 0.82,
-      );
+          occupiedVoxelSizeM * 0.82,
-      content.add(new THREE.Points(
+        );
-        cellsGeometry,
+        const material = new THREE.MeshBasicMaterial({
-        new THREE.PointsMaterial({
           color,
-          size: obstacle.state === "current" ? 4.8 : 5.2,
+          wireframe: true,
-          sizeAttenuation: false,
           transparent: true,
-          opacity: obstacle.state === "current" ? 0.94 : 0.78,
+          opacity: 0.34,
           depthWrite: false,
-        }),
+        });
-      ));
+        const voxels = new THREE.InstancedMesh(
-      const centroid = new THREE.Mesh(
+          geometry,
-        new THREE.SphereGeometry(0.1, 16, 12),
+          material,
-        new THREE.MeshBasicMaterial({
+          obstacle.cellCentersBodyXyzM.length,
-          color,
+        );
-          wireframe: obstacle.state === "retained",
+        const matrix = new THREE.Matrix4();
-        }),
+        obstacle.cellCentersBodyXyzM.forEach((point, index) => {
-      );
+          matrix.makeTranslation(...scenePoint(point));
-      centroid.position.fromArray(scenePoint(obstacle.centroidBodyXyzM));
+          voxels.setMatrixAt(index, matrix);
-      centroid.userData.evidenceId = obstacle.id;
+        });
-      content.add(centroid);
+        voxels.instanceMatrix.needsUpdate = true;
+        voxels.userData.evidenceId = obstacle.id;
+        content.add(voxels);
+      } else {
+        const cellsGeometry = new THREE.BufferGeometry();
+        cellsGeometry.setAttribute(
+          "position",
+          new THREE.BufferAttribute(positions(obstacle.cellCentersBodyXyzM), 3),
+        );
+        content.add(new THREE.Points(
+          cellsGeometry,
+          new THREE.PointsMaterial({
+            color,
+            size: 4.4,
+            sizeAttenuation: false,
+            transparent: true,
+            opacity: 0.96,
+            depthWrite: false,
+          }),
+        ));
+        const centroid = new THREE.Mesh(
+          new THREE.SphereGeometry(0.065, 12, 8),
+          new THREE.MeshBasicMaterial({ color }),
+        );
+        centroid.position.fromArray(scenePoint(obstacle.centroidBodyXyzM));
+        centroid.userData.evidenceId = obstacle.id;
+        content.add(centroid);
+      }
     }
 
   }, [
     obstacles,
+    occupiedVoxelSizeM,
     pointCloudBodyXyzM,
     showCurrentIncrement,
     showRollingMap,

apps/control-station/src/core/laboratory/m4ReplayThreat.ts

@@ -156,6 +156,10 @@ export interface M4ThreatTimeline {
   nominalRateHz: number;
   maxChunkFrames: number;
   pointSampleLimit: number;
+  maximumSourcePointsPerFrame: number;
+  pointDelivery: "exact-current-increment";
+  sourceRepresentationId: "registered-map-increment-v1";
+  occupiedVoxelSizeM: number;
   rig: M4ThreatVisualFrame["rig"];
   corridor: M4ThreatVisualFrame["corridor"];
 }
@@ -513,6 +517,11 @@ export async function fetchM4ThreatTimeline(
     "M4.6 recorded session",
   );
   exact(recorded.source_id, "RAVNOVES00", "M4.6 recorded source id");
+  exact(
+    recorded.representation_id,
+    "registered-map-increment-v1",
+    "M4.6 recorded representation",
+  );
   exact(
     recorded.synchronization,
     "host-arrival-best-effort",
@@ -546,6 +555,20 @@ export async function fetchM4ThreatTimeline(
     nominalRateHz: number(payload.nominal_rate_hz, "M4.6 timeline rate"),
     maxChunkFrames: integer(payload.max_chunk_frames, "M4.6 max chunk"),
     pointSampleLimit: integer(payload.point_sample_limit, "M4.6 point limit"),
+    maximumSourcePointsPerFrame: integer(
+      payload.maximum_source_points_per_frame,
+      "M4.6 maximum source points",
+    ),
+    pointDelivery: exact(
+      payload.point_delivery,
+      "exact-current-increment",
+      "M4.6 point delivery",
+    ),
+    sourceRepresentationId: "registered-map-increment-v1",
+    occupiedVoxelSizeM: number(
+      corridor.occupied_voxel_size_m,
+      "M4.6 occupied voxel size",
+    ),
     rig: {
       lengthM: number(rig.length_m, "M4.6 rig length"),
       widthM: number(rig.width_m, "M4.6 rig width"),

apps/control-station/src/styles/m4-replay-threat.css

@@ -12,6 +12,48 @@
   background: var(--nodedc-canvas);
 }
 
+.m4-replay-threat-visual__deck,
+.m4-replay-threat-visual__layer {
+  position: absolute;
+  inset: 0;
+  width: 100%;
+  height: 100%;
+  min-width: 0;
+  min-height: 0;
+}
+
+.m4-replay-threat-visual__layer {
+  visibility: hidden;
+  opacity: 0;
+  pointer-events: none;
+}
+
+.m4-replay-threat-visual__layer[data-active="true"] {
+  z-index: 1;
+  visibility: visible;
+  opacity: 1;
+  pointer-events: auto;
+}
+
+.m4-replay-threat-visual__buffering {
+  position: absolute;
+  z-index: 5;
+  top: 4.9rem;
+  left: 50%;
+  display: flex;
+  align-items: center;
+  gap: 0.4rem;
+  border: 1px solid var(--nodedc-glass-outline);
+  border-radius: var(--nodedc-radius-control-compact);
+  background: var(--nodedc-floating-surface);
+  padding: 0.42rem 0.58rem;
+  color: var(--nodedc-text-secondary);
+  font-size: 0.54rem;
+  backdrop-filter: blur(var(--nodedc-blur-control));
+  pointer-events: none;
+  transform: translateX(-50%);
+}
+
 .laboratory-metric-evidence-scene__viewport {
   position: absolute;
   inset: 0;

apps/control-station/src/workspaces/laboratory/M4ReplayThreatVisual.tsx

@@ -1,4 +1,4 @@
-import { useEffect, useMemo, useState } from "react";
+import { useEffect, useMemo, useRef, useState } from "react";
 import { Icon, IconButton } from "@nodedc/ui-react";
 
 import { ObservationTimeline } from "../../components/ObservationTimeline";
@@ -13,7 +13,10 @@ import {
   type RecordedEvidenceBox,
 } from "../../components/laboratory/RecordedEvidenceVideoScene";
 import { useRecordedEvidencePlayback } from "../../components/laboratory/useRecordedEvidencePlayback";
-import type { M4ThreatCameraProposal } from "../../core/laboratory/m4ReplayThreat";
+import type {
+  M4ThreatCameraProposal,
+  M4ThreatTimelineFrame,
+} from "../../core/laboratory/m4ReplayThreat";
 import { recordedObservationSources } from "../../core/observation/recordedObservationSources";
 import { replayObservationSession } from "../../core/observation/sessionArchive";
 import type { ObservationSourceDescriptor } from "../../core/runtime/contracts";
@@ -62,6 +65,7 @@ function SpatialState({ message: text }: { message: string }) {
 
 export function M4ReplayThreatVisual({ resultId }: { resultId: string }) {
   const [mode, setMode] = useState<M4ThreatViewMode>("video");
+  const [spatialMode, setSpatialMode] = useState<LaboratoryMetricSceneMode>("3d");
   const [expanded, setExpanded] = useState(false);
   const metadata = useM4ThreatTimelineMetadata(resultId);
   const playbackRange = useMemo(() => metadata.timeline ? ({
@@ -85,7 +89,7 @@ export function M4ReplayThreatVisual({ resultId }: { resultId: string }) {
 
   useEffect(() => {
     const timeline = metadata.timeline;
-    if (mode !== "video" || !timeline || videoSource) return;
+    if (!timeline || videoSource) return;
     const controller = new AbortController();
     setVideoLoading(true);
     setVideoError(null);
@@ -122,9 +126,19 @@ export function M4ReplayThreatVisual({ resultId }: { resultId: string }) {
         if (!controller.signal.aborted) setVideoLoading(false);
       });
     return () => controller.abort();
-  }, [metadata.timeline, mode, videoSource]);
+  }, [metadata.timeline, videoSource]);
 
-  const frame = timelineFrame.activeFrame;
+  const lastFrameRef = useRef<M4ThreatTimelineFrame | null>(null);
+  useEffect(() => {
+    lastFrameRef.current = null;
+  }, [resultId]);
+  if (timelineFrame.activeFrame) lastFrameRef.current = timelineFrame.activeFrame;
+  const frame = timelineFrame.activeFrame ?? lastFrameRef.current;
+  const displayingBufferedFrame = Boolean(
+    frame
+    && timelineFrame.activeSequence !== null
+    && frame.sequence !== timelineFrame.activeSequence,
+  );
   const activeBoxes = useMemo(() => boxes(frame?.cameraProposals ?? []), [frame]);
   const sceneObstacles = useMemo(() => frame?.metricObstacles.map((obstacle) => ({
     id: obstacle.componentId,
@@ -147,9 +161,16 @@ export function M4ReplayThreatVisual({ resultId }: { resultId: string }) {
   const seek = (seconds: number) => playbackController.seek(seconds);
   const handleModeChange = (next: M4ThreatViewMode) => {
     if (next === "camera") playbackController.setPlaying(false);
+    if (next === "3d" || next === "plan") setSpatialMode(next);
     setMode(next);
   };
 
+  useEffect(() => {
+    if (playbackController.playback.playing || !frame) return;
+    const image = new Image();
+    image.src = frame.cameraUrl;
+  }, [frame?.cameraUrl, playbackController.playback.playing]);
+
   const actions = (
     <div className="l3-visual-audit__actions">
       <div className="l3-visual-audit__pagination">
@@ -178,7 +199,9 @@ export function M4ReplayThreatVisual({ resultId }: { resultId: string }) {
         <strong>frame {frame.sequence + 1}/{metadata.timeline.frameCount}</strong>
         <small>
           +{(frame.sessionSeconds - metadata.timeline.timelineStartSeconds).toFixed(3)} с
-          · {playbackController.playback.playing ? "воспроизведение" : "пауза / seek"}
+          · {displayingBufferedFrame
+            ? "держим последний кадр, следующий в буфере"
+            : playbackController.playback.playing ? "воспроизведение" : "пауза / seek"}
         </small>
       </div>
       <div>
@@ -188,7 +211,7 @@ export function M4ReplayThreatVisual({ resultId }: { resultId: string }) {
         </strong>
         <small>
           {frame.spatialAvailable
-            ? `${frame.pointCloudSampleCount}/${frame.pointCloudSourceCount} LiDAR points`
+            ? `${frame.pointCloudSampleCount}/${frame.pointCloudSourceCount} exact lio_pcl increment`
             : "body frame / current increment unavailable"}
         </small>
       </div>
@@ -204,65 +227,97 @@ export function M4ReplayThreatVisual({ resultId }: { resultId: string }) {
     </div>
   ) : undefined;
 
+  const timeline = metadata.timeline;
   let content;
   if (metadata.error) {
     content = <SpatialState message={metadata.error} />;
-  } else if (mode === "video") {
+  } else if (!timeline) {
-    content = videoLoading
-      || metadata.loading
-      || Boolean(metadata.timeline && !videoSource && !videoError) ? (
-      <div className="l3-visual-audit__state" role="status">
-        <span className="busy-indicator" aria-hidden="true" />
-        <span>Открываем синхронное RIGHT-видео RAVNOVES00</span>
-      </div>
-    ) : videoError || !metadata.timeline || !videoSource ? (
-      <SpatialState message={videoError ?? "Видео-доказательство M4.6 недоступно."} />
-    ) : (
-      <RecordedEvidenceVideoScene
-        source={videoSource}
-        playback={playbackController.playback}
-        imageWidth={metadata.timeline.imageWidth}
-        imageHeight={metadata.timeline.imageHeight}
-        boxes={activeBoxes}
-        ariaLabel={`M4.6 recorded-realtime frame ${frame?.sequence ?? 0}: ${activeBoxes.length} proposals`}
-        interactive={false}
-      />
-    );
-  } else if (timelineFrame.error) {
-    content = <SpatialState message={timelineFrame.error} />;
-  } else if (timelineFrame.loading || !metadata.timeline || !frame) {
     content = (
       <div className="l3-visual-audit__state" role="status">
         <span className="busy-indicator" aria-hidden="true" />
-        <span>Буферизуем bounded spatial chunk M4.6</span>
+        <span>Открываем recorded-realtime timeline M4.6</span>
       </div>
     );
-  } else if (mode === "camera") {
-    content = (
-      <RecordedEvidenceImageScene
-        src={frame.cameraUrl}
-        imageWidth={metadata.timeline.imageWidth}
-        imageHeight={metadata.timeline.imageHeight}
-        boxes={activeBoxes}
-        ariaLabel={`M4.6 exact camera frame ${frame.sequence}: ${activeBoxes.length} proposals`}
-      />
-    );
-  } else if (!frame.spatialAvailable) {
-    content = <SpatialState message="На этом recorded-кадре нет квалифицированного body frame и current LiDAR increment." />;
   } else {
     content = (
-      <LaboratoryMetricEvidenceScene
+      <div className="m4-replay-threat-visual__deck">
-        pointCloudBodyXyzM={frame.pointCloudBodyXyzM}
+        <div
-        obstacles={sceneObstacles}
+          className="m4-replay-threat-visual__layer"
-        rig={metadata.timeline.rig}
+          data-active={mode === "video" ? "true" : undefined}
-        corridor={metadata.timeline.corridor}
+          aria-hidden={mode !== "video"}
-        mode={mode}
+        >
-        label="M4.6 recorded-realtime current increment and rolling occupancy"
+          {videoSource ? (
-      />
+            <RecordedEvidenceVideoScene
+              source={videoSource}
+              playback={playbackController.playback}
+              imageWidth={timeline.imageWidth}
+              imageHeight={timeline.imageHeight}
+              boxes={activeBoxes}
+              ariaLabel={`M4.6 recorded-realtime frame ${frame?.sequence ?? 0}: ${activeBoxes.length} proposals`}
+              interactive={false}
+            />
+          ) : videoError ? (
+            <SpatialState message={videoError} />
+          ) : (
+            <div className="l3-visual-audit__state" role="status">
+              <span className="busy-indicator" aria-hidden="true" />
+              <span>{videoLoading ? "Подготавливаем локальный видеобуфер" : "Открываем RIGHT-видео RAVNOVES00"}</span>
+            </div>
+          )}
+        </div>
+        <div
+          className="m4-replay-threat-visual__layer"
+          data-active={mode === "camera" ? "true" : undefined}
+          aria-hidden={mode !== "camera"}
+        >
+          {mode === "camera" && frame ? (
+            <RecordedEvidenceImageScene
+              src={frame.cameraUrl}
+              imageWidth={timeline.imageWidth}
+              imageHeight={timeline.imageHeight}
+              boxes={activeBoxes}
+              ariaLabel={`M4.6 exact camera frame ${frame.sequence}: ${activeBoxes.length} proposals`}
+            />
+          ) : null}
+        </div>
+        <div
+          className="m4-replay-threat-visual__layer"
+          data-active={mode === "3d" || mode === "plan" ? "true" : undefined}
+          aria-hidden={mode !== "3d" && mode !== "plan"}
+        >
+          {frame ? (
+            <LaboratoryMetricEvidenceScene
+              pointCloudBodyXyzM={frame.pointCloudBodyXyzM}
+              obstacles={sceneObstacles}
+              rig={timeline.rig}
+              corridor={timeline.corridor}
+              occupiedVoxelSizeM={timeline.occupiedVoxelSizeM}
+              mode={spatialMode}
+              label="M4.6 recorded-realtime current increment and rolling occupancy"
+            />
+          ) : null}
+        </div>
+        {timelineFrame.loading || displayingBufferedFrame ? (
+          <div className="m4-replay-threat-visual__buffering" role="status">
+            <span className="busy-indicator" aria-hidden="true" />
+            <span>Догружаем следующий spatial-буфер без сброса сцены</span>
+          </div>
+        ) : null}
+        {timelineFrame.error ? (
+          <div className="m4-replay-threat-visual__buffering" role="alert">
+            <Icon name="alert" size={16} />
+            <span>{timelineFrame.error}</span>
+          </div>
+        ) : null}
+        {frame && !frame.spatialAvailable && (mode === "3d" || mode === "plan") ? (
+          <div className="m4-replay-threat-visual__buffering" role="status">
+            На этом кадре нет квалифицированного body frame; сцена сохранена.
+          </div>
+        ) : null}
+      </div>
     );
   }
 
-  const timeline = metadata.timeline;
   const transport = timeline ? (
     <ObservationTimeline
       className="m4-replay-threat-visual__timeline"

apps/control-station/src/workspaces/laboratory/useM4ThreatTimeline.ts

@@ -9,13 +9,26 @@ import {
   type M4ThreatTimelineFrame,
 } from "../../core/laboratory/m4ReplayThreat";
 
-const REQUESTED_CHUNK_FRAMES = 12;
+const REQUESTED_CHUNK_FRAMES = 24;
-const RETAINED_CHUNK_COUNT = 4;
+const RETAINED_CHUNK_COUNT = 8;
+const PREFETCH_CHUNKS_AHEAD = 2;
 
 function errorMessage(error: unknown, fallback: string): string {
   return error instanceof Error && error.message.trim() ? error.message : fallback;
 }
 
+export function m4ThreatChunkWindowStarts(
+  activeChunkStart: number,
+  chunkSize: number,
+  frameCount: number,
+): readonly number[] {
+  if (chunkSize < 1 || frameCount < 1) return [];
+  return Array.from(
+    { length: PREFETCH_CHUNKS_AHEAD + 2 },
+    (_, index) => activeChunkStart + (index - 1) * chunkSize,
+  ).filter((start) => start >= 0 && start < frameCount);
+}
+
 export function useM4ThreatTimelineMetadata(resultId: string) {
   const [timeline, setTimeline] = useState<M4ThreatTimeline | null>(null);
   const [error, setError] = useState<string | null>(null);
@@ -52,14 +65,22 @@ export function useM4ThreatTimelineFrame({
     () => new Map(),
   );
   const [error, setError] = useState<string | null>(null);
-  const inFlight = useRef(new Set<number>());
+  const inFlight = useRef(new Map<number, AbortController>());
   const chunksRef = useRef(chunks);
+  const activeChunkStartRef = useRef<number | null>(null);
   chunksRef.current = chunks;
 
   useEffect(() => {
-    setChunks(new Map());
+    for (const controller of inFlight.current.values()) controller.abort();
-    setError(null);
     inFlight.current.clear();
+    const empty = new Map<number, M4ThreatTimelineChunk>();
+    chunksRef.current = empty;
+    setChunks(empty);
+    setError(null);
+    return () => {
+      for (const controller of inFlight.current.values()) controller.abort();
+      inFlight.current.clear();
+    };
   }, [resultId, timeline]);
 
   const activeSequence = useMemo(
@@ -75,18 +96,19 @@ export function useM4ThreatTimelineFrame({
   const activeChunkStart = activeSequence === null
     ? null
     : Math.floor(activeSequence / chunkSize) * chunkSize;
+  activeChunkStartRef.current = activeChunkStart;
 
   useEffect(() => {
     if (!timeline || activeChunkStart === null) return;
-    const starts = [activeChunkStart, activeChunkStart + chunkSize].filter(
+    const starts = m4ThreatChunkWindowStarts(
-      (start) => start < timeline.frameCount,
+      activeChunkStart,
+      chunkSize,
+      timeline.frameCount,
     );
-    const controllers: AbortController[] = [];
     for (const start of starts) {
       if (chunksRef.current.has(start) || inFlight.current.has(start)) continue;
       const controller = new AbortController();
-      controllers.push(controller);
+      inFlight.current.set(start, controller);
-      inFlight.current.add(start);
       void fetchM4ThreatTimelineChunk(resultId, start, chunkSize, {
         signal: controller.signal,
       })
@@ -95,23 +117,27 @@ export function useM4ThreatTimelineFrame({
           setChunks((current) => {
             const next = new Map(current);
             next.set(start, chunk);
+            const center = activeChunkStartRef.current ?? start;
             const retained = [...next.keys()]
               .sort((left, right) => (
-                Math.abs(left - activeChunkStart) - Math.abs(right - activeChunkStart)
+                Math.abs(left - center) - Math.abs(right - center)
               ))
               .slice(0, RETAINED_CHUNK_COUNT);
-            return new Map(retained.map((key) => [key, next.get(key)!]));
+            const bounded = new Map(retained.map((key) => [key, next.get(key)!]));
+            chunksRef.current = bounded;
+            return bounded;
           });
-          if (start === activeChunkStart) setError(null);
+          if (start === activeChunkStartRef.current) setError(null);
         })
         .catch((caught: unknown) => {
-          if (!controller.signal.aborted && start === activeChunkStart) {
+          if (!controller.signal.aborted && start === activeChunkStartRef.current) {
             setError(errorMessage(caught, "3D chunk M4.6 недоступен."));
           }
         })
-        .finally(() => inFlight.current.delete(start));
+        .finally(() => {
+          if (inFlight.current.get(start) === controller) inFlight.current.delete(start);
+        });
     }
-    return () => controllers.forEach((controller) => controller.abort());
   }, [activeChunkStart, chunkSize, resultId, timeline]);
 
   const activeFrame: M4ThreatTimelineFrame | null = useMemo(() => {

apps/control-station/test/m4ReplayThreat.test.mjs

@@ -12,6 +12,7 @@ let fetchM4ThreatTimelineChunk;
 let selectM4ThreatTimelineFrame;
 let selectM4ThreatTimelineSequence;
 let advanceRecordedEvidencePlayback;
+let m4ThreatChunkWindowStarts;
 
 const resultId = `m4-threat-replay-${"a".repeat(64)}`;
 
@@ -32,6 +33,9 @@ before(async () => {
   ({ advanceRecordedEvidencePlayback } = await server.ssrLoadModule(
     "/src/components/laboratory/useRecordedEvidencePlayback.ts",
   ));
+  ({ m4ThreatChunkWindowStarts } = await server.ssrLoadModule(
+    "/src/workspaces/laboratory/useM4ThreatTimeline.ts",
+  ));
 });
 
 after(async () => {
@@ -243,6 +247,7 @@ test("M4.6 timeline keeps only a compact index and decodes bounded spatial chunk
     recorded_source: {
       session_id: "20260720T065719Z_viewer_live",
       source_id: "RAVNOVES00",
+      representation_id: "registered-map-increment-v1",
       synchronization: "host-arrival-best-effort",
     },
       image_width: 800,
@@ -254,18 +259,24 @@ test("M4.6 timeline keeps only a compact index and decodes bounded spatial chunk
       nominal_frame_interval_seconds: 0.1,
       nominal_rate_hz: 10,
       max_chunk_frames: 24,
-      point_sample_limit: 2000,
+      point_sample_limit: 4096,
+      maximum_source_points_per_frame: 3092,
+      point_delivery: "exact-current-increment",
       rig: { length_m: 1, width_m: 0.6, nominal_sensor_height_m: 1.25 },
       corridor: {
         forward_length_m: 8,
         rear_margin_m: 0.5,
         half_width_m: 0.5,
+        occupied_voxel_size_m: 0.45,
         prediction_horizon_seconds: 5,
       },
       authority: "replay-simulated",
     }), { status: 200 }),
   });
   assert.equal(timeline.frameTimesNs.length, 4489);
+  assert.equal(timeline.pointDelivery, "exact-current-increment");
+  assert.equal(timeline.maximumSourcePointsPerFrame, 3092);
+  assert.equal(timeline.occupiedVoxelSizeM, 0.45);
   assert.equal(selectM4ThreatTimelineSequence(timeline.frameTimesNs, 35.50), 1);
 
   const chunk = await fetchM4ThreatTimelineChunk(resultId, 0, 2, {
@@ -289,6 +300,11 @@ test("M4.6 timeline keeps only a compact index and decodes bounded spatial chunk
   assert.equal(selectM4ThreatTimelineFrame(chunk.frames, 35.50).sequence, 1);
 });
 
+test("M4.6 spatial buffering keeps previous, active and two future chunks", () => {
+  assert.deepEqual(m4ThreatChunkWindowStarts(48, 24, 4489), [24, 48, 72, 96]);
+  assert.deepEqual(m4ThreatChunkWindowStarts(0, 24, 4489), [0, 24, 48]);
+});
+
 test("recorded evidence clock advances by selected rate and stops at the sealed end", () => {
   const range = { startSeconds: 10, endSeconds: 20 };
   assert.deepEqual(
@@ -319,6 +335,8 @@ test("M4.6 viewer reuses shared camera, video and metric evidence renderers", as
   assert.match(visual, /<RecordedEvidenceVideoScene/);
   assert.match(visual, /<RecordedEvidenceImageScene/);
   assert.match(visual, /<LaboratoryMetricEvidenceScene/);
+  assert.match(visual, /m4-replay-threat-visual__deck/);
+  assert.match(visual, /lastFrameRef/);
   assert.match(visual, /<ObservationTimeline/);
   assert.match(visual, /useM4ThreatTimelineFrame/);
   assert.match(visual, /label: "VIDEO"/);

scripts/build_m4_worker_shadow_artifact.py

@@ -25,7 +25,7 @@ WHEEL_NAME = "nodedc_mission_core-0.1.0-py3-none-any.whl"
 RUNNER_NAME = RUNNER.name
 PATCH_ID = re.compile(r"^[A-Za-z0-9._-]{1,96}$")
 EXPECTED_BASELINE_SHA256 = "ea10359339e6cce31b5780a2710299771cab7cc0c1c2a2b56a1621f786b31fa8"
-EXPECTED_WHEEL_SHA256 = "215411719c6af4b042d0019f7f73b1885e2c2db47f87eb3617c653d7e751f19e"
+EXPECTED_WHEEL_SHA256 = "9d203362cebb383fd5394e60dbcaa4cea6d332de9c0aa411cbc23825a4e53868"
 PAYLOAD_FILES = (
     RUNNER_NAME,
     WHEEL_NAME,

src/k1link/perception/geometry.py

@@ -276,6 +276,13 @@ class RecordedGeometryStore:
         points.setflags(write=False)
         return points
 
+    @property
+    def maximum_current_point_count(self) -> int:
+        """Return the immutable source-pack upper bound for one recorded increment."""
+
+        counts = np.diff(np.asarray(self._source["cloud_offsets"], dtype=np.int64))
+        return int(counts.max(initial=0))
+
     def pose_values_for_frame(
         self,
         frame_id: str,
@@ -946,7 +953,10 @@ def _camera_unavailable_observation(
     )
 
 
-def _load_npz(path: Path, label: str) -> dict[str, npt.NDArray[np.generic]]:
+def _load_npz(
+    path: Path,
+    label: str,
+) -> dict[str, npt.NDArray[np.generic]]:
     try:
         with np.load(path, allow_pickle=False) as archive:
             return {name: np.asarray(archive[name]) for name in archive.files}

src/k1link/perception/threat_timeline.py

@@ -14,6 +14,7 @@ from threading import RLock
 from typing import Final
 
 from .geometry import RecordedGeometryStore
+from .recorded_source import RECORDED_REPRESENTATION_ID
 from .spatial_evidence import (
     project_metric_obstacles_to_body,
     sample_points_in_body_frame,
@@ -32,7 +33,7 @@ from .threat_replay import (
 RECORDED_SPATIAL_TIMELINE_SCHEMA: Final = "missioncore.recorded-spatial-evidence-timeline/v1"
 RECORDED_SPATIAL_CHUNK_SCHEMA: Final = "missioncore.recorded-spatial-evidence-chunk/v1"
 RECORDED_SPATIAL_FRAME_SCHEMA: Final = "missioncore.recorded-spatial-evidence-frame/v1"
-RECORDED_SPATIAL_POINT_LIMIT: Final = 2_000
+RECORDED_SPATIAL_POINT_LIMIT: Final = 4_096
 RECORDED_SPATIAL_MAX_CHUNK_FRAMES: Final = 24
 _EXPECTED_FRAME_COUNT: Final = 4_489
 _SOURCE_TIME = re.compile(rb'"source_time_ns":([0-9]+)')
@@ -80,6 +81,10 @@ class RecordedThreatTimeline:
             or self.store.profile.frame_count != _EXPECTED_FRAME_COUNT
         ):
             raise RecordedThreatTimelineError("recorded timeline geometry identity changed")
+        if self.store.maximum_current_point_count > RECORDED_SPATIAL_POINT_LIMIT:
+            raise RecordedThreatTimelineError(
+                "recorded timeline exact point delivery exceeds its declared bound"
+            )
         self.body_frames = RecordedReplayBodyFrameResolver(
             self.store,
             profile=self.profile.body_frame,
@@ -99,6 +104,7 @@ class RecordedThreatTimeline:
             "recorded_source": {
                 "session_id": self.profile.session_id,
                 "source_id": self.profile.source_id,
+                "representation_id": RECORDED_REPRESENTATION_ID,
                 "synchronization": "host-arrival-best-effort",
             },
             "frame_count": len(times),
@@ -109,6 +115,8 @@ class RecordedThreatTimeline:
             "nominal_rate_hz": 1 / nominal_interval,
             "max_chunk_frames": RECORDED_SPATIAL_MAX_CHUNK_FRAMES,
             "point_sample_limit": RECORDED_SPATIAL_POINT_LIMIT,
+            "point_delivery": "exact-current-increment",
+            "maximum_source_points_per_frame": self.store.maximum_current_point_count,
             "image_width": 800,
             "image_height": 600,
             "rig": {
@@ -119,6 +127,7 @@ class RecordedThreatTimeline:
             "corridor": {
                 "forward_length_m": self.profile.corridor.forward_length_m,
                 "rear_margin_m": self.profile.corridor.rear_margin_m,
+                "occupied_voxel_size_m": self.profile.corridor.occupied_voxel_size_m,
                 "half_width_m": (
                     self.profile.rig.body_width_m / 2 + self.profile.corridor.lateral_clearance_m
                 ),

src/k1link/web/app.py

@@ -13,6 +13,7 @@ from fastapi.exceptions import RequestValidationError
 from fastapi.responses import JSONResponse
 from fastapi.staticfiles import StaticFiles
 from pydantic import ValidationError
+from starlette.middleware.gzip import GZipMiddleware
 
 from k1link import __version__
 from k1link.artifact_gateway import configured_artifact_gateway
@@ -414,6 +415,7 @@ app = FastAPI(
     openapi_url="/api/openapi.json",
     lifespan=app_lifespan,
 )
+app.add_middleware(GZipMiddleware, minimum_size=1_024, compresslevel=5)
 
 
 @app.exception_handler(RequestValidationError)

tests/test_m4_threat_replay_result.py

@@ -130,6 +130,9 @@ def test_m4_6_timeline_is_indexed_and_spatial_evidence_is_chunked() -> None:
     assert timeline["frame_count"] == 4489
     assert len(timeline["frame_times_ns"]) == 4489
     assert timeline["recorded_source"]["session_id"] == "20260720T065719Z_viewer_live"
+    assert timeline["recorded_source"]["representation_id"] == "registered-map-increment-v1"
+    assert timeline["point_delivery"] == "exact-current-increment"
+    assert timeline["maximum_source_points_per_frame"] == 3092
     assert "frames" not in timeline
 
     chunk = get_chunk(RESULT_ID, start=1880, count=12)
@@ -141,7 +144,8 @@ def test_m4_6_timeline_is_indexed_and_spatial_evidence_is_chunked() -> None:
     assert first["schema_version"] == "missioncore.recorded-spatial-evidence-frame/v1"
     assert first["spatial_available"] is True
     assert first["point_cloud_layer"] == "current-increment"
-    assert 0 < first["point_cloud_sample_count"] <= 2000
+    assert first["point_cloud_sample_count"] == first["point_cloud_source_count"]
+    assert 0 < first["point_cloud_sample_count"] <= 4096
     assert first["camera_url"].endswith(f"/{RESULT_ID}/timeline/frames/1880/camera")