feat(planning): consolidate recorded-route localization and spatial scene

Preserve the completed teach-and-repeat laboratory stage: reference preparation, cascaded acquisition, local tracking and recovery, recording lifecycle, replay qualification, and persistent Rerun scene controls. Document the open grid-picking regression and Rerun upgrade contract. No autonomous driving or loop-closure optimization is claimed.

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

@@ -1066,7 +1066,7 @@ test("recording preparation never presents phase heartbeats as fake percentages"
 
 test("unified recorded AI view keeps the raw camera mounted but does not cover overlays", async () => {
   const workspaceSource = await readFile(
-    new URL("../src/workspaces/Workspaces.tsx", import.meta.url),
+    new URL("../src/workspaces/spatial/SpatialWorkspace.tsx", import.meta.url),
     "utf8",
   );