feat(perception): integrate calibrated operator pipeline

Add calibrated K1 projection, recorded and near-live perception qualification, unified Rerun operator layers, bounded replay admission, audited viewer controls, worker experiments, and lab evidence.

apps/control-station/src/components/ObservationSessionSelect.tsx

@@ -52,18 +52,17 @@ const preparationLabel: Record<ObservationPreparationPhase, string> = {
   requesting: "Запрашиваем подготовку",
   queued: "В очереди",
   validating: "Проверяем запись",
-  exporting: "Готовим облако точек",
+  exporting: "Готовим операторскую сцену",
   finalizing: "Завершаем подготовку",
   failed: "Подготовка не выполнена",
   cancelled: "Подготовка отменена",
 };
 
-function progressCopy(
-  phase: ObservationPreparationPhase,
-  progress: number | null,
-): string {
-  const label = preparationLabel[phase];
-  return progress === null ? label : `${label} · ${Math.round(progress * 100)}%`;
+function progressCopy(phase: ObservationPreparationPhase): string {
+  // Backend progress values are phase markers and heartbeat revisions, not a
+  // measured fraction of bytes or frames. Presenting 0.5 as "50%" made a
+  // healthy long export look stalled, especially after a browser reload.
+  return preparationLabel[phase];
 }
 
 function formatStartedAt(value: string): string {
@@ -126,7 +125,7 @@ export function ObservationSessionSelect({
     onReplaySettled,
   });
   const triggerCopy = sessions.replayProgress
-    ? progressCopy(sessions.replayProgress.phase, sessions.replayProgress.progress)
+    ? progressCopy(sessions.replayProgress.phase)
     : sessions.state === "loading"
       ? "Загружаем сессии…"
       : "Сохранённые сессии";