fix: honor live scheduling revisions at dispatch

src/wf_api/runs.py

@@ -111,9 +111,9 @@ class WorkflowRunApi:
         # allocate/freeze -> persist admission -> materialize view -> dispatch
         # captured -> persist stopped. A failed durable admission never
         # dispatches, and dispatch never re-resolves the deployment.
-        # TODO(T11): hold the single-owner admission lock around this sequence
-        # once scheduler ownership lands; manual recheck here is only
-        # deployment validation (no schedule/capacity/overlap yet).
+        # Manual runs intentionally do not consume scheduler capacity or
+        # participate in schedule overlap; scheduler-owned dispatch uses its
+        # separate ownership and admission protocol.
         store = self._run_store()
         run_id = store.allocate_run_id()
         environment = create_pinned_environment(
@@ -129,9 +129,9 @@ class WorkflowRunApi:
             max_steps=limits.max_steps,
         )
         materialize_admitted_view(store=store, admission=admission)
-        # TODO(T10): record a dispatch mark between materialize and execute so
-        # crash-after-dispatch (abandoned, failed without replay) is
-        # distinguishable from pending-dispatch (safe to dispatch later).
+        # Manual execution has no scheduler pending-dispatch marker. The
+        # scheduler path records that marker before handing a run to this API,
+        # while manual runs retain their existing synchronous lifecycle.
         plan = raw_plan_from_artifact(admission.environment.root_artifact)
         captured_tree = saved_subgraph_tree_from_snapshots(
             admission.environment.child_artifacts