diff --git a/xtuner/v1/ray/dataflow/replay_buffer.py b/xtuner/v1/ray/dataflow/replay_buffer.py
index 8596ae7e7..e936e23ec 100644
--- a/xtuner/v1/ray/dataflow/replay_buffer.py
+++ b/xtuner/v1/ray/dataflow/replay_buffer.py
@@ -84,6 +84,8 @@ def determine_group_state(group_data_items: List[RLDataFlowItem]) -> RolloutStat
         return RolloutState.SKIPPED
     elif RolloutState.FAILED in group_states:
         return RolloutState.FAILED
+    elif RolloutState.EXPIRED in group_states:
+        return RolloutState.EXPIRED
     elif RolloutState.ABORTED in group_states:
         return RolloutState.ABORTED
     elif all(state == RolloutState.COMPLETED for state in group_states):
@@ -391,6 +393,34 @@ def _strip_rollout_payload_for_rerun(self, replay_meta: ReplayMeta, new_state: R
             ray.internal.free(old_obs_refs, local_only=False)
         replay_meta.observation_refs = [ray.put(RLEnvDataItem()) for _ in replay_meta.observation_ids]
         self._update_replay_meta_state(replay_meta, new_state)
+        if new_state == RolloutState.EXPIRED and self.tail_batch_trigger_size <= 0:
+            self._clear_multimodal_objectrefs(replay_meta)
+
+    def _clear_multimodal_objectrefs(self, replay_meta: ReplayMeta):
+        if replay_meta.action_ref is None:
+            return
+
+        data_item = ray.get(replay_meta.action_ref)
+        multimodal_info = getattr(data_item, "multimodal_train_info", None)
+        if not multimodal_info:
+            return
+
+        refs_to_free: List[ObjectRef] = []
+        changed = False
+        for key, value in list(multimodal_info.items()):
+            if isinstance(value, ObjectRef):
+                refs_to_free.append(value)
+                multimodal_info[key] = None
+                changed = True
+
+        if not changed:
+            return
+
+        old_action_ref = replay_meta.action_ref
+        replay_meta.action_ref = ray.put(data_item)
+        if isinstance(old_action_ref, ObjectRef):
+            refs_to_free.append(old_action_ref)
+        free_object_refs(refs_to_free)
 
     def add(self, grouped_dataitem: List[RLDataFlowItem]):
         """Adds a group of data items to the storage.
@@ -848,6 +878,7 @@ def _clear_meta_for_actions(self, replay_meta: ReplayMeta):
         This is the single source of truth for deleting an action.
         """
         action_id = replay_meta.action_id
+        root_id = replay_meta.root_id
 
         self._release_replay_meta_refs(replay_meta)
 
@@ -859,6 +890,12 @@ def _clear_meta_for_actions(self, replay_meta: ReplayMeta):
 
         self._actions.pop(action_id, None)
         self._action2observations.pop(action_id, None)
+        if root_id in self._root2actions:
+            self._root2actions[root_id] = [
+                stored_action_id for stored_action_id in self._root2actions[root_id] if stored_action_id != action_id
+            ]
+            if not self._root2actions[root_id]:
+                del self._root2actions[root_id]
         del replay_meta
 
     def _clear_meta_for_root(self, replay_meta: ReplayMeta):