diff --git a/qwen_integration.py b/qwen_integration.py
index c1bc317..d0fdcc5 100644
--- a/qwen_integration.py
+++ b/qwen_integration.py
@@ -120,6 +120,9 @@ class QwenMemoryConfig:
     text_memory_threshold: float = 0.40
     text_memory_write_threshold: float = 0.5
     text_memory_replace_threshold: float = 0.35
+    # A slightly more permissive boundary for recognizing a same-attribute
+    # update. Unrelated fragments still remain independent V2 records.
+    text_memory_update_overlap_threshold: float = 0.30
     text_memory_key_tokens: int = 128
     text_memory_overlap_threshold: float = 0.22
     automatic_memory: bool = False
@@ -197,6 +200,8 @@ class QwenMemoryConfig:
             raise ValueError("text_memory_write_threshold must be between 0 and 1")
         if not -1.0 <= self.text_memory_replace_threshold <= 1.0:
             raise ValueError("text_memory_replace_threshold must be between -1 and 1")
+        if not -1.0 <= self.text_memory_update_overlap_threshold <= 1.0:
+            raise ValueError("text_memory_update_overlap_threshold must be between -1 and 1")
         if self.text_memory_key_tokens < 1:
             raise ValueError("text_memory_key_tokens must be positive")
         if not 0.0 <= self.text_memory_overlap_threshold <= 1.0:
@@ -284,6 +289,9 @@ def load_memory_config(adapter_dir: str | Path) -> QwenMemoryConfig:
         text_memory_threshold=float(saved.get("text_memory_threshold", 0.40)),
         text_memory_write_threshold=float(saved.get("text_memory_write_threshold", 0.5)),
         text_memory_replace_threshold=float(saved.get("text_memory_replace_threshold", 0.35)),
+        text_memory_update_overlap_threshold=float(
+            saved.get("text_memory_update_overlap_threshold", 0.30)
+        ),
         text_memory_key_tokens=int(saved.get("text_memory_key_tokens", 128)),
         text_memory_overlap_threshold=float(saved.get("text_memory_overlap_threshold", 0.22)),
         automatic_memory=bool(saved.get("automatic_memory", False)),
@@ -1684,7 +1692,7 @@ class QwenDynamicMemoryModel(nn.Module):
             else:
                 best_similarity = torch.tensor(-1.0, device=key.device)
                 best_slot = torch.tensor(0, dtype=torch.long, device=key.device)
-            if float(best_similarity) >= self.memory_config.text_memory_replace_threshold:
+            if float(best_similarity) >= self.memory_config.text_memory_update_overlap_threshold:
                 slot = int(best_slot.item())
             else:
                 free_slots = (~valid_slots).nonzero(as_tuple=False).flatten()
@@ -1717,7 +1725,8 @@ class QwenDynamicMemoryModel(nn.Module):
                 # duplicate/update of an existing fact.
                 v2_slot_index = (
                     slot
-                    if float(best_similarity) >= self.memory_config.text_memory_replace_threshold
+                    if float(best_similarity)
+                    >= self.memory_config.text_memory_update_overlap_threshold
                     else -1
                 )
                 if v2_slot_index >= 0 and self.memory_os_v2 is not None: