diff --git a/PROJECT_HANDOFF.md b/PROJECT_HANDOFF.md
index 32e4216..ab880c0 100644
--- a/PROJECT_HANDOFF.md
+++ b/PROJECT_HANDOFF.md
@@ -2,7 +2,7 @@
 
 > 更新时间：2026-06-18
 > 当前分支：`main`
-> 当前项目版本：`1.26.4`
+> 当前项目版本：`1.26.5`
 > 上一发布基线：`v1.25.0`
 > 当前状态：代码清理、识别改进和 UI 重构已完成，运行文件已同步到实际 ComfyUI 插件目录
 > 发布约束：只有用户明确要求时才提交或上传 GitHub
diff --git a/README.md b/README.md
index 8dbc186..acb9720 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
 # ComfyUI_FindModels
 
-Current version: `1.26.4`
+Current version: `1.26.5`
 
 `ComfyUI_FindModels` scans the workflow currently open in ComfyUI, identifies model
 references that are missing locally, suggests compatible installed models, and finds
diff --git a/model_finder.py b/model_finder.py
index e233703..a6dac3e 100644
--- a/model_finder.py
+++ b/model_finder.py
@@ -437,7 +437,7 @@ def match_reference(reference: Reference, installed: dict[str, list[str]]) -> di
         reference.category,
         CATEGORY_ALIASES["unknown"] if reference.category == "unknown" else (reference.category,),
     )
-    if reference.official_missing:
+    if reference.official_missing or reference.official_valid:
         categories = tuple(dict.fromkeys((*categories, *CATEGORY_ALIASES["unknown"], *installed.keys())))
     candidates = [(category, name) for category in categories for name in installed.get(category, [])]
     wanted_path = normalize_path(reference.name).lower()
diff --git a/pyproject.toml b/pyproject.toml
index bd70eb5..5767463 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "comfyui-findmodels"
-version = "1.26.4"
+version = "1.26.5"
 description = "Find and adapt missing models in the current ComfyUI workflow"
 readme = "README.md"
 requires-python = ">=3.10"
diff --git a/tests/test_model_finder.py b/tests/test_model_finder.py
index e7dae64..fa9c905 100644
--- a/tests/test_model_finder.py
+++ b/tests/test_model_finder.py
@@ -456,6 +456,30 @@ class ModelFinderTests(unittest.TestCase):
         self.assertEqual(result["models"][0]["status"], "adaptable")
         self.assertEqual(result["models"][0]["match"]["category"], "unet")
 
+    def test_confirmed_unet_selection_keeps_legacy_local_candidate(self):
+        model_name = "ltx-2.3-22b-distilled-1.1_transformer_only_fp8_scaled.safetensors"
+        payload = {
+            "nodes": [{
+                "id": 400,
+                "type": "UNet加载器",
+                "widgets": [{
+                    "name": "unet_name",
+                    "value": model_name,
+                    "model_selector": True,
+                    "model_value_valid": True,
+                }],
+            }]
+        }
+
+        result = analyze(
+            payload,
+            lambda category: [model_name] if category == "unet" else [],
+        )
+
+        self.assertEqual(result["summary"]["unresolved"], 1)
+        self.assertEqual(result["models"][0]["status"], "adaptable")
+        self.assertEqual(result["models"][0]["match"]["category"], "unet")
+
     def test_text_encoders_do_not_resolve_from_legacy_clip_folder(self):
         model_name = "qwen_3_06b_base.safetensors"
         payload = {
@@ -486,6 +510,32 @@ class ModelFinderTests(unittest.TestCase):
         self.assertEqual(result["models"][0]["status"], "adaptable")
         self.assertEqual(result["models"][0]["match"]["category"], "clip")
 
+    def test_confirmed_text_encoder_selection_keeps_legacy_clip_candidate(self):
+        model_name = "qwen_3_06b_base.safetensors"
+        payload = {
+            "nodes": [{
+                "id": 2,
+                "type": "CLIPLoader",
+                "widgets": [{
+                    "name": "clip_name",
+                    "value": model_name,
+                    "model_selector": True,
+                    "model_value_valid": True,
+                    "directory": "text_encoders",
+                }],
+            }],
+        }
+
+        result = analyze(
+            payload,
+            lambda category: [model_name] if category == "clip" else [],
+        )
+
+        self.assertEqual(result["summary"]["unresolved"], 1)
+        self.assertEqual(result["models"][0]["category"], "text_encoders")
+        self.assertEqual(result["models"][0]["status"], "adaptable")
+        self.assertEqual(result["models"][0]["match"]["category"], "clip")
+
     def test_scans_official_embedded_node_model_metadata(self):
         payload = {
             "nodes": [{