diff --git a/aiia_ditto_nodes.py b/aiia_ditto_nodes.py
index 030d4d5..1c3173c 100644
--- a/aiia_ditto_nodes.py
+++ b/aiia_ditto_nodes.py
@@ -791,24 +791,10 @@ class AIIA_DittoSampler:
         elif blink_mode == "Slow":
              blink_min = 120
              blink_max = 200
-        # Mouth Smoothing Logic [Fix v1.9.44]
-        # User requested Float Blend Factors (0.0 - 0.7)
-        # 0.0 = Raw, 0.5 = Normal Blend, 0.7 = Heavy Blend
-        if mouth_smoothing == "None (Raw)":
-            smo_k_d = 0.0 
-        elif mouth_smoothing == "Light":
-            smo_k_d = 0.3
-        elif mouth_smoothing == "Heavy":
-            smo_k_d = 0.7
-        elif mouth_smoothing == "Custom (Manual)":
-            # Respect the integer input
-            pass 
-        else: # Normal
-            smo_k_d = 0.5
-        # If "Normal" was default, we set 0.5. 
-        # Note: We are hijacking smo_k_d (int) to pass a float. 
-        # StreamSDK and Audio2Motion must be updated to handle this float.
-
+        # [Revert v1.9.46] Logic Separation
+        # smo_k_d: Controls Pose Smoothing Window (Audio2Motion). Uses direct INT input.
+        # mouth_smoothing: Controls Expression EMA Decay (MotionStitch). Passed via string.
+        # We no longer override smo_k_d based on mouth_smoothing.
         
         # Map emo string to int
         emo_map = {
@@ -823,6 +809,7 @@ class AIIA_DittoSampler:
             "delta_yaw": hd_rot_y,
             "delta_roll": hd_rot_r,
             "mouth_amp": mouth_amp,
+            "mouth_smoothing": mouth_smoothing, # [New] Pass string to trigger EMA logic in MotionStitch
         }
         
         
diff --git a/libs/Ditto/core/atomic_components/audio2motion.py b/libs/Ditto/core/atomic_components/audio2motion.py
index 7baa7b4..1067202 100644
--- a/libs/Ditto/core/atomic_components/audio2motion.py
+++ b/libs/Ditto/core/atomic_components/audio2motion.py
@@ -166,45 +166,20 @@ class Audio2Motion:
                 self.kp_cond = res_kp_seq[:, idx-1]
 
     def _smo(self, res_kp_seq, s, e):
-        # [Upgrade v1.9.44] Support Float Factors (0.0 - 1.0) for Blending
-        # Legacy: Integers > 1 mean Window Size.
-        factor = float(self.smo_k_d)
-        
-        if factor <= 0.01:      # None (Raw) -> 0.0
-             return res_kp_seq
-        
-        # New Logic: Weighted Blend
-        if factor < 1.0:
-            # Base Smoothing Layer: Window 5
-            k = 5
-        else:
-            # Legacy Logic: Use input as kernel size (must be int)
-            k = int(factor)
-            if k <= 1: return res_kp_seq
-        
-        # Perform Smoothing
+        # [Revert v1.9.46] Back to Legacy Integer Window Smoothing (Pose Smoothing)
+        # Note: 'mouth_smoothing' (EMA) is now handled in MotionStitch, separate from this.
+        k = int(self.smo_k_d)
+        if k <= 1:
+            return res_kp_seq
+            
         new_res_kp_seq = res_kp_seq.copy()
         n = res_kp_seq.shape[1]
         half_k = k // 2
-        
-        # Store smoothed result in temp array
-        smoothed_seq = res_kp_seq.copy()
-        
         for i in range(s, e):
             ss = max(0, i - half_k)
             ee = min(n, i + half_k + 1)
-            # Calculate Mean for this frame
-            smoothed_seq[:, i, :202] = np.mean(new_res_kp_seq[:, ss:ee, :202], axis=1)
-            
-        # Apply Blend if using factor mode
-        if factor < 1.0:
-            # Output = Raw * (1 - factor) + Smooth * factor
-            # 0.3 -> 70% Raw + 30% Smooth
-            # 0.7 -> 30% Raw + 70% Smooth
-            return res_kp_seq * (1.0 - factor) + smoothed_seq * factor
-        else:
-            # Legacy mode: Return smoothed directly
-            return smoothed_seq
+            res_kp_seq[:, i, :202] = np.mean(new_res_kp_seq[:, ss:ee, :202], axis=1)
+        return res_kp_seq
     
     def __call__(self, aud_cond, res_kp_seq=None, reset=False, step_len=None, seed=None):
         """
diff --git a/pyproject.toml b/pyproject.toml
index 630f146..323a8c4 100755
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
 [project]
 name = "aiia"
 description = "The Ultimate AI Audio/Video toolkit for ComfyUI. Features an enhanced Ditto (with optimizations that outperform official demos and other SOTA talking head models in lip-sync accuracy and natural motion), EchoMimic V3 & FLOAT, VibeVoice & CosyVoice 3.0 (Zero-Shot Voice Cloning), Multi-Role Podcast Generation, and a powerful Media Browser."
-version = "1.9.45"
+version = "1.9.46"
 license = {file = "LICENSE"}
 readme = "README.md"
 authors = [