diff --git a/dsv4/kernels/attention/fmha.py b/dsv4/kernels/attention/fmha.py
index a3476ce0..cba1b032 100644
--- a/dsv4/kernels/attention/fmha.py
+++ b/dsv4/kernels/attention/fmha.py
@@ -174,16 +174,12 @@ class FmhaKernel:
         tOrP_base = pv_thr.make_fragment_A(tP if not self.use_smem_p else sP)
         tOrP = tOrP_base[(None,None,None,0)]
         tCrP = pv_mma.make_fragment_A(sP)
-        # tOrP0: apply TMEM column offset for P0 (TMEM-P path only)
+        # tOrP0: PV A-operand with TMEM column offset for P0 (TMEM-P path).
         # The softmax warps store P at tmem_p0_offset columns. PV MMA must read
         # from the same offset. For SMEM-P, tOrP is bound to sP (not TMEM).
-        if not self.use_smem_p:
-            tOrP0 = cute.make_tensor(
-                tOrP.iterator + self.qk_acc_dtype.width // self.q_dtype.width * self.tmem_p0_offset,
-                tOrP.layout,
-            )
-        else:
-            tOrP0 = tOrP
+        # Must be defined unconditionally (CuTeDSL scoping: no if/else for variables).
+        p0_col_offset = self.qk_acc_dtype.width // self.q_dtype.width * max(self.tmem_p0_offset, 0)
+        tOrP0 = cute.make_tensor(tOrP.iterator + p0_col_offset, tOrP.layout)
 
         tCtO_fake = pv_mma.make_fragment_C(cute.append(pv_as, self.num_acc_stage))
         pipeline.pipeline_init_wait(cluster_shape_mn=cl_vmnk)