diff --git a/vllm/model_executor/layers/fla/ops/fused_recurrent.py b/vllm/model_executor/layers/fla/ops/fused_recurrent.py
index 17b59b5bce7..920efa44417 100644
--- a/vllm/model_executor/layers/fla/ops/fused_recurrent.py
+++ b/vllm/model_executor/layers/fla/ops/fused_recurrent.py
@@ -106,12 +106,12 @@ def fused_recurrent_gated_delta_rule_fwd_kernel(
                 i_t = tl.load(num_accepted_tokens + i_n).to(tl.int64) - 1
             else:
                 i_t = 0
-            # Load state index and check for PAD_SLOT_ID (-1)
+            # Load state index and check for invalid entries
             state_idx = tl.load(ssm_state_indices + i_n * stride_indices_seq + i_t).to(
                 tl.int64
             )
-            # Skip if state index is invalid (PAD_SLOT_ID = -1)
-            if state_idx < 0:
+            # Skip if state index is invalid (NULL_BLOCK_ID=0)
+            if state_idx <= 0:
                 return
             p_h0 = h0 + state_idx * stride_init_state_token
         else:
@@ -150,12 +150,12 @@ def fused_recurrent_gated_delta_rule_fwd_kernel(
 
         # keep the states for multi-query tokens
         if INPLACE_FINAL_STATE:
-            # Load state index and check for PAD_SLOT_ID (-1)
+            # Load state index and check for invalid entries
             final_state_idx = tl.load(
                 ssm_state_indices + i_n * stride_indices_seq + i_t
             ).to(tl.int64)
-            # Only store if state index is valid (not PAD_SLOT_ID)
-            if final_state_idx >= 0:
+            # Only store if state index is valid (not NULL_BLOCK_ID=0)
+            if final_state_idx > 0:
                 p_ht = ht + final_state_idx * stride_final_state_token
                 p_ht = p_ht + i_hv * V * K + o_v[:, None] * K + o_k[None, :]
                 tl.store(p_ht, b_h.to(p_ht.dtype.element_ty), mask=mask_h)
@@ -292,7 +292,8 @@ def fused_recurrent_gated_delta_rule_packed_decode_kernel(
     state_idx = tl.load(ssm_state_indices + i_n * stride_indices_seq).to(tl.int64)
     p_o = o + (i_n * HV + i_hv) * V + o_v
 
-    if state_idx < 0:
+    # Skip if state index is invalid (NULL_BLOCK_ID=0)
+    if state_idx <= 0:
         zero = tl.zeros([BV], dtype=tl.float32).to(p_o.dtype.element_ty)
         tl.store(p_o, zero, mask=mask_v)
         return
diff --git a/vllm/model_executor/layers/fla/ops/fused_sigmoid_gating.py b/vllm/model_executor/layers/fla/ops/fused_sigmoid_gating.py
index 07ed185413f..7e0c7e05cab 100644
--- a/vllm/model_executor/layers/fla/ops/fused_sigmoid_gating.py
+++ b/vllm/model_executor/layers/fla/ops/fused_sigmoid_gating.py
@@ -106,12 +106,12 @@ def fused_sigmoid_gating_delta_rule_update_kernel(
                 i_t = tl.load(num_accepted_tokens + i_n).to(tl.int64) - 1
             else:
                 i_t = 0
-            # Load state index and check for PAD_SLOT_ID (-1)
+            # Load state index and check for invalid entries
             state_idx = tl.load(ssm_state_indices + i_n * stride_indices_seq + i_t).to(
                 tl.int64
             )
-            # Skip if state index is invalid (PAD_SLOT_ID = -1)
-            if state_idx < 0:
+            # Skip if state index is invalid (NULL_BLOCK_ID=0)
+            if state_idx <= 0:
                 return
             p_h0 = h0 + state_idx * stride_init_state_token
         else:
@@ -155,12 +155,12 @@ def fused_sigmoid_gating_delta_rule_update_kernel(
 
         # keep the states for multi-query tokens
         if INPLACE_FINAL_STATE:
-            # Load state index and check for PAD_SLOT_ID (-1)
+            # Load state index and check for invalid entries
             final_state_idx = tl.load(
                 ssm_state_indices + i_n * stride_indices_seq + i_t
             ).to(tl.int64)
-            # Only store if state index is valid (not PAD_SLOT_ID)
-            if final_state_idx >= 0:
+            # Only store if state index is valid (not NULL_BLOCK_ID=0)
+            if final_state_idx > 0:
                 p_ht = ht + final_state_idx * stride_final_state_token
                 p_ht = p_ht + i_hv * V * K + o_v[:, None] * K + o_k[None, :]
                 tl.store(p_ht, b_h.to(p_ht.dtype.element_ty), mask=mask_h)