diff --git a/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py b/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py
index 0276e65a081..ccae9b503cf 100644
--- a/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py
+++ b/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py
@@ -7,6 +7,7 @@
 
 import torch
 from executorch.exir.pass_base import ExportPass, PassResult
+from torch._export.utils import is_buffer, is_param
 
 
 class UnsqueezeScalarPlaceholdersPass(ExportPass):
@@ -19,23 +20,27 @@ def __init__(self, exported_program):
         self.exported_program = exported_program
         super().__init__()
 
-    def _is_inputs_to_buffers_or_parameters(self, node):
-        return (
-            node.name in self.exported_program.graph_signature.inputs_to_buffers
-            or node.name in self.exported_program.graph_signature.inputs_to_parameters
-        )
-
     def call(self, graph_module: torch.fx.GraphModule):
         for node in graph_module.graph.nodes:
             if node.op != "placeholder":
                 continue
             rank = node.meta["val"].dim()
             if rank == 0:
-                if not self._is_inputs_to_buffers_or_parameters(node):
+                if is_buffer(self.exported_program, node):
+                    name = self.exported_program.graph_signature.inputs_to_buffers[
+                        node.name
+                    ]
+                elif is_param(self.exported_program, node):
+                    name = self.exported_program.graph_signature.inputs_to_parameters[
+                        node.name
+                    ]
+                else:
                     continue
-                tensor = self.exported_program.state_dict[node.name]
+
+                tensor = self.exported_program.state_dict[name]
+
                 if tensor.dim() == 0:
-                    self.exported_program.state_dict[node.name] = tensor.unsqueeze(0)
+                    self.exported_program.state_dict[name] = tensor.unsqueeze(0)
                     node.meta["val"] = node.meta["val"].fake_mode.from_tensor(
                         tensor.unsqueeze(0), static_shapes=True
                     )
@@ -53,6 +58,9 @@ def ensures(self, graph_module: torch.fx.GraphModule):
             if node.op == "placeholder":
                 rank = node.meta["val"].dim()
                 if rank == 0:
-                    if not self._is_inputs_to_buffers_or_parameters(node):
+                    if not (
+                        is_buffer(self.exported_program, node)
+                        or is_param(self.exported_program, node)
+                    ):
                         continue
                     raise ValueError("Placeholders of rank 0 are not supported!")