diff --git a/tests/cases/pad.py b/tests/cases/pad.py
index c66332fe..5efda685 100644
--- a/tests/cases/pad.py
+++ b/tests/cases/pad.py
@@ -21,19 +21,17 @@
 
 
 @pytest.mark.parametrize("mode", ["constant", "reflect"])
-def test_output(mode):
+def test_padding(mode):
     array_key = ArrayKey("TEST_ARRAY")
     graph_key = GraphKey("TEST_GRAPH")
 
-    array_spec = ArraySpec(
-        roi=Roi((200, 20, 20), (1800, 180, 180)), voxel_size=(20, 2, 2)
-    )
+    array_spec = ArraySpec(roi=Roi((200, 20, 20), (600, 60, 60)), voxel_size=(20, 2, 2))
     roi_voxel = array_spec.roi / array_spec.voxel_size
     data = np.zeros(roi_voxel.shape, dtype=np.uint32)
     data[:, ::2] = 100
     array = Array(data, spec=array_spec)
 
-    graph_spec = GraphSpec(roi=Roi((200, 20, 20), (1800, 180, 180)))
+    graph_spec = GraphSpec(roi=Roi((200, 20, 20), (600, 60, 60)))
     graph = Graph([], [], graph_spec)
 
     source = (
@@ -43,13 +41,13 @@ def test_output(mode):
 
     pipeline = (
         source
-        + Pad(array_key, Coordinate((20, 20, 20)), value=1, mode=mode)
-        + Pad(graph_key, Coordinate((10, 10, 10)), mode=mode)
+        + Pad(array_key, Coordinate((200, 20, 20)), value=1, mode=mode)
+        + Pad(graph_key, Coordinate((100, 10, 10)), mode=mode)
     )
 
     with build(pipeline):
-        assert pipeline.spec[array_key].roi == Roi((180, 0, 0), (1840, 220, 220))
-        assert pipeline.spec[graph_key].roi == Roi((190, 10, 10), (1820, 200, 200))
+        assert pipeline.spec[array_key].roi == Roi((0, 0, 0), (1000, 100, 100))
+        assert pipeline.spec[graph_key].roi == Roi((100, 10, 10), (800, 80, 80))
 
         batch = pipeline.request_batch(
             BatchRequest({array_key: ArraySpec(Roi((180, 0, 0), (40, 40, 40)))})
@@ -73,3 +71,26 @@ def test_output(mode):
                 np.sum(octants),
                 data,
             )
+
+        # 1 x 10 x (10,30,10)
+        batch = pipeline.request_batch(
+            BatchRequest({array_key: ArraySpec(Roi((200, 20, 0), (20, 20, 100)))})
+        )
+        data = batch.arrays[array_key].data
+
+        if mode == "constant":
+            lower_pad = 1 * 10 * 10
+            upper_pad = 1 * 10 * 10
+            center = 100 * 1 * 5 * 30
+            assert np.sum(data) == np.sum((lower_pad, upper_pad, center)), (
+                np.sum(data),
+                np.sum((lower_pad, upper_pad, center)),
+            )
+        elif mode == "reflect":
+            lower_pad = 100 * 1 * 5 * 10
+            upper_pad = 100 * 1 * 5 * 10
+            center = 100 * 1 * 5 * 30
+            assert np.sum(data) == np.sum((lower_pad, upper_pad, center)), (
+                np.sum(data),
+                np.sum((lower_pad, upper_pad, center)),
+            )