diff --git a/vortex-python/python/vortex/polars_.py b/vortex-python/python/vortex/polars_.py
index 03040371a3c..a8b3102761b 100644
--- a/vortex-python/python/vortex/polars_.py
+++ b/vortex-python/python/vortex/polars_.py
@@ -104,6 +104,8 @@ def _polars_to_vortex(expr: dict[str, Any]) -> ve.Expr:
         elif "Decimal" in scalar:
             value, precision, scale = scalar["Decimal"]
             return ve.literal(_dtype.decimal(precision=precision, scale=scale), value)
+        elif len(scalar) == 1 and next(iter(scalar)) in _LITERAL_TYPES:
+            dtype, value = next(iter(scalar.items()))
         else:
             raise ValueError(f"Cannot convert to Vortex: unsupported Polars scalar value type {scalar}")
 
diff --git a/vortex-python/test/test_polars_.py b/vortex-python/test/test_polars_.py
index 554087ae93b..759ea605eb7 100644
--- a/vortex-python/test/test_polars_.py
+++ b/vortex-python/test/test_polars_.py
@@ -129,3 +129,23 @@ def test_polars_is_between(tmp_path, closed, expected):
     actual = vx.open(str(path)).to_polars().filter(expr).collect()
     assert_frame_equal(actual, expected_frame)
     assert actual["id"].to_list() == expected
+
+
+@pytest.mark.parametrize(
+    "arrow_type, threshold",
+    [(pa.uint8(), 50), (pa.uint16(), 500), (pa.uint32(), 500), (pa.uint64(), 500)],
+)
+def test_unsigned_predicate_pushdown(tmp_path, arrow_type, threshold):
+    table = pa.table(
+        {
+            "id": [0, 1, 2],
+            "value": pa.array([threshold - 1, threshold, threshold + 1], type=arrow_type),
+        }
+    )
+    path = tmp_path / "unsigned.vortex"
+    vx.io.write(vx.array(table), str(path))
+    expr = pl.col("value") >= threshold
+    expected = pl.DataFrame(table).lazy().filter(expr).collect()
+    result = vx.open(str(path)).to_polars().filter(expr).collect()
+    assert_frame_equal(result, expected)
+    assert result["id"].to_list() == [1, 2]