diff --git a/tests/test_lora_math.py b/tests/test_lora_math.py
new file mode 100644
index 0000000..8725c77
--- /dev/null
+++ b/tests/test_lora_math.py
@@ -0,0 +1,89 @@
+import pytest
+import torch
+
+from more_math.LoraMathNode import LoraMathNode
+
+
+def test_lora_math_uses_v0_as_a_and_supports_scalar_expression():
+    lora = {"layer.weight": torch.tensor([1.0, 2.0])}
+
+    result, stack = LoraMathNode.execute(
+        V={"V0": lora},
+        F={},
+        Expression="a * 3",
+        use_compute_device=False,
+        stack=None,
+    )
+
+    assert stack == {}
+    torch.testing.assert_close(result["layer.weight"], torch.tensor([3.0, 6.0]))
+
+
+def test_lora_math_preserves_union_of_sparse_lora_keys():
+    first = {
+        "only_first": torch.tensor([1.0, 2.0]),
+        "shared": torch.tensor([3.0, 4.0]),
+    }
+    second = {
+        "shared": torch.tensor([10.0, 20.0]),
+        "only_second": torch.tensor([30.0, 40.0]),
+    }
+
+    result, _ = LoraMathNode.execute(
+        V={"V0": first, "V1": second},
+        F={},
+        Expression="V0 + V1",
+        use_compute_device=False,
+        stack=None,
+    )
+
+    assert set(result) == {"only_first", "shared", "only_second"}
+    torch.testing.assert_close(result["only_first"], first["only_first"])
+    torch.testing.assert_close(result["shared"], torch.tensor([13.0, 24.0]))
+    torch.testing.assert_close(result["only_second"], second["only_second"])
+
+
+def test_lora_math_dictionary_mode_preserves_keys():
+    lora = {
+        "layer_a": torch.tensor([1.0]),
+        "layer_b": torch.tensor([2.0]),
+    }
+
+    result, _ = LoraMathNode.execute(
+        V={"V0": lora},
+        F={},
+        Expression="V0 * 2",
+        use_compute_device=False,
+        stack=None,
+        dict_mode=True,
+    )
+
+    assert set(result) == set(lora)
+    torch.testing.assert_close(result["layer_a"], torch.tensor([2.0]))
+    torch.testing.assert_close(result["layer_b"], torch.tensor([4.0]))
+
+
+def test_lora_math_rejects_empty_inputs():
+    with pytest.raises(ValueError, match="At least one input LoRA is required"):
+        LoraMathNode.execute(
+            V={"V0": None},
+            F={},
+            Expression="V0",
+            use_compute_device=False,
+            stack=None,
+        )
+
+
+def test_lora_math_schema_has_expected_contract():
+    schema = LoraMathNode.define_schema()
+
+    assert schema.node_id == "mrmth_ag_LoraMathNode"
+    assert [input_.id for input_ in schema.inputs] == [
+        "V",
+        "F",
+        "Expression",
+        "dict_mode",
+        "use_compute_device",
+        "stack",
+    ]
+    assert len(schema.outputs) == 2