diff --git a/virtualizarr/manifests/array.py b/virtualizarr/manifests/array.py
index 3ef05983..0c74077f 100644
--- a/virtualizarr/manifests/array.py
+++ b/virtualizarr/manifests/array.py
@@ -148,7 +148,9 @@ def __array_ufunc__(self, ufunc, method, *inputs, **kwargs) -> Any:
             return _isnan(self.shape)
         return NotImplemented
 
-    def __array__(self, dtype: np.typing.DTypeLike = None) -> np.ndarray:
+    def __array__(
+        self, dtype: np.typing.DTypeLike | None = None, copy: bool | None = None
+    ) -> np.ndarray:
         raise NotImplementedError(
             "ManifestArrays can't be converted into numpy arrays or pandas Index objects"
         )
diff --git a/virtualizarr/manifests/array_api.py b/virtualizarr/manifests/array_api.py
index 1651676b..238876d4 100644
--- a/virtualizarr/manifests/array_api.py
+++ b/virtualizarr/manifests/array_api.py
@@ -97,9 +97,14 @@ def concatenate(
     new_shape[axis] = new_length_along_concat_axis
 
     # do concatenation of entries in manifest
-    concatenated_paths = np.concatenate(
-        [arr.manifest._paths for arr in arrays],
-        axis=axis,
+    concatenated_paths = (
+        cast(  # `np.concatenate` is type hinted as if the output could have Any dtype
+            np.ndarray[Any, np.dtypes.StringDType],
+            np.concatenate(
+                [arr.manifest._paths for arr in arrays],
+                axis=axis,
+            ),
+        )
     )
     concatenated_offsets = np.concatenate(
         [arr.manifest._offsets for arr in arrays],