diff --git a/flax/nnx/graph.py b/flax/nnx/graph.py
index 6d440dbec6..515358269c 100644
--- a/flax/nnx/graph.py
+++ b/flax/nnx/graph.py
@@ -932,21 +932,21 @@ def split(
   def split(
     self, node: A, *filters: filterlib.Filter
   ) -> tuple[GraphDef[A], GraphState, tpe.Unpack[tuple[GraphState, ...]]]:
-    """Splits a graph node into a :class:`flax.nnx.GraphDef` and one or more :flax:`flax.nnx.Variable`
-    :class:`flax.nnx.State`'s.
-    
-    It is a way to represent an :class:`flax.nnx.Module` by: 1) a static ``nnx.GraphDef`` that captures
-    its Pythonic static information; and 2) one or more ``nnx.Variable`` ``nnx.State``'(s) that capture
-    its ``jax.Array``'s in the form of JAX pytrees.
-    
-    A :class:`flax.nnx.State` is a ``Mapping`` from strings or integers to :class:`flax.nnx.Variable`'s,
-    ``jax.Array``'s or nested :class:`flax.nnx.State`'s.
-    
-    ``nnx.GraphDef`` contains all the static information needed to reconstruct a :class:`flax.nnx.Module`
-    graph, and it is analogous to JAX’s ``PyTreeDef``.
-    
-    :func:`flax.nnx.split` is used in conjunction with :func:`flax.nnx.merge` to
-    switch seamlessly between stateful and stateless representations of the graph.
+    """Splits a graph node into a :class:`flax.nnx.GraphDef` and one or more
+    :flax:`flax.nnx.Variable` :class:`flax.nnx.State`'s.
+
+    It is a way to represent a :class:`flax.nnx.Module` by: 1) a static ``nnx.GraphDef``
+    that captures its Pythonic static information; and 2) one or more ``nnx.Variable``
+    ``nnx.State``'(s) that capture its ``jax.Array``'s in the form of JAX pytrees.
+
+    An ``nnx.State`` is a ``Mapping`` from strings or integers to ``nnx.Variable``'s,
+    JAX arrays (``jax.Array``) or nested ``nnx.State``'s.
+
+    ``nnx.GraphDef`` contains all the static information needed to reconstruct a
+    ``nnx.Module`` graph, and it is analogous to JAX’s ``PyTreeDef``.
+
+    ``nnx.split`` is used in conjunction with :func:`flax.nnx.merge` to switch seamlessly
+    between stateful and stateless representations of the graph.
 
     Example usage::