Update graph.md (#1338)

Author: xtfocus

docs/graph.md

@@ -197,7 +197,7 @@ display(Image(fives_graph.mermaid_image(start_node=DivisibleBy5)))
 
 The "state" concept in `pydantic-graph` provides an optional way to access and mutate an object (often a `dataclass` or Pydantic model) as nodes run in a graph. If you think of Graphs as a production line, then your state is the engine being passed along the line and built up by each node as the graph is run.
 
-In the future, we intend to extend `pydantic-graph` to provide state persistence with the state recorded after each node is run, see [#695](https://github.com/pydantic/pydantic-ai/issues/695).
+`pydantic-graph` provides state persistence, with the state recorded after each node is run. (See [State Persistence](#state-persistence).)
 
 Here's an example of a graph which represents a vending machine where the user may insert coins and select a product to purchase.