diff --git a/equinox/_ad.py b/equinox/_ad.py
index a15312e4..17b11aec 100644
--- a/equinox/_ad.py
+++ b/equinox/_ad.py
@@ -724,9 +724,18 @@ def call(x, y, *, fn):
         def call_jvp(primals, tangents, *, fn):
             x, y = primals
             tx, ty = tangents
+            # `y` is not differentiated below, so it has a symbolic zero tangent,
+            # represented as a `None`.
+            assert ty is None
             primal_out = call(x, y, fn=fn)
-            tangent_out = tx**2 + ty
+            tangent_out = tx**2
             return primal_out, tangent_out
+
+        x = jnp.array(2.0)
+        y = jnp.array(2.0)
+        fn = lambda a, b: a + b
+        # This only computes gradients for the first argument `x`.
+        equinox.filter_grad(call)(x, y, fn=fn)
         ```
     """
 
@@ -759,11 +768,9 @@ def def_jvp(self, fn_jvp):
         def fn_jvp_wrapper(static, dynamic, tangents):
             (dynamic,) = dynamic
             (tangents,) = tangents
-            d_args, _ = dynamic
-            t_args, t_kwargs = tangents
+            t_args, t_kwargs = jtu.tree_map(_drop_nondiff, tangents, dynamic)
             if len(jtu.tree_leaves(t_kwargs)) > 0:
                 raise ValueError("Received keyword tangent")
-            t_args = jtu.tree_map(_drop_nondiff, t_args, d_args)
             args, kwargs = combine(dynamic, static)
             out, t_out = fn_jvp(args, t_args, **kwargs)
             t_out = jtu.tree_map(_none_to_zero, t_out, out, is_leaf=_is_none)