diff --git a/src/math_spec/exclusivity.py b/src/math_spec/exclusivity.py
index 19c0ed57..51f04b34 100644
--- a/src/math_spec/exclusivity.py
+++ b/src/math_spec/exclusivity.py
@@ -220,8 +220,10 @@ def _subject_of(node: TypedPredicateNode) -> Subject:
             return Subject('variable', name)
         case DimensionComparisonNode(name=name):
             return Subject('dim', name)
-        case DimensionPositionNode(name=name, by=by, group=group):
-            return Subject('rank', name, by, group)
+        case DimensionPositionNode(name=name, partition=partition):
+            if partition is None:
+                return Subject('rank', name)
+            return Subject('rank', name, partition.name, partition.produced)
         case LookupDefinedNode(name=name) | LookupComparisonNode(name=name):
             return Subject('lookup', name)
         case LookupPairComparisonNode(name=name, other=other):
diff --git a/src/math_spec/program.py b/src/math_spec/program.py
index bf8ebf4f..0909e8df 100644
--- a/src/math_spec/program.py
+++ b/src/math_spec/program.py
@@ -1149,20 +1149,17 @@ class DimensionComparisonNode:
 class DimensionPositionNode:
     """Compare where a row sits along a dimension against a position — ``position(snapshot) == 0``.
 
-    Both sides are integers, negative counting from the end. With ``by`` the
-    position is counted within each group the lookup makes: ``walked`` is its
-    key column over ``name``, ``group`` the value columns the group is made
-    of, and ``dims`` the dimensions of its other key columns, which the frame
-    carries.
+    Both sides are integers, negative counting from the end. With a
+    ``partition`` the position is counted within each group the lookup makes,
+    walked as :class:`Translate` walks one: its consumed column is the key
+    column over ``name``, the group is its produced columns, and its joined
+    columns are the other key columns, whose dimensions the frame carries.
     """
 
     name: str
     op: PredicateOperator
     position: int
-    by: str | None = None
-    walked: str | None = None
-    group: tuple[str, ...] = ()
-    dims: tuple[str, ...] = ()
+    partition: Walk | None = None
 
 
 @dataclass(frozen=True)
@@ -1316,7 +1313,7 @@ def _atom_dims(atom: TypedPredicateNode) -> frozenset[str]:
         case DimensionComparisonNode():
             return frozenset({atom.name})
         case DimensionPositionNode():
-            return frozenset({atom.name, *atom.dims})
+            return frozenset({atom.name, *(atom.partition.joined_dims if atom.partition is not None else ())})
         case LookupComparisonNode() | LookupPairComparisonNode() | LookupDefinedNode():
             return frozenset(atom.dims)
         case _:
diff --git a/src/math_spec/resolution.py b/src/math_spec/resolution.py
index 2314b4d9..1dc49738 100644
--- a/src/math_spec/resolution.py
+++ b/src/math_spec/resolution.py
@@ -690,6 +690,15 @@ def _walk(
                 f'{context}: {call}: from= and into= both name {both}, and a walk goes between two sets of columns.'
             )
             return None
+        for kwarg, roles in (('from', from_roles), ('into', into_roles)):
+            dims = [shape.dim(r) for r in roles]
+            if shared := sorted({d for d in dims if dims.count(d) > 1}):
+                self.errors.append(
+                    f'{context}: {call}: {kwarg}={list(roles)} names two columns over {shared}, and the operand '
+                    f'carries each dimension once, so nothing says which column its coordinate is read at. Walk '
+                    f'between columns over distinct dimensions.'
+                )
+                return None
         joined = tuple(r for r in (shape.key or shape.roles) if r not in from_roles and r not in into_roles)
         walk = Walk(shape, from_roles, into_roles, joined)
         if not forward and not walk.is_function_read:
@@ -881,10 +890,7 @@ def _position(self, node: UnresolvedPositionNode) -> DimensionPositionNode | Unr
         walk = self._partition_walk(node.by, 'position', node.dimension, node.into)
         if walk is None:
             return node
-        (walked,) = walk.consumed
-        return DimensionPositionNode(
-            node.dimension, node.op, node.position, node.by, walked, walk.produced, walk.joined_dims
-        )
+        return DimensionPositionNode(node.dimension, node.op, node.position, walk)
 
     def _comparison(self, node: UnresolvedComparisonNode) -> WhereNode | UnresolvedWhereNode:
         """``name <op> literal``, or the one structural form ``lookup <op> lookup``."""
diff --git a/src/math_spec/typesetting/walk.py b/src/math_spec/typesetting/walk.py
index 3bdd2503..ab677f16 100644
--- a/src/math_spec/typesetting/walk.py
+++ b/src/math_spec/typesetting/walk.py
@@ -297,10 +297,11 @@ def _value_read(self, name: str, column: str, ctx: _Context) -> str:
 
     def _position_group(self, node: DimensionPositionNode, ctx: _Context) -> str:
         """The group a grouped position counts within: the lookup's group columns read at the row's key."""
-        assert node.by is not None
-        lk = self.schema.lookups[node.by]
-        keyed = self.format.joined([ctx.subscript(dict(lk.columns)[k]) for k in lk.keys], '')
-        reads = [self.format.apply(self._column(node.by, column, len(lk.values) == 1), keyed) for column in node.group]
+        assert node.partition is not None
+        walk = node.partition
+        keyed = self.format.joined([ctx.subscript(walk.dim(k)) for k in walk.key], '')
+        single = len(walk.values) == 1
+        reads = [self.format.apply(self._column(walk.name, column, single), keyed) for column in walk.produced]
         return self._tuple(reads)
 
     def _tuple(self, reads: list[str]) -> str:
@@ -587,7 +588,7 @@ def _where(self, node: WhereNode, ctx: _Context) -> tuple[str, int]:
             )
 
         if isinstance(node, DimensionPositionNode):
-            grouping = None if node.by is None else self._position_group(node, ctx)
+            grouping = None if node.partition is None else self._position_group(node, ctx)
             place = self._position(ctx.subscript(node.name), grouping)
             ordinal = self._ordinal(node.name, node.position, grouping)
             return f'{place} {self._op(_PREDICATES[node.op])} {ordinal}', comparison
diff --git a/tests/test_validation.py b/tests/test_validation.py
index d437a43a..d7cfc52f 100644
--- a/tests/test_validation.py
+++ b/tests/test_validation.py
@@ -455,7 +455,7 @@ def test_it_resolves(self, mask: str, position: int, by: str | None):
         assert isinstance(node, DimensionPositionNode)
         assert node.name == 'snapshot'
         assert node.position == position
-        assert node.by == by
+        assert (node.partition.name if node.partition is not None else None) == by
 
     @pytest.mark.parametrize(
         ('mask', 'fragments'),
@@ -634,6 +634,14 @@ class TestRulesDecidedWithoutData:
                 ("from= and into= both name ['h']",),
                 id='a-from-list-overlapping-to',
             ),
+            pytest.param(
+                {
+                    'lookups.lz': {'over': {'g': 'g', 'h0': 'h', 'h1': 'h'}, 'key': 'g'},
+                    'objective': {'expression': 'sum(sum(p, by=lz, from=[h0, h1], into=g))'},
+                },
+                ("from=['h0', 'h1'] names two columns over ['h'], and the operand carries each dimension once",),
+                id='a-from-list-naming-two-columns-over-one-dimension',
+            ),
             pytest.param(
                 {'objective': {'expression': 'sum(shift(p, over=g, offset=1, edge=0, by=lk, from=g))'}},
                 (