diff --git a/pymc/distributions/transforms.py b/pymc/distributions/transforms.py
index 38bc0e840a..76db660f14 100644
--- a/pymc/distributions/transforms.py
+++ b/pymc/distributions/transforms.py
@@ -12,6 +12,7 @@
 #   See the License for the specific language governing permissions and
 #   limitations under the License.
 
+from collections.abc import Sequence
 from functools import singledispatch
 
 import numpy as np
@@ -134,6 +135,10 @@ def log_jac_det(self, value, *inputs):
         y = pt.zeros(value.shape)
         return pt.sum(y, axis=-1)
 
+    def transform_labels(self, labels: Sequence[str]) -> Sequence[str]:
+        """Drop the last label since SumTo1 reduces dimensionality by 1."""
+        return labels[:-1]
+
 
 class CholeskyCovPacked(Transform):
     """Transforms the diagonal elements of the LKJCholeskyCov distribution to be on the log scale."""
@@ -311,6 +316,10 @@ def backward(self, value, *rv_inputs):
     def log_jac_det(self, value, *rv_inputs):
         return pt.constant(0.0)
 
+    def transform_labels(self, labels: Sequence[str]) -> Sequence[str]:
+        """Drop the last label since ZeroSumTransform reduces dimensionality by 1."""
+        return labels[:-1]
+
 
 log_exp_m1 = LogExpM1()
 log_exp_m1.__doc__ = """
diff --git a/pymc/logprob/transforms.py b/pymc/logprob/transforms.py
index 8d2bbacd26..6c6c7910da 100644
--- a/pymc/logprob/transforms.py
+++ b/pymc/logprob/transforms.py
@@ -35,7 +35,7 @@
 #   SOFTWARE.
 import abc
 
-from collections.abc import Callable
+from collections.abc import Callable, Sequence
 
 import numpy as np
 import pytensor.tensor as pt
@@ -154,6 +154,10 @@ def log_jac_det(self, value: TensorVariable, *inputs) -> TensorVariable:
             phi_inv = self.backward(value, *inputs)
             return pt.log(pt.abs(pt.nlinalg.det(pt.atleast_2d(jacobian(phi_inv, [value])[0]))))
 
+    def transform_labels(self, labels: Sequence[str]) -> Sequence[str]:
+        """Mutate user-provided coordinates associated with the variable to label transformed values returned by this class."""
+        return labels
+
     def __str__(self):
         """Return a string representation of the object."""
         return f"{self.__class__.__name__}"
@@ -1006,6 +1010,10 @@ def log_jac_det(self, value, *inputs):
         res = pt.log(N) + (N * sum_value) - (N * logsumexp_value_expanded)
         return pt.sum(res, -1)
 
+    def transform_labels(self, labels: Sequence[str]) -> Sequence[str]:
+        """Drop the last label since Simplex reduces dimensionality by 1."""
+        return labels[:-1]
+
 
 class CircularTransform(Transform):
     name = "circular"