Before revision:  For instance, nested cross-validation is a standard procedure meant to mitigate the risk that information from held-out validation data may be reached during model selection.
After revision:  For instance, nested cross-validation is a standard procedure meant to mitigate the risk that information from held-out validation data may be used during model selection.