The input sequence x, which may represent one or multiple molecules, can be encoded in different formats, such as SMILES strings or IUPAC names. These varying input representations can result in different output distributions, P θ (y|x S ) for SMILES and Q θ (y|x I ) for IUPAC. By evaluating the consistency between these distributions, we aim to assess whether language models can capture the intrinsic chemistry underlying these symbolic representations.