Similarity maps for the randomized SMILES were also plotted (Suppl. Figure ) and confirm that models trained with randomized SMILES are able to generate mostly all molecules from GDB-13 with uniform probability. Only molecules on the left tip of the half-moon (highly cyclic) are slightly more difficult to generate, but this is because they have extremely complicated SMILES with uncommon tokens and ring closures. Additionally, maps colored by the number of SMILES per molecule were created and show that most of the molecules that have more randomized SMILES are the same as those that are difficult to sample in the canonical models.