To ensure expansive latent space coverage and a relatively global trend evaluation, we plot the SELFIES set validity percentage as a function of generative radius ranging from 0.0 to 1000.0, in the final model (Figure ). The "Modified Constraints" ("Customized", Figure ) procedure slightly increases validity but does not fully address the representational anomalies arising from troublesome tokens (Figure A-B). shows that invalid SELFIES are more likely to arise from points decoded at high latent-space radii (Figure ). The final converged VAE model comprises several latent space regions with consistent properties, as a function of radius R: