In both cases, we observe fastsolv correctly predicts the rank ordering of solubility in the solvents, which is an important task for high-throughput virtual screening workflows. Additionally, the ability to discriminate between highly similar solvents is a difficult task for ML models, and the ability of fastsolv to do so indicates it is accurately representing solvent molecules. Overall, we these results further validate model performance under solute extrapolation beyond the aggregate performance metrics reported in Figure .