Experimental methods for determining solubility are notoriously time-and resource-intensive, and are regarded as highly inaccurate with reported interlaboratory experimental variability ranging between 0.5-1 log S. For variablesolvent datasets scraped from literature this variability defines the aleatoric limit -the 'irreducible error' which models cannot surpass without memorization. Given that solubility as a function of temperature -almost always positive monotonicis often desired, experimental determination becomes even more onerous. The challenges of measuring solubility are particularly painful in pharmaceutical development, where organic solubility complicates synthesis and purification, aqueous solubility limits in vivo efficacy, and the solid state form of the drug confounds accurate measurement. For these reasons a priori estimation of log S has long been of immense interest to the chemical sciences.