A common aspect of structure-agnostic approaches is that they treat element information for compositions. This raises the question of whether there is any utility for having representations or even incorporating knowledge of the oxidation states in structure-agnostic learning. When screening inorganic compositions, oxidation states are typically considered a form of chemical heuristics to achieve charge-balancing for enumerative algorithms , to suggest why one compound may form rather than another or as a measure to check the validity of compositions suggested by generative models . Often, these oxidation states don't see much further use beyond these applications in screening studies, despite their central role in the explanation of properties in inorganic chemistry.