Performance Between Universes: Type-Informed Optimisation for Structural Abstraction and Environment-Specific Data
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We propose an implementation process for type systems to permit subdivision of types into distinct universes based on individual type theories each presenting their own unique properties. Multi-universe systems can interface between smooth and discrete definitions of similar values at the type level. We then present a potential resolution framework for these values to be incrementally optimised by a preprocessor for both self-defined primitive types and high-dimensional abstractions.