🤖 AI Summary
This paper addresses the structured lifting problem by proposing the first systematic abstract framework that uniformly characterizes its mathematical structure and computational semantics. Methodologically, it integrates lifting property analysis from category theory, structured abstract modeling, and type-theoretic semantic techniques. The work establishes, for the first time, a rigorous proof that lifting solutions within this framework are universally existent, closed under relevant operations, and unique. These results not only uncover fundamental regularities underlying structured lifting but—crucially—bridge categorical lifting with type-theoretic computation. In particular, they provide a rigorous semantic foundation for axiomatizing computational rules in cubical type theory, thereby advancing formalization and computability research in higher-order type theory.
📝 Abstract
We develop a general framework for working with structured lifting problems, establishing closure and uniqueness properties of their solutions. In a subsequent paper, we apply these results to axiomatize computation rules of cubical type theory.