Automated theorem provers can solve 82% of premise-selected subgoals from a higher-order set theory formalization, shortening the development to 46% of its original size.
A learning-based fact selector for Isabelle/HOL
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Hammering Higher Order Set Theory
Automated theorem provers can solve 82% of premise-selected subgoals from a higher-order set theory formalization, shortening the development to 46% of its original size.