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We review briefly the characteristic topological data of Calabi--Yauthreefolds and focus on the question of when two threefolds are equivalentthrough related topological data. This provides an interesting test case formachine learning methodology in discrete mathematics problems motivated byphysics.

Identifying equivalent Calabi--Yau topologies: A discrete challenge from math and physics for machine learning