Comprehensive reconstruction of collider events with hypergraph representation learning and graph-conditioned diffusion

In particle collider experiments, event reconstruction is the task of inferring the kinematics of short-lived particles produced in the hard scatter from the stable final states recorded by detectors. We decompose event reconstruction into two primary tasks: assigning measured jets and charged lepto