Research

Local Diagnostics of Learned Event Representations for Anomaly Detection at the HL-LHC

Single source1 source12 Oct 2026

arXiv:2610.13437v1 Announce Type: new Abstract: Anomaly detection, the identification of collision events that deviate from Standard Model expectations, is one of the most promising model-agnostic strategies for new-physics searches at the Large Hadron Collide

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arxiv.orghttps://arxiv.org/abs/2610.13437

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