The Pareto Frontier of Resilient Jet Tagging

ArXi:2509.19431v2 Announce Type: replace-cross Classifying hadronic jets using their constituents' kinematic information is a critical task in modern high-energy collider physics. Often, classifiers are designed by targeting the best performance using metrics such as accuracy, AUC, or rejection rates. However, the use of a single metric can lead to the use of architectures that are model-dependent than competitive alternatives, leading to potential uncertainty and bias in analysis.