AI RESEARCH
An End-to-end Architecture for Collider Physics and Beyond
arXiv CS.AI
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ArXi:2603.14553v1 Announce Type: cross We present, to our knowledge, the first language-driven agent system capable of executing end-to-end collider phenomenology tasks, instantiated within a decoupled, domain-agnostic architecture for autonomous High-Energy Physics phenomenology. Guided only by natural-language prompts supplemented with standard physics notation, ColliderAgent carries out workflows from a theoretical Lagrangian to final phenomenological outputs without relying on package-specific code.