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This arXiv paper proposes a three-class detection framework distinguishing humans, bots, and AI agents, showing binary classifiers systematically misclassify agents. It identifies minimal feature sets (e.g., mouse_event_rate and teleport_click_ratio) that achieve perfect agent recall across evasion levels.