SAGE: A Quantitative Evaluation of Socialized Evolution in Agent Ecosystems

ArXi:2606.03544v1 Announce Type: cross Self-improving language agents are typically evaluated in isolation: an agent attempts a task, receives feedback, and iteratively refines its own behavior. Yet agents increasingly operate alongside peers whose strategies and outcomes are publicly visible. This raises an under-studied question: when does shared experience produce improvements that self-improvement alone cannot achieve? We