AI RESEARCH
SOCIA-EVO: Automated Simulator Construction via Dual-Anchored Bi-Level Optimization
arXiv CS.AI
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ArXi:2604.17351v1 Announce Type: new Automated simulator construction requires distributional fidelity, distinguishing it from generic code generation. We identify two failure modes in long-horizon LLM agents: contextual drift and optimization instability arising from conflating structural and parametric errors. We propose SOCIA-EVO, a dual-anchored evolutionary framework.