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News/EvoSpark: Endogenous Interactive Agent Societies for Unified Long-Horizon Narrative Evolution
arxiv
PublishedApril 15, 2026 at 4:00 AM

EvoSpark: Endogenous Interactive Agent Societies for Unified Long-Horizon Narrative Evolution

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arXiv:2604.12776v1 Announce Type: new Abstract: Realizing endogenous narrative evolution in LLM-based multi-agent systems is hindered by the inherent stochasticity of generative emergence. In particular, long-horizon simulations suffer from social memory stacking, where conflicting relational states

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