AI RESEARCH
When Knowledge Is Not Free: Cost-Aware Evidence Selection in Retrieval-Augmented Generation
arXiv CS.CL
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ArXi:2606.02245v1 Announce Type: new Retrieval-Augmented Generation (RAG) typically assumes that external knowledge is free, but many high-quality sources are paywalled, licensed, restricted, or otherwise costly to access. We