AI RESEARCH
Are Finer Citations Always Better? Rethinking Granularity for Attributed Generation
arXiv CS.CL
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ArXi:2604.01432v2 Announce Type: replace Citation granularity - whether to cite individual sentences, paragraphs, or documents - is a critical design choice in attributed generation. While fine-grained citations are often preferred for precise human verification, their impact on model performance remains under-explored. We analyze four model scales (8B-120B) and nstrate that enforcing fine-grained citations degrades attribution quality by 16-276% compared to the best-performing granularity.