Unsupported Attribution
advisory
citation_quote_validity
unsupported_attribution
Citing paper attributes a specific factual claim to reference [17], which resolves to arXiv:2307.03172. The claim's distinctive tokens have only 0% overlap with any chunk of the cited paper's stored text (threshold for unsupported is 15%). The attribution could not be verified against the cited work.
Paper page Integrity report arXiv
Evidence text
Nelson F Liu, Kevin Lin, John Hewitt, Ashwin Paran- jape, Michele Bevilacqua, Fabio Petroni, and Percy Liang. Lost in the middle: How language models use long contexts.Transactions of the Association for Com- putational Linguistics (TACL), 12:157–173, 2024. URL https://arxiv.org/abs/2307.03172. Mod- els attend more to beginning and end of context, degrad- ing on middle content
Evidence payload
{
"best_overlap_chunk_id": null,
"best_overlap_score": 0.0,
"chunks_checked": 12,
"cited_arxiv_id": "2307.03172",
"claim_offset": 9613,
"claim_text": "binary formats pro-\nduce more negative judgments than continuous scales.",
"ref_index": 17,
"supported_threshold": 0.5,
"unsupported_threshold": 0.15,
"verdict_class": "threshold_with_margin"
}