Recoverable Identifier

arXiv:2604.20833 · detector doi_compliance · incontrovertible · 2026-05-20 01:33:01.649275+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2025.findings-acl.1311.url:https://aclanthology.org/2025.findings-acl.1311/) was visible in the surrounding text but could not be confirmed against doi.org as printed.

Paper page Integrity report arXiv Try DOI

Evidence text

Yifan Jiang et al. “Red Queen: Exposing Latent Multi-Turn Risks in Large Language Models”. In: Findings of the Association for Computational Linguistics: ACL 2025. Ed. by Wanxiang Che et al. Vienna, Austria: Association for Computational Linguistics, July 2025, pp. 25554–25591.isbn: 979-8-89176-256-5.doi:10.18653/v1/2025.findings-acl.1311.url:https://aclanthology. org/2025.findings-acl.1311/

Evidence payload

{
  "printed_excerpt": "Yifan Jiang et al. \u201cRed Queen: Exposing Latent Multi-Turn Risks in Large Language Models\u201d. In: Findings of the Association for Computational Linguistics: ACL 2025. Ed. by Wanxiang Che et al. Vienna, Austria: Association for Computational Li",
  "reconstructed_doi": "10.18653/v1/2025.findings-acl.1311.url:https://aclanthology.org/2025.findings-acl.1311/",
  "ref_index": 14,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}