Recoverable Identifier

arXiv:2604.18245 · detector doi_compliance · incontrovertible · 2026-05-20 04:16:22.415039+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2024.acl-long.511.URLhttps://aclanthology.org/2024.acl-long.511/.Xuezhi) 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

Association for Computational Linguistics. doi: 10.18653/v1/ 2024.acl-long.511. URLhttps://aclanthology.org/2024.acl-long.511/. Xuezhi Wang, Jason Wei, et al. Self-Consistency Improves Chain of Thought Reasoning in Language Models. InThe Eleventh International Conference on Learning Representations (ICLR),

Evidence payload

{
  "printed_excerpt": "Association for Computational Linguistics. doi: 10.18653/v1/ 2024.acl-long.511. URLhttps://aclanthology.org/2024.acl-long.511/. Xuezhi Wang, Jason Wei, et al. Self-Consistency Improves Chain of Thought Reasoning in Language Models. InThe El",
  "reconstructed_doi": "10.18653/v1/2024.acl-long.511.URLhttps://aclanthology.org/2024.acl-long.511/.Xuezhi",
  "ref_index": 12,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}