Recoverable Identifier

arXiv:2605.06054 · detector doi_compliance · incontrovertible · 2026-05-19 12:57:54.955360+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-emnlp.5001) 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

D. Wadi and M. Fredette. A Monte-Carlo sampling framework for reliable evaluation of large language models using behavioral analysis. InFindings of the Association for Computational Linguistics: EMNLP 2025, pp. 9414–9432. Suzhou, China, Nov. 2025. doi: 10.18653/v1/ 2025.findings-emnlp.500 1

Evidence payload

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  "printed_excerpt": "D. Wadi and M. Fredette. A Monte-Carlo sampling framework for reliable evaluation of large language models using behavioral analysis. InFindings of the Association for Computational Linguistics: EMNLP 2025, pp. 9414\u20139432. Suzhou, China, Nov",
  "reconstructed_doi": "10.18653/v1/2025.findings-emnlp.5001",
  "ref_index": 33,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}