Recoverable Identifier

arXiv:2605.07177 · detector doi_compliance · incontrovertible · 2026-05-19 12:01:24.511779+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2023.findings-emnlp.378.URLhttps://aclanthology.org/2023.findings-emnlp.378/) 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

Press, O., Zhang, M., Min, S., Schmidt, L., Smith, N., and Lewis, M. Measuring and narrowing the compositionality gap in language models. In Bouamor, H., Pino, J., and Bali, K. (eds.), Findings of the Association for Computational Linguistics: EMNLP 2023, pp. 5687–5711, Singapore, December 2023. Association for Computational Linguistics. doi: 10.18653/v1/2023. findings-emnlp.378. URLhttps://aclanthology.org/2023.findings-emnlp.378/

Evidence payload

{
  "printed_excerpt": "Press, O., Zhang, M., Min, S., Schmidt, L., Smith, N., and Lewis, M. Measuring and narrowing the compositionality gap in language models. In Bouamor, H., Pino, J., and Bali, K. (eds.), Findings of the Association for Computational Linguisti",
  "reconstructed_doi": "10.18653/v1/2023.findings-emnlp.378.URLhttps://aclanthology.org/2023.findings-emnlp.378/",
  "ref_index": 27,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}