Recoverable Identifier

arXiv:2604.25903 · detector doi_compliance · incontrovertible · 2026-05-19 20:36:55.071926+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2021.emnlp-Proc.ACM) 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

Yue Wang, Weishi Wang, Shaﬁq Joty, and Steven C.H. Hoi. 2021. CodeT5: Identiﬁer-aware Uniﬁed Pre-trained Encoder- Decoder Models for Code Understanding and Generation. InProceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 8696–8708. doi:10.18653/v1/2021.emnlp- Proc. ACM Softw. Eng., Vol. 3, No. FSE, Article FSE047. Publication date: July 2026. Preprint FSE047:24 Ajmain Inqiad Alam, Palash Roy, Chanchal K. Roy, Banani Roy, and Kevin A. Schneider main.685

Evidence payload

{
  "printed_excerpt": "Yue Wang, Weishi Wang, Sha\ufb01q Joty, and Steven C.H. Hoi. 2021. CodeT5: Identi\ufb01er-aware Uni\ufb01ed Pre-trained Encoder- Decoder Models for Code Understanding and Generation. InProceedings of the 2021 Conference on Empirical Methods in Natural Lan",
  "reconstructed_doi": "10.18653/v1/2021.emnlp-Proc.ACM",
  "ref_index": 64,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}