Recoverable Identifier

arXiv:2604.27263 · detector doi_compliance · incontrovertible · 2026-05-19 19:25:52.347849+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.acl-long.243.URL:https://aclanthology.org/2021.acl-long.243/(visited) 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

Phillip Rust, Jonas Pfeiffer, Ivan Vuli ´c, Sebastian Ruder, and Iryna Gurevych. “How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models”. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). ACL-IJCNLP 2021. Ed. by Chengqing Zong, Fei Xia, Wenjie Li, and Roberto Navigli. Online: Association for Computational Linguistics, Aug. 2021, pp. 3118–3135.DOI: 10.18653/v1/2021.acl- long.243.URL:https://aclanthology.org/2021.acl- long.243/(visited on 01/22/2026)

Evidence payload

{
  "printed_excerpt": "Phillip Rust, Jonas Pfeiffer, Ivan Vuli \u00b4c, Sebastian Ruder, and Iryna Gurevych. \u201cHow Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models\u201d. In: Proceedings of the 59th Annual Meeting of the Association for",
  "reconstructed_doi": "10.18653/v1/2021.acl-long.243.URL:https://aclanthology.org/2021.acl-long.243/(visited",
  "ref_index": 29,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}