Recoverable Identifier

arXiv:2604.21640 · detector doi_compliance · incontrovertible · 2026-05-20 00:47:54.765079+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.3115/v1/d14-1179.url:https://aclanthology.org/D14-1179/) 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

Kyunghyun Cho et al. “Learning Phrase Represen- tations Using RNN Encoder–Decoder for Statistical Machine Translation”. In:Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). EMNLP 2014. Ed. by Alessan- dro Moschitti, Bo Pang, and Walter Daelemans. Doha, Qatar: Association for Computational Linguistics, Oct. 2014, pp. 1724–1734.DOI: 10.3115/v1/D14-1179.URL: https://aclanthology.org/D14-1179/

Evidence payload

{
  "printed_excerpt": "Kyunghyun Cho et al. \u201cLearning Phrase Represen- tations Using RNN Encoder\u2013Decoder for Statistical Machine Translation\u201d. In:Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). EMNLP 2014. Ed. by Al",
  "reconstructed_doi": "10.3115/v1/d14-1179.url:https://aclanthology.org/D14-1179/",
  "ref_index": 6,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}