Recoverable Identifier

arXiv:2604.26157 · detector doi_compliance · incontrovertible · 2026-05-19 20:26:26.382752+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2022.emnlp-main.337.11) 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

Y. Yao and A. Koller, “Structural Generalization Is Hard for Sequence-to-Sequence Models, ” in Proceed ings of the 2022 Conference on Empirical Methods in Natural Language Processing, Abu Dhabi, United Arab Emirates: Association for Computational Linguistics, 2022, pp. 5048–5062. doi: 10.18653/v1/2022.emnlp- main.337. 11

Evidence payload

{
  "printed_excerpt": "Y. Yao and A. Koller, \u201cStructural Generalization Is Hard for Sequence-to-Sequence Models, \u201d in Proceed\u00ad ings of the 2022 Conference on Empirical Methods in Natural Language Processing, Abu Dhabi, United Arab Emirates: Association for Comput",
  "reconstructed_doi": "10.18653/v1/2022.emnlp-main.337.11",
  "ref_index": 7,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}