Recoverable Identifier

arXiv:2605.06416 · detector doi_compliance · incontrovertible · 2026-05-19 12:43:26.660171+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2024.emnlp-main.948.10) 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

Marzena Karpinska, Katherine Thai, Kyle Lo, Tanya Goyal, and Mohit Iyyer. One thousand and one pairs: A "novel" challenge for long-context language models. InProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, 2024. URL https://doi.org/10.18653/v1/ 2024.emnlp-main.948. 10

Evidence payload

{
  "printed_excerpt": "Marzena Karpinska, Katherine Thai, Kyle Lo, Tanya Goyal, and Mohit Iyyer. One thousand and one pairs: A \"novel\" challenge for long-context language models. InProceedings of the 2024 Conference on Empirical Methods in Natural Language Proces",
  "reconstructed_doi": "10.18653/v1/2024.emnlp-main.948.10",
  "ref_index": 16,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}