Recoverable Identifier

arXiv:2605.20490 · detector doi_compliance · incontrovertible · 2026-05-21 06:43:43.253340+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2023.emnlp-main.330.URLhttps://aclanthology.org/2023.emnlp-main.330/) 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

K. Tian, E. Mitchell, A. Zhou, A. Sharma, R. Rafailov, H. Yao, C. Finn, and C. Manning. Just ask for calibration: Strategies for eliciting calibrated confidence scores from language models fine-tuned with human feedback. In H. Bouamor, J. Pino, and K. Bali, editors,Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 5433–5442, Singapore, Dec. 2023. Association for Computational Linguistics. doi: 10.18653/v1/2023. emnlp-main.330. URLhttps://aclanthology.org/2023.emnlp-main.330/

Evidence payload

{
  "printed_excerpt": "K. Tian, E. Mitchell, A. Zhou, A. Sharma, R. Rafailov, H. Yao, C. Finn, and C. Manning. Just ask for calibration: Strategies for eliciting calibrated confidence scores from language models fine-tuned with human feedback. In H. Bouamor, J. P",
  "reconstructed_doi": "10.18653/v1/2023.emnlp-main.330.URLhttps://aclanthology.org/2023.emnlp-main.330/",
  "ref_index": 80,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}