Recoverable Identifier

arXiv:2605.12213 · detector doi_compliance · incontrovertible · 2026-05-19 07:48:08.677340+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.379.URLhttps://aclanthology.org/2024.emnlp-main.379/) 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

Armin Toroghi, Willis Guo, Ali Pesaranghader, and Scott Sanner. Verifiable, debuggable, and repairable commonsense logical reasoning via LLM-based theory resolution. InProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 6634–6652, Miami, Florida, USA, 2024. Association for Computational Linguistics. doi: 10.18653/v1/2024. emnlp-main.379. URLhttps://aclanthology.org/2024.emnlp-main.379/

Evidence payload

{
  "printed_excerpt": "Armin Toroghi, Willis Guo, Ali Pesaranghader, and Scott Sanner. Verifiable, debuggable, and repairable commonsense logical reasoning via LLM-based theory resolution. InProceedings of the 2024 Conference on Empirical Methods in Natural Langu",
  "reconstructed_doi": "10.18653/v1/2024.emnlp-main.379.URLhttps://aclanthology.org/2024.emnlp-main.379/",
  "ref_index": 31,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}