Recoverable Identifier

arXiv:2605.15626 · detector doi_compliance · incontrovertible · 2026-05-20 21:23:40.183699+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2025.naacl-long.217.URLhttps://aclanthology.org/2025.naacl-long.217/) 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

Xin Wang, Samiul Alam, Zhongwei Wan, Hui Shen, and Mi Zhang. SVD-LLM v2: Optimizing singular value truncation for large language model compression. In Luis Chiruzzo, Alan Ritter, and Lu Wang, editors, Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 4287–4296, Albuquerque, New Mexico, April 2025. Association for Computational Linguistics. ISBN 979-8-89176-189-6. doi: 10.18653/v1/ 2025.naacl-long.217. URLhttps://aclanthology.org/2025.naacl-long.217/

Evidence payload

{
  "printed_excerpt": "Xin Wang, Samiul Alam, Zhongwei Wan, Hui Shen, and Mi Zhang. SVD-LLM v2: Optimizing singular value truncation for large language model compression. In Luis Chiruzzo, Alan Ritter, and Lu Wang, editors, Proceedings of the 2025 Conference of t",
  "reconstructed_doi": "10.18653/v1/2025.naacl-long.217.URLhttps://aclanthology.org/2025.naacl-long.217/",
  "ref_index": 41,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}