Recoverable Identifier

arXiv:2605.01479 · detector doi_compliance · incontrovertible · 2026-05-19 17:16:33.822210+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/CVPR52734.2025.00769.URL) 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

Z. Wang, J. Guo, J. Zhu, Y . Li, H. Huang, M. Chen, and Z. Tu. Sleepermark: Towards robust watermark against fine-tuning text-to-image diffusion models. In IEEE/CVF Conference 12 on Computer Vision and Pattern Recognition, CVPR 2025, Nashville, TN, USA, June 11-15, 2025, pages 8213–8224. Computer Vision Foundation / IEEE, 2025. doi: 10.1109/CVPR52734. 2025.00769. URL https://openaccess.thecvf.com/content/CVPR2025/html/Wang _SleeperMark_Towards_Robust_Watermark_against_Fine-Tuning_Text-to-image _Diffusion_Models_CVPR_2025_paper.html

Evidence payload

{
  "printed_excerpt": "Z. Wang, J. Guo, J. Zhu, Y . Li, H. Huang, M. Chen, and Z. Tu. Sleepermark: Towards robust watermark against fine-tuning text-to-image diffusion models. In IEEE/CVF Conference 12 on Computer Vision and Pattern Recognition, CVPR 2025, Nashvi",
  "reconstructed_doi": "10.1109/CVPR52734.2025.00769.URL",
  "ref_index": 41,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}