pith. sign in

Recoverable Identifier

arXiv:2604.24104 · detector doi_compliance · incontrovertible · 2026-05-19 22:25:11.715282+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.eacl-short.33.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

URL https://aclanthology.org/2022. emnlp-main.321/. Ho, J., Jain, A., and Abbeel, P. Denoising diffusion proba- bilistic models. InProceedings of the 34th International Conference on Neural Information Processing Systems, NIPS ’20, Red Hook, NY , USA, 2020. Curran Associates Inc. ISBN 9781713829546. Hu, V ., Wu, D., Asano, Y ., Mettes, P., Fernando, B., Om- mer, B., and Snoek, C. Flow matching for conditional text generation in a few sampling steps. In Graham, Y . and Purver, M. (eds.),Proceedings of the 18th Con- ference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 380–392, St. Julian’s, Malta, March 2024. Associa- tion for Computational Linguistics. doi: 10.18653/v1/ 2024.eacl-short.33. URL https://aclanthology. org/2024.eacl-short.33/. Huang, Y ., Lu, W., Robinson, J., Yang, Y ., Zhang, M., Jegelka, S., and Li, P. On the stability of expressive positional encodings for graphs. InThe Twelfth In- ternational Conference on Learning Representations,

Evidence payload

{
  "printed_excerpt": "URL https://aclanthology.org/2022. emnlp-main.321/. Ho, J., Jain, A., and Abbeel, P. Denoising diffusion proba- bilistic models. InProceedings of the 34th International Conference on Neural Information Processing Systems, NIPS \u201920, Red Hook",
  "reconstructed_doi": "10.18653/v1/2024.eacl-short.33.URL",
  "ref_index": 6,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}