Recoverable Identifier
advisory
doi_compliance
recoverable_identifier
DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2020.emnlp-main.437.URLhttps://aclanthology.org/2020.emnlp-main.437/.Robertson) 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
URLhttps://aclanthology.org/2024. customnlp4u-1.16/. Neverova, N., Wolf, C., Lacey, G., Fridman, L., Chandra, D., Barbello, B., and Taylor, G. Learning human identity from motion patterns.IEEE Access, 4:1810–1820, 2016. OpenAI. gpt-oss-120b & gpt-oss-20b model card, 2025. URLhttps://arxiv.org/abs/2508.10925. Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., et al. Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022. Park, J. S., O’Brien, J., Cai, C. J., Morris, M. R., Liang, P., and Bernstein, M. S. Generative agents: Interactive simulacra of human behavior. InProceedings of the 36th annual acm symposium on user interface software and technology, pp. 1–22, 2023. Park, T., Lee, G., and Kim, M.-S. Mobilerag: A fast, memory-efficient, and energy-efficient method for on- device rag.arXiv preprint arXiv:2507.01079, 2025. Purificato, E., Boratto, L., and De Luca, E. W. User mod- eling and user profiling: A comprehensive survey.arXiv preprint arXiv:2402.09660, 2024. Qwen Team. Qwen3 technical report, 2025. URLhttps: //arxiv.org/abs/2505.09388. Ram, O., Levine, Y ., Dalmedigos, I., Muhlgay, D., Shashua, A., Leyton-Brown, K., and Shoham, Y . In- context retrieval-augmented language models.Transac- tions of the Association for Computational Linguistics, 11:1316–1331, 2023. Roberts, A., Raffel, C., and Shazeer, N. How much knowl- edge
Evidence payload
{
"printed_excerpt": "URLhttps://aclanthology.org/2024. customnlp4u-1.16/. Neverova, N., Wolf, C., Lacey, G., Fridman, L., Chandra, D., Barbello, B., and Taylor, G. Learning human identity from motion patterns.IEEE Access, 4:1810\u20131820, 2016. OpenAI. gpt-oss-120b",
"reconstructed_doi": "10.18653/v1/2020.emnlp-main.437.URLhttps://aclanthology.org/2020.emnlp-main.437/.Robertson",
"ref_index": 4,
"resolved_title": null,
"verdict_class": "incontrovertible"
}