Unresolvable Identifier

arXiv:2604.22226 · detector doi_compliance · cross_source · 2026-05-20 00:12:39.924367+00:00

critical doi_compliance unresolvable_identifier

Identifier '10.18653/v1/2023.emnlp-demo.4911' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.

Paper page Integrity report arXiv Try DOI

Evidence text

Zhang, H., Li, X., Bing, L.: Video-LLaMA: An instruction-tuned audio-visual lan- guage model for video understanding. In: Feng, Y., Lefever, E. (eds.) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. pp. 543–553. Association for Computational Linguistics, Singapore (Dec 2023).https://doi.org/10.18653/v1/2023.emnlp-demo.4911

Evidence payload

{
  "arxiv_id": null,
  "checked_sources": [
    "crossref_by_doi",
    "openalex_by_doi",
    "doi_org_head"
  ],
  "doi": "10.18653/v1/2023.emnlp-demo.4911",
  "raw_excerpt": "Zhang, H., Li, X., Bing, L.: Video-LLaMA: An instruction-tuned audio-visual lan- guage model for video understanding. In: Feng, Y., Lefever, E. (eds.) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. pp. 543\u2013553. Association for Computational Linguistics, Singapore (Dec 2023).https://doi.org/10.18653/v1/2023.emnlp-demo.4911",
  "ref_index": 50,
  "verdict_class": "cross_source"
}