Unresolvable Identifier

arXiv:2604.18484 · detector doi_compliance · cross_source · 2026-05-20 03:59:57.203554+00:00

critical doi_compliance unresolvable_identifier

Identifier '10.1109/cvpr52733.2024.0206110' 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

Cao, X., Zhou, T., Ma, Y., Ye, W., Cui, C., Tang, K., Cao, Z., Liang, K., Wang, Z., Rehg, J.M., Zheng, C.: Maplm: A real-world large-scale vision-language bench- mark for map and traffic scene understanding. In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 21819–21830 (2024). https://doi.org/10.1109/CVPR52733.2024.0206110

Evidence payload

{
  "arxiv_id": null,
  "checked_sources": [
    "crossref_by_doi",
    "openalex_by_doi",
    "doi_org_head"
  ],
  "doi": "10.1109/cvpr52733.2024.0206110",
  "raw_excerpt": "Cao, X., Zhou, T., Ma, Y., Ye, W., Cui, C., Tang, K., Cao, Z., Liang, K., Wang, Z., Rehg, J.M., Zheng, C.: Maplm: A real-world large-scale vision-language bench- mark for map and traffic scene understanding. In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 21819\u201321830 (2024). https://doi.org/10.1109/CVPR52733.2024.0206110",
  "ref_index": 11,
  "verdict_class": "cross_source"
}