Recoverable Identifier

arXiv:2605.20595 · detector doi_compliance · incontrovertible · 2026-05-21 05:23:22.835695+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/TITS.2023.3284574.Mehrnaz) 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

X. Chen, S. Leng, J. He, L. Zhou, and H. Liu, "The upper bounds of cellular vehicle-to-vehicle communication latency for platoon-based autonomous driving," IEEE Trans. Intell. Transp. Syst., vol. 24, no. 7, pp. 6874–6887, Jul. 2023, doi: 10.1109/TITS.2023.3284574. Mehrnaz Sabet is a Ph.D. candidate in the College of Computing and Information Science at Cornell University, Ithaca, NY, USA. She leads research on collaborative aerial autonomy in the Collaborative Technologies Lab, where she develops multi-agent machine learning and simulation systems for unmanned aircraft systems and human-autonomy teaming. She is the Principal Investigator of a NASA-funded multi-year project on AI-enabled traffic management for Advanced Air Mobility. Her research interests include aerial robotics, multi-agent autonomy, human-autonomy interaction, and autonomy safety validation. She has received research awards from NSF, NASA, and Cornell Engineering and serves in national leadership roles through the AIAA Human–Machine Teaming Technical Committee. She received the M.S. degree in information science from Cornell University, Ithaca, NY, USA

Evidence payload

{
  "printed_excerpt": "X. Chen, S. Leng, J. He, L. Zhou, and H. Liu, \"The upper bounds of cellular vehicle-to-vehicle communication latency for platoon-based autonomous driving,\" IEEE Trans. Intell. Transp. Syst., vol. 24, no. 7, pp. 6874\u20136887, Jul. 2023, doi: 10",
  "reconstructed_doi": "10.1109/TITS.2023.3284574.Mehrnaz",
  "ref_index": 35,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}