Recoverable Identifier

arXiv:2605.17325 · detector doi_compliance · incontrovertible · 2026-05-19 23:52:41.527262+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/AC-CESS.2024.3454211) 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

A. Vyas, P .-C. Lin, R.-H. Hwang and M. Tripathi, ‘‘Privacy-Preserving Federated Learning for Intrusion Detection in IoT Environments: A Sur- vey’’,IEEE Access, vol. 12, pp. 127018-127050, 2024, doi: 10.1109/AC- CESS.2024.3454211

Evidence payload

{
  "printed_excerpt": "A. Vyas, P .-C. Lin, R.-H. Hwang and M. Tripathi, \u2018\u2018Privacy-Preserving Federated Learning for Intrusion Detection in IoT Environments: A Sur- vey\u2019\u2019,IEEE Access, vol. 12, pp. 127018-127050, 2024, doi: 10.1109/AC- CESS.2024.3454211",
  "reconstructed_doi": "10.1109/AC-CESS.2024.3454211",
  "ref_index": 3,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}