Recoverable Identifier

arXiv:2605.18821 · detector doi_compliance · incontrovertible · 2026-05-20 22:38:36.757773+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/TPS-ISA50397.2020.0002846) 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

D. Edwards, D.B. Rawat,Quantum Adversarial Machine Learning: Status, Challenges and Perspec- tives, in2020 Second IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)(2020), pp. 128–133. https://doi.org/10.1109/TPS-ISA50397. 2020.00028 46

Evidence payload

{
  "printed_excerpt": "D. Edwards, D.B. Rawat,Quantum Adversarial Machine Learning: Status, Challenges and Perspec- tives, in2020 Second IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)(2020), pp. 128\u2013",
  "reconstructed_doi": "10.1109/TPS-ISA50397.2020.0002846",
  "ref_index": 20,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}