Recoverable Identifier

arXiv:2605.01283 · detector doi_compliance · incontrovertible · 2026-05-19 17:27:38.067742+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/icASET53395.2022.9765923) 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

B. Tej, F. Nasri, and A. Mtibaa, “Detection of pepper and tomato leaf diseases us- ing deep learning techniques,” in 2022 5th international conference on advanced systems and emergent technologies (IC ASET). IEEE, 2022, pp. 149–154. doi: 10.1109/IC ASET53395.2022.9765923

Evidence payload

{
  "printed_excerpt": "B. Tej, F. Nasri, and A. Mtibaa, \u201cDetection of pepper and tomato leaf diseases us- ing deep learning techniques,\u201d in 2022 5th international conference on advanced systems and emergent technologies (IC ASET). IEEE, 2022, pp. 149\u2013154. doi: 10",
  "reconstructed_doi": "10.1109/icASET53395.2022.9765923",
  "ref_index": 28,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}