Recoverable Identifier

arXiv:2605.04997 · detector doi_compliance · incontrovertible · 2026-05-19 13:57:59.974170+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/TGRS.2021.3120138.Moghadas) 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

Physics-driven deep learning inversion with application to transient electromagnetic data. IEEE Trans. Geosci. Remote Sens. 60, 5901212. doi:10.1109/TGRS.2021.3120138. Moghadas, D.,

Evidence payload

{
  "printed_excerpt": "Physics-driven deep learning inversion with application to transient electromagnetic data. IEEE Trans. Geosci. Remote Sens. 60, 5901212. doi:10.1109/TGRS.2021.3120138. Moghadas, D.,",
  "reconstructed_doi": "10.1109/TGRS.2021.3120138.Moghadas",
  "ref_index": 17,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}