Recoverable Identifier

arXiv:2605.18340 · detector doi_compliance · incontrovertible · 2026-05-20 00:02:34.956131+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1063/5.0216266/3303820.URL/aip/pof/article/36/7/073620/3303820/Physics-informed-neural-networks-for-periodic) 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

S. Shah, N. K. Anand, Physics-informed neural networks for periodic flows, Physics of Fluids 36 (7 2024).doi:10.1063/5.0216266/3303820. URL/aip/pof/article/36/7/073620/3303820/Physics-informed-neural-networks-for-periodic

Evidence payload

{
  "printed_excerpt": "S. Shah, N. K. Anand, Physics-informed neural networks for periodic flows, Physics of Fluids 36 (7 2024).doi:10.1063/5.0216266/3303820. URL/aip/pof/article/36/7/073620/3303820/Physics-informed-neural-networks-for-periodic",
  "reconstructed_doi": "10.1063/5.0216266/3303820.URL/aip/pof/article/36/7/073620/3303820/Physics-informed-neural-networks-for-periodic",
  "ref_index": 19,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}