Recoverable Identifier

arXiv:2605.17036 · detector doi_compliance · incontrovertible · 2026-05-19 20:20:45.983094+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1080/24725854.2023.2217248.Niki) 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

doi: 10.1080/24725854. 2023.2217248. Niki Kotecha and Antonio del Rio Chanona. Leveraging graph neural networks and multi-agent reinforcement learning for inventory control in supply chains.Computers & Chemical Engineering, 199:109111,

Evidence payload

{
  "printed_excerpt": "doi: 10.1080/24725854. 2023.2217248. Niki Kotecha and Antonio del Rio Chanona. Leveraging graph neural networks and multi-agent reinforcement learning for inventory control in supply chains.Computers & Chemical Engineering, 199:109111,",
  "reconstructed_doi": "10.1080/24725854.2023.2217248.Niki",
  "ref_index": 7,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}