Recoverable Identifier

arXiv:2604.21473 · detector doi_compliance · incontrovertible · 2026-05-20 00:57:21.124332+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.24963/ijcai.2019/551.14) 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

Nuo Xu, Pinghui Wang, Long Chen, Jing Tao, and Jun- zhou Zhao. Mr-gnn: Multi-resolution and dual graph neu- ral network for predicting structured entity interactions. InProceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19, pages 3968–3974. International Joint Conferences on Artificial Intelligence Organization, 7 2019. doi: 10.24963/ijcai. 2019/551. 14

Evidence payload

{
  "printed_excerpt": "Nuo Xu, Pinghui Wang, Long Chen, Jing Tao, and Jun- zhou Zhao. Mr-gnn: Multi-resolution and dual graph neu- ral network for predicting structured entity interactions. InProceedings of the Twenty-Eighth International Joint Conference on Arti",
  "reconstructed_doi": "10.24963/ijcai.2019/551.14",
  "ref_index": 42,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}