Recoverable Identifier

arXiv:2604.19728 · detector doi_compliance · incontrovertible · 2026-05-20 02:38:10.455797+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1145/3394486.3406703.url:https://github.com/deepspeedai/DeepSpeed) 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

Jeff Rasley et al. “DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters”. In:Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM, 2020, pp. 3505–3506.doi:10.1145/3394486.3406703.url: https://github.com/deepspeedai/DeepSpeed. 17

Evidence payload

{
  "printed_excerpt": "Jeff Rasley et al. \u201cDeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters\u201d. In:Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM, 2020, pp. ",
  "reconstructed_doi": "10.1145/3394486.3406703.url:https://github.com/deepspeedai/DeepSpeed",
  "ref_index": 57,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}