Recoverable Identifier

arXiv:2604.27275 · detector doi_compliance · incontrovertible · 2026-05-19 19:25:10.074791+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2025.findings-acl.34718) 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

https://doi.org/10.18653/v1/2025.findings- acl.347 18 Lindström, A. D., Methnani, L., Krause, L., Ericson, P., de Rituerto de Troya, Í. M., Coelho Mollo, D., & Dobbe, R. (2025). Helpful, harmless, honest? Sociotechnical limits of AI alignment and safety through reinforcement learning from human feedback. Ethics and Information Technology, 27(2), Article

Evidence payload

{
  "printed_excerpt": "https://doi.org/10.18653/v1/2025.findings- acl.347 18 Lindstr\u00f6m, A. D., Methnani, L., Krause, L., Ericson, P., de Rituerto de Troya, \u00cd. M., Coelho Mollo, D., & Dobbe, R. (2025). Helpful, harmless, honest? Sociotechnical limits of AI alignme",
  "reconstructed_doi": "10.18653/v1/2025.findings-acl.34718",
  "ref_index": 2,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}