{"schema":"https://pith.science/schemas/pith-integrity/v1.json","pith_number":"2606.21517","arxiv_id":"2606.21517","integrity":{"available":true,"endpoint":"/pith/2606.21517/integrity.json","summary":{"critical":0,"advisory":1,"informational":0,"by_detector":{"doi_compliance":{"total":1,"critical":0,"advisory":1,"informational":0}}},"clean":false,"detectors_run":[{"name":"doi_compliance","version":"1.0.0","status":"completed","ran_at":"2026-07-12T01:28:35.415746Z","findings_count":1},{"name":"ai_meta_artifact","version":"1.0.0","status":"completed","ran_at":"2026-07-10T23:51:51.994637Z","findings_count":0}],"findings":[{"detector":"doi_compliance","finding_type":"recoverable_identifier","severity":"advisory","verdict_class":"incontrovertible","note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2021.naacl-main.334.19) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.18653/v1/2021.naacl-main.334.19","detected_arxiv_id":null,"ref_index":25,"audited_at":"2026-07-09T20:01:44.444264Z"}],"snapshot_sha256":"7f33e5038f0a1510bbe9fe6b479eca4ebe635d984b88b61d3f930f386be8c58a"},"events":[{"event_id":10583,"event_type":"pith.integrity.v1","payload_sha256":"181f373ba01195fee341f7139a6b0547a547efdb1c42e5a2978161ec612a2883","signature_b64":"KOpRAZOVNKHBnZnaGaiQTCTduxuSQ2Or13pmvz9XePRJUOgDr+SeZteaEJdbZC4vzBQzBvXbUBcgfyu1FGZoCQ==","signing_key_id":"pith-v1-2026-05","created_at":"2026-07-09T20:03:12.433067+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2021.naacl-main.334.19) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"F. Liu, E. Shareghi, Z. Meng, M. Basaldella, N. Collier, Self-alignment pretraining for biomedical entity representations, in: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics","arxiv_id":"2606.21517","detector":"doi_compliance","evidence":{"ref_index":25,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"F. Liu, E. Shareghi, Z. Meng, M. Basaldella, N. Collier, Self-alignment pretraining for biomedical entity representations, in: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics","reconstructed_doi":"10.18653/v1/2021.naacl-main.334.19"},"severity":"advisory","ref_index":25,"audited_at":"2026-07-09T20:01:44.444264Z","event_type":"pith.integrity.v1","detected_doi":"10.18653/v1/2021.naacl-main.334.19","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"4236f22e1631ff51b95b65ee01ba38e1bf41d51eed64c3b902166552e39df977","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}}],"endpoint_self":"/pith/2606.21517/integrity.json","protocol_url":"https://pith.science/pith-integrity-protocol"}