{"schema":"https://pith.science/schemas/pith-integrity/v1.json","pith_number":"2605.05424","arxiv_id":"2605.05424","integrity":{"available":true,"endpoint":"/pith/2605.05424/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":"ai_meta_artifact","version":"1.0.0","status":"completed","ran_at":"2026-05-20T09:41:43.134712Z","findings_count":0},{"name":"doi_title_agreement","version":"1.0.0","status":"completed","ran_at":"2026-05-19T20:31:19.744320Z","findings_count":0},{"name":"doi_compliance","version":"1.0.0","status":"completed","ran_at":"2026-05-19T13:35:33.716740Z","findings_count":1}],"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 (10.1016/j.hcc.2024.10021132) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1016/j.hcc.2024.10021132","detected_arxiv_id":null,"ref_index":3,"audited_at":"2026-05-19T13:35:33.716740Z"}],"snapshot_sha256":"549396fcd4e8018d59f4080c430571d68b7ba8a42c712a3ac67869497f440f6e"},"events":[{"event_id":1487,"event_type":"pith.integrity.v1","payload_sha256":"4d194ce60e260eb360bf7e905ce90291d5e504093bec195ef0d8f03a554dafa0","signature_b64":"G2FglCzkr0DpYxKDYD+JLecCx3CgcywPPElgxt67YpF36PYvf9YBBNTzkvE9i8rT8zzXQzfChNbCFAU7jWdNBw==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-19T13:37:05.467857+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1016/j.hcc.2024.10021132) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Yao, Y., Duan, J., Xu, K., Cai, Y., Sun, Z., Zhang, Y.: A survey on large language model (llm) security and privacy: The good, the bad, and the ugly. High-Confidence Computing4(2), 100211 (2024) https://doi.org/10.1016/j.hcc. 2024.100211 32","arxiv_id":"2605.05424","detector":"doi_compliance","evidence":{"ref_index":3,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Yao, Y., Duan, J., Xu, K., Cai, Y., Sun, Z., Zhang, Y.: A survey on large language model (llm) security and privacy: The good, the bad, and the ugly. High-Confidence Computing4(2), 100211 (2024) https://doi.org/10.1016/j.hcc. 2024.100211 32","reconstructed_doi":"10.1016/j.hcc.2024.10021132"},"severity":"advisory","ref_index":3,"audited_at":"2026-05-19T13:35:33.716740Z","event_type":"pith.integrity.v1","detected_doi":"10.1016/j.hcc.2024.10021132","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"e6475d4c0eacb01c06ab8e0c66d990feb39635fc164d4bb83bd8f1f3a31a46c7","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}}],"endpoint_self":"/pith/2605.05424/integrity.json","protocol_url":"https://pith.science/pith-integrity-protocol"}