{"schema":"https://pith.science/schemas/pith-integrity/v1.json","pith_number":"2605.03044","arxiv_id":"2605.03044","integrity":{"available":true,"endpoint":"/pith/2605.03044/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":"2026-05-20T14:39:13.329500Z","findings_count":0},{"name":"doi_title_agreement","version":"1.0.0","status":"completed","ran_at":"2026-05-20T02:01:22.122616Z","findings_count":0},{"name":"doi_compliance","version":"1.0.0","status":"completed","ran_at":"2026-05-19T15:46:20.725047Z","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 (10.1080/10485252.2025.2505639.29) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1080/10485252.2025.2505639.29","detected_arxiv_id":null,"ref_index":19,"audited_at":"2026-05-19T15:46:20.725047Z"}],"snapshot_sha256":"9a051059128ef95bd9739657cac6789a2928165df5034c4cdf0e932029016303"},"events":[{"event_id":1912,"event_type":"pith.integrity.v1","payload_sha256":"b395c88eb2170866eb6524ed58dd4757aa838bd471a6a1a05b45999f8e1e262d","signature_b64":"bYDemaUBQpBSC58jccCMrmDI7NvpOdRkKK4C09dVy05A00sSavG6UdDvdwUJ+WnrgjxmRU+Ve0D5z+XBPrqsBw==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-19T15:47:11.266272+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1080/10485252.2025.2505639.29) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"B. Funke and M. Hirukawa. Nonparametric estimation of splicing points in skewed cost distributions: a kernel-based approach.J. Nonparametr. Stat., pages 1–40, 2025.DOI:10.1080/10485252.2025. 2505639. 29","arxiv_id":"2605.03044","detector":"doi_compliance","evidence":{"ref_index":19,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"B. Funke and M. Hirukawa. Nonparametric estimation of splicing points in skewed cost distributions: a kernel-based approach.J. Nonparametr. Stat., pages 1–40, 2025.DOI:10.1080/10485252.2025. 2505639. 29","reconstructed_doi":"10.1080/10485252.2025.2505639.29"},"severity":"advisory","ref_index":19,"audited_at":"2026-05-19T15:46:20.725047Z","event_type":"pith.integrity.v1","detected_doi":"10.1080/10485252.2025.2505639.29","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"47e50b665919c415b061296649c0119f2b1cb55979623ffca63952fb0f486ae4","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}}],"endpoint_self":"/pith/2605.03044/integrity.json","protocol_url":"https://pith.science/pith-integrity-protocol"}