{"schema":"https://pith.science/schemas/pith-integrity/v1.json","pith_number":"2604.20474","arxiv_id":"2604.20474","integrity":{"available":true,"endpoint":"/pith/2604.20474/integrity.json","summary":{"critical":0,"advisory":2,"informational":0,"by_detector":{"doi_compliance":{"total":2,"critical":0,"advisory":2,"informational":0}}},"clean":false,"detectors_run":[{"name":"ai_meta_artifact","version":"1.0.0","status":"completed","ran_at":"2026-05-21T14:39:30.591996Z","findings_count":0},{"name":"doi_compliance","version":"1.0.0","status":"completed","ran_at":"2026-05-20T01:52:58.031979Z","findings_count":2}],"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 (10.1111/cgf.14078.http://dx.doi.org/10.1111/cgf.14078) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1111/cgf.14078.http://dx.doi.org/10.1111/cgf.14078","detected_arxiv_id":null,"ref_index":12,"audited_at":"2026-05-20T01:52:58.031979Z"},{"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 (10.1145/3528223.3530140.19) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1145/3528223.3530140.19","detected_arxiv_id":null,"ref_index":33,"audited_at":"2026-05-20T01:52:58.031979Z"}],"snapshot_sha256":"e3574e1ebabbe7553aa2c952ebf1db146f2196a96b4831259b1598176c0f723f"},"events":[{"event_id":4158,"event_type":"pith.integrity.v1","payload_sha256":"e6b9a4761512a889b217ec86128d49d0aa22d2232d2c4a8829f6c16c3b6df407","signature_b64":"QMkbCAzuV5JAWCGk3PZTihsqVH89dxZO9dg/RslnqvZqRafKlZJhEqgCOGlRS1aGqDkB30rvom+BUssUqegYCQ==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-20T01:57:39.119653+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1145/3528223.3530140.19) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Matveev A, Rakhimov R, Artemov A, Bobrovskikh G, Egiazarian V, Bogomolov E, et al. Def: Deep estimation of sharp geometric features in 3d shapes. ACM Trans Graph 2022;41(4).http://dx.doi.org/10.1145/352 8223.3530140. 19","arxiv_id":"2604.20474","detector":"doi_compliance","evidence":{"ref_index":33,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Matveev A, Rakhimov R, Artemov A, Bobrovskikh G, Egiazarian V, Bogomolov E, et al. Def: Deep estimation of sharp geometric features in 3d shapes. ACM Trans Graph 2022;41(4).http://dx.doi.org/10.1145/352 8223.3530140. 19","reconstructed_doi":"10.1145/3528223.3530140.19"},"severity":"advisory","ref_index":33,"audited_at":"2026-05-20T01:52:58.031979Z","event_type":"pith.integrity.v1","detected_doi":"10.1145/3528223.3530140.19","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"4958393a88135564471e7342ce357a631e17c1bb7bb690e405ff92fd9a459149","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}},{"event_id":4157,"event_type":"pith.integrity.v1","payload_sha256":"331944508012b418fe8f9afa9a12dff788d980f367abd9f1aad78deba3f95eec","signature_b64":"JxA2lc6BbFzwhOcxZgwh4BCdBgfhnJ1YSjbMysG1SdZ6jq5yTXnbNDI7sgkxEmsW6bFI9z9fwtN6nOUkC5/TDQ==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-20T01:57:39.113981+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1111/cgf.14078.http://dx.doi.org/10.1111/cgf.14078) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Loizou M, Averkiou M, Kalogerakis E. Learning part boundaries from 3d point clouds. Comput Graph Forum 2020;39(5):183–195.http://dx.doi.org/10.1111/cgf.14078.http://dx.doi.org/10.1111/cgf.1 4078","arxiv_id":"2604.20474","detector":"doi_compliance","evidence":{"ref_index":12,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Loizou M, Averkiou M, Kalogerakis E. Learning part boundaries from 3d point clouds. Comput Graph Forum 2020;39(5):183–195.http://dx.doi.org/10.1111/cgf.14078.http://dx.doi.org/10.1111/cgf.1 4078","reconstructed_doi":"10.1111/cgf.14078.http://dx.doi.org/10.1111/cgf.14078"},"severity":"advisory","ref_index":12,"audited_at":"2026-05-20T01:52:58.031979Z","event_type":"pith.integrity.v1","detected_doi":"10.1111/cgf.14078.http://dx.doi.org/10.1111/cgf.14078","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"ea0ddd5627afeca16e595714b8b67589606bd25a48789a3822c4aecea4ff868e","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}}],"endpoint_self":"/pith/2604.20474/integrity.json","protocol_url":"https://pith.science/pith-integrity-protocol"}