{"schema":"https://pith.science/schemas/pith-integrity/v1.json","pith_number":"2607.12586","arxiv_id":"2607.12586","integrity":{"available":true,"endpoint":"/pith/2607.12586/integrity.json","summary":{"critical":4,"advisory":3,"informational":0,"by_detector":{"doi_compliance":{"total":7,"critical":4,"advisory":3,"informational":0}}},"clean":false,"detectors_run":[{"name":"doi_compliance","version":"1.1.0","status":"completed","ran_at":"2026-08-03T09:01:21.386433Z","findings_count":5},{"name":"doi_title_agreement","version":"1.0.0","status":"completed","ran_at":"2026-08-01T08:39:00.550842Z","findings_count":0},{"name":"ai_meta_artifact","version":"1.0.0","status":"completed","ran_at":"2026-07-22T03:51:20.629584Z","findings_count":0},{"name":"claim_evidence","version":"1.0.0","status":"completed","ran_at":"2026-07-21T15:28:50.210521Z","findings_count":0},{"name":"citation_quote_validity","version":"0.1.0","status":"completed","ran_at":"2026-07-15T11:56:56.033184Z","findings_count":0},{"name":"cited_work_retraction","version":"1.0.0","status":"completed","ran_at":"2026-07-15T08:50:05.482398Z","findings_count":0}],"findings":[{"detector":"doi_compliance","finding_type":"unresolvable_identifier","severity":"critical","verdict_class":"cross_source","note":"Identifier '10.1137/24m1705811' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","detected_doi":"10.1137/24m1705811","detected_arxiv_id":null,"ref_index":34,"audited_at":"2026-07-30T08:21:37.752949Z"},{"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 (10.1007/s10462-020-09825-6) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1007/s10462-020-09825-6","detected_arxiv_id":null,"ref_index":5,"audited_at":"2026-07-30T08:21:37.752949Z"},{"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 (10.1038/s41598-025-10517-w) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1038/s41598-025-10517-w","detected_arxiv_id":null,"ref_index":21,"audited_at":"2026-07-30T08:21:37.752949Z"},{"detector":"doi_compliance","finding_type":"unresolvable_identifier","severity":"critical","verdict_class":"cross_source","note":"Identifier '10.1016/j.compbiomed.2025.108742' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","detected_doi":"10.1016/j.compbiomed.2025.108742","detected_arxiv_id":null,"ref_index":25,"audited_at":"2026-07-30T08:21:37.752949Z"},{"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 (10.1007/s42979-025-04633-7) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1007/s42979-025-04633-7","detected_arxiv_id":null,"ref_index":32,"audited_at":"2026-07-30T08:21:37.752949Z"},{"detector":"doi_compliance","finding_type":"unresolvable_identifier","severity":"critical","verdict_class":"cross_source","note":"Identifier '10.1137/24m1705811' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","detected_doi":"10.1137/24m1705811","detected_arxiv_id":null,"ref_index":34,"audited_at":"2026-07-15T05:02:28.757083Z"},{"detector":"doi_compliance","finding_type":"unresolvable_identifier","severity":"critical","verdict_class":"cross_source","note":"Identifier '10.1016/j.compbiomed.2025.108742' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","detected_doi":"10.1016/j.compbiomed.2025.108742","detected_arxiv_id":null,"ref_index":25,"audited_at":"2026-07-15T05:02:28.757083Z"}],"snapshot_sha256":"0c974b0f3f922b1ccd9a2a7c832976c47890b29f0d8a95c9e3f84a35f2427def"},"events":[{"event_id":13806,"event_type":"pith.integrity.v1","payload_sha256":"e13379ff8eb9ea103728de01642f194bc5c1b90111f1c24d9ad3daf9270d6702","signature_b64":null,"signing_key_id":null,"created_at":"2026-07-30T08:26:19.763077+00:00","payload":{"note":"Identifier '10.1137/24m1705811' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"Laux T, Swanson D. A median filter scheme for mean curvature flow. SIAM J Numer Anal. 2025;63(4):1823-1847. doi:10.1137/24M1705811","arxiv_id":"2607.12586","detector":"doi_compliance","evidence":{"doi":"10.1137/24m1705811","arxiv_id":null,"ref_index":34,"raw_excerpt":"Laux T, Swanson D. A median filter scheme for mean curvature flow. SIAM J Numer Anal. 2025;63(4):1823-1847. doi:10.1137/24M1705811","parse_status":"well_formed","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"],"resolution_status":"hard_miss"},"severity":"critical","ref_index":34,"audited_at":"2026-07-30T08:21:37.752949Z","event_type":"pith.integrity.v1","detected_doi":"10.1137/24m1705811","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"1d99f149a52e352fe09020b1dc77a36771ed0d40b6a601444464354562f352aa","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null}},{"event_id":13805,"event_type":"pith.integrity.v1","payload_sha256":"9518b10aa7d069b4fa04bb5ea43560445e8c4efcbaeb306b097448e956bb1086","signature_b64":null,"signing_key_id":null,"created_at":"2026-07-30T08:26:19.703449+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1007/s42979-025-04633-7) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Asha SB, Gopakumar G. Discriminative curvature regularization loss for boundary segmentation in microscopy cell images. SN Comput Sci. 2026;7:64. doi:10.1007/s42979-025- 04633-7","arxiv_id":"2607.12586","detector":"doi_compliance","evidence":{"ref_index":32,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1007/s42979-025-","reconstructed_doi":"10.1007/s42979-025-04633-7"},"severity":"advisory","ref_index":32,"audited_at":"2026-07-30T08:21:37.752949Z","event_type":"pith.integrity.v1","detected_doi":"10.1007/s42979-025-04633-7","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"b4846dfbcaf500af2513b76478de52b311d9d9a1806cf671f68ba642a040bdf0","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null}},{"event_id":13804,"event_type":"pith.integrity.v1","payload_sha256":"a4b7b8def0fa37c2301b1ac22de86b7dc22d7a89b1e87914e285003a4de07f1f","signature_b64":null,"signing_key_id":null,"created_at":"2026-07-30T08:26:19.697582+00:00","payload":{"note":"Identifier '10.1016/j.compbiomed.2025.108742' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"Liu Y, Zhang K, Tai XC, et al. CurvDrop: data-efficient learning for medical image segmentation via curvature-based sample selection. Comput Biol Med. 2025;189:108742. doi:10.1016/j.compbiomed.2025.108742","arxiv_id":"2607.12586","detector":"doi_compliance","evidence":{"doi":"10.1016/j.compbiomed.2025.108742","arxiv_id":null,"ref_index":25,"raw_excerpt":"Liu Y, Zhang K, Tai XC, et al. CurvDrop: data-efficient learning for medical image segmentation via curvature-based sample selection. Comput Biol Med. 2025;189:108742. doi:10.1016/j.compbiomed.2025.108742","parse_status":"well_formed","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"],"resolution_status":"hard_miss"},"severity":"critical","ref_index":25,"audited_at":"2026-07-30T08:21:37.752949Z","event_type":"pith.integrity.v1","detected_doi":"10.1016/j.compbiomed.2025.108742","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"d0de94e04239c755b0183c92020948f02ca3bc5c4d0fdca79c0bb81c0606676b","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null}},{"event_id":13803,"event_type":"pith.integrity.v1","payload_sha256":"737c86fd57f82fc47408c4d48721cf305ce2973153a6686893f86f7a4e6ca18a","signature_b64":null,"signing_key_id":null,"created_at":"2026-07-30T08:26:19.690930+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1038/s41598-025-10517-w) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Wong WK, Jiang X, Chan KC, et al. A novel deep neural architecture for efficient and scalable multi-domain image classification. Sci Rep. 2025;15:10517. doi:10.1038/s41598-025- 10517-w","arxiv_id":"2607.12586","detector":"doi_compliance","evidence":{"ref_index":21,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1038/s41598-025-","reconstructed_doi":"10.1038/s41598-025-10517-w"},"severity":"advisory","ref_index":21,"audited_at":"2026-07-30T08:21:37.752949Z","event_type":"pith.integrity.v1","detected_doi":"10.1038/s41598-025-10517-w","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"19312a5aac293f1ae141f1c91e35b72c8f5c225ce6d08792b2f25baaeb0c5a1b","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null}},{"event_id":13802,"event_type":"pith.integrity.v1","payload_sha256":"4e89eff22243b5746997550b9b271f357bfa37258e1a5a745eedb89fd0a457d9","signature_b64":null,"signing_key_id":null,"created_at":"2026-07-30T08:26:19.682648+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1007/s10462-020-09825-6) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Khan A, Sohail A, Zahoora U, Qureshi AS. A survey of the recent architectures of deep convolutional neural networks. Artif Intell Rev. 2025;58(5):190. doi:10.1007/s10462-020-09825- 6","arxiv_id":"2607.12586","detector":"doi_compliance","evidence":{"ref_index":5,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1007/s10462-020-09825-","reconstructed_doi":"10.1007/s10462-020-09825-6"},"severity":"advisory","ref_index":5,"audited_at":"2026-07-30T08:21:37.752949Z","event_type":"pith.integrity.v1","detected_doi":"10.1007/s10462-020-09825-6","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"8ffa5b765353ffe82e8c98646cb5f74d011eae8e47cc8b979ee1c8d9c931effc","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null}},{"event_id":13415,"event_type":"pith.integrity.v1","payload_sha256":"ddff7a92e6667d27a4538ff83a900ae39accb73bd93d33b9a660c7c1dc915ed9","signature_b64":"/IRaLiYR1scz6f9HLAa2HfIgP4KCZtzrIV/Hk1HvADjUNqUcwG2yH90WUwbaRE8kjHAaLx7WBDsvldNaUsX0Cg==","signing_key_id":"pith-v1-2026-05","created_at":"2026-07-15T05:07:27.826897+00:00","payload":{"note":"Identifier '10.1137/24m1705811' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"Laux T, Swanson D. A median filter scheme for mean curvature flow. SIAM J Numer Anal. 2025;63(4):1823-1847. doi:10.1137/24M1705811","arxiv_id":"2607.12586","detector":"doi_compliance","evidence":{"doi":"10.1137/24m1705811","arxiv_id":null,"ref_index":34,"raw_excerpt":"Laux T, Swanson D. A median filter scheme for mean curvature flow. SIAM J Numer Anal. 2025;63(4):1823-1847. doi:10.1137/24M1705811","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"]},"severity":"critical","ref_index":34,"audited_at":"2026-07-15T05:02:28.757083Z","event_type":"pith.integrity.v1","detected_doi":"10.1137/24m1705811","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"7a0ee08a95de4989603076c5d744ab443af344dc9ed31805b3bca8d4468755e1","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}},{"event_id":13414,"event_type":"pith.integrity.v1","payload_sha256":"02215d7ad2f4646202e985070d474c86bf12281aab22e987b93759026fadee57","signature_b64":"2UyPwjQBcbqYVMHhCUa+lBNSJuzIglQ9mCm1HWv8ve8FGhit3Cwsxze8xi9Tj08FQTB/iVeIQxp0lYbE7V0QDg==","signing_key_id":"pith-v1-2026-05","created_at":"2026-07-15T05:07:27.822404+00:00","payload":{"note":"Identifier '10.1016/j.compbiomed.2025.108742' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"Liu Y, Zhang K, Tai XC, et al. CurvDrop: data-efficient learning for medical image segmentation via curvature-based sample selection. Comput Biol Med. 2025;189:108742. doi:10.1016/j.compbiomed.2025.108742","arxiv_id":"2607.12586","detector":"doi_compliance","evidence":{"doi":"10.1016/j.compbiomed.2025.108742","arxiv_id":null,"ref_index":25,"raw_excerpt":"Liu Y, Zhang K, Tai XC, et al. CurvDrop: data-efficient learning for medical image segmentation via curvature-based sample selection. Comput Biol Med. 2025;189:108742. doi:10.1016/j.compbiomed.2025.108742","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"]},"severity":"critical","ref_index":25,"audited_at":"2026-07-15T05:02:28.757083Z","event_type":"pith.integrity.v1","detected_doi":"10.1016/j.compbiomed.2025.108742","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"156ba17d3831911d2fcfff7104c5d76966d770053aeec3b85c8b87e09ad6f81c","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}}],"endpoint_self":"/pith/2607.12586/integrity.json","protocol_url":"https://pith.science/pith-integrity-protocol"}