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A longer candidate (10.1016/j.socscimed.2025.118212.PMID:40472644) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1016/j.socscimed.2025.118212.PMID:40472644","detected_arxiv_id":null,"ref_index":28,"audited_at":"2026-05-20T04:01:49.281792Z"},{"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 (10.1186/s12955-024-02227-0.PMID:38481231) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1186/s12955-024-02227-0.PMID:38481231","detected_arxiv_id":null,"ref_index":3,"audited_at":"2026-05-20T04:01:49.281792Z"},{"detector":"doi_compliance","finding_type":"broken_identifier","severity":"critical","verdict_class":"incontrovertible","note":"DOI '10.1038/s43018-021-00236-' as printed in the bibliography is syntactically invalid and cannot resolve.","detected_doi":"10.1038/s43018-021-00236-","detected_arxiv_id":null,"ref_index":14,"audited_at":"2026-05-20T04:01:49.281792Z"},{"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 (10.1186/s13059-022-02677-z.PMID:35538548) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1186/s13059-022-02677-z.PMID:35538548","detected_arxiv_id":null,"ref_index":20,"audited_at":"2026-05-20T04:01:49.281792Z"},{"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 (10.1007/978-3-540-74048-3_4.19) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1007/978-3-540-74048-3_4.19","detected_arxiv_id":null,"ref_index":43,"audited_at":"2026-05-20T04:01:49.281792Z"},{"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. 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A longer candidate (10.1007/s40615-023-01872-3.PMID:38038904) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1007/s40615-023-01872-3.PMID:38038904","detected_arxiv_id":null,"ref_index":29,"audited_at":"2026-05-20T04:01:49.281792Z"}],"snapshot_sha256":"5be8303fe86bd7f1d17b2993fc19712e2e3a274dabf5b7a141ce63d882916ba1"},"events":[{"event_id":4702,"event_type":"pith.integrity.v1","payload_sha256":"7c699defbacf5add0e8ad7b1ba6cca4f83e5b26c7c4bfa2f77f6110152d91076","signature_b64":"rTKveYvZj8If2ZEWfwdpm2D2z0njR0rwk4k3TH1UObr880k1UuATRpeFnNUTKpJ72dJj7pEAIOY52EO2PZASDw==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-20T04:02:41.812335+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1007/978-3-540-74048-3_4.19) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"“Dynamic Time Warping”. In: Meinard Müller.Information Retrieval for Music and Motion. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007, pp. 69–84.isbn: 978-3-540-74048-3.doi:10.1007/978-3-540- 74048-3_4. 19","arxiv_id":"2604.18431","detector":"doi_compliance","evidence":{"ref_index":43,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"“Dynamic Time Warping”. In: Meinard Müller.Information Retrieval for Music and Motion. 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A longer candidate (10.1007/s40615-023-01872-3.PMID:38038904) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"João L. Marôco, Mahdiyeh M. Manafi, and Laura L. Hayman. “Race and Ethnicity Disparities in Cardiovascular and Cancer Mortality: The Role of Socioeconomic Status-a Systematic Review and Meta-analysis”. In:Journal of Racial and Ethnic Health","arxiv_id":"2604.18431","detector":"doi_compliance","evidence":{"ref_index":29,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"João L. Marôco, Mahdiyeh M. Manafi, and Laura L. Hayman. “Race and Ethnicity Disparities in Cardiovascular and Cancer Mortality: The Role of Socioeconomic Status-a Systematic Review and Meta-analysis”. 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A longer candidate (10.1016/j.socscimed.2025.118212.PMID:40472644) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Thomas P. Lawler et al. “Area-Level Socioeconomic Status Is Associated with Colorectal Cancer Screening, Incidence and Mortality in the US: A Systematic Review and Meta-Analysis”. In:Social Science & Medicine (1982)381 (Sept. 2025), p. 1182","arxiv_id":"2604.18431","detector":"doi_compliance","evidence":{"ref_index":28,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Thomas P. Lawler et al. “Area-Level Socioeconomic Status Is Associated with Colorectal Cancer Screening, Incidence and Mortality in the US: A Systematic Review and Meta-Analysis”. 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A longer candidate (10.1186/s13059-022-02677-z.PMID:35538548) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Ateeq M. Khaliq et al. “Refining Colorectal Cancer Classification and Clinical Stratification through a Single-Cell Atlas”. In:Genome Biology 23.1 (May 11, 2022), p. 113.issn: 1474-760X.doi:10.1186/s13059- 022-02677-z. PMID:35538548","arxiv_id":"2604.18431","detector":"doi_compliance","evidence":{"ref_index":20,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Ateeq M. Khaliq et al. “Refining Colorectal Cancer Classification and Clinical Stratification through a Single-Cell Atlas”. In:Genome Biology 23.1 (May 11, 2022), p. 113.issn: 1474-760X.doi:10.1186/s13059- 022-02677-z. 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A longer candidate (10.3389/fbinf.2023.1112113.pmid:36844930) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Jessica Xin Hjaltelin et al. “Visualising Disease Trajectories from Population-WideData”.In:Frontiers in Bioinformatics3(2023),p.1112113. issn:2673-7647.doi: 10.3389/fbinf.2023.1112113.PMID: 36844930","arxiv_id":"2604.18431","detector":"doi_compliance","evidence":{"ref_index":18,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Jessica Xin Hjaltelin et al. “Visualising Disease Trajectories from Population-WideData”.In:Frontiers in Bioinformatics3(2023),p.1112113. issn:2673-7647.doi: 10.3389/fbinf.2023.1112113.PMID: 36844930","reconstructed_doi":"10.3389/fbinf.2023.1112113.pmid:36844930"},"severity":"advisory","ref_index":18,"audited_at":"2026-05-20T04:01:49.281792Z","event_type":"pith.integrity.v1","detected_doi":"10.3389/fbinf.2023.1112113.pmid:36844930","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"32e3506d2623c6a82a4b8ba89e0f771b98d9dddeeb0aef4afe72b3a3c45431cd","paper_version":2,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}},{"event_id":4697,"event_type":"pith.integrity.v1","payload_sha256":"19750110cb2ddae3fc968ca79a1a5588d9359bfaa374c613831892450d5cadf6","signature_b64":"MhU6Bkn79+I/CFTFTTfpUYuekrNM6z9fGvyokLgPNHNYkHoi403SVWB85gGxTV25hauy8KPqxXeuXiIJXWFzAw==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-20T04:02:41.801533+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1038/s41591-023-02332-5.PMID:37156936) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Davide Placido et al. “A Deep Learning Algorithm to Predict Risk of Pancreatic Cancer from Disease Trajectories”. In:Nature Medicine29.5 (May 2023), pp. 1113–1122.issn: 1546-170X.doi:10.1038/s41591- 023-02332-5. PMID:37156936","arxiv_id":"2604.18431","detector":"doi_compliance","evidence":{"ref_index":16,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Davide Placido et al. “A Deep Learning Algorithm to Predict Risk of Pancreatic Cancer from Disease Trajectories”. In:Nature Medicine29.5 (May 2023), pp. 1113–1122.issn: 1546-170X.doi:10.1038/s41591- 023-02332-5. 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A longer candidate (10.1016/j.euros.2021.07.006.PMID:34667954) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Jeremy Mason et al. “Prediction of Metastatic Patterns in Bladder Cancer: Spatiotemporal Progression and Development of a Novel, Web- based Platform for Clinical Utility”. In:European Urology Open Science 32 (Oct. 2021), pp. 8–18.issn: 2666","arxiv_id":"2604.18431","detector":"doi_compliance","evidence":{"ref_index":13,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Jeremy Mason et al. “Prediction of Metastatic Patterns in Bladder Cancer: Spatiotemporal Progression and Development of a Novel, Web- based Platform for Clinical Utility”. 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