{"schema":"https://pith.science/schemas/pith-integrity/v1.json","pith_number":"2605.13986","arxiv_id":"2605.13986","integrity":{"available":true,"endpoint":"/pith/2605.13986/integrity.json","summary":{"critical":0,"advisory":5,"informational":0,"by_detector":{"doi_compliance":{"total":5,"critical":0,"advisory":5,"informational":0}}},"clean":false,"detectors_run":[{"name":"claim_evidence","version":"1.0.0","status":"completed","ran_at":"2026-05-20T20:02:12.401121Z","findings_count":0},{"name":"doi_title_agreement","version":"1.0.0","status":"completed","ran_at":"2026-05-20T07:01:23.091282Z","findings_count":0},{"name":"doi_compliance","version":"1.0.0","status":"completed","ran_at":"2026-05-20T06:23:09.201191Z","findings_count":5},{"name":"ai_meta_artifact","version":"1.0.0","status":"completed","ran_at":"2026-05-19T07:37:33.683146Z","findings_count":0}],"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 (10.1101/2025.09.03.25334985v1.35) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1101/2025.09.03.25334985v1.35","detected_arxiv_id":null,"ref_index":158,"audited_at":"2026-05-19T06:02:08.641333Z"},{"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 (10.48550/arXiv.2505.20685.URLhttps://arxiv.org/abs/2505.20685) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.48550/arXiv.2505.20685.URLhttps://arxiv.org/abs/2505.20685","detected_arxiv_id":null,"ref_index":24,"audited_at":"2026-05-19T06:02:08.641333Z"},{"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 (10.1101/2025.09.17.676674v1) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1101/2025.09.17.676674v1","detected_arxiv_id":null,"ref_index":164,"audited_at":"2026-05-19T06:02:08.641333Z"},{"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 (10.6039/j.issn.1001-0408.2025.19.16.URL) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.6039/j.issn.1001-0408.2025.19.16.URL","detected_arxiv_id":null,"ref_index":179,"audited_at":"2026-05-19T06:02:08.641333Z"},{"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 (10.48550/arXiv.2510.06162.URLhttps://arxiv.org/abs/2510.06162) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.48550/arXiv.2510.06162.URLhttps://arxiv.org/abs/2510.06162","detected_arxiv_id":null,"ref_index":181,"audited_at":"2026-05-19T06:02:08.641333Z"}],"snapshot_sha256":"13b731b2e60750989624aeeec0415239a0b06e02e1fa28f538d35b14a225b993"},"events":[{"event_id":90,"event_type":"pith.integrity.v1","payload_sha256":"1fbca25af0f341764b90c6e1186d28deb1ea0411151a306afc4ebcadb253a56c","signature_b64":"2/7oKXl40Fpy5WiyLGAAHZpgwr9eUTu/9i7G6O2P98TP1fa517kgCWrv6cjk5wrIHRZYyO609zgQy/cV9R9SDA==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-19T06:06:52.122167+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.48550/arXiv.2510.06162.URLhttps://arxiv.org/abs/2510.06162) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Christopher Kolberg, Katharina Eggensperger, and Nico Pfeifer. Tabpfn-wide: Continued pre- training for extreme feature counts.arXiv preprint arXiv:2510.06162, 2025. doi: 10.48550/arXiv. 2510.06162. URLhttps://arxiv.org/abs/2510.06162","arxiv_id":"2605.13986","detector":"doi_compliance","evidence":{"ref_index":181,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Christopher Kolberg, Katharina Eggensperger, and Nico Pfeifer. Tabpfn-wide: Continued pre- training for extreme feature counts.arXiv preprint arXiv:2510.06162, 2025. doi: 10.48550/arXiv. 2510.06162. URLhttps://arxiv.org/abs/2510.06162","reconstructed_doi":"10.48550/arXiv.2510.06162.URLhttps://arxiv.org/abs/2510.06162"},"severity":"advisory","ref_index":181,"audited_at":"2026-05-19T06:02:08.641333Z","event_type":"pith.integrity.v1","detected_doi":"10.48550/arXiv.2510.06162.URLhttps://arxiv.org/abs/2510.06162","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"ab9a4775eb1f5c8c3ce4784732c8f8596ea818d2276eb020b1187a9ea7df490c","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}},{"event_id":89,"event_type":"pith.integrity.v1","payload_sha256":"ea51e094be0e8d2915819a88fb304c42d82364535d21bdff9d9bb1d764073d2b","signature_b64":"xFObg8QX5Zad1xtm6VJaSBXWNZNRapa/3Z6E/uZvab+wzkv7SY3b+QptvigHusPO9y8Qtqt2k9ZV2GqrYB+NDg==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-19T06:06:52.119939+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.6039/j.issn.1001-0408.2025.19.16.URL) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Xiaohui Lin, Yujia Wang, Lingling Zhang, and et al. Construction of machine learning clas- sification prediction model for vancomycin blood concentrations based on mimic-iv database. China Pharmacy (ZHONGGUO YAOFANG), 36(19):2448–2453, 2025","arxiv_id":"2605.13986","detector":"doi_compliance","evidence":{"ref_index":179,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Xiaohui Lin, Yujia Wang, Lingling Zhang, and et al. Construction of machine learning clas- sification prediction model for vancomycin blood concentrations based on mimic-iv database. China Pharmacy (ZHONGGUO YAOFANG), 36(19):2448–2453, 2025","reconstructed_doi":"10.6039/j.issn.1001-0408.2025.19.16.URL"},"severity":"advisory","ref_index":179,"audited_at":"2026-05-19T06:02:08.641333Z","event_type":"pith.integrity.v1","detected_doi":"10.6039/j.issn.1001-0408.2025.19.16.URL","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"002e3d6e3ea8010b531685579a0cc3ea2cd74440124b3829f686084c2394d68d","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}},{"event_id":88,"event_type":"pith.integrity.v1","payload_sha256":"4b2d793fdfa1d71ec4c9c1791dbc663a4192a00d2ed5ee402fae13170e616d6c","signature_b64":"3VpVLD59Af61uJk7RpGDHw6TsNOe+4lRD1pV7z0AX6Bt8QEpKUxGlGTGmHH7xhlFNs6xAx6akJNG61ve+BvpCQ==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-19T06:06:52.116879+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1101/2025.09.17.676674v1) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Asif Adil et al. Advanced deep learning enables prediction of allogeneic stem cell mobilization success. bioRxiv preprint, 2025. URLhttps://www.biorxiv.org/content/10.1101/2025.09.17. 676674v1","arxiv_id":"2605.13986","detector":"doi_compliance","evidence":{"ref_index":164,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Asif Adil et al. Advanced deep learning enables prediction of allogeneic stem cell mobilization success. bioRxiv preprint, 2025. URLhttps://www.biorxiv.org/content/10.1101/2025.09.17. 676674v1","reconstructed_doi":"10.1101/2025.09.17.676674v1"},"severity":"advisory","ref_index":164,"audited_at":"2026-05-19T06:02:08.641333Z","event_type":"pith.integrity.v1","detected_doi":"10.1101/2025.09.17.676674v1","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"3ffec96aaaeaefd1efa8c3bedecc680516e34e6bb78e6788c560b26946141b96","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}},{"event_id":87,"event_type":"pith.integrity.v1","payload_sha256":"6ca21bb3cd1b2cf56e348fcfd452bacdbd3fa21a50c0dd4052ca5a2af09cd864","signature_b64":"Ye4ojMVa9yC1EfzkZmDZHf5Z6MBJEsQoejJp5hEcHLW/85bdTlKFMabI6PsUrexMHFyREtpw8ja7P7HYqPkhBA==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-19T06:06:52.110780+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1101/2025.09.03.25334985v1.35) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Vinh Nguyen Dao et al. Early prediction of gestational diabetes using integrated cell-free dna features and omics-derived genetic scores. medRxiv preprint, 2025. URLhttps://www.medrxiv. org/content/10.1101/2025.09.03.25334985v1. 35","arxiv_id":"2605.13986","detector":"doi_compliance","evidence":{"ref_index":158,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Vinh Nguyen Dao et al. Early prediction of gestational diabetes using integrated cell-free dna features and omics-derived genetic scores. medRxiv preprint, 2025. URLhttps://www.medrxiv. org/content/10.1101/2025.09.03.25334985v1. 35","reconstructed_doi":"10.1101/2025.09.03.25334985v1.35"},"severity":"advisory","ref_index":158,"audited_at":"2026-05-19T06:02:08.641333Z","event_type":"pith.integrity.v1","detected_doi":"10.1101/2025.09.03.25334985v1.35","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"c7331e95f4a98ae5a15d12ad29b8e2e5f8ac0ba46e895f5ee51e88007b683fa3","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}},{"event_id":86,"event_type":"pith.integrity.v1","payload_sha256":"011ffe2545eda16177722b1fb42228530039317ff0d71d2d2eadfb4b1f6459ca","signature_b64":"RvboLzC61GYNH2rkqbkSRSfEVf8Qb6NLazSh8w198EbXXyFyleoSTlB6Mcjw3LAnT2/hbxSp8Em5GU7SdP1WCw==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-19T06:06:52.105492+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.48550/arXiv.2505.20685.URLhttps://arxiv.org/abs/2505.20685) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"RosenTing-YingYu, CyrilPicard, andFaezAhmed. Git-bo: High-dimensionalbayesianoptimization with tabular foundation models.arXiv preprint arXiv:2505.20685, 2025. doi: 10.48550/arXiv.2505. 20685. URLhttps://arxiv.org/abs/2505.20685","arxiv_id":"2605.13986","detector":"doi_compliance","evidence":{"ref_index":24,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"RosenTing-YingYu, CyrilPicard, andFaezAhmed. Git-bo: High-dimensionalbayesianoptimization with tabular foundation models.arXiv preprint arXiv:2505.20685, 2025. doi: 10.48550/arXiv.2505. 20685. URLhttps://arxiv.org/abs/2505.20685","reconstructed_doi":"10.48550/arXiv.2505.20685.URLhttps://arxiv.org/abs/2505.20685"},"severity":"advisory","ref_index":24,"audited_at":"2026-05-19T06:02:08.641333Z","event_type":"pith.integrity.v1","detected_doi":"10.48550/arXiv.2505.20685.URLhttps://arxiv.org/abs/2505.20685","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"60a03739b97f22887253375514219953ead52ab1e5f46ae6d4fa9ab6c2e0a534","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}}],"endpoint_self":"/pith/2605.13986/integrity.json","protocol_url":"https://pith.science/pith-integrity-protocol"}