{"schema":"https://pith.science/schemas/pith-integrity/v1.json","pith_number":"2605.23061","arxiv_id":"2605.23061","integrity":{"available":true,"endpoint":"/pith/2605.23061/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":"doi_compliance","version":"1.0.0","status":"completed","ran_at":"2026-06-05T06:06:19.267907Z","findings_count":2},{"name":"doi_title_agreement","version":"1.0.0","status":"completed","ran_at":"2026-06-05T06:06:08.036183Z","findings_count":0},{"name":"ai_meta_artifact","version":"1.0.0","status":"completed","ran_at":"2026-06-01T05:36:29.601893Z","findings_count":0},{"name":"claim_evidence","version":"1.0.0","status":"completed","ran_at":"2026-05-28T16:44:54.340205Z","findings_count":0},{"name":"citation_quote_validity","version":"0.1.0","status":"completed","ran_at":"2026-05-25T23:51:04.976440Z","findings_count":0},{"name":"cited_work_retraction","version":"1.0.0","status":"completed","ran_at":"2026-05-25T15:54:36.920450Z","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 (10.1145/3620665.3640366.url:http://dx.doi.org/10.1145/3620665.3640366) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1145/3620665.3640366.url:http://dx.doi.org/10.1145/3620665.3640366","detected_arxiv_id":null,"ref_index":86,"audited_at":"2026-05-25T05:48:07.154977Z"},{"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 (10.1007/978-0-387-84858-7.url:http://dx.doi.org/) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1007/978-0-387-84858-7.url:http://dx.doi.org/","detected_arxiv_id":null,"ref_index":1,"audited_at":"2026-05-25T05:48:07.154977Z"}],"snapshot_sha256":"8502cd8b676f5166abbb249d8a7d209c59ab6d32bec1e8a7902cb29875de33e6"},"events":[{"event_id":7473,"event_type":"pith.integrity.v1","payload_sha256":"fa7a4e722471836577f30e347c71b3b09798abb347f47b1aa311e52d6873c76c","signature_b64":"EAzVyj8Xej+vz0gzPfj7N9zRaWWr3xkmSk5pONRLyYHVErEopa8RLv5eVakj3KEfWHkqSrw+svghdGOYIZP0Bg==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-25T05:49:54.446052+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1145/3620665.3640366.url:http://dx.doi.org/10.1145/3620665.3640366) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Jason Ansel et al. “PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transforma- tion and Graph Compilation”. In:Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and O","arxiv_id":"2605.23061","detector":"doi_compliance","evidence":{"ref_index":86,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Jason Ansel et al. “PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transforma- tion and Graph Compilation”. In:Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and O","reconstructed_doi":"10.1145/3620665.3640366.url:http://dx.doi.org/10.1145/3620665.3640366"},"severity":"advisory","ref_index":86,"audited_at":"2026-05-25T05:48:07.154977Z","event_type":"pith.integrity.v1","detected_doi":"10.1145/3620665.3640366.url:http://dx.doi.org/10.1145/3620665.3640366","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"7e99996f89c63f6f50445f6533ef9c0904d4e2a613fc435492d51c60c9ef0d6f","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}},{"event_id":7472,"event_type":"pith.integrity.v1","payload_sha256":"129c32f67070bb38f23683698e58f58637dba9ce8edb9337918ca770774a88a0","signature_b64":"yOD0UoGcYp4fp/QPyU3944qU7qsrwCeriYyJqfDCj1/7kLHb74CvknjUAH5dQRD95fQ+9RrYdHnX7T7WB3m8Cw==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-25T05:49:54.436821+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1007/978-0-387-84858-7.url:http://dx.doi.org/) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Trevor Hastie, Robert Tibshirani, and Jerome Friedman.The Elements of Statistical Learning. Springer New York, 2009.isbn: 9780387848587.doi: 10.1007/978-0-387-84858-7.url: http://dx.doi.org/ 10.1007/978-0-387-84858-7","arxiv_id":"2605.23061","detector":"doi_compliance","evidence":{"ref_index":1,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Trevor Hastie, Robert Tibshirani, and Jerome Friedman.The Elements of Statistical Learning. Springer New York, 2009.isbn: 9780387848587.doi: 10.1007/978-0-387-84858-7.url: http://dx.doi.org/ 10.1007/978-0-387-84858-7","reconstructed_doi":"10.1007/978-0-387-84858-7.url:http://dx.doi.org/"},"severity":"advisory","ref_index":1,"audited_at":"2026-05-25T05:48:07.154977Z","event_type":"pith.integrity.v1","detected_doi":"10.1007/978-0-387-84858-7.url:http://dx.doi.org/","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"a7fd7a5ab342185781689a946d0a7ac035f66b330ccd48c63bebebd78ec44c73","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}}],"endpoint_self":"/pith/2605.23061/integrity.json","protocol_url":"https://pith.science/pith-integrity-protocol"}