{"schema":"https://pith.science/schemas/pith-integrity/v1.json","pith_number":"2604.23196","arxiv_id":"2604.23196","integrity":{"available":true,"endpoint":"/pith/2604.23196/integrity.json","summary":{"critical":0,"advisory":1,"informational":0,"by_detector":{"doi_compliance":{"total":1,"critical":0,"advisory":1,"informational":0}}},"clean":false,"detectors_run":[{"name":"ai_meta_artifact","version":"1.0.0","status":"completed","ran_at":"2026-05-21T09:37:43.852681Z","findings_count":0},{"name":"doi_compliance","version":"1.0.0","status":"completed","ran_at":"2026-05-19T23:24:07.743545Z","findings_count":1}],"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 (10.1109/malW) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1109/malW","detected_arxiv_id":null,"ref_index":1,"audited_at":"2026-05-19T23:24:07.743545Z"}],"snapshot_sha256":"b8c3bf10830f784f0d9c6cc005f8c0fad66d2a3c5c76d7ec81b8bd8dbb08775e"},"events":[{"event_id":3622,"event_type":"pith.integrity.v1","payload_sha256":"cb42b2b64d30ca0526e58baaa0b93cc4e3bf68be6f6a37a53bf4c9083bd57abc","signature_b64":"wKoXgd2Jc/rGSOU72kTk/Gksw8LrTTJWkWwkSON0AhIdOgkk9fDal7eFoZ+H8SmnkWXIDChJDkpMzF/57luuAg==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-19T23:27:27.589328+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/malW) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Saxe, J., Berlin, K.: Deep neural network based malware detection using two dimensional binary program features. In: 2015 10th International Conference on Malicious and Unwanted Software (MAL W ARE), pp. 11–20 (2015). https://doi. org/10.11","arxiv_id":"2604.23196","detector":"doi_compliance","evidence":{"ref_index":1,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Saxe, J., Berlin, K.: Deep neural network based malware detection using two dimensional binary program features. In: 2015 10th International Conference on Malicious and Unwanted Software (MAL W ARE), pp. 11–20 (2015). https://doi. org/10.11","reconstructed_doi":"10.1109/malW"},"severity":"advisory","ref_index":1,"audited_at":"2026-05-19T23:24:07.743545Z","event_type":"pith.integrity.v1","detected_doi":"10.1109/malW","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"a452014bc0938fc8da486dbb3263353f68c175f81a3b1d163eb0187e29146665","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}}],"endpoint_self":"/pith/2604.23196/integrity.json","protocol_url":"https://pith.science/pith-integrity-protocol"}