{"schema":"https://pith.science/schemas/pith-integrity/v1.json","pith_number":"2606.30953","arxiv_id":"2606.30953","integrity":{"available":true,"endpoint":"/pith/2606.30953/integrity.json","summary":{"critical":1,"advisory":0,"informational":0,"by_detector":{"doi_compliance":{"total":1,"critical":1,"advisory":0,"informational":0}}},"clean":false,"detectors_run":[{"name":"ai_meta_artifact","version":"1.0.0","status":"completed","ran_at":"2026-07-18T07:58:49.472910Z","findings_count":0},{"name":"doi_compliance","version":"1.0.0","status":"completed","ran_at":"2026-07-13T17:00:17.481526Z","findings_count":1},{"name":"doi_title_agreement","version":"1.0.0","status":"completed","ran_at":"2026-07-12T21:02:12.088577Z","findings_count":0},{"name":"claim_evidence","version":"1.0.0","status":"completed","ran_at":"2026-07-09T21:42:00.455457Z","findings_count":0}],"findings":[{"detector":"doi_compliance","finding_type":"unresolvable_identifier","severity":"critical","verdict_class":"cross_source","note":"Identifier '10.15837/ijccc.2026.n.6xyz' 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":"10.15837/ijccc.2026.n.6xyz","detected_arxiv_id":null,"ref_index":24,"audited_at":"2026-07-09T11:21:09.943934Z"}],"snapshot_sha256":"4de45b2eb7d3c733682fed7d6cfe3c32533e79c7eb41b51bdc7d08bc35c272fc"},"events":[{"event_id":8575,"event_type":"pith.integrity.v1","payload_sha256":"34ae4aa205b34592098861fc3519cd26afb946ae12f5a24d135b85e7d8a5d5bf","signature_b64":"PxUhq05hK0+FLCSEqbMkAraUUCZwVkb8a4d/F22yYXvGAc4XAhAVyQHCKqSLC/ts502j7Vd7D94tHbA2LRudAQ==","signing_key_id":"pith-v1-2026-05","created_at":"2026-07-09T11:22:38.708734+00:00","payload":{"note":"Identifier '10.15837/ijccc.2026.n.6xyz' 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":"Zheng, Z.; Zhang, B.; Liu, Y.; Ren, J.; Zhao, X.; Wang, Q. (2022). An approach for predicting multiple-type overflow vulnerabilities based on combination features and a time series neural network algorithm, Computers & Security , 114, 102572","arxiv_id":"2606.30953","detector":"doi_compliance","evidence":{"doi":"10.15837/ijccc.2026.n.6xyz","arxiv_id":null,"ref_index":24,"raw_excerpt":"Zheng, Z.; Zhang, B.; Liu, Y.; Ren, J.; Zhao, X.; Wang, Q. (2022). An approach for predicting multiple-type overflow vulnerabilities based on combination features and a time series neural network algorithm, Computers & Security , 114, 102572. Copyright ©2025 by the authors. Licensee Agora University, Oradea, Romania. This is an open access article distributed under the terms and conditions of the C","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"]},"severity":"critical","ref_index":24,"audited_at":"2026-07-09T11:21:09.943934Z","event_type":"pith.integrity.v1","detected_doi":"10.15837/ijccc.2026.n.6xyz","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"c14686a3ca72a6e8fa5b54c166716fbe4f9b455405a5780787466ff1ad62658e","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}}],"endpoint_self":"/pith/2606.30953/integrity.json","protocol_url":"https://pith.science/pith-integrity-protocol"}