{"schema":"https://pith.science/schemas/pith-integrity/v1.json","pith_number":"2607.03661","arxiv_id":"2607.03661","integrity":{"available":true,"endpoint":"/pith/2607.03661/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":"ai_meta_artifact","version":"1.0.0","status":"completed","ran_at":"2026-07-16T18:55:57.114032Z","findings_count":0},{"name":"doi_compliance","version":"1.0.0","status":"completed","ran_at":"2026-07-14T01:18:22.856249Z","findings_count":2},{"name":"doi_title_agreement","version":"1.0.0","status":"completed","ran_at":"2026-07-14T01:02:27.187126Z","findings_count":0},{"name":"claim_evidence","version":"1.0.0","status":"completed","ran_at":"2026-07-13T18:04:00.580635Z","findings_count":0},{"name":"cited_work_retraction","version":"1.0.0","status":"completed","ran_at":"2026-07-12T21:49:55.091380Z","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 (10.1061/JCCEE5.CPENG-7008.43) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1061/JCCEE5.CPENG-7008.43","detected_arxiv_id":null,"ref_index":29,"audited_at":"2026-07-12T00:56:15.139580Z"},{"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/cvpr52688.2022.01871.44) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.1109/cvpr52688.2022.01871.44","detected_arxiv_id":null,"ref_index":41,"audited_at":"2026-07-12T00:56:15.139580Z"}],"snapshot_sha256":"3651729e218ae89b5dc419b07f29391feeadb5aea409043dad47008a1e8e108d"},"events":[{"event_id":12373,"event_type":"pith.integrity.v1","payload_sha256":"814f441f8ff13c0c2d360578a7af0421129de8897e6facf8692f22133d46db53","signature_b64":"CajWCmFVwADZk7CiQJc0DmjHdQAhMrHAN1I20O9k+NpRdE/j1rURAK3rToGYWyU2xHUVvgIDiE6z6z7iwGv+BQ==","signing_key_id":"pith-v1-2026-05","created_at":"2026-07-12T00:56:54.185381+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/cvpr52688.2022.01871.44) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"X. Yu, L. Tang, Y. Rao, T. Huang, J. Zhou, J. Lu, Point-bert: Pre-training 3d point cloud transformers with masked point modeling, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2022, pp. 19313–19322.","arxiv_id":"2607.03661","detector":"doi_compliance","evidence":{"ref_index":41,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"X. Yu, L. Tang, Y. Rao, T. Huang, J. Zhou, J. Lu, Point-bert: Pre-training 3d point cloud transformers with masked point modeling, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2022, pp. 19313–19322.","reconstructed_doi":"10.1109/cvpr52688.2022.01871.44"},"severity":"advisory","ref_index":41,"audited_at":"2026-07-12T00:56:15.139580Z","event_type":"pith.integrity.v1","detected_doi":"10.1109/cvpr52688.2022.01871.44","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"38bc9324c3ffe27663ced70a247d5ffed8bfb5bede68e9294ba71fa4a8a03636","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}},{"event_id":12372,"event_type":"pith.integrity.v1","payload_sha256":"556b6a51d77febcee47bf28f39495a0af4a5541c674df68657ec632d5b9f7753","signature_b64":"xu6wgIryZFDht7I9wwmpKr3sx8CtxhLSNbamWNqGlJjvxqm6rHHeVTFTX6MET7XxHa5f/v/sBwM0nnOI3B/RDg==","signing_key_id":"pith-v1-2026-05","created_at":"2026-07-12T00:56:54.180406+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1061/JCCEE5.CPENG-7008.43) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"H. Yue, Q. Wang, Y. Huang, H. Fang, J. C. Cheng, L. Li, Enhancing 3D Object Detection for Building Indoor Scenes Using BIM-Generated Synthetic Point Clouds, Journal of Comput- ing in Civil Engineering 40 (4) (2026) 05026003.doi:https://doi.","arxiv_id":"2607.03661","detector":"doi_compliance","evidence":{"ref_index":29,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"H. Yue, Q. Wang, Y. Huang, H. Fang, J. C. Cheng, L. Li, Enhancing 3D Object Detection for Building Indoor Scenes Using BIM-Generated Synthetic Point Clouds, Journal of Comput- ing in Civil Engineering 40 (4) (2026) 05026003.doi:https://doi.","reconstructed_doi":"10.1061/JCCEE5.CPENG-7008.43"},"severity":"advisory","ref_index":29,"audited_at":"2026-07-12T00:56:15.139580Z","event_type":"pith.integrity.v1","detected_doi":"10.1061/JCCEE5.CPENG-7008.43","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"eee33c9ceadf69c2f7ab01bfb8c3506da09e0ee5ede3d629fad094a15fd120de","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}}],"endpoint_self":"/pith/2607.03661/integrity.json","protocol_url":"https://pith.science/pith-integrity-protocol"}