{"schema":"https://pith.science/schemas/pith-integrity/v1.json","pith_number":"2605.02098","arxiv_id":"2605.02098","integrity":{"available":true,"endpoint":"/pith/2605.02098/integrity.json","summary":{"critical":0,"advisory":4,"informational":0,"by_detector":{"doi_compliance":{"total":4,"critical":0,"advisory":4,"informational":0}}},"clean":false,"detectors_run":[{"name":"ai_meta_artifact","version":"1.0.0","status":"completed","ran_at":"2026-05-20T16:37:52.876924Z","findings_count":0},{"name":"doi_title_agreement","version":"1.0.0","status":"completed","ran_at":"2026-05-20T04:01:22.719134Z","findings_count":0},{"name":"doi_compliance","version":"1.0.0","status":"completed","ran_at":"2026-05-19T16:40:33.038920Z","findings_count":4}],"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 (10.48550/ARXIV.2205.14135.URLhttps://arxiv.org/abs/2205.14135) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.48550/ARXIV.2205.14135.URLhttps://arxiv.org/abs/2205.14135","detected_arxiv_id":null,"ref_index":67,"audited_at":"2026-05-19T16:40:33.038920Z"},{"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.1612.00593.URLhttp://arxiv.org/abs/1612.00593) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.48550/arXiv.1612.00593.URLhttp://arxiv.org/abs/1612.00593","detected_arxiv_id":null,"ref_index":1,"audited_at":"2026-05-19T16:40:33.038920Z"},{"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.1710.07563.URLhttp://arxiv.org/abs/1710.07563) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.48550/arXiv.1710.07563.URLhttp://arxiv.org/abs/1710.07563","detected_arxiv_id":null,"ref_index":19,"audited_at":"2026-05-19T16:40:33.038920Z"},{"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.2206.02099.URLhttp://arxiv.org/abs/2206.02099) was visible in the surrounding text but could not be confirmed against doi.org as printed.","detected_doi":"10.48550/arXiv.2206.02099.URLhttp://arxiv.org/abs/2206.02099","detected_arxiv_id":null,"ref_index":43,"audited_at":"2026-05-19T16:40:33.038920Z"}],"snapshot_sha256":"d7915dc502b27e54399f3d424b4125c2fb1ae08282b5b845f91ca3f0e7577762"},"events":[{"event_id":2096,"event_type":"pith.integrity.v1","payload_sha256":"0c40fef8ae45f34bdb84de7c51f68b8d4e0b169c04d75f60c605c0a8fd317a51","signature_b64":"jJOSQ+AauZW54eIQ6luOd8V7VCdWxQ1MdRfL3wDCXdLG3b31LDhAcbPHpbX7M3Xr0ZxnANPf46CMIz+bZ3VsDg==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-19T16:42:13.465406+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.48550/ARXIV.2205.14135.URLhttps://arxiv.org/abs/2205.14135) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"T. Dao, D. Y. Fu, S. Ermon, A. Rudra, C. Ré, FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness, version Number: 2 (2022).doi:10.48550/ARXIV. 2205.14135. URLhttps://arxiv.org/abs/2205.14135","arxiv_id":"2605.02098","detector":"doi_compliance","evidence":{"ref_index":67,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"T. Dao, D. Y. Fu, S. Ermon, A. Rudra, C. Ré, FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness, version Number: 2 (2022).doi:10.48550/ARXIV. 2205.14135. URLhttps://arxiv.org/abs/2205.14135","reconstructed_doi":"10.48550/ARXIV.2205.14135.URLhttps://arxiv.org/abs/2205.14135"},"severity":"advisory","ref_index":67,"audited_at":"2026-05-19T16:40:33.038920Z","event_type":"pith.integrity.v1","detected_doi":"10.48550/ARXIV.2205.14135.URLhttps://arxiv.org/abs/2205.14135","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"e66e753031a31882fd8eeeece04eb3f3b825553c4e7fa8a95e4c050ecc249cb6","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}},{"event_id":2095,"event_type":"pith.integrity.v1","payload_sha256":"d275ecd1eedf994f4044d87f0962abfb5ecb24bb2899de72d2a08b91b6127fb0","signature_b64":"KQiNFiIdEGiUQ9JfKLcFe9BOIq89AFf8wdqw/hsym3nSLjwyv5ReVcr0FGRQzMOgYVooz9xPc6N5jr2ExfpTDg==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-19T16:42:13.464139+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.48550/arXiv.2206.02099.URLhttp://arxiv.org/abs/2206.02099) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Y.Hou, X.Zhu, Y.Ma, C.C.Loy, Y.Li, Point- to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation, arXiv:2206.02099 [cs] (Jun. 2022).doi:10.48550/arXiv.2206. 02099. URLhttp://arxiv.org/abs/2206.02099","arxiv_id":"2605.02098","detector":"doi_compliance","evidence":{"ref_index":43,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Y.Hou, X.Zhu, Y.Ma, C.C.Loy, Y.Li, Point- to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation, arXiv:2206.02099 [cs] (Jun. 2022).doi:10.48550/arXiv.2206. 02099. URLhttp://arxiv.org/abs/2206.02099","reconstructed_doi":"10.48550/arXiv.2206.02099.URLhttp://arxiv.org/abs/2206.02099"},"severity":"advisory","ref_index":43,"audited_at":"2026-05-19T16:40:33.038920Z","event_type":"pith.integrity.v1","detected_doi":"10.48550/arXiv.2206.02099.URLhttp://arxiv.org/abs/2206.02099","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"853616de84c595e8e6ba035c164565a0994b4a47595558bd55e1c22e8ab1d65e","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}},{"event_id":2094,"event_type":"pith.integrity.v1","payload_sha256":"d111dd991c0e8189139a13da66b373ced8f578984b94fbbb7ac61e177fb23104","signature_b64":"8HgyegEGD0DvG7CDxL/x5IJHkTgiMsuaSy01A2uEj8X6v4Mspg/5/dHsJeZoGMwAbOfEY747/ijERHRsSmlBDA==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-19T16:42:13.463013+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.48550/arXiv.1710.07563.URLhttp://arxiv.org/abs/1710.07563) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"L.P.Tchapmi, C.B.Choy, I.Armeni, J.Gwak, S. Savarese, SEGCloud: Semantic Segmen- tation of 3D Point Clouds, arXiv:1710.07563 [cs] (Oct. 2017).doi:10.48550/arXiv.1710. 07563. URLhttp://arxiv.org/abs/1710.07563","arxiv_id":"2605.02098","detector":"doi_compliance","evidence":{"ref_index":19,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"L.P.Tchapmi, C.B.Choy, I.Armeni, J.Gwak, S. Savarese, SEGCloud: Semantic Segmen- tation of 3D Point Clouds, arXiv:1710.07563 [cs] (Oct. 2017).doi:10.48550/arXiv.1710. 07563. URLhttp://arxiv.org/abs/1710.07563","reconstructed_doi":"10.48550/arXiv.1710.07563.URLhttp://arxiv.org/abs/1710.07563"},"severity":"advisory","ref_index":19,"audited_at":"2026-05-19T16:40:33.038920Z","event_type":"pith.integrity.v1","detected_doi":"10.48550/arXiv.1710.07563.URLhttp://arxiv.org/abs/1710.07563","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"d997d78a52d41a875578668b127836002c4432e7ad69fdb2334525de2c639954","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}},{"event_id":2093,"event_type":"pith.integrity.v1","payload_sha256":"8a55f937c18a33ed0861acd6ceb73786d997fcd29d53a0e085fd37e0c62b9d1d","signature_b64":"52yUBl62jx5BvTiJuobXVpE4qvth9r+8mfY5j+ijbywMq78DbmGDBmXnI2eGA+WsiEbw8oEWC1pNU12cTAhbDA==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-19T16:42:13.461963+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.48550/arXiv.1612.00593.URLhttp://arxiv.org/abs/1612.00593) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"C. R. Qi, H. Su, K. Mo, L. J. Guibas, Point- Net: Deep Learning on Point Sets for 3D Clas- sification and Segmentation, arXiv:1612.00593 [cs] (Feb. 2016).doi:10.48550/arXiv.1612. 00593. URLhttp://arxiv.org/abs/1612.00593","arxiv_id":"2605.02098","detector":"doi_compliance","evidence":{"ref_index":1,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"C. R. Qi, H. Su, K. Mo, L. J. Guibas, Point- Net: Deep Learning on Point Sets for 3D Clas- sification and Segmentation, arXiv:1612.00593 [cs] (Feb. 2016).doi:10.48550/arXiv.1612. 00593. URLhttp://arxiv.org/abs/1612.00593","reconstructed_doi":"10.48550/arXiv.1612.00593.URLhttp://arxiv.org/abs/1612.00593"},"severity":"advisory","ref_index":1,"audited_at":"2026-05-19T16:40:33.038920Z","event_type":"pith.integrity.v1","detected_doi":"10.48550/arXiv.1612.00593.URLhttp://arxiv.org/abs/1612.00593","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"1b6ba7956d4214b1756bca945b14446810426d6de2ccb46ae42d02039fb171a3","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}}],"endpoint_self":"/pith/2605.02098/integrity.json","protocol_url":"https://pith.science/pith-integrity-protocol"}