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A longer candidate (10.1109/VIS47514.2020.000342) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"K. Wongsuphasawat. Encodable: Configurable grammar for visualization components. InProc. VIS, pp. 131–135, 2020. doi: 10.1109/VIS47514. 2020.00034 2","arxiv_id":"2604.20759","detector":"doi_compliance","evidence":{"ref_index":64,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"K. Wongsuphasawat. Encodable: Configurable grammar for visualization components. InProc. 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A longer candidate (10.1109/TVCG.2023.33467153) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Y . Tian, W. Cui, D. Deng, X. Yi, Y . Yang, H. Zhang et al. ChartGPT: Leveraging LLMs to generate charts from abstract natural language.IEEE Trans. Vis. Comput. Graph., 31(3):1731–1745, 2024. doi: 10.1109/TVCG. 2023.3346715 3","arxiv_id":"2604.20759","detector":"doi_compliance","evidence":{"ref_index":60,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Y . Tian, W. Cui, D. Deng, X. Yi, Y . Yang, H. Zhang et al. ChartGPT: Leveraging LLMs to generate charts from abstract natural language.IEEE Trans. Vis. Comput. 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A longer candidate (10.1111/cgf.145332) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"J. Rulff, F. Miranda, M. Hosseini, M. Lage, M. Cartwright, G. Dove et al. Urban Rhapsody: Large-scale exploration of urban soundscapes. In Comput. Graph. Forum, vol. 41, pp. 209–221, 2022. doi: 10.1111/cgf. 14533 2, 3","arxiv_id":"2604.20759","detector":"doi_compliance","evidence":{"ref_index":53,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"J. Rulff, F. Miranda, M. Hosseini, M. Lage, M. Cartwright, G. Dove et al. Urban Rhapsody: Large-scale exploration of urban soundscapes. In Comput. Graph. 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A longer candidate (10.1109/TVCG.2023.33269222) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"doi: 10.1109/TVCG.2023.3326922 2, 3","arxiv_id":"2604.20759","detector":"doi_compliance","evidence":{"ref_index":44,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"doi: 10.1109/TVCG.2023.3326922 2, 3","reconstructed_doi":"10.1109/TVCG.2023.33269222"},"severity":"advisory","ref_index":44,"audited_at":"2026-05-20T01:37:35.139051Z","event_type":"pith.integrity.v1","detected_doi":"10.1109/TVCG.2023.33269222","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"4655b1ae6e47fdec775f4413a6772e0276f393c4d38555194ccae5b06ada7aee","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null}},{"event_id":4079,"event_type":"pith.integrity.v1","payload_sha256":"140a1ee21a5f04b99ba1ee44f9fb82533e46f6876b5d31d394c02c5074117ccf","signature_b64":"/Eg8lWzkJBy0ovnQneuOPac5HNqcQEbosD/bQV1bru9VXOu8ZGimV+xIKMFadCgXRrrRwnWy3f3mJNxVl0FPAg==","signing_key_id":"pith-v1-2026-05","created_at":"2026-05-20T01:42:31.372721+00:00","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/ACCESS.2023.32732153) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"P. Maddigan and T. Susnjak. Chat2Vis: Generating data visualizations via natural language using ChatGPT, Codex and GPT-3 large language models.IEEE Access, 11:45181–45193, 2023. doi: 10.1109/ACCESS. 2023.3273215 3","arxiv_id":"2604.20759","detector":"doi_compliance","evidence":{"ref_index":35,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"P. Maddigan and T. Susnjak. 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A longer candidate (10.1109/vAST.2015) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"N. Ferreira, M. Lage, H. Doraiswamy, H. V o, L. Wilson, H. Werner et al. Urbane: A 3D framework to support data driven decision making in urban development. InProc. VAST, pp. 97–104, 2015. doi: 10.1109/V AST.2015 .7347636 1, 2, 3, 6","arxiv_id":"2604.20759","detector":"doi_compliance","evidence":{"ref_index":24,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"N. Ferreira, M. Lage, H. Doraiswamy, H. V o, L. Wilson, H. Werner et al. Urbane: A 3D framework to support data driven decision making in urban development. InProc. 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A longer candidate (10.1109/MCG.2018.28527023) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"H. Doraiswamy, J. Freire, M. Lage, F. Miranda, and C. T. Silva. Spatio- temporal urban data analysis: A visual analytics perspective.IEEE Comput. Graph. Appl., 38(5):26–35, 2018. doi: 10.1109/MCG.2018.2852702 3","arxiv_id":"2604.20759","detector":"doi_compliance","evidence":{"ref_index":20,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"H. Doraiswamy, J. Freire, M. Lage, F. Miranda, and C. T. Silva. Spatio- temporal urban data analysis: A visual analytics perspective.IEEE Comput. Graph. 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