{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T13:20:45Z","timestamp":1767705645373,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":54,"publisher":"ACM","funder":[{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["6240074265"],"award-info":[{"award-number":["6240074265"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangzhou-HKUST(GZ) Joint Funding Program","award":["2024A03J0630 and 2023A03J0008"],"award-info":[{"award-number":["2024A03J0630 and 2023A03J0008"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,8,3]]},"DOI":"10.1145\/3711896.3737406","type":"proceedings-article","created":{"date-parts":[[2025,8,3]],"date-time":"2025-08-03T20:52:41Z","timestamp":1754254361000},"page":"5322-5333","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["<i>ClimateIQA:<\/i>\n            A New Dataset and Benchmark to Advance Vision-Language Models in Meteorology Anomalies Analysis"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-6264-0630","authenticated-orcid":false,"given":"Jian","family":"Chen","sequence":"first","affiliation":[{"name":"Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China and HSBC, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6763-5236","authenticated-orcid":false,"given":"Peilin","family":"Zhou","sequence":"additional","affiliation":[{"name":"Thrust of Data Science and Analytics, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7779-1208","authenticated-orcid":false,"given":"Yining","family":"Hua","sequence":"additional","affiliation":[{"name":"Harvard University, MA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3495-522X","authenticated-orcid":false,"given":"Dading","family":"Chong","sequence":"additional","affiliation":[{"name":"Peking University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8946-4228","authenticated-orcid":false,"given":"Meng","family":"Cao","sequence":"additional","affiliation":[{"name":"Mohamed bin Zayed University of Artificial Intelligence, Masdar, United Arab Emirates"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0725-6108","authenticated-orcid":false,"given":"Yaowei","family":"Li","sequence":"additional","affiliation":[{"name":"Harvard University, MA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2260-9079","authenticated-orcid":false,"given":"Wei","family":"Chen","sequence":"additional","affiliation":[{"name":"Thrust of Data Science and Analytics, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2161-5974","authenticated-orcid":false,"given":"Bing","family":"Zhu","sequence":"additional","affiliation":[{"name":"HSBC, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2219-5569","authenticated-orcid":false,"given":"Junwei","family":"Liang","sequence":"additional","affiliation":[{"name":"Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1197-0347","authenticated-orcid":false,"given":"Zixuan","family":"Yuan","sequence":"additional","affiliation":[{"name":"Thrust of Financial Technology, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}]}],"member":"320","published-online":{"date-parts":[[2025,8,3]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al.","author":"Achiam Josh","year":"2023","unstructured":"Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023)."},{"key":"e_1_3_2_2_2_1","volume-title":"The claude 3 model family: Opus, sonnet, haiku. Claude-3 Model Card","author":"Anthropic AI","year":"2024","unstructured":"AI Anthropic. 2024. The claude 3 model family: Opus, sonnet, haiku. Claude-3 Model Card (2024)."},{"key":"e_1_3_2_2_3_1","volume-title":"Qwen-vl: A frontier large visionlanguage model with versatile abilities. arXiv preprint arXiv:2308.12966","author":"Bai Jinze","year":"2023","unstructured":"Jinze Bai, Shuai Bai, Shusheng Yang, ShijieWang, Sinan Tan, PengWang, Junyang Lin, Chang Zhou, and Jingren Zhou. 2023. Qwen-vl: A frontier large visionlanguage model with versatile abilities. arXiv preprint arXiv:2308.12966 (2023)."},{"key":"e_1_3_2_2_4_1","volume-title":"Hallucination of Multimodal Large Language Models: A Survey. arXiv preprint arXiv:2404.18930","author":"Bai Zechen","year":"2024","unstructured":"Zechen Bai, Pichao Wang, Tianjun Xiao, Tong He, Zongbo Han, Zheng Zhang, and Mike Zheng Shou. 2024. Hallucination of Multimodal Large Language Models: A Survey. arXiv preprint arXiv:2404.18930 (2024)."},{"key":"e_1_3_2_2_5_1","volume-title":"Pangu-weather: A 3d high-resolution model for fast and accurate global weather forecast. arXiv preprint arXiv:2211.02556","author":"Bi Kaifeng","year":"2022","unstructured":"Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu, and Qi Tian. 2022. Pangu-weather: A 3d high-resolution model for fast and accurate global weather forecast. arXiv preprint arXiv:2211.02556 (2022)."},{"key":"e_1_3_2_2_6_1","volume-title":"Accurate medium-range global weather forecasting with 3D neural networks. Nature 619, 7970","author":"Bi Kaifeng","year":"2023","unstructured":"Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu, and Qi Tian. 2023. Accurate medium-range global weather forecasting with 3D neural networks. Nature 619, 7970 (2023), 533-538."},{"key":"e_1_3_2_2_7_1","volume-title":"Anurag Ajay, Alexander C Li, Adrien Bardes, Suzanne Petryk, Oscar Ma\u00f1as, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, et al.","author":"Bordes Florian","year":"2024","unstructured":"Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C Li, Adrien Bardes, Suzanne Petryk, Oscar Ma\u00f1as, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, et al. 2024. An introduction to vision-language modeling. arXiv preprint arXiv:2405.17247 (2024)."},{"key":"e_1_3_2_2_8_1","volume-title":"Christian Buck, Niels Mede, Markus Leippold, et al.","author":"Bulian Jannis","year":"2023","unstructured":"Jannis Bulian, Mike S Sch\u00e4fer, Afra Amini, Heidi Lam, Massimiliano Ciaramita, Ben Gaiarin, Michelle Chen Huebscher, Christian Buck, Niels Mede, Markus Leippold, et al. 2023. Assessing Large Language Models on Climate Information. arXiv preprint arXiv:2310.02932 (2023)."},{"key":"e_1_3_2_2_9_1","volume-title":"RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter. arXiv preprint arXiv:2405.19465","author":"Cao Meng","year":"2024","unstructured":"Meng Cao, Haoran Tang, Jinfa Huang, Peng Jin, Can Zhang, Ruyang Liu, Long Chen, Xiaodan Liang, Li Yuan, and Ge Li. 2024. RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter. arXiv preprint arXiv:2405.19465 (2024)."},{"key":"e_1_3_2_2_10_1","volume-title":"Fengwu: Pushing the skillful global medium-range weather forecast beyond 10 days lead. arXiv preprint arXiv:2304.02948","author":"Chen Kang","year":"2023","unstructured":"Kang Chen, Tao Han, Junchao Gong, Lei Bai, Fenghua Ling, Jing-Jia Luo, Xi Chen, Leiming Ma, Tianning Zhang, Rui Su, et al. 2023. Fengwu: Pushing the skillful global medium-range weather forecast beyond 10 days lead. arXiv preprint arXiv:2304.02948 (2023)."},{"key":"e_1_3_2_2_11_1","volume-title":"Large language models are visual reasoning coordinators. Advances in Neural Information Processing Systems 36","author":"Chen Liangyu","year":"2024","unstructured":"Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, and Ziwei Liu. 2024. Large language models are visual reasoning coordinators. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_2_2_12_1","first-page":"66329","volume-title":"Zhang (Eds.)","volume":"37","author":"Chen Wei","year":"2024","unstructured":"Wei Chen, Xixuan Hao, Yuankai Wu, and Yuxuan Liang. 2024. Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth. In Advances in Neural Information Processing Systems, A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, and C. Zhang (Eds.), Vol. 37. Curran Associates, Inc., 66329-66356. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2024\/file\/7a6a7fbd1ee0c9684b3f919f79d129ef-Paper-Datasets_and_Benchmarks_Track.pdf"},{"key":"e_1_3_2_2_13_1","volume-title":"Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting. In The Thirteenth International Conference on Learning Representations.","author":"Chen Wei","year":"2025","unstructured":"Wei Chen and Yuxuan Liang. 2025. Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting. In The Thirteenth International Conference on Learning Representations."},{"key":"e_1_3_2_2_14_1","volume-title":"2012 proceedings of the 35th international convention MIPRO. IEEE, 1725-1730","author":"Culjak Ivan","year":"2012","unstructured":"Ivan Culjak, David Abram, Tomislav Pribanic, Hrvoje Dzapo, and Mario Cifrek. 2012. A brief introduction to OpenCV. In 2012 proceedings of the 35th international convention MIPRO. IEEE, 1725-1730."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.3390\/su15076070"},{"key":"e_1_3_2_2_16_1","unstructured":"Yunkai Dang Kaichen Huang Jiahao Huo Yibo Yan Sirui Huang Dongrui Liu Mengxi Gao Jie Zhang Chen Qian Kun Wang et al. 2024. Explainable and interpretable multimodal large language models: A comprehensive survey. arXiv preprint arXiv:2412.02104 (2024)."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11831-021-09616-4"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.670"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-23306-6"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1002\/qj.3803"},{"key":"e_1_3_2_2_21_1","unstructured":"Flanders Marine Institute. 2018. Marine Regions. https:\/\/www.marineregions.org\/sources.php"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01394"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"crossref","unstructured":"Dmitrii Kochkov Janni Yuval Ian Langmore Peter Norgaard Jamie Smith Griffin Mooers Milan Kl\u00f6wer James Lottes Stephan Rasp Peter D\u00fcben et al. 2024. Neural general circulation models for weather and climate. Nature (2024) 1-7.","DOI":"10.1038\/s41586-024-07744-y"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1038\/s43247-023-01199-1"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00915"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"crossref","unstructured":"Remi Lam Alvaro Sanchez-Gonzalez Matthew Willson Peter Wirnsberger Meire Fortunato Ferran Alet Suman Ravuri Timo Ewalds Zach Eaton-Rosen Weihua Hu et al. 2022. GraphCast: Learning skillful medium-range global weather forecasting. arXiv preprint arXiv:2212.12794 (2022).","DOI":"10.1126\/science.adi2336"},{"key":"e_1_3_2_2_28_1","volume-title":"Enhancing tropical cyclone intensity forecasting with explainable deep learning integrating satellite observations and numerical model outputs. iScience","author":"Lee Juhyun","year":"2024","unstructured":"Juhyun Lee, Jungho Im, and Yeji Shin. 2024. Enhancing tropical cyclone intensity forecasting with explainable deep learning integrating satellite observations and numerical model outputs. iScience (2024)."},{"key":"e_1_3_2_2_29_1","volume-title":"Mitigating object hallucinations in large vision-language models through visual contrastive decoding. arXiv preprint arXiv:2311.16922","author":"Leng Sicong","year":"2023","unstructured":"Sicong Leng, Hang Zhang, Guanzheng Chen, Xin Li, Shijian Lu, Chunyan Miao, and Lidong Bing. 2023. Mitigating object hallucinations in large vision-language models through visual contrastive decoding. arXiv preprint arXiv:2311.16922 (2023)."},{"key":"e_1_3_2_2_30_1","volume-title":"Llava-med: Training a large language-and-vision assistant for biomedicine in one day. Advances in Neural Information Processing Systems 36","author":"Li Chunyuan","year":"2024","unstructured":"Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, and Jianfeng Gao. 2024. Llava-med: Training a large language-and-vision assistant for biomedicine in one day. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_2_2_31_1","volume-title":"Rouge: A package for automatic evaluation of summaries. In Text summarization branches out. 74-81.","author":"Lin Chin-Yew","year":"2004","unstructured":"Chin-Yew Lin. 2004. Rouge: A package for automatic evaluation of summaries. In Text summarization branches out. 74-81."},{"key":"e_1_3_2_2_32_1","volume-title":"Visual instruction tuning. Advances in neural information processing systems 36","author":"Liu Haotian","year":"2024","unstructured":"Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee. 2024. Visual instruction tuning. Advances in neural information processing systems 36 (2024)."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-54142-5"},{"key":"e_1_3_2_2_34_1","first-page":"2507","article-title":"Learn to explain: Multimodal reasoning via thought chains for science question answering","volume":"35","author":"Lu Pan","year":"2022","unstructured":"Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, and Ashwin Kalyan. 2022. Learn to explain: Multimodal reasoning via thought chains for science question answering. Advances in Neural Information Processing Systems 35 (2022), 2507-2521.","journal-title":"Advances in Neural Information Processing Systems"},{"volume-title":"Defining the wind: The Beaufort scale, and how a 19th century admiral turned science into poetry","author":"Monmonier Mark","key":"e_1_3_2_2_35_1","unstructured":"Mark Monmonier. 2005. Defining the wind: The Beaufort scale, and how a 19th century admiral turned science into poetry."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.941"},{"key":"e_1_3_2_2_37_1","volume-title":"Proceedings of the 40th annual meeting of the Association for Computational Linguistics. 311-318","author":"Papineni Kishore","year":"2002","unstructured":"Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. Bleu: a method for automatic evaluation of machine translation. In Proceedings of the 40th annual meeting of the Association for Computational Linguistics. 311-318."},{"key":"e_1_3_2_2_38_1","unstructured":"World Food Programme. 2019. World Administrative Boundaries - Countries and Territories. https:\/\/public.opendatasoft.com\/explore\/dataset\/worldadministrative-boundaries\/information\/"},{"key":"e_1_3_2_2_39_1","volume-title":"Mr Prabhat, and Chris Pal.","author":"Racah Evan","year":"2017","unstructured":"Evan Racah, Christopher Beckham, Tegan Maharaj, Samira Ebrahimi Kahou, Mr Prabhat, and Chris Pal. 2017. Extremeweather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1002\/met.1356"},{"key":"e_1_3_2_2_41_1","unstructured":"Sonia I Seneviratne Xuebin Zhang Muhammad Adnan Wafae Badi Claudine Dereczynski A Di Luca Subimal Ghosh Iskhaq Iskandar James Kossin Sophie Lewis et al. 2021. Weather and climate extreme events in a changing climate. (2021)."},{"key":"e_1_3_2_2_42_1","volume-title":"The Second Tiny Papers Track at ICLR","author":"Singh Kunal","year":"2024","unstructured":"Kunal Singh, Mukund Khanna, Ankan Biswas, Pradeep Moturi, et al. [n.d.]. VISUAL PROMPTING METHODS FOR GPT-4V BASED ZERO-SHOT GRAPHIC LAYOUT DESIGN GENERATION. In The Second Tiny Papers Track at ICLR 2024."},{"key":"e_1_3_2_2_43_1","unstructured":"Gemini Team Rohan Anil Sebastian Borgeaud Yonghui Wu Jean-Baptiste Alayrac Jiahui Yu Radu Soricut Johan Schalkwyk Andrew M Dai Anja Hauth et al. 2023. Gemini: a family of highly capable multimodal models. arXiv preprint arXiv:2312.11805 (2023)."},{"key":"e_1_3_2_2_44_1","unstructured":"David Thulke Yingbo Gao Petrus Pelser Rein Brune Rricha Jalota Floris Fok Michael Ramos Ian van Wyk Abdallah Nasir Hayden Goldstein et al. 2024. ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change. arXiv preprint arXiv:2401.09646 (2024)."},{"key":"e_1_3_2_2_45_1","volume-title":"Llama: Open and efficient foundation language models. arXiv preprint arXiv:2302.13971","author":"Touvron Hugo","year":"2023","unstructured":"Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timoth\u00e9e Lacroix, Baptiste Rozi\u00e8re, Naman Goyal, Eric Hambro, Faisal Azhar, et al. 2023. Llama: Open and efficient foundation language models. arXiv preprint arXiv:2302.13971 (2023)."},{"key":"e_1_3_2_2_46_1","first-page":"23","article-title":"Image processing in python","volume":"23","author":"Umesh P","year":"2012","unstructured":"P Umesh. 2012. Image processing in python. CSI Communications 23, 2 (2012), 23-24.","journal-title":"CSI Communications"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1038\/s43247-023-01084-x"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-82808-x"},{"key":"e_1_3_2_2_49_1","volume-title":"Deep learning shows declining groundwater levels in Germany until 2100 due to climate change. Nature communications 13, 1","author":"Wunsch Andreas","year":"2022","unstructured":"Andreas Wunsch, Tanja Liesch, and Stefan Broda. 2022. Deep learning shows declining groundwater levels in Germany until 2100 due to climate change. Nature communications 13, 1 (2022), 1221."},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-44403-8"},{"key":"e_1_3_2_2_51_1","volume-title":"Yi: Open foundation models by 01. ai. arXiv preprint arXiv:2403.04652","author":"Young Alex","year":"2024","unstructured":"Alex Young, Bei Chen, Chao Li, Chengen Huang, Ge Zhang, Guanwei Zhang, Heng Li, Jiangcheng Zhu, Jianqun Chen, Jing Chang, et al. 2024. Yi: Open foundation models by 01. ai. arXiv preprint arXiv:2403.04652 (2024)."},{"key":"e_1_3_2_2_52_1","volume-title":"Ritwik Gupta, Bj\u00f6rn L\u00fctjens, Justus C Will, Gunnar Behrens, Julius Busecke, et al.","author":"Yu Sungduk","year":"2024","unstructured":"Sungduk Yu,Walter Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Bj\u00f6rn L\u00fctjens, Justus C Will, Gunnar Behrens, Julius Busecke, et al. 2024. ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00617"},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00189"}],"event":{"name":"KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"location":"Toronto ON Canada","acronym":"KDD '25"},"container-title":["Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3711896.3737406","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,16]],"date-time":"2025-08-16T14:28:24Z","timestamp":1755354504000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3711896.3737406"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,3]]},"references-count":54,"alternative-id":["10.1145\/3711896.3737406","10.1145\/3711896"],"URL":"https:\/\/doi.org\/10.1145\/3711896.3737406","relation":{},"subject":[],"published":{"date-parts":[[2025,8,3]]},"assertion":[{"value":"2025-08-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}