{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T04:05:20Z","timestamp":1765339520569,"version":"3.46.0"},"publisher-location":"New York, NY, USA","reference-count":86,"publisher":"ACM","funder":[{"name":"Science and Technology Innovation Key R&D Program of Chongqing","award":["CSTB2025TIAD-STX0036"],"award-info":[{"award-number":["CSTB2025TIAD-STX0036"]}]},{"name":"Natural Science Foundation of China","award":["62172372"],"award-info":[{"award-number":["62172372"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,27]]},"DOI":"10.1145\/3746027.3755347","type":"proceedings-article","created":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T06:54:15Z","timestamp":1761375255000},"page":"6103-6112","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["LLM-Grounded Diffusion for Cross-Domain Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-9577-6615","authenticated-orcid":false,"given":"Kuan","family":"Liu","sequence":"first","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8088-607X","authenticated-orcid":false,"given":"Ke","family":"Wang","sequence":"additional","affiliation":[{"name":"Chongqing University, Chongqing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-5117-1663","authenticated-orcid":false,"given":"Ji","family":"Zhang","sequence":"additional","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2494-1561","authenticated-orcid":false,"given":"Gang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Hangzhou Innovation Institute of Beihang University, Hangzhou, China"}]}],"member":"320","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263","author":"van den Berg Rianne","year":"2017","unstructured":"Rianne van den Berg, Thomas N Kipf, and Max Welling. 2017. Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263 (2017)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531967"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25531"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591645"},{"key":"e_1_3_2_1_5_1","volume-title":"Diffusion models beat gans on image synthesis. Advances in neural information processing systems","author":"Dhariwal Prafulla","year":"2021","unstructured":"Prafulla Dhariwal and Alexander Nichol. 2021. Diffusion models beat gans on image synthesis. Advances in neural information processing systems, Vol. 34 (2021), 8780-8794."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3688570"},{"key":"e_1_3_2_1_7_1","volume-title":"Sequential recommendation with diffusion models. arXiv preprint arXiv:2304.04541","author":"Du Hanwen","year":"2023","unstructured":"Hanwen Du, Huanhuan Yuan, Zhen Huang, Pengpeng Zhao, and Xiaofang Zhou. 2023. Sequential recommendation with diffusion models. arXiv preprint arXiv:2304.04541 (2023)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657758"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3532059"},{"key":"e_1_3_2_1_10_1","unstructured":"Daya Guo Dejian Yang Haowei Zhang Junxiao Song Ruoyu Zhang Runxin Xu Qihao Zhu Shirong Ma Peiyi Wang Xiao Bi et al. 2025. Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning. arXiv preprint arXiv:2501.12948 (2025)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645337"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635754"},{"key":"e_1_3_2_1_13_1","volume-title":"LightGCN: Simplifying and powering graph convolution network for recommendation. arXiv preprint arXiv:2002.02126","author":"He Xiangnan","year":"2020","unstructured":"Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, and Meng Wang. 2020. LightGCN: Simplifying and powering graph convolution network for recommendation. arXiv preprint arXiv:2002.02126 (2020)."},{"key":"e_1_3_2_1_14_1","volume-title":"Denoising diffusion probabilistic models. Advances in neural information processing systems","author":"Ho Jonathan","year":"2020","unstructured":"Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020. Denoising diffusion probabilistic models. Advances in neural information processing systems, Vol. 33 (2020), 6840-6851."},{"key":"e_1_3_2_1_15_1","volume-title":"Classifier-free diffusion guidance. arXiv preprint arXiv:2207.12598","author":"Ho Jonathan","year":"2022","unstructured":"Jonathan Ho and Tim Salimans. 2022. Classifier-free diffusion guidance. arXiv preprint arXiv:2207.12598 (2022)."},{"key":"e_1_3_2_1_16_1","volume-title":"Bridging language and items for retrieval and recommendation. arXiv preprint arXiv:2403.03952","author":"Hou Yupeng","year":"2024","unstructured":"Yupeng Hou, Jiacheng Li, Zhankui He, An Yan, Xiusi Chen, and Julian McAuley. 2024a. Bridging language and items for retrieval and recommendation. arXiv preprint arXiv:2403.03952 (2024)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657742"},{"key":"e_1_3_2_1_18_1","first-page":"667","article-title":"Conet: Collaborative cross networks for cross-domain recommendation","author":"Hu Guangneng","year":"2018","unstructured":"Guangneng Hu, Yu Zhang, and Qiang Yang. 2018. Conet: Collaborative cross networks for cross-domain recommendation. In CIKM. 667-676.","journal-title":"CIKM."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657685"},{"key":"e_1_3_2_1_20_1","unstructured":"Aaron Jaech Adam Kalai Adam Lerer Adam Richardson Ahmed El-Kishky Aiden Low Alec Helyar Aleksander Madry Alex Beutel Alex Carney et al. 2024. Openai o1 system card. arXiv preprint arXiv:2412.16720 (2024)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635850"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671802"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671915"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371793"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635794"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE60146.2024.00380"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657780"},{"key":"e_1_3_2_1_28_1","first-page":"1","article-title":"Diffurec: A diffusion model for sequential recommendation","volume":"42","author":"Li Zihao","year":"2023","unstructured":"Zihao Li, Aixin Sun, and Chenliang Li. 2023. Diffurec: A diffusion model for sequential recommendation. ACM Transactions on Information Systems, Vol. 42, 3 (2023), 1-28.","journal-title":"ACM Transactions on Information Systems"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679630"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657690"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635801"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645467"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28723"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380036"},{"key":"e_1_3_2_1_35_1","first-page":"885","article-title":"Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks","author":"Liu Meng","year":"2020","unstructured":"Meng Liu, Jianjun Li, Guohui Li, and Peng Pan. 2020a. Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks. In CIKM. 885-894.","journal-title":"CIKM."},{"key":"e_1_3_2_1_36_1","first-page":"2029","article-title":"A heterogeneous graph neural model for cold-start recommendation","author":"Liu Siwei","year":"2020","unstructured":"Siwei Liu, Iadh Ounis, Craig Macdonald, and Zaiqiao Meng. 2020b. A heterogeneous graph neural model for cold-start recommendation. In SIGIR. 2029-2032.","journal-title":"SIGIR."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645331"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28728"},{"key":"e_1_3_2_1_39_1","volume-title":"Aligning Large Language Models for Controllable Recommendations. arXiv preprint arXiv:2403.05063","author":"Lu Wensheng","year":"2024","unstructured":"Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, and Xing Xie. 2024. Aligning Large Language Models for Controllable Recommendations. arXiv preprint arXiv:2403.05063 (2024)."},{"key":"e_1_3_2_1_40_1","volume-title":"Understanding diffusion models: A unified perspective. arXiv preprint arXiv:2208.11970","author":"Luo Calvin","year":"2022","unstructured":"Calvin Luo. 2022. Understanding diffusion models: A unified perspective. arXiv preprint arXiv:2208.11970 (2022)."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28736"},{"key":"e_1_3_2_1_42_1","first-page":"1","article-title":"Seedrec: sememe-based diffusion for sequential recommendation","author":"Ma Haokai","year":"2024","unstructured":"Haokai Ma, Ruobing Xie, Lei Meng, Yimeng Yang, Xingwu Sun, and Zhanhui Kang. 2024b. Seedrec: sememe-based diffusion for sequential recommendation. In Proceedings of IJCAI. 1-9.","journal-title":"Proceedings of IJCAI."},{"key":"e_1_3_2_1_43_1","first-page":"1733","volume-title":"Multimodal Conditioned Diffusion Model for Recommendation. In Companion Proceedings of the ACM on Web Conference","author":"Ma Haokai","year":"2024","unstructured":"Haokai Ma, Yimeng Yang, Lei Meng, Ruobing Xie, and Xiangxu Meng. 2024c. Multimodal Conditioned Diffusion Model for Recommendation. In Companion Proceedings of the ACM on Web Conference 2024. 1733-1740."},{"key":"e_1_3_2_1_44_1","first-page":"685","article-title":"\u03c0-Net: A parallel information-sharing network for shared-account cross-domain sequential recommendations","author":"Ma Muyang","year":"2019","unstructured":"Muyang Ma, Pengjie Ren, Yujie Lin, Zhumin Chen, Jun Ma, and Maarten de Rijke. 2019. \u03c0-Net: A parallel information-sharing network for shared-account cross-domain sequential recommendations. In SIGIR. 685-694.","journal-title":"SIGIR."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635809"},{"key":"e_1_3_2_1_46_1","first-page":"1719","volume-title":"Diffusion Recommendation with Implicit Sequence Influence. In Companion Proceedings of the ACM on Web Conference","author":"Niu Yong","year":"2024","unstructured":"Yong Niu, Xing Xing, Zhichun Jia, Ruidi Liu, Mindong Xin, and Jianfu Cui. 2024. Diffusion Recommendation with Implicit Sequence Influence. In Companion Proceedings of the ACM on Web Conference 2024. 1719-1725."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589335.3651465"},{"key":"e_1_3_2_1_48_1","volume-title":"LSTM networks for online cross-network recommendations. arXiv preprint arXiv:2008.10849","author":"Perera Dilruk","year":"2020","unstructured":"Dilruk Perera and Roger Zimmermann. 2020. LSTM networks for online cross-network recommendations. arXiv preprint arXiv:2008.10849 (2020)."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688137"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16557"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531927"},{"key":"e_1_3_2_1_52_1","article-title":"Visualizing data using t-SNE","volume":"9","author":"der Maaten Laurens Van","year":"2008","unstructured":"Laurens Van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of machine learning research, Vol. 9, 11 (2008).","journal-title":"Journal of machine learning research"},{"key":"e_1_3_2_1_53_1","volume-title":"Attention is all you need. Advances in Neural Information Processing Systems","author":"Vaswani A","year":"2017","unstructured":"A Vaswani. 2017. Attention is all you need. Advances in Neural Information Processing Systems (2017)."},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-10989-8_47"},{"key":"e_1_3_2_1_55_1","first-page":"9107","volume-title":"Review-Enhanced Hierarchical Contrastive Learning for Recommendation. In Proceedings of the AAAI Conference on Artificial Intelligence","volume":"38","author":"Wang Ke","year":"2024","unstructured":"Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, and Mengyuan Jing. 2024 f. Review-Enhanced Hierarchical Contrastive Learning for Recommendation. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 38. 9107-9115."},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3618106","article-title":"Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation","volume":"42","author":"Wang Ke","year":"2023","unstructured":"Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Kuan Liu, and Peibo Ma. 2023d. Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation. ACM Transactions on Information Systems, Vol. 42, 2 (2023), 1-29.","journal-title":"ACM Transactions on Information Systems"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-97-5618-6_1"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591663"},{"volume-title":"Cross-domain recommendation for cold-start users via neighborhood based feature mapping","author":"Wang Xinghua","key":"e_1_3_2_1_59_1","unstructured":"Xinghua Wang, Zhaohui Peng, Senzhang Wang, S Yu Philip, Wenjing Fu, and Xiaoguang Hong. 2018. Cross-domain recommendation for cold-start users via neighborhood based feature mapping. In DASFAA. Springer, 158-165."},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i17.29887"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635807"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-97-2262-4_13"},{"key":"e_1_3_2_1_63_1","volume-title":"2024 e. A Dual Perspective Framework of Knowledge-correlation for Cross-domain Recommendation. ACM Transactions on Knowledge Discovery from Data","author":"Wang Yuhan","year":"2024","unstructured":"Yuhan Wang, Qing Xie, Mengzi Tang, Lin Li, Jingling Yuan, and Yongjian Liu. 2024 e. A Dual Perspective Framework of Knowledge-correlation for Cross-domain Recommendation. ACM Transactions on Knowledge Discovery from Data, Vol. 18, 6 (2024), 1-28."},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512202"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591750"},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599324"},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512095"},{"key":"e_1_3_2_1_68_1","volume-title":"Denny Zhou, et al.","author":"Wei Jason","year":"2022","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al., 2022. Chain-of-thought prompting elicits reasoning in large language models. Advances in neural information processing systems, Vol. 35 (2022), 24824-24837."},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657883"},{"key":"e_1_3_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645351"},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657839"},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657719"},{"key":"e_1_3_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3592053"},{"key":"e_1_3_2_1_74_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3614983"},{"key":"e_1_3_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512041"},{"key":"e_1_3_2_1_76_1","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Yang Zhengyi","year":"2024","unstructured":"Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, and Xiangnan He. 2024. Generate what you prefer: Reshaping sequential recommendation via guided diffusion. Advances in Neural Information Processing Systems, Vol. 36 (2024)."},{"key":"e_1_3_2_1_77_1","volume-title":"LD4MRec: Simplifying and Powering Diffusion Model for Multimedia Recommendation. arXiv preprint arXiv:2309.15363","author":"Yu Penghang","year":"2023","unstructured":"Penghang Yu, Zhiyi Tan, Guanming Lu, and Bing-Kun Bao. 2023. LD4MRec: Simplifying and Powering Diffusion Model for Multimedia Recommendation. arXiv preprint arXiv:2309.15363 (2023)."},{"key":"e_1_3_2_1_78_1","doi-asserted-by":"publisher","DOI":"10.1145\/3573385"},{"key":"e_1_3_2_1_79_1","first-page":"2165","article-title":"Cross-domain recommendation via preference propagation graphnet","author":"Zhao Cheng","year":"2019","unstructured":"Cheng Zhao, Chenliang Li, and Cong Fu. 2019. Cross-domain recommendation via preference propagation graphnet. In CIKM. 2165-2168.","journal-title":"CIKM."},{"key":"e_1_3_2_1_80_1","volume-title":"CATN: Cross-domain recommendation for cold-start users via aspect transfer network. arXiv preprint arXiv:2005.10549","author":"Zhao Cheng","year":"2020","unstructured":"Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, and Aixin Sun. 2020. CATN: Cross-domain recommendation for cold-start users via aspect transfer network. arXiv preprint arXiv:2005.10549 (2020)."},{"key":"e_1_3_2_1_81_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3324912"},{"key":"e_1_3_2_1_82_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657825"},{"key":"e_1_3_2_1_83_1","first-page":"1533","article-title":"Dtcdr: A framework for dual-target cross-domain recommendation","author":"Zhu Feng","year":"2019","unstructured":"Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, and Xiaolin Zheng. 2019. Dtcdr: A framework for dual-target cross-domain recommendation. In CIKM. 1533-1542.","journal-title":"CIKM."},{"key":"e_1_3_2_1_84_1","first-page":"39","article-title":"A graphical and attentional framework for dual-target cross-domain recommendation","volume":"21","author":"Zhu Feng","year":"2020","unstructured":"Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, and Xiaolin Zheng. 2020a. A graphical and attentional framework for dual-target cross-domain recommendation.. In IJCAI, Vol. 21. 39.","journal-title":"IJCAI"},{"key":"e_1_3_2_1_85_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657759"},{"key":"e_1_3_2_1_86_1","volume-title":"Deep graph contrastive representation learning. arXiv preprint arXiv:2006.04131","author":"Zhu Yanqiao","year":"2020","unstructured":"Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, and Liang Wang. 2020b. Deep graph contrastive representation learning. arXiv preprint arXiv:2006.04131 (2020)."}],"event":{"name":"MM '25: The 33rd ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Dublin Ireland","acronym":"MM '25"},"container-title":["Proceedings of the 33rd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746027.3755347","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T04:02:36Z","timestamp":1765339356000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746027.3755347"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,27]]},"references-count":86,"alternative-id":["10.1145\/3746027.3755347","10.1145\/3746027"],"URL":"https:\/\/doi.org\/10.1145\/3746027.3755347","relation":{},"subject":[],"published":{"date-parts":[[2025,10,27]]},"assertion":[{"value":"2025-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}