{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T16:37:57Z","timestamp":1773247077787,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":76,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T00:00:00Z","timestamp":1715558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100006374","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62122037,61921006"],"award-info":[{"award-number":["62122037,61921006"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,5,13]]},"DOI":"10.1145\/3589334.3645357","type":"proceedings-article","created":{"date-parts":[[2024,5,8]],"date-time":"2024-05-08T07:08:13Z","timestamp":1715152093000},"page":"3195-3206","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Not All Embeddings are Created Equal: Towards Robust Cross-domain Recommendation via Contrastive Learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-5103-4928","authenticated-orcid":false,"given":"Wenhao","family":"Yang","sequence":"first","affiliation":[{"name":"National Key Laboratory for Novel Software Technology, Nanjing University & Alibaba Group, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-6464-0993","authenticated-orcid":false,"given":"Yingchun","family":"Jian","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7410-6854","authenticated-orcid":false,"given":"Yibo","family":"Wang","sequence":"additional","affiliation":[{"name":"National Key Laboratory for Novel Software Technology, Nanjing University & Alibaba Group, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6438-5999","authenticated-orcid":false,"given":"Shiyin","family":"Lu","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5249-7037","authenticated-orcid":false,"given":"Lei","family":"Shen","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7976-8642","authenticated-orcid":false,"given":"Bing","family":"Wang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7103-975X","authenticated-orcid":false,"given":"Haihong","family":"Tang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5138-3182","authenticated-orcid":false,"given":"Lijun","family":"Zhang","sequence":"additional","affiliation":[{"name":"National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"}]}],"member":"320","published-online":{"date-parts":[[2024,5,13]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.568"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570366"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531967"},{"key":"e_1_3_2_2_4_1","unstructured":"Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski and Armand Joulin. 2020. Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. In Advances in Neural Information Processing Systems. 9912--9924."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599884"},{"key":"e_1_3_2_2_6_1","volume-title":"2023 a. Bias and Debias in Recommender System: A Survey and Future Directions. ACM Transactions on Information Systems","author":"Chen Jiawei","year":"2023","unstructured":"Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, and Xiangnan He. 2023 a. Bias and Debias in Recommender System: A Survey and Future Directions. ACM Transactions on Information Systems (2023)."},{"key":"e_1_3_2_2_7_1","unstructured":"Junya Chen Zhe Gan Xuan Li Qing Guo Liqun Chen Shuyang Gao Tagyoung Chung Yi Xu Belinda Zeng Wenlian Lu et al. 2021. Simpler faster stronger: Breaking the log-k curse on contrastive learners with flatnce. arXiv preprint arXiv:2107.01152 (2021)."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00875"},{"key":"e_1_3_2_2_9_1","volume-title":"Proceedings of the 37th International Conference on Machine Learning. 1597--1607","author":"Chen Ting","year":"2020","unstructured":"Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A Simple Framework for Contrastive Learning of Visual Representations. In Proceedings of the 37th International Conference on Machine Learning. 1597--1607."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"e_1_3_2_2_11_1","unstructured":"Ching-Yao Chuang Joshua Robinson Yen-Chen Lin Antonio Torralba and Stefanie Jegelka. 2020. Debiased Contrastive Learning. In Advances in Neural Information Processing Systems. 8765--8775."},{"key":"e_1_3_2_2_12_1","volume-title":"Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems","author":"Cui Qiang","year":"2020","unstructured":"Qiang Cui, Tao Wei, Yafeng Zhang, and Qing Zhang. 2020. HeroGRAPH: A heterogeneous graph framework for multi-target cross-domain recommendation. Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems (2020)."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00945"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741667"},{"key":"e_1_3_2_2_15_1","unstructured":"Songwei Ge Shlok Mishra Chun-Liang Li Haohan Wang and David Jacobs. 2021. Robust Contrastive Learning Using Negative Samples with Diminished Semantics. In Advances in Neural Information Processing Systems. 27356--27368."},{"key":"e_1_3_2_2_16_1","unstructured":"Priya Goyal Mathilde Caron Benjamin Lefaudeux Min Xu Pengchao Wang Vivek Pai Mannat Singh Vitaliy Liptchinsky Ishan Misra Armand Joulin et al. 2021. Self-supervised pretraining of visual features in the wild. arXiv preprint arXiv:2103.01988 (2021)."},{"key":"e_1_3_2_2_17_1","unstructured":"Jeff Z. HaoChen Colin Wei Adrien Gaidon and Tengyu Ma. 2021. Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss. In Advances in Neural Information Processing Systems. 5000--5011."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883037"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_2_22_1","volume-title":"LoRA: Low-Rank Adaptation of Large Language Models. In International Conference on Learning Representations.","author":"Hu Edward J","year":"2022","unstructured":"Edward J Hu, yelong shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2022. LoRA: Low-Rank Adaptation of Large Language Models. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_23_1","volume-title":"Contrastive masked autoencoders are stronger vision learners. arXiv preprint arXiv:2207.13532","author":"Huang Zhicheng","year":"2022","unstructured":"Zhicheng Huang, Xiaojie Jin, Chengze Lu, Qibin Hou, Ming-Ming Cheng, Dongmei Fu, Xiaohui Shen, and Jiashi Feng. 2022. Contrastive masked autoencoders are stronger vision learners. arXiv preprint arXiv:2207.13532 (2022)."},{"key":"e_1_3_2_2_24_1","volume-title":"Cumulated Gain-Based Evaluation of IR Techniques. ACM Transaction on Information Systems","author":"Jaana Kalervo","year":"2002","unstructured":"Kalervo J\"arvelin and Jaana Kek\"al\"ainen. 2002. Cumulated Gain-Based Evaluation of IR Techniques. ACM Transaction on Information Systems (2002), 422--446."},{"key":"e_1_3_2_2_25_1","volume-title":"Noe Pion, Philippe Weinzaepfel, and Diane Larlus.","author":"Kalantidis Yannis","year":"2020","unstructured":"Yannis Kalantidis, Mert Bulent Sariyildiz, Noe Pion, Philippe Weinzaepfel, and Diane Larlus. 2020. Hard Negative Mixing for Contrastive Learning. In Advances in Neural Information Processing Systems. 21798--21809."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-15719-7_3"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357914"},{"key":"e_1_3_2_2_28_1","volume-title":"Adam: A Method for Stochastic Optimization. In International Conference on Learning Representations.","author":"Diederik","unstructured":"Diederik P. Kingma and Jimmy Lei Ba. 2015. Adam: A Method for Stochastic Optimization. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403226"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401078"},{"key":"e_1_3_2_2_31_1","volume-title":"Measuring the Intrinsic Dimension of Objective Landscapes. In International Conference on Learning Representations.","author":"Li Chunyuan","year":"2018","unstructured":"Chunyuan Li, Heerad Farkhoor, Rosanne Liu, and Jason Yosinski. 2018. Measuring the Intrinsic Dimension of Objective Landscapes. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570379"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498388"},{"key":"e_1_3_2_2_34_1","volume-title":"Prototypical Contrastive Learning of Unsupervised Representations. In International Conference on Learning Representations.","author":"Li Junnan","year":"2021","unstructured":"Junnan Li, Pan Zhou, Caiming Xiong, and Steven Hoi. 2021b. Prototypical Contrastive Learning of Unsupervised Representations. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371793"},{"key":"e_1_3_2_2_36_1","volume-title":"Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations","author":"Li Pan","year":"2023","unstructured":"Pan Li and Alexander Tuzhilin. 2023. Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations. IEEE Transactions on Knowledge and Data Engineering (2023), 321--334."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467067"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615137"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380036"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412012"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/343"},{"key":"e_1_3_2_2_42_1","volume-title":"Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748","author":"van den Oord Aaron","year":"2018","unstructured":"Aaron van den Oord, Yazhe Li, and Oriol Vinyals. 2018. Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748 (2018)."},{"key":"e_1_3_2_2_43_1","volume-title":"Proceedings of the 40th International Conference on Machine Learning. 28389--28421","author":"Qiu Zi-Hao","year":"2023","unstructured":"Zi-Hao Qiu, Quanqi Hu, Zhuoning Yuan, Denny Zhou, Lijun Zhang, and Tianbao Yang. 2023. Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization. In Proceedings of the 40th International Conference on Machine Learning. 28389--28421."},{"key":"e_1_3_2_2_44_1","volume-title":"Proceedings of the Third International Conference on Language Resources and Evaluation.","author":"Radev Dragomir R.","year":"2002","unstructured":"Dragomir R. Radev, Hong Qi, Harris Wu, and Weiguo Fan. 2002. Evaluating Web-based Question Answering Systems. In Proceedings of the Third International Conference on Language Resources and Evaluation."},{"key":"e_1_3_2_2_45_1","volume-title":"Proceedings of the 38th International Conference on Machine Learning. 8748--8763","author":"Radford Alec","year":"2021","unstructured":"Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever. 2021. Learning Transferable Visual Models From Natural Language Supervision. In Proceedings of the 38th International Conference on Machine Learning. 8748--8763."},{"key":"e_1_3_2_2_46_1","volume-title":"Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective. In IEEE International Conference on Data Mining. 438--447","author":"Ren Weijieying","year":"2022","unstructured":"Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Lim Ee Peng, and Yanjie Fu. 2022. Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective. In IEEE International Conference on Data Mining. 438--447."},{"key":"e_1_3_2_2_47_1","volume-title":"Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence. 452--461","author":"Rendle Steffen","year":"2009","unstructured":"Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009. BPR: Bayesian personalized ranking from implicit feedback. In Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence. 452--461."},{"key":"e_1_3_2_2_48_1","volume-title":"Contrastive Learning with Hard Negative Samples. In International Conference on Learning Representations.","author":"Robinson Joshua David","year":"2021","unstructured":"Joshua David Robinson, Ching-Yao Chuang, Suvrit Sra, and Stefanie Jegelka. 2021. Contrastive Learning with Hard Negative Samples. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_49_1","volume-title":"Knowledge transfer by domain-independent user latent factor for cross-domain recommender systems. Future Generation Computer Systems","author":"Sahu Ashish Kumar","year":"2020","unstructured":"Ashish Kumar Sahu and Pragya Dwivedi. 2020. Knowledge transfer by domain-independent user latent factor for cross-domain recommender systems. Future Generation Computer Systems (2020), 320--333."},{"key":"e_1_3_2_2_50_1","volume-title":"Viewmaker Networks: Learning Views for Unsupervised Representation Learning. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=enoVQWLsfyL","author":"Tamkin Alex","year":"2021","unstructured":"Alex Tamkin, Mike Wu, and Noah Goodman. 2021. Viewmaker Networks: Learning Views for Unsupervised Representation Learning. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=enoVQWLsfyL"},{"key":"e_1_3_2_2_51_1","unstructured":"Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid and Phillip Isola. 2020. What Makes for Good Views for Contrastive Learning?. In Advances in Neural Information Processing Systems. 6827--6839."},{"key":"e_1_3_2_2_52_1","volume-title":"Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? arXiv preprint arXiv:2201.05119","author":"Tomasev Nenad","year":"2022","unstructured":"Nenad Tomasev, Ioana Bica, Brian McWilliams, Lars Buesing, Razvan Pascanu, Charles Blundell, and Jovana Mitrovic. 2022. Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? arXiv preprint arXiv:2201.05119 (2022)."},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2907430"},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00252"},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557317"},{"key":"e_1_3_2_2_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3203630"},{"key":"e_1_3_2_2_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290973"},{"key":"e_1_3_2_2_58_1","volume-title":"Conditional Negative Sampling for Contrastive Learning of Visual Representations. In International Conference on Learning Representations.","author":"Wu Mike","year":"2021","unstructured":"Mike Wu, Milan Mosse, Chengxu Zhuang, Daniel Yamins, and Noah Goodman. 2021. Conditional Negative Sampling for Contrastive Learning of Visual Representations. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_59_1","first-page":"24087","article-title":"Pluralistic Image Completion with Gaussian Mixture Models","volume":"35","author":"Xia Xiaobo","year":"2022","unstructured":"Xiaobo Xia, Wenhao Yang, Jie Ren, Yewen Li, Yibing Zhan, Bo Han, and Tongliang Liu. 2022. Pluralistic Image Completion with Gaussian Mixture Models. In Advances in Neural Information Processing Systems, Vol. 35. 24087--24100.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_60_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01681-x"},{"key":"e_1_3_2_2_61_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2926078"},{"key":"e_1_3_2_2_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240355"},{"key":"e_1_3_2_2_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512011"},{"key":"e_1_3_2_2_64_1","unstructured":"Jinfeng Yi Cho-Jui Hsieh Kush R. Varshney Lijun Zhang and Yao Li. 2017. Scalable Demand-Aware Recommendation. In Advance in Neural Information Processing Systems 30. 2409--2418."},{"key":"e_1_3_2_2_65_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"e_1_3_2_2_66_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/587"},{"key":"e_1_3_2_2_67_1","volume-title":"Proceedings of the 39th International Conference on Machine Learning. 25760--25782","author":"Yuan Zhuoning","year":"2022","unstructured":"Zhuoning Yuan, Yuexin Wu, Zi-Hao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, and Tianbao Yang. 2022. Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance. In Proceedings of the 39th International Conference on Machine Learning. 25760--25782."},{"key":"e_1_3_2_2_68_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01404"},{"key":"e_1_3_2_2_69_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591965"},{"key":"e_1_3_2_2_70_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401169"},{"key":"e_1_3_2_2_71_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583263"},{"key":"e_1_3_2_2_72_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357992"},{"key":"e_1_3_2_2_73_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/415"},{"key":"e_1_3_2_2_74_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/639"},{"key":"e_1_3_2_2_75_1","volume-title":"A Unified Framework for Cross-Domain and Cross-System Recommendations","author":"Zhu Feng","year":"2023","unstructured":"Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, and Guanfeng Liu. 2023. A Unified Framework for Cross-Domain and Cross-System Recommendations. IEEE Transactions on Knowledge and Data Engineering (2023), 1171--1184."},{"key":"e_1_3_2_2_76_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498392"}],"event":{"name":"WWW '24: The ACM Web Conference 2024","location":"Singapore Singapore","acronym":"WWW '24","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2024"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589334.3645357","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3589334.3645357","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:22:29Z","timestamp":1755822149000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589334.3645357"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,13]]},"references-count":76,"alternative-id":["10.1145\/3589334.3645357","10.1145\/3589334"],"URL":"https:\/\/doi.org\/10.1145\/3589334.3645357","relation":{},"subject":[],"published":{"date-parts":[[2024,5,13]]},"assertion":[{"value":"2024-05-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}