{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T04:14:47Z","timestamp":1765340087979,"version":"3.46.0"},"publisher-location":"New York, NY, USA","reference-count":76,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62272254, 72188101, 62020106007, 62476071"],"award-info":[{"award-number":["62272254, 72188101, 62020106007, 62476071"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,27]]},"DOI":"10.1145\/3746027.3755410","type":"proceedings-article","created":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T07:38:54Z","timestamp":1761377934000},"page":"6133-6142","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["I\n                    <sup>3<\/sup>\n                    -MRec: Invariant Learning with Information Bottleneck for Incomplete Modality Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5323-0198","authenticated-orcid":false,"given":"Huilin","family":"Chen","sequence":"first","affiliation":[{"name":"Hefei University of Technology, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8773-8234","authenticated-orcid":false,"given":"Miaomiao","family":"Cai","sequence":"additional","affiliation":[{"name":"Hefei University of Technology, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4547-3982","authenticated-orcid":false,"given":"Fan","family":"Liu","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1109-5028","authenticated-orcid":false,"given":"Zhiyong","family":"Cheng","sequence":"additional","affiliation":[{"name":"Hefei University of Technology, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5461-3986","authenticated-orcid":false,"given":"Richang","family":"Hong","sequence":"additional","affiliation":[{"name":"Hefei University of Technology, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3094-7735","authenticated-orcid":false,"given":"Meng","family":"Wang","sequence":"additional","affiliation":[{"name":"Hefei University of Technology, Hefei, China"}]}],"member":"320","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"International Conference on Machine Learning. PMLR, 145--155","author":"Ahuja Kartik","year":"2020","unstructured":"Kartik Ahuja, Karthikeyan Shanmugam, Kush Varshney, and Amit Dhurandhar. 2020. Invariant risk minimization games. In International Conference on Machine Learning. PMLR, 145--155."},{"key":"e_1_3_2_1_2_1","volume-title":"Invariant risk minimization. arXiv preprint arXiv:1907.02893","author":"Arjovsky Martin","year":"2019","unstructured":"Martin Arjovsky, L\u00e9on Bottou, Ishaan Gulrajani, and David Lopez-Paz. 2019. Invariant risk minimization. arXiv preprint arXiv:1907.02893 (2019)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3658596"},{"key":"e_1_3_2_1_4_1","volume-title":"International conference on machine learning. PMLR, 531--540","author":"Belghazi Mohamed Ishmael","year":"2018","unstructured":"Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeshwar, Sherjil Ozair, Yoshua Bengio, Aaron Courville, and Devon Hjelm. 2018. Mutual information neural estimation. In International conference on machine learning. PMLR, 531--540."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548420"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3059508"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Jingyuan Chen Hanwang Zhang Xiangnan He Liqiang Nie Wei Liu and Tat-Seng Chua. 2017. Attentive collaborative filtering: Multimedia recommendation with item-and component-level attention. In SIGIR. ACM 335--344.","DOI":"10.1145\/3077136.3080797"},{"key":"e_1_3_2_1_8_1","volume-title":"International conference on machine learning. PMLR, 1779--1788","author":"Cheng Pengyu","year":"2020","unstructured":"Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, and Lawrence Carin. 2020. Club: A contrastive log-ratio upper bound of mutual information. In International conference on machine learning. PMLR, 1779--1788."},{"key":"e_1_3_2_1_9_1","volume-title":"International Conference on Machine Learning. PMLR, 2189--2200","author":"Creager Elliot","year":"2021","unstructured":"Elliot Creager, J\u00f6rn-Henrik Jacobsen, and Richard Zemel. 2021. Environment inference for invariant learning. In International Conference on Machine Learning. PMLR, 2189--2200."},{"key":"e_1_3_2_1_10_1","volume-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL. ACL, 4171--4186.","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL. ACL, 4171--4186."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3337534"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548405"},{"key":"e_1_3_2_1_13_1","first-page":"21400","article-title":"Concept embedding models: Beyond the accuracy-explainability trade-off","volume":"35","author":"Zarlenga Mateo Espinosa","year":"2022","unstructured":"Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Zohreh Shams, Frederic Precioso, Stefano Melacci, Adrian Weller, et al. 2022. Concept embedding models: Beyond the accuracy-explainability trade-off. Advances in Neural Information Processing Systems 35 (2022), 21400--21413.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688138"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3340094"},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of the thirteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings, 297--304","author":"Gutmann Michael","year":"2010","unstructured":"Michael Gutmann and Aapo Hyv\u00e4rinen. 2010. Noise-contrastive estimation: A new estimation principle for unnormalized statistical models. In Proceedings of the thirteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings, 297--304."},{"volume-title":"VBPR: visual bayesian personalized ranking from implicit feedback","author":"He Ruining","key":"e_1_3_2_1_17_1","unstructured":"Ruining He and Julian McAuley. 2016. VBPR: visual bayesian personalized ranking from implicit feedback. In AAAI. AAAI Press, 144--150."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Xiangnan He Tao Chen Min-Yen Kan and Xiao Chen. 2015. TriRank: Review aware Explainable Recommendation by Modeling Aspects. In CIKM. ACM 1661--1670.","DOI":"10.1145\/2806416.2806504"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Xiangnan He Kuan Deng Xiang Wang Yan Li YongDong Zhang and Meng Wang. 2020. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. In SIGIR. ACM 639--648.","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3366349"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2017.30"},{"key":"e_1_3_2_1_22_1","first-page":"11828","article-title":"Learning invariant graph representations for out-of-distribution generalization","volume":"35","author":"Li Haoyang","year":"2022","unstructured":"Haoyang Li, Ziwei Zhang, Xin Wang, and Wenwu Zhu. 2022. Learning invariant graph representations for out-of-distribution generalization. Advances in Neural Information Processing Systems 35 (2022), 11828--11841.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3696410.3714606"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681148"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679620"},{"key":"e_1_3_2_1_26_1","volume-title":"Contrastive Modality-Disentangled Learning for Multimodal Recommendation. ACM Transactions on Information Systems","author":"Lin Xixun","year":"2025","unstructured":"Xixun Lin, Rui Liu, Yanan Cao, Lixin Zou, Qian Li, YongxuanWu, Yang Liu, Dawei Yin, and Guandong Xu. 2025. Contrastive Modality-Disentangled Learning for Multimodal Recommendation. ACM Transactions on Information Systems (2025)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612362"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3568030"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3217449"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3611886"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Fan Liu Zhiyong Cheng Lei Zhu Zan Gao and Liqiang Nie. 2021. Interest-Aware Message-Passing GCN for Recommendation. In WWW. ACM 1296--1305.","DOI":"10.1145\/3442381.3449986"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3704999"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589335.3651956"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i3.16330"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679898"},{"key":"e_1_3_2_1_36_1","volume-title":"Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach. arXiv preprint arXiv:2403.19841","author":"Malitesta Daniele","year":"2024","unstructured":"Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Fragkiskos D Malliaros, and Tommaso Di Noia. 2024. Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach. arXiv preprint arXiv:2403.19841 (2024)."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3701551.3703561"},{"key":"e_1_3_2_1_38_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_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3395035.3425202"},{"key":"e_1_3_2_1_40_1","volume-title":"BPR: Bayesian personalized ranking from implicit feedback. In UAI. 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 UAI. 452--461."},{"key":"e_1_3_2_1_41_1","first-page":"1","article-title":"Invariant models for causal transfer learning","volume":"19","author":"Rojas-Carulla Mateo","year":"2018","unstructured":"Mateo Rojas-Carulla, Bernhard Sch\u00f6lkopf, Richard Turner, and Jonas Peters. 2018. Invariant models for causal transfer learning. Journal of Machine Learning Research 19, 36 (2018), 1--34.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_42_1","volume-title":"Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf, Hassan Sajjad, Tom De Schepper, and Markus Schedl.","author":"Saeed Muhammad Saad","year":"2024","unstructured":"Muhammad Saad Saeed, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf, Hassan Sajjad, Tom De Schepper, and Markus Schedl. 2024. Modality Invariant Multimodal Learning to Handle Missing Modalities: A Single-Branch Approach. arXiv preprint arXiv:2408.07445 (2024)."},{"key":"e_1_3_2_1_43_1","unstructured":"Karen Simonyan and Andrew Zisserman. 2015. Very Deep Convolutional Networks for Large-Scale Image Recognition. In ICLR. 1--14."},{"key":"e_1_3_2_1_44_1","volume-title":"Infograph: Unsupervised and semi-supervised graph-level representation learning via mutual information maximization. arXiv preprint arXiv:1908.01000","author":"Sun Fan-Yun","year":"2019","unstructured":"Fan-Yun Sun, Jordan Hoffmann, Vikas Verma, and Jian Tang. 2019. Infograph: Unsupervised and semi-supervised graph-level representation learning via mutual information maximization. arXiv preprint arXiv:1908.01000 (2019)."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3187556"},{"key":"e_1_3_2_1_46_1","volume-title":"The information bottleneck method. arXiv preprint physics\/0004057","author":"Tishby Naftali","year":"2000","unstructured":"Naftali Tishby, Fernando C Pereira, and William Bialek. 2000. The information bottleneck method. arXiv preprint physics\/0004057 (2000)."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"crossref","unstructured":"Naftali Tishby and Noga Zaslavsky. 2015. Deep learning and the information bottleneck principle. In 2015 ieee information theory workshop (itw). Ieee 1--5.","DOI":"10.1109\/ITW.2015.7133169"},{"key":"e_1_3_2_1_48_1","volume-title":"Proceedings of the AAAI conference on artificial intelligence","volume":"35","author":"Wan Zhibin","year":"2021","unstructured":"Zhibin Wan, Changqing Zhang, Pengfei Zhu, and Qinghua Hu. 2021. Multiview information-bottleneck representation learning. In Proceedings of the AAAI conference on artificial intelligence, Vol. 35. 10085--10092."},{"key":"e_1_3_2_1_49_1","volume-title":"LRMM: Learning to recommend with missing modalities. arXiv preprint arXiv:1808.06791","author":"Wang Cheng","year":"2018","unstructured":"Cheng Wang, Mathias Niepert, and Hui Li. 2018. LRMM: Learning to recommend with missing modalities. arXiv preprint arXiv:1808.06791 (2018)."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01524"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599330"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3138298"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403234"},{"key":"e_1_3_2_1_54_1","volume-title":"Generative recommendation: Towards next-generation recommender paradigm. arXiv preprint arXiv:2304.03516","author":"Wang Wenjie","year":"2023","unstructured":"Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, and Tat-Seng Chua. 2023. Generative recommendation: Towards next-generation recommender paradigm. arXiv preprint arXiv:2304.03516 (2023)."},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"crossref","unstructured":"Xiang Wang Xiangnan He Meng Wang Fuli Feng and Tat-Seng Chua. 2019. Neural Graph Collaborative Filtering. In SIGIR. ACM 165--174.","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539439"},{"key":"e_1_3_2_1_57_1","volume-title":"Contrastive graph structure learning via information bottleneck for recommendation. Advances in neural information processing systems 35","author":"Wei Chunyu","year":"2022","unstructured":"Chunyu Wei, Jian Liang, Di Liu, and FeiWang. 2022. Contrastive graph structure learning via information bottleneck for recommendation. Advances in neural information processing systems 35 (2022), 20407--20420."},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583206"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"crossref","unstructured":"Yinwei Wei Wenqi Liu Fan Liu Xiang Wang Liqiang Nie and Tat-Seng Chua. 2023. LightGT: A Light Graph Transformer for Multimedia Recommendation. In SIGIR. ACM 1508--1517.","DOI":"10.1145\/3539618.3591716"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"crossref","unstructured":"Yinwei Wei Xiang Wang Liqiang Nie Xiangnan He and Tat-Seng Chua. 2020. Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. In MM. ACM 3541--3549.","DOI":"10.1145\/3394171.3413556"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351034"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i3.25378"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401144"},{"key":"e_1_3_2_1_64_1","first-page":"20437","article-title":"Graph information bottleneck","volume":"33","author":"Wu Tailin","year":"2020","unstructured":"Tailin Wu, Hongyu Ren, Pan Li, and Jure Leskovec. 2020. Graph information bottleneck. Advances in Neural Information Processing Systems 33 (2020), 20437--20448.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_65_1","volume-title":"Mentor: multi-level self-supervised learning for multimodal recommendation. arXiv preprint arXiv:2402.19407","author":"Xu Jinfeng","year":"2024","unstructured":"Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, and Edith C-H Ngai. 2024. Mentor: multi-level self-supervised learning for multimodal recommendation. arXiv preprint arXiv:2402.19407 (2024)."},{"key":"e_1_3_2_1_66_1","volume-title":"Less is More: Information Bottleneck Denoised Multimedia Recommendation. arXiv preprint arXiv:2501.12175","author":"Yang Yonghui","year":"2025","unstructured":"Yonghui Yang, Le Wu, Zhuangzhuang He, Zhengwei Wu, Richang Hong, and Meng Wang. 2025. Less is More: Information Bottleneck Denoised Multimedia Recommendation. arXiv preprint arXiv:2501.12175 (2025)."},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671807"},{"key":"e_1_3_2_1_68_1","volume-title":"Graph contrastive learning with augmentations. Advances in neural information processing systems 33","author":"You Yuning","year":"2020","unstructured":"Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, and Yang Shen. 2020. Graph contrastive learning with augmentations. Advances in neural information processing systems 33 (2020), 5812--5823."},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3613915"},{"key":"e_1_3_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583461"},{"key":"e_1_3_2_1_71_1","volume-title":"Improving the adversarial robustness of NLP models by information bottleneck. arXiv preprint arXiv:2206.05511","author":"Zhang Cenyuan","year":"2022","unstructured":"Cenyuan Zhang, Xiang Zhou, Yixin Wan, Xiaoqing Zheng, Kai-Wei Chang, and Cho-Jui Hsieh. 2022. Improving the adversarial robustness of NLP models by information bottleneck. arXiv preprint arXiv:2206.05511 (2022)."},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475259"},{"key":"e_1_3_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591755"},{"key":"e_1_3_2_1_74_1","doi-asserted-by":"publisher","DOI":"10.1145\/3696410.3714840"},{"key":"e_1_3_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.3233\/FAIA230631"},{"key":"e_1_3_2_1_76_1","doi-asserted-by":"crossref","unstructured":"Xin Zhou Hongyu Zhou Yong Liu Zhiwei Zeng Chunyan Miao Pengwei Wang Yuan You and Feijun Jiang. 2023. Bootstrap Latent Representations for Multimodal Recommendation. In WWW. ACM 845--854.","DOI":"10.1145\/3543507.3583251"}],"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\/3746027.3755410","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T04:10:50Z","timestamp":1765339850000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746027.3755410"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,27]]},"references-count":76,"alternative-id":["10.1145\/3746027.3755410","10.1145\/3746027"],"URL":"https:\/\/doi.org\/10.1145\/3746027.3755410","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"}}]}}