{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T14:51:47Z","timestamp":1783954307295,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":62,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,5,26]],"date-time":"2026-05-26T00:00:00Z","timestamp":1779753600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["CCF-2303372"],"award-info":[{"award-number":["CCF-2303372"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Schmidt Sciences","award":["G-24-66104"],"award-info":[{"award-number":["G-24-66104"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,5,26]]},"DOI":"10.1145\/3786335.3813172","type":"proceedings-article","created":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T03:16:22Z","timestamp":1779419782000},"page":"419-444","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["AI Realtor: Towards Grounded Persuasive Language Generation for Automated Copywriting"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1087-5893","authenticated-orcid":false,"given":"Jibang","family":"Wu","sequence":"first","affiliation":[{"name":"The University of Chicago, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0702-1034","authenticated-orcid":false,"given":"Chenghao","family":"Yang","sequence":"additional","affiliation":[{"name":"The University of Chicago, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6537-162X","authenticated-orcid":false,"given":"Yi","family":"Wu","sequence":"additional","affiliation":[{"name":"The University of Chicago, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7163-1677","authenticated-orcid":false,"given":"Simon","family":"Mahns","sequence":"additional","affiliation":[{"name":"The University of Chicago, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2685-535X","authenticated-orcid":false,"given":"Chaoqi","family":"Wang","sequence":"additional","affiliation":[{"name":"The University of Chicago, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3656-6818","authenticated-orcid":false,"given":"Hao","family":"Zhu","sequence":"additional","affiliation":[{"name":"Stanford University, Stanford, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2256-8329","authenticated-orcid":false,"given":"Fei","family":"Fang","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University, Pittsburg, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6371-4906","authenticated-orcid":false,"given":"Haifeng","family":"Xu","sequence":"additional","affiliation":[{"name":"The University of Chicago, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,5,26]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-214850-7.50022-X"},{"key":"e_1_3_3_2_3_2","unstructured":"Panagiotis Angelopoulos Kevin Lee and Sanjog Misra. 2024. Causal Alignment: Augmenting Language Models with A\/B Tests. Available at SSRN (2024)."},{"key":"e_1_3_3_2_4_2","unstructured":"Anthropic. 2024. Claude 3.5 Sonnet. https:\/\/www.anthropic.com\/news\/claude-3-5-sonnet AI language model."},{"key":"e_1_3_3_2_5_2","unstructured":"Gerry Antioch. 2013. Persuasion is now 30 per cent of US GDP: Revisiting McCloskey and Klamer after a quarter of a century. Economic Round-up1 (2013) 1\u201310."},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"crossref","unstructured":"Kenneth\u00a0J Arrow. 1996. The economics of information: An exposition. Empirica 23 2 (1996) 119\u2013128.","DOI":"10.1007\/BF00925335"},{"key":"e_1_3_3_2_7_2","unstructured":"Yuntao Bai Saurav Kadavath Sandipan Kundu Amanda Askell Jackson Kernion Andy Jones Anna Chen Anna Goldie Azalia Mirhoseini Cameron McKinnon et\u00a0al. 2022. Constitutional ai: Harmlessness from ai feedback. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2212.08073 (2022)."},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"crossref","unstructured":"Dirk Bergemann Benjamin Brooks and Stephen Morris. 2015. The limits of price discrimination. American Economic Review 105 3 (2015) 921\u2013957.","DOI":"10.1257\/aer.20130848"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"crossref","unstructured":"Dirk Bergemann and Stephen Morris. 2019. Information design: A unified perspective. Journal of Economic Literature 57 1 (2019) 44\u201395.","DOI":"10.1257\/jel.20181489"},{"key":"e_1_3_3_2_10_2","unstructured":"Federico Bianchi Patrick\u00a0John Chia Mert Yuksekgonul Jacopo Tagliabue Dan Jurafsky and James Zou. 2024. How well can llms negotiate? negotiationarena platform and analysis. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2402.05863 (2024)."},{"key":"e_1_3_3_2_11_2","volume-title":"Natural language processing with Python: analyzing text with the natural language toolkit","author":"Bird Steven","year":"2009","unstructured":"Steven Bird, Ewan Klein, and Edward Loper. 2009. Natural language processing with Python: analyzing text with the natural language toolkit. \" O\u2019Reilly Media, Inc.\"."},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v18i1.31304"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"crossref","unstructured":"Yiting Chen Tracy\u00a0Xiao Liu You Shan and Songfa Zhong. 2023. The emergence of economic rationality of GPT. Proceedings of the National Academy of Sciences 120 51 (2023) e2316205120.","DOI":"10.1073\/pnas.2316205120"},{"key":"e_1_3_3_2_14_2","volume-title":"Forty-first International Conference on Machine Learning","author":"Chiang Wei-Lin","year":"2024","unstructured":"Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios\u00a0Nikolas Angelopoulos, Tianle Li, Dacheng Li, Banghua Zhu, Hao Zhang, Michael Jordan, Joseph\u00a0E Gonzalez, et\u00a0al. 2024. Chatbot arena: An open platform for evaluating llms by human preference. In Forty-first International Conference on Machine Learning."},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"crossref","unstructured":"Brian\u00a0L Connelly S\u00a0Trevis Certo R\u00a0Duane Ireland and Christopher\u00a0R Reutzel. 2011. Signaling theory: A review and assessment. Journal of management 37 1 (2011) 39\u201367.","DOI":"10.1177\/0149206310388419"},{"key":"e_1_3_3_2_16_2","unstructured":"Carson Denison Monte MacDiarmid Fazl Barez David Duvenaud Shauna Kravec Samuel Marks Nicholas Schiefer Ryan Soklaski Alex Tamkin Jared Kaplan et\u00a0al. 2024. Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2406.10162 (2024)."},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"crossref","unstructured":"Angelika Dimoka Yili Hong and Paul\u00a0A Pavlou. 2012. On product uncertainty in online markets: Theory and evidence. MIS quarterly (2012) 395\u2013426.","DOI":"10.2307\/41703461"},{"key":"e_1_3_3_2_18_2","unstructured":"Esin Durmus Liane Lovitt Alex Tamkin Stuart Ritchie Jack Clark and Deep Ganguli. 2024. Measuring the Persuasiveness of Language Models."},{"key":"e_1_3_3_2_19_2","unstructured":"Arpad\u00a0E Elo. 1967. The proposed uscf rating system its development theory and applications. Chess life 22 8 (1967) 242\u2013247."},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"crossref","unstructured":"Jeffrey Ely Alexander Frankel and Emir Kamenica. 2015. Suspense and surprise. Journal of Political Economy 123 1 (2015) 215\u2013260.","DOI":"10.1086\/677350"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"crossref","unstructured":"Josh\u00a0A Goldstein Jason Chao Shelby Grossman Alex Stamos and Michael Tomz. 2024. How persuasive is AI-generated propaganda? PNAS nexus 3 2 (2024) pgae034.","DOI":"10.1093\/pnasnexus\/pgae034"},{"key":"e_1_3_3_2_22_2","unstructured":"Jonathan Grabinsky and Richard\u00a0V Reeves. 2015. The most American city: Chicago race and inequality. Retrieved from Brookings: https:\/\/www. brookings. edu\/blog\/social-mobility-memos\/2015\/12\/21\/the-mostamerican-city-chicago-race-and-inequality (2015)."},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"crossref","unstructured":"Sanford\u00a0J Grossman. 1981. The informational role of warranties and private disclosure about product quality. The Journal of law and Economics 24 3 (1981) 461\u2013483.","DOI":"10.1086\/466995"},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"crossref","unstructured":"Kobi Hackenburg and Helen Margetts. 2024. Evaluating the persuasive influence of political microtargeting with large language models. Proceedings of the National Academy of Sciences 121 24 (2024) e2403116121.","DOI":"10.1073\/pnas.2403116121"},{"key":"e_1_3_3_2_25_2","unstructured":"Kobi Hackenburg Ben\u00a0M Tappin Paul R\u00f6ttger Scott Hale Jonathan Bright and Helen Margetts. 2024. Evidence of a log scaling law for political persuasion with large language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2406.14508 (2024)."},{"key":"e_1_3_3_2_26_2","unstructured":"Aaron Hurst Adam Lerer Adam\u00a0P Goucher Adam Perelman Aditya Ramesh Aidan Clark AJ Ostrow Akila Welihinda Alan Hayes Alec Radford et\u00a0al. 2024. Gpt-4o system card. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2410.21276 (2024)."},{"key":"e_1_3_3_2_27_2","unstructured":"Aaron Jaech Adam Kalai Adam Lerer Adam Richardson Ahmed El-Kishky Aiden Low Alec Helyar Aleksander Madry Alex Beutel Alex Carney et\u00a0al. 2024. Openai o1 system card. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2412.16720 (2024)."},{"key":"e_1_3_3_2_28_2","unstructured":"Albert\u00a0Q Jiang Alexandre Sablayrolles Antoine Roux Arthur Mensch Blanche Savary Chris Bamford Devendra\u00a0Singh Chaplot Diego de\u00a0las Casas Emma\u00a0Bou Hanna Florian Bressand et\u00a0al. 2024. Mixtral of experts. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2401.04088 (2024)."},{"key":"e_1_3_3_2_29_2","doi-asserted-by":"crossref","unstructured":"Emir Kamenica and Matthew Gentzkow. 2011. Bayesian persuasion. American Economic Review 101 6 (2011) 2590\u20132615.","DOI":"10.1257\/aer.101.6.2590"},{"key":"e_1_3_3_2_30_2","unstructured":"Akbir Khan John Hughes Dan Valentine Laura Ruis Kshitij Sachan Ansh Radhakrishnan Edward Grefenstette Samuel\u00a0R Bowman Tim Rockt\u00e4schel and Ethan Perez. 2024. Debating with more persuasive llms leads to more truthful answers. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2402.06782 (2024)."},{"key":"e_1_3_3_2_31_2","doi-asserted-by":"crossref","unstructured":"Pablo Kurlat and Florian Scheuer. 2021. Signalling to experts. The Review of Economic Studies 88 2 (2021) 800\u2013850.","DOI":"10.1093\/restud\/rdaa068"},{"key":"e_1_3_3_2_32_2","doi-asserted-by":"crossref","unstructured":"Steven\u00a0D Levitt and Chad Syverson. 2008. Market distortions when agents are better informed: The value of information in real estate transactions. The Review of Economics and Statistics 90 4 (2008) 599\u2013611.","DOI":"10.1162\/rest.90.4.599"},{"key":"e_1_3_3_2_33_2","doi-asserted-by":"crossref","unstructured":"Gregory Lewis. 2011. Asymmetric information adverse selection and online disclosure: The case of eBay motors. American Economic Review 101 4 (2011) 1535\u20131546.","DOI":"10.1257\/aer.101.4.1535"},{"key":"e_1_3_3_2_34_2","unstructured":"Patrick Lewis Ethan Perez Aleksandra Piktus Fabio Petroni Vladimir Karpukhin Naman Goyal Heinrich K\u00fcttler Mike Lewis Wen-tau Yih Tim Rockt\u00e4schel et\u00a0al. 2020. Retrieval-augmented generation for knowledge-intensive nlp tasks. Advances in Neural Information Processing Systems 33 (2020) 9459\u20139474."},{"key":"e_1_3_3_2_35_2","doi-asserted-by":"crossref","unstructured":"Adam Lindgreen and Joelle Vanhamme. 2005. Viral marketing: The use of surprise. Advances in electronic marketing (2005) 122\u2013138.","DOI":"10.4018\/978-1-59140-321-0.ch007"},{"key":"e_1_3_3_2_36_2","doi-asserted-by":"crossref","unstructured":"Karl-Gustaf L\u00f6fgren Torsten Persson and J\u00f6rgen\u00a0W Weibull. 2002. Markets with asymmetric information: the contributions of George Akerlof Michael Spence and Joseph Stiglitz. The Scandinavian Journal of Economics (2002) 195\u2013211.","DOI":"10.1111\/1467-9442.00280"},{"key":"e_1_3_3_2_37_2","doi-asserted-by":"crossref","unstructured":"Floridi Luciano. 2024. Hypersuasion\u2013On AI\u2019s Persuasive Power and How to Deal with It. Philosophy & Technology 37 2 (2024) 1\u201310.","DOI":"10.1007\/s13347-024-00756-6"},{"key":"e_1_3_3_2_38_2","doi-asserted-by":"crossref","unstructured":"Geke\u00a0DS Ludden Hendrik\u00a0NJ Schifferstein and Paul Hekkert. 2008. Surprise as a design strategy. Design Issues 24 2 (2008) 28\u201338.","DOI":"10.1162\/desi.2008.24.2.28"},{"key":"e_1_3_3_2_39_2","doi-asserted-by":"crossref","unstructured":"SC Matz JD Teeny Sumer\u00a0S Vaid H Peters GM Harari and M Cerf. 2024. The potential of generative AI for personalized persuasion at scale. Scientific Reports 14 1 (2024) 4692.","DOI":"10.1038\/s41598-024-53755-0"},{"key":"e_1_3_3_2_40_2","unstructured":"Rui Meng Ye Liu Shafiq\u00a0Rayhan Joty Caiming Xiong Yingbo Zhou and Semih Yavuz. 2024. Sfrembedding-mistral: enhance text retrieval with transfer learning. Salesforce AI Research Blog 3 (2024)."},{"key":"e_1_3_3_2_41_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.741"},{"key":"e_1_3_3_2_42_2","unstructured":"OpenAI. 2024. GPT-4o. Available at: https:\/\/openai.com\/index\/hello-gpt-4o\/."},{"key":"e_1_3_3_2_43_2","unstructured":"OpenAI. 2024. GPT-4o mini: Advancing cost-efficient intelligence. https:\/\/openai.com\/index\/gpt-4o-mini-advancing-cost-efficient-intelligence\/ Accessed: 2024-09-19."},{"key":"e_1_3_3_2_44_2","volume-title":"Forty-first International Conference on Machine Learning","author":"Raman Narun\u00a0Krishnamurthi","year":"2024","unstructured":"Narun\u00a0Krishnamurthi Raman, Taylor Lundy, Samuel\u00a0Joseph Amouyal, Yoav Levine, Kevin Leyton-Brown, and Moshe Tennenholtz. 2024. STEER: Assessing the Economic Rationality of Large Language Models. In Forty-first International Conference on Machine Learning."},{"key":"e_1_3_3_2_45_2","doi-asserted-by":"crossref","unstructured":"Francesco Salvi Manoel\u00a0Horta Ribeiro Riccardo Gallotti and Robert West. 2024. On the conversational persuasiveness of large language models: A randomized controlled trial. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2403.14380 (2024).","DOI":"10.21203\/rs.3.rs-4429707\/v1"},{"key":"e_1_3_3_2_46_2","doi-asserted-by":"publisher","DOI":"10.7208\/chicago\/9780226733883.001.0001"},{"key":"e_1_3_3_2_47_2","unstructured":"Mrinank Sharma Meg Tong Tomasz Korbak David Duvenaud Amanda Askell Samuel\u00a0R Bowman Newton Cheng Esin Durmus Zac Hatfield-Dodds Scott\u00a0R Johnston et\u00a0al. 2023. Towards understanding sycophancy in language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2310.13548 (2023)."},{"key":"e_1_3_3_2_48_2","unstructured":"Somesh Singh Yaman\u00a0K Singla Harini SI and Balaji Krishnamurthy. 2024. Measuring and Improving Persuasiveness of Large Language Models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2410.02653 (2024)."},{"key":"e_1_3_3_2_49_2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-214850-7.50025-5"},{"key":"e_1_3_3_2_50_2","unstructured":"Joseph\u00a0E Stiglitz. 1975. The theory of\" screening \" education and the distribution of income. The American economic review 65 3 (1975) 283\u2013300."},{"key":"e_1_3_3_2_51_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.findings-naacl.22"},{"key":"e_1_3_3_2_52_2","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883081"},{"key":"e_1_3_3_2_53_2","unstructured":"Reddit User. 2023. ChatGPT helped me save $50K buying\/selling a house. https:\/\/www.reddit.com\/r\/ChatGPT\/comments\/12z8g3l\/chatgpt_helped_me_save_50k_buyingselling_a_house\/. [Online; posted April 27 2023]."},{"key":"e_1_3_3_2_54_2","unstructured":"Jan\u00a0G Voelkel Robb Willer et\u00a0al. 2023. Artificial intelligence can persuade humans on political issues. (2023)."},{"key":"e_1_3_3_2_55_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.737"},{"key":"e_1_3_3_2_56_2","unstructured":"Xuewei Wang Weiyan Shi Richard Kim Yoojung Oh Sijia Yang Jingwen Zhang and Zhou Yu. 2019. Persuasion for good: Towards a personalized persuasive dialogue system for social good. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1906.06725 (2019)."},{"key":"e_1_3_3_2_57_2","doi-asserted-by":"crossref","unstructured":"Jason Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Fei Xia Ed Chi Quoc\u00a0V Le Denny Zhou et\u00a0al. 2022. Chain-of-thought prompting elicits reasoning in large language models. Advances in neural information processing systems 35 (2022) 24824\u201324837.","DOI":"10.52202\/068431-1800"},{"key":"e_1_3_3_2_58_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-2032"},{"key":"e_1_3_3_2_59_2","unstructured":"Jian Xie Kai Zhang Jiangjie Chen Tinghui Zhu Renze Lou Yuandong Tian Yanghua Xiao and Yu Su. 2024. Travelplanner: A benchmark for real-world planning with language agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2402.01622 (2024)."},{"key":"e_1_3_3_2_60_2","doi-asserted-by":"crossref","unstructured":"Shunyu Yao Howard Chen John Yang and Karthik Narasimhan. 2022. Webshop: Towards scalable real-world web interaction with grounded language agents. Advances in Neural Information Processing Systems 35 (2022) 20744\u201320757.","DOI":"10.52202\/068431-1508"},{"key":"e_1_3_3_2_61_2","doi-asserted-by":"crossref","unstructured":"Lianmin Zheng Wei-Lin Chiang Ying Sheng Siyuan Zhuang Zhanghao Wu Yonghao Zhuang Zi Lin Zhuohan Li Dacheng Li Eric Xing et\u00a0al. 2023. Judging llm-as-a-judge with mt-bench and chatbot arena. Advances in Neural Information Processing Systems 36 (2023) 46595\u201346623.","DOI":"10.52202\/075280-2020"},{"key":"e_1_3_3_2_62_2","unstructured":"Xuhui Zhou Hao Zhu Leena Mathur Ruohong Zhang Zhengyang Qi Haofei Yu Louis-Philippe Morency Yonatan Bisk Daniel Fried Graham Neubig and Maarten Sap. 2024. SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents. ICLR. https:\/\/openreview.net\/forum?id=mM7VurbA4r"},{"key":"e_1_3_3_2_63_2","unstructured":"Zillow. n. d.. Creative Real Estate Listing Descriptions. https:\/\/www.zillow.com\/agents\/writing-real-estate-descriptions\/. Accessed: 2025-11-20."}],"event":{"name":"CAIS '26: ACM Conference on AI and Agentic Systems","location":"San Jose CA USA","acronym":"CAIS '26"},"container-title":["Proceedings of the ACM Conference on AI and Agentic Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3786335.3813172","content-type":"text\/html","content-version":"vor","intended-application":"syndication"}],"deposited":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T03:28:00Z","timestamp":1779420480000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3786335.3813172"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,26]]},"references-count":62,"alternative-id":["10.1145\/3786335.3813172","10.1145\/3786335"],"URL":"https:\/\/doi.org\/10.1145\/3786335.3813172","relation":{},"subject":[],"published":{"date-parts":[[2026,5,26]]},"assertion":[{"value":"2026-05-26","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}