{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T04:06:20Z","timestamp":1779422780036,"version":"3.53.1"},"publisher-location":"New York, NY, USA","reference-count":37,"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"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,5,26]]},"DOI":"10.1145\/3786335.3813124","type":"proceedings-article","created":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T03:16:22Z","timestamp":1779419782000},"page":"1009-1022","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["XGrammar-2: Dynamic and Efficient Structured Generation Engine for Agentic LLMs"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-7003-4037","authenticated-orcid":false,"given":"Linzhang","family":"Li","sequence":"first","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4553-5938","authenticated-orcid":false,"given":"Yixin","family":"Dong","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University, Pittsburgh, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4340-7572","authenticated-orcid":false,"given":"Guanjie","family":"Wang","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4411-9773","authenticated-orcid":false,"given":"Ziyi","family":"Xu","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-3090-5943","authenticated-orcid":false,"given":"Alexander","family":"Jiang","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University, Pittsburgh, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5744-3940","authenticated-orcid":false,"given":"Tianqi","family":"Chen","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University, Pittsburgh, USA and NVIDIA, Santa Clara, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,5,26]]},"reference":[{"key":"e_1_3_3_1_2_2","unstructured":"1996. Information technology \u2014 Syntactic metalanguage \u2014 Extended BNF."},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","unstructured":"Alfred\u00a0V. Aho and Margaret\u00a0J. Corasick. 1975. Efficient string matching: an aid to bibliographic search. Commun. ACM 18 6 (June 1975) 333\u2013340. 10.1145\/360825.360855360825.360855\"\/>","DOI":"10.1145\/360825.360855"},{"key":"e_1_3_3_1_4_2","unstructured":"Tamer Alkhouli Katerina Margatina James Gung Raphael Shu Claudia Zaghi Monica Sunkara and Yi Zhang. 2025. CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions. arxiv:https:\/\/arXiv.org\/abs\/2506.01859\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2506.01859"},{"key":"e_1_3_3_1_5_2","volume-title":"Advances in Neural Information Processing Systems","author":"Bridle John","year":"1989","unstructured":"John Bridle. 1989. Training Stochastic Model Recognition Algorithms as Networks can Lead to Maximum Mutual Information Estimation of Parameters. In Advances in Neural Information Processing Systems, D.\u00a0Touretzky (Ed.), Vol.\u00a02. Morgan-Kaufmann. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/1989\/file\/0336dcbab05b9d5ad24f4333c7658a0e-Paper.pdf"},{"key":"e_1_3_3_1_6_2","unstructured":"Sahil Chaudhary. 2023. Code Alpaca: An Instruction-following LLaMA model for code generation. https:\/\/github.com\/sahil280114\/codealpaca."},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","unstructured":"N. Chomsky. 1956. Three models for the description of language. IRE Transactions on Information Theory 2 3 (1956) 113\u2013124. 10.1109\/TIT.1956.1056813","DOI":"10.1109\/TIT.1956.1056813"},{"key":"e_1_3_3_1_8_2","unstructured":"DeepSeek-AI Daya Guo Dejian Yang Haowei Zhang Junxiao Song Ruoyu Zhang Runxin Xu Qihao Zhu Shirong Ma Peiyi Wang Xiao Bi Xiaokang Zhang Xingkai Yu Yu Wu Z.\u00a0F. Wu Zhibin Gou Zhihong Shao Zhuoshu Li Ziyi Gao Aixin Liu Bing Xue Bingxuan Wang Bochao Wu Bei Feng Chengda Lu Chenggang Zhao Chengqi Deng Chenyu Zhang Chong Ruan Damai Dai Deli Chen Dongjie Ji Erhang Li Fangyun Lin Fucong Dai Fuli Luo Guangbo Hao Guanting Chen Guowei Li H. Zhang Han Bao Hanwei Xu Haocheng Wang Honghui Ding Huajian Xin Huazuo Gao Hui Qu Hui Li Jianzhong Guo Jiashi Li Jiawei Wang Jingchang Chen Jingyang Yuan Junjie Qiu Junlong Li J.\u00a0L. Cai Jiaqi Ni Jian Liang Jin Chen Kai Dong Kai Hu Kaige Gao Kang Guan Kexin Huang Kuai Yu Lean Wang Lecong Zhang Liang Zhao Litong Wang Liyue Zhang Lei Xu Leyi Xia Mingchuan Zhang Minghua Zhang Minghui Tang Meng Li Miaojun Wang Mingming Li Ning Tian Panpan Huang Peng Zhang Qiancheng Wang Qinyu Chen Qiushi Du Ruiqi Ge Ruisong Zhang Ruizhe Pan Runji Wang R.\u00a0J. Chen R.\u00a0L. Jin Ruyi Chen Shanghao Lu Shangyan Zhou Shanhuang Chen Shengfeng Ye Shiyu Wang Shuiping Yu Shunfeng Zhou Shuting Pan S.\u00a0S. Li Shuang Zhou Shaoqing Wu Shengfeng Ye Tao Yun Tian Pei Tianyu Sun T. Wang Wangding Zeng Wanjia Zhao Wen Liu Wenfeng Liang Wenjun Gao Wenqin Yu Wentao Zhang W.\u00a0L. Xiao Wei An Xiaodong Liu Xiaohan Wang Xiaokang Chen Xiaotao Nie Xin Cheng Xin Liu Xin Xie Xingchao Liu Xinyu Yang Xinyuan Li Xuecheng Su Xuheng Lin X.\u00a0Q. Li Xiangyue Jin Xiaojin Shen Xiaosha Chen Xiaowen Sun Xiaoxiang Wang Xinnan Song Xinyi Zhou Xianzu Wang Xinxia Shan Y.\u00a0K. Li Y.\u00a0Q. Wang Y.\u00a0X. Wei Yang Zhang Yanhong Xu Yao Li Yao Zhao Yaofeng Sun Yaohui Wang Yi Yu Yichao Zhang Yifan Shi Yiliang Xiong Ying He Yishi Piao Yisong Wang Yixuan Tan Yiyang Ma Yiyuan Liu Yongqiang Guo Yuan Ou Yuduan Wang Yue Gong Yuheng Zou Yujia He Yunfan Xiong Yuxiang Luo Yuxiang You Yuxuan Liu Yuyang Zhou Y.\u00a0X. Zhu Yanhong Xu Yanping Huang Yaohui Li Yi Zheng Yuchen Zhu Yunxian Ma Ying Tang Yukun Zha Yuting Yan Z.\u00a0Z. Ren Zehui Ren Zhangli Sha Zhe Fu Zhean Xu Zhenda Xie Zhengyan Zhang Zhewen Hao Zhicheng Ma Zhigang Yan Zhiyu Wu Zihui Gu Zijia Zhu Zijun Liu Zilin Li Ziwei Xie Ziyang Song Zizheng Pan Zhen Huang Zhipeng Xu Zhongyu Zhang and Zhen Zhang. 2025. DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. arxiv:https:\/\/arXiv.org\/abs\/2501.12948\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2501.12948"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/K19-1045"},{"key":"e_1_3_3_1_10_2","unstructured":"Yixin Dong Charlie\u00a0F Ruan Yaxing Cai Ruihang Lai Ziyi Xu Yilong Zhao and Tianqi Chen. 2024. Xgrammar: Flexible and efficient structured generation engine for large language models. Proceedings of Machine Learning and Systems 7 (2024)."},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","unstructured":"Jay Earley. 1970. An efficient context-free parsing algorithm. Commun. ACM 13 2 (1970) 94\u2013102. 10.1145\/362007.362035362007.362035\"\/>","DOI":"10.1145\/362007.362035"},{"key":"e_1_3_3_1_12_2","unstructured":"Saibo Geng Hudson Cooper Micha\u0142 Moskal Samuel Jenkins Julian Berman Nathan Ranchin Robert West Eric Horvitz and Harsha Nori. 2025. Generating Structured Outputs from Language Models: Benchmark and Studies. arxiv:https:\/\/arXiv.org\/abs\/2501.10868\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2501.10868"},{"key":"e_1_3_3_1_13_2","unstructured":"Guidance-ai. 2024. GitHub - guidance-ai\/llguidance: Super-fast Structured Outputs \u2014 github.com. https:\/\/github.com\/guidance-ai\/llguidance. [Accessed 13-10-2025]."},{"key":"e_1_3_3_1_14_2","unstructured":"Caleb Helbling. 2020. Directed Graph Hashing. CoRR abs\/2002.06653 (2020). arXiv:https:\/\/arXiv.org\/abs\/2002.06653https:\/\/arxiv.org\/abs\/2002.06653"},{"key":"e_1_3_3_1_15_2","volume-title":"ModelTC\/lightllm","year":"2024","unstructured":"hiworldwzj, shihaobai, sufubao, WANDY666, FlyingFlame, llehtahw, LiangLiu, wxd000000, fuheaven, XHPlus, Chielo, Yang Yong, and_gate, sangchengmeng, wangzhihong, singularity, Shuo Yang, Wu SiYu, Tracin, Elsa Granger, Hamel Husain, S\u00a0A G\u00a0A R, SunXiaoye, Tao Peng, Uranus, Yunfeng Bai, Yunqian Fan, bingo, liuhuakai, and XFPlus. 2024. ModelTC\/lightllm. https:\/\/github.com\/ModelTC\/lightllm"},{"key":"e_1_3_3_1_16_2","unstructured":"Michael Kuchnik Virginia Smith and George Amvrosiadis. 2023. Validating large language models with relm. Proceedings of Machine Learning and Systems 5 (2023) 457\u2013476."},{"key":"e_1_3_3_1_17_2","unstructured":"Dominik Kundel. 2025. OpenAI Harmony Response Format. https:\/\/cookbook.openai.com\/articles\/openai-harmony\/. Accessed: 2025-10-27."},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1145\/3600006.3613165"},{"key":"e_1_3_3_1_19_2","unstructured":"Raymond Li Loubna\u00a0Ben Allal Yangtian Zi Niklas Muennighoff Denis Kocetkov Chenghao Mou Marc Marone Christopher Akiki Jia Li Jenny Chim Qian Liu Evgenii Zheltonozhskii Terry\u00a0Yue Zhuo Thomas Wang Olivier Dehaene Mishig Davaadorj Joel Lamy-Poirier Jo\u00e3o Monteiro Oleh Shliazhko Nicolas Gontier Nicholas Meade Armel Zebaze Ming-Ho Yee Logesh\u00a0Kumar Umapathi Jian Zhu Benjamin Lipkin Muhtasham Oblokulov Zhiruo Wang Rudra Murthy Jason Stillerman Siva\u00a0Sankalp Patel Dmitry Abulkhanov Marco Zocca Manan Dey Zhihan Zhang Nour Fahmy Urvashi Bhattacharyya Wenhao Yu Swayam Singh Sasha Luccioni Paulo Villegas Maxim Kunakov Fedor Zhdanov Manuel Romero Tony Lee Nadav Timor Jennifer Ding Claire Schlesinger Hailey Schoelkopf Jan Ebert Tri Dao Mayank Mishra Alex Gu Jennifer Robinson Carolyn\u00a0Jane Anderson Brendan Dolan-Gavitt Danish Contractor Siva Reddy Daniel Fried Dzmitry Bahdanau Yacine Jernite Carlos\u00a0Mu\u00f1oz Ferrandis Sean Hughes Thomas Wolf Arjun Guha Leandro von Werra and Harm de Vries. 2023. StarCoder: may the source be with you! arxiv:https:\/\/arXiv.org\/abs\/2305.06161\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2305.06161"},{"key":"e_1_3_3_1_20_2","unstructured":"Meta-AI. 2024. Tool calling with Llama. https:\/\/www.llama.com\/resources\/cookbook\/toolcalling-with-llama\/. Accessed: 2025-10-27."},{"key":"e_1_3_3_1_21_2","volume-title":"What is Foundry Agent Service?","year":"2026","unstructured":"Microsoft. 2026. What is Foundry Agent Service? Microsoft. https:\/\/learn.microsoft.com\/en-us\/azure\/ai-foundry\/agents\/overview Accessed: 2026-02-22; Microsoft Learn documentation on Azure AI Foundry Agent Service overview."},{"key":"e_1_3_3_1_22_2","unstructured":"MLC team. 2023. MLC-LLM. https:\/\/github.com\/mlc-ai\/mlc-llm"},{"key":"e_1_3_3_1_23_2","unstructured":"Sidharth Mudgal Jong Lee Harish Ganapathy YaGuang Li Tao Wang Yanping Huang Zhifeng Chen Heng-Tze Cheng Michael Collins Trevor Strohman Jilin Chen Alex Beutel and Ahmad Beirami. 2024. Controlled Decoding from Language Models. arxiv:https:\/\/arXiv.org\/abs\/2310.17022\u00a0[cs.LG] https:\/\/arxiv.org\/abs\/2310.17022"},{"key":"e_1_3_3_1_24_2","unstructured":"Andreas Opedal Ran Zmigrod Tim Vieira Ryan Cotterell and Jason Eisner. 2023. Efficient Semiring-Weighted Earley Parsing. arxiv:https:\/\/arXiv.org\/abs\/2307.02982\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2307.02982"},{"key":"e_1_3_3_1_25_2","unstructured":"OpenAI : Sandhini Agarwal Lama Ahmad Jason Ai Sam Altman Andy Applebaum Edwin Arbus Rahul\u00a0K. Arora Yu Bai Bowen Baker Haiming Bao Boaz Barak Ally Bennett Tyler Bertao Nivedita Brett Eugene Brevdo Greg Brockman Sebastien Bubeck Che Chang Kai Chen Mark Chen Enoch Cheung Aidan Clark Dan Cook Marat Dukhan Casey Dvorak Kevin Fives Vlad Fomenko Timur Garipov Kristian Georgiev Mia Glaese Tarun Gogineni Adam Goucher Lukas Gross Katia\u00a0Gil Guzman John Hallman Jackie Hehir Johannes Heidecke Alec Helyar Haitang Hu Romain Huet Jacob Huh Saachi Jain Zach Johnson Chris Koch Irina Kofman Dominik Kundel Jason Kwon Volodymyr Kyrylov Elaine\u00a0Ya Le Guillaume Leclerc James\u00a0Park Lennon Scott Lessans Mario Lezcano-Casado Yuanzhi Li Zhuohan Li Ji Lin Jordan Liss Lily Liu Jiancheng Liu Kevin Lu Chris Lu Zoran Martinovic Lindsay McCallum Josh McGrath Scott McKinney Aidan McLaughlin Song Mei Steve Mostovoy Tong Mu Gideon Myles Alexander Neitz Alex Nichol Jakub Pachocki Alex Paino Dana Palmie Ashley Pantuliano Giambattista Parascandolo Jongsoo Park Leher Pathak Carolina Paz Ludovic Peran Dmitry Pimenov Michelle Pokrass Elizabeth Proehl Huida Qiu Gaby Raila Filippo Raso Hongyu Ren Kimmy Richardson David Robinson Bob Rotsted Hadi Salman Suvansh Sanjeev Max Schwarzer D. Sculley Harshit Sikchi Kendal Simon Karan Singhal Yang Song Dane Stuckey Zhiqing Sun Philippe Tillet Sam Toizer Foivos Tsimpourlas Nikhil Vyas Eric Wallace Xin Wang Miles Wang Olivia Watkins Kevin Weil Amy Wendling Kevin Whinnery Cedric Whitney Hannah Wong Lin Yang Yu Yang Michihiro Yasunaga Kristen Ying Wojciech Zaremba Wenting Zhan Cyril Zhang Brian Zhang Eddie Zhang and Shengjia Zhao. 2025. gpt-oss-120b & gpt-oss-20b Model Card. arxiv:https:\/\/arXiv.org\/abs\/2508.10925\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2508.10925"},{"key":"e_1_3_3_1_26_2","unstructured":"OpenAI Help Center. 2025. Apps in ChatGPT. https:\/\/help.openai.com\/en\/articles\/11487775-apps-in-chatgpt. https:\/\/help.openai.com\/en\/articles\/11487775-apps-in-chatgpt Accessed: 2026-02-27."},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606763"},{"key":"e_1_3_3_1_28_2","volume-title":"Forty-second International Conference on Machine Learning","author":"Patil Shishir\u00a0G.","year":"2025","unstructured":"Shishir\u00a0G. Patil, Huanzhi Mao, Charlie Cheng-Jie\u00a0Ji, Fanjia Yan, Vishnu Suresh, Ion Stoica, and Joseph E.\u00a0Gonzalez. 2025. The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models. In Forty-second International Conference on Machine Learning."},{"key":"e_1_3_3_1_29_2","unstructured":"Qwen. 2024. Function Calling \u2013 Qwen. https:\/\/qwen.readthedocs.io\/en\/latest\/framework\/function_call.html. Accessed: 2025-10-27."},{"key":"e_1_3_3_1_30_2","unstructured":"Baptiste Rozi\u00e8re Jonas Gehring Fabian Gloeckle Sten Sootla Itai Gat Xiaoqing\u00a0Ellen Tan Yossi Adi Jingyu Liu Romain Sauvestre Tal Remez J\u00e9r\u00e9my Rapin Artyom Kozhevnikov Ivan Evtimov Joanna Bitton Manish Bhatt Cristian\u00a0Canton Ferrer Aaron Grattafiori Wenhan Xiong Alexandre D\u00e9fossez Jade Copet Faisal Azhar Hugo Touvron Louis Martin Nicolas Usunier Thomas Scialom and Gabriel Synnaeve. 2024. Code Llama: Open Foundation Models for Code. arxiv:https:\/\/arXiv.org\/abs\/2308.12950\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2308.12950"},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"crossref","unstructured":"Torsten Scholak Nathan Schucher and Dzmitry Bahdanau. 2021. PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. arxiv:https:\/\/arXiv.org\/abs\/2109.05093\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2109.05093","DOI":"10.18653\/v1\/2021.emnlp-main.779"},{"key":"e_1_3_3_1_32_2","unstructured":"Bailin Wang Zi Wang Xuezhi Wang Yuan Cao Rif\u00a0A. Saurous and Yoon Kim. 2023. Grammar Prompting for Domain-Specific Language Generation with Large Language Models. arxiv:https:\/\/arXiv.org\/abs\/2305.19234\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2305.19234"},{"key":"e_1_3_3_1_33_2","unstructured":"Ran Wang Xiaoxuan Liu Hao Ren Gang Chen Fanchao Qi and Maosong Sun. 2025. WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding. arxiv:https:\/\/arXiv.org\/abs\/2507.16768\u00a0[cs.AI] https:\/\/arxiv.org\/abs\/2507.16768"},{"key":"e_1_3_3_1_34_2","unstructured":"Brandon\u00a0T. Willard and R\u00e9mi Louf. 2023. Efficient Guided Generation for Large Language Models. arxiv:https:\/\/arXiv.org\/abs\/2307.09702\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2307.09702"},{"key":"e_1_3_3_1_35_2","unstructured":"Zihao Ye Lequn Chen Ruihang Lai Wuwei Lin Yineng Zhang Stephanie Wang Tianqi Chen Baris Kasikci Vinod Grover Arvind Krishnamurthy and Luis Ceze. 2025. FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving. arxiv:https:\/\/arXiv.org\/abs\/2501.01005\u00a0[cs.DC] https:\/\/arxiv.org\/abs\/2501.01005"},{"key":"e_1_3_3_1_36_2","unstructured":"Pengcheng Yin and Graham Neubig. 2017. A Syntactic Neural Model for General-Purpose Code Generation. arxiv:https:\/\/arXiv.org\/abs\/1704.01696\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/1704.01696"},{"key":"e_1_3_3_1_37_2","first-page":"521","volume-title":"16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 22)","author":"Yu Gyeong-In","year":"2022","unstructured":"Gyeong-In Yu, Joo\u00a0Seong Jeong, Geon-Woo Kim, Soojeong Kim, and Byung-Gon Chun. 2022. Orca: A Distributed Serving System for Transformer-Based Generative Models. In 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 22). USENIX Association, Carlsbad, CA, 521\u2013538. https:\/\/www.usenix.org\/conference\/osdi22\/presentation\/yu"},{"key":"e_1_3_3_1_38_2","unstructured":"Lianmin Zheng Liangsheng Yin Zhiqiang Xie Chuyue Sun Jeff Huang Cody\u00a0Hao Yu Shiyi Cao Christos Kozyrakis Ion Stoica Joseph\u00a0E. Gonzalez Clark Barrett and Ying Sheng. 2024. SGLang: Efficient Execution of Structured Language Model Programs. arxiv:https:\/\/arXiv.org\/abs\/2312.07104\u00a0[cs.AI] https:\/\/arxiv.org\/abs\/2312.07104"}],"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":[],"deposited":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T03:17:27Z","timestamp":1779419847000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3786335.3813124"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,26]]},"references-count":37,"alternative-id":["10.1145\/3786335.3813124","10.1145\/3786335"],"URL":"https:\/\/doi.org\/10.1145\/3786335.3813124","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"}}]}}