{"paper":{"title":"AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.IR"],"primary_cat":"cs.AI","authors_text":"Baoning Xia, Changxin Lao, Chao Liu, Chaoyi Ma, Chubo He, Dawei Cong, Fei Pan, Feng Jiang, Gang Wang, Guilin Xia, Guozhuang Ma, Han Li, Hanwen Xu, Huihuang Lin, Jiahong Xie, Jiahui Qiao, Jiangfan Yue, Jian Liang, Jijun Shi, Jinghan Yang, Jinghui Jia, Jing Wang, Kangzhi Zhao, Kan Qin, Kun Gai, Lei Wang, Ming Li, Mo Zhou, Peilin Song, Pengbo Xu, Qiang Luo, Qinqin Zhou, Quan Chen, Ruiming Tang, Ruochen Yang, Shifu Bie, Shiyang Liu, Shuang Yang, Shuo Yang, Shuxian Jin, Tao Wang, Tao Zhang, Wenhao Li, Wentao Xie, Xiang Gao, Xianghan Li, Xiao Lv, Xuming Wang, Yijun Wang, Yiming Chen, Yingsong Luo, Yiwen Ning, Yongcheng Liu, Yuan Guo, Yusheng Huang, Zhaojie Liu, Zhenkai Cui, Zhongyuan Wang, Zibo Zhao, Zijie Zhuang","submitted_at":"2026-06-25T10:42:28Z","abstract_excerpt":"Recommendation algorithm iteration is moving from an artisanal, engineer-bound process toward an industrialized research loop, but this transition remains blocked by a structural execution bottleneck: the idea-to-launch cycle still depends on human engineers to generate hypotheses, modify production code, launch A/B experiments, and attribute online results. Innovation therefore scales linearly with headcount rather than compounding with evidence, compute, and accumulated experimental knowledge. We present AgentX, a production-deployed multi-agent system that fundamentally restructures this pr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.26859","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.26859/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}