{"paper":{"title":"Linear and Neural Dueling Bandits with Delayed Feedback","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Jie Mao, Mingze Kong, Pingchen Lu, Xiangyi Wang, Zhi Hong, Zhiyong Wang, Zhongxiang Dai","submitted_at":"2026-05-26T05:07:25Z","abstract_excerpt":"Contextual dueling bandits form a cornerstone of preference-based decision-making, with critical applications in\n  recommender systems and large language model alignment. However, standard algorithms rely on the idealized assumption\n  of immediate feedback, a condition frequently violated in real-world scenarios such as prompt optimization. This\n  setting introduces a unique theoretical challenge: unlike linear bandits, dueling bandit estimators lack closed-form\n  solutions, rendering naive adaptations of standard weighting techniques biased. To address this, we formalize the\n  problem of Cont"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.26554","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/2605.26554/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"}