Recoverable Identifier

arXiv:2605.03493 · detector doi_compliance · incontrovertible · 2026-05-19 15:18:08.369652+00:00

Paper page Integrity report arXiv Try DOI

Evidence text

5, pages 1404–1422 (cited on pages 28, 29). Chau, Duen Horng, Aniket Kittur, Jason I. Hong, and Christos Faloutsos (2011). “Apolo: Making sense of large network data by combining rich user interaction and machine learning”. In: Conference on Human Factors in Computing Systems.URL: https://www.cc.gatech.edu/ %7B~%7Ddchau/papers/11-chi-apolo.pdf(cited on page 15). Chen, Wei, Chi Wang, and Yajun Wang (2010). “Scalable influence maximization for prevalent viral marketing in large-scale social networks”. In:Knowledge Discovery and Data Mining (cited on page 44). Chen, Wei, Yajun Wang, and Yang Yuan (2016). “Combinatorial multi-armed bandit and its extension to probabilistically triggered arms”. In:Journal of Machine Learning Research17. URL: https : / / www . jmlr . org / papers / volume17 / 14 - 298 / 14 - 298 . pdf(cited on page 43). 80 References Chu, Lei, Lihong Li, Lev Reyzin, and Robert E. Schapire (2011). “Contextual bandits with linear payoff functions”. In:International Conference on Artificial Intelligence and Statistics(cited on pages 19, 51–53). Cohen, Alon, Tamir Hazan, and Tomer Koren (2016). “Online learning with feedback graphs without the graphs”. In:International Conference on Machine Learning(cited on page 35). “Collaborative filtering Bandits” (2016). In:Conference on Research and Development in Informa- tion Retrieval(cited on page 21). Combes, Richard and Alexandre Proutière (2014). “Unimodal bandits: Regret lower bounds and optimal algorithms”. In:Internatio

Evidence payload

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  "reconstructed_doi": "10.3929/ethz-a-010211630(citedon",
  "ref_index": 3,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
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