RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems | Paper Citation Record

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This paper cites Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining , pages=.

RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining , pages=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Advances in neural information processing systems , volume=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems ACM Transactions on Information Systems , volume=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Automated machine learning: Methods, systems, challenges , pages=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining , pages=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Advances in neural information processing systems , volume=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems 2019 , url=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems ACM Computing Surveys (CSUR) , volume=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems The Eleventh International Conference on Learning Representations , year=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems International Conference on Learning Representations , volume=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Advances in Neural Information Processing Systems , volume=

Reference 12

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Findings of the Association for Computational Linguistics: ACL 2026 , pages=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Proceedings of the ACM Web Conference 2022 , pages=

Reference 14

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining , pages=

Reference 15

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems 2022 IEEE 38th International Conference on Data Engineering (ICDE) , pages=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Advances in Neural Information Processing Systems , volume=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning

Reference 23

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Advances in Neural Information Processing Systems , volume=

Reference 24

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems 2018 IEEE international conference on data mining (ICDM) , pages=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Proceedings of the 28th ACM international conference on information and knowledge management , pages=

Reference 26

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages=

Reference 28

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and data mining , pages=

Reference 29

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Proceedings of the ACM Web Conference 2026 , pages=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems arXiv preprint arXiv:2503.01067 , year=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Biometrika , volume=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 33

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V

Reference 34

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 35

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems gradient descent

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Advances in neural information processing systems , volume=

Reference 38

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Advances in neural information processing systems , volume=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Nature , volume=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Proceedings of the twelfth ACM international conference on web search and data mining , pages=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Proceedings of the 31st ACM International Conference on Information & Knowledge Management , pages=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Proceedings of the Nineteenth ACM Conference on Recommender Systems , pages=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval , pages=

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems S.; Chowdhury, N.; Jaffe, O.; Aung, J.; Sherburn, D.; Mays, E.; Starace, G.; Liu, K.; Maksin, L.; Patwardhan, T.; et al

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Let the Agent Steer: Closed-Loop Ranking Optimization via Influence Exchange

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems AIDE: AI-Driven Exploration in the Space of Code

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems J.; Zhang, C.; and Slivkins, A

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment

Reference 69

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation

Reference 70

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Observation 04ccea0c-0990-48ef-b7be-ab1d9c62b942 · outbound

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Reference 71

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This paper cites an unresolved cited work.

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Reference 72

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Reference 73

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Reference 74

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This paper cites an unresolved cited work.

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Reference 75

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Observation 8c3ac5c5-20ae-4c7b-9ccb-11c416ca4140 · outbound

This paper cites an unresolved cited work.

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Reference 76

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This paper cites an unresolved cited work.

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Reference 77

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems EvoRec: Self Evolving Agentic Recommender Systems

Reference 78

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Observation d347ff43-0f2e-4cd6-84ac-902c16907f43 · outbound

This paper cites an unresolved cited work.

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Reference 79

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Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-03T11:00:13.350833Z

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Observation da9684bb-4bce-4dd2-8950-c25b8c5d2b24 · outbound

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Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-03T11:00:13.353209Z

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Observation e583443c-76a1-4c57-bbb4-5cee7aabc259 · outbound

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Reference 82

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Observation 0e8f0132-e990-4aed-b3c3-c7509f27401d · outbound

This paper cites an unresolved cited work.

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Reference 83

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Observation a07c6e69-7d7b-4694-9bdf-0851130c76ba · outbound

This paper cites an unresolved cited work.

RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Unresolved cited work

Reference 84

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Observation 4709a169-c3e4-4c46-981f-f666d0c23ccc · outbound

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Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-03T11:00:13.363436Z

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Observation 472f9158-971e-42dd-9035-b04205ca8cc5 · outbound

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Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-03T11:00:13.365897Z

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Observation 0234e4d2-110f-4060-8ab1-f3a1f240f896 · outbound

This paper cites an unresolved cited work.

RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Unresolved cited work

Reference 87

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Source-reported events for the cited work

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Observation abdda37e-fc87-45b5-9e21-371232817eb2 · outbound

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-03T11:00:13.371002Z

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Observation f6aeedf9-d81f-477b-955b-31b8ddadc35f · outbound

This paper cites an unresolved cited work.

RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Unresolved cited work

Reference 89

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Observation 4f0973d1-61be-434a-acb9-c3c07262328c · outbound

This paper cites an unresolved cited work.

RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Unresolved cited work

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-03T11:00:13.376612Z

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Observation 502b291a-4d94-4dd8-8401-cc0111c957f5 · outbound

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems R.; and Cao, Y

Reference 91

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Observation 3d7961b9-fe92-4e7b-8f89-5d4995092448 · outbound

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Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-03T11:00:13.382762Z

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Observation 64c3090a-54c2-4179-b59a-e8c8a6a3b3ec · outbound

This paper cites an unresolved cited work.

RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Unresolved cited work

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-03T11:00:13.385358Z

Source-reported events for the cited work

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Observation 9d4863ea-fb2e-439d-94fa-80502f8810b3 · outbound

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-03T11:00:13.387930Z

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Observation afa180f8-b215-449f-9e0d-9f8bef6d5f3c · outbound

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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-03T11:00:13.390265Z

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Observation 7dc4c2f5-74fa-4800-ba5b-7067e7994d55 · outbound

This paper cites an unresolved cited work.

RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Unresolved cited work

Reference 96

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Observation 2dcd4840-31ea-49e6-9a79-86dcb36424b8 · outbound

This paper cites an unresolved cited work.

RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Unresolved cited work

Reference 97

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Observation de3814c1-1686-4b8f-b66d-5742ddfa40d4 · outbound

This paper cites an unresolved cited work.

RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Unresolved cited work

Reference 98

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Observation ac752ba5-0a31-4a43-886c-bb356a589b59 · outbound

This paper cites an unresolved cited work.

RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Unresolved cited work

Reference 99

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Pith citing papers