Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T14:56:37.063881Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 100 of 116 outbound references and 0 inbound Pith citation observations for arXiv:2607.18609.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T14:56:37.063881Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 116 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 6c774919-26b5-42e5-a56e-f4463d996959 · outbound
Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Empirical Methods in Natural Language Processing (Demonstrations) , pages=
Reference 1
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Observation 1915dcb4-797a-4a6f-be70-f417a43a1bb8 · outbound
Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Advances in Neural Information Processing Systems , volume=
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation IEEE Transactions on Information Theory , volume=
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Advances in Neural Information Processing Systems , volume=
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Semi-Supervised Classification with Graph Convolutional Networks
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation ACM Transactions on Information Systems , volume=
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Towards Topic-Guided Conversational Recommender System
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation International Conference on Knowledge Discovery and Data Mining , pages=
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Observation 014d8c55-8d66-447c-984f-a63d41aa7838 · outbound
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Conference on Research and Development in Information Retrieval , pages=
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Conference on Research and Development in Information Retrieval , pages=
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Conference on Information and Knowledge Management , pages=
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation International Conference on Knowledge Discovery and Data Mining , pages=
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Advances in Neural Information Processing Systems , volume=
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation International Conference on Knowledge Discovery and Data Mining , pages=
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation International Conference on Knowledge Discovery and Data Mining , pages=
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Conference on Research and Development in Information Retrieval , pages=
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Conference on Research and Development in Information Retrieval , pages=
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Conference on Research and Development in Information Retrieval , pages=
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Web Search and Data Mining , pages=
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation International Conference on Knowledge Discovery and Data Mining , pages=
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Web Search and Data Mining , pages=
Reference 31
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Unresolved cited work
Reference 32
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Unresolved cited work
Reference 34
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Findings of the Association for Computational Linguistics , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Web Search and Data Mining , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation International Conference on Knowledge Discovery and Data Mining , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Conference on Research
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Leveraging Historical Interaction Data for Improving Conversational Recommender System , booktitle =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation The Web Conference , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Empirical Methods in Natural Language Processing , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Advances in Neural Information Processing Systems , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Towards Topic-Guided Conversational Recommender System , booktitle =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Conference on Research and Development in Information Retrieval , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Association for Computational Linguistics , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Web Search and Data Mining , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Conference on Research and Development in Information Retrieval , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Unresolved cited work
Reference 48
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Association for the Advancement of Artificial Intelligence , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Conference on Research and Development in Information Retrieval , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Unresolved cited work
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Gomez and Lukasz Kaiser and Illia Polosukhin , title =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation CoRR , volume =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation ACM Transactions on Information Systems , year =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation ACM on Human-Computer Interaction , volume =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Shapiro and Mustafa Bilgic , title =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Auditing radicalization pathways on YouTube , booktitle =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Conference on User Modeling, Adaptation, and Personalization , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Association for the Advancement of Artificial Intelligence , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Association for the Advancement of Artificial Intelligence , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Association for the Advancement of Artificial Intelligence , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Alleviating the Long-Tail Problem in Conversational Recommender Systems , booktitle =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Epure and Romain Hennequin , title =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Conversational Agents for Mental Health and Well-being: Discovering Design Recommendations Using Text Mining , booktitle =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Conference on Research and Development in Information Retrieval , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Association for the Advancement of Artificial Intelligence , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation The Web Conference , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation The Web Conference , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Conference on Research and Development in Information Retrieval , pages =
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Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation Conference on Research and Development in Information Retrieval , pages =
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