Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T11:20:09.244925Z
Paper Citation Record · LEDGER
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning
As of 22 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2607.10491.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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
Reference resolution
57 of 57 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved57
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fb5505be-2bbd-4cd1-8f89-d89108f46193 · outbound
This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks , booktitle =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks , booktitle =
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d011df1-ceb4-4214-acf0-824d956a929c · outbound
This paper cites Proceedings of the 37th International Conference on Machine Learning , series =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Proceedings of the 37th International Conference on Machine Learning , series =
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c61dbdae-8067-4aae-bfca-879730f9519c · outbound
This paper cites Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics , pages =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics , pages =
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4091b58b-513e-412e-bdee-a9b2eab246f0 · outbound
This paper cites an unresolved cited work.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Unresolved cited work
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a14ebfdb-d89e-4d75-99db-2d86512eb964 · outbound
This paper cites Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing , pages =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing , pages =
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9f1fd19-ae63-41ac-82d3-303ae889735c · outbound
This paper cites Foundations and Trends in Information Retrieval , volume =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Foundations and Trends in Information Retrieval , volume =
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa360eb8-0b47-4571-af63-0d65b05fad1b · outbound
This paper cites Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing , pages =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing , pages =
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da70d744-3c5a-4597-bff9-fef51bf86ea7 · outbound
This paper cites Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e4ad323-80f5-4dae-89e9-2a0051eac8cb · outbound
This paper cites Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics , pages =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics , pages =
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7cb5f2e-aaad-4680-8329-1108e03a2392 · outbound
This paper cites Passage Re-ranking with BERT.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Passage Re-ranking with BERT
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6eb9462-1436-4b5c-b126-380fcc74aa50 · outbound
This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Retrieval-Augmented Generation for Large Language Models: A Survey
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 640ce256-d74f-4a66-9c05-6e43fb5a19e1 · outbound
This paper cites The Twelfth International Conference on Learning Representations , year =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning The Twelfth International Conference on Learning Representations , year =
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f729f62-1353-4d0e-91e0-b16290f1ed8f · outbound
This paper cites Corrective Retrieval Augmented Generation.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Corrective Retrieval Augmented Generation
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a17cdbb3-b928-464a-aaf1-c367b2f1d998 · outbound
This paper cites CRAG -- Comprehensive RAG Benchmark.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning CRAG -- Comprehensive RAG Benchmark
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 854ff38e-08c8-403a-ab67-563f72f90c62 · outbound
This paper cites Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 618d4e98-e00e-4ddf-8264-5dd5bbba71b4 · outbound
This paper cites Advances in Neural Information Processing Systems , year =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Advances in Neural Information Processing Systems , year =
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f482dca4-f79d-48b6-b20e-e6689febdf9b · outbound
This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a5c770f-9615-4de8-8d46-4d0feadde37f · outbound
This paper cites Transactions of the Association for Computational Linguistics , volume =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Transactions of the Association for Computational Linguistics , volume =
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4120f6b-406f-4dc7-8371-7c74d48451ad · outbound
This paper cites and Salakhutdinov, Ruslan and Manning, Christopher D.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning and Salakhutdinov, Ruslan and Manning, Christopher D
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a4195147-fe4e-4984-a1a3-ad415459c03a · outbound
This paper cites and Uszkoreit, Jakob and Le, Quoc and Petrov, Slav , title =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning and Uszkoreit, Jakob and Le, Quoc and Petrov, Slav , title =
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75c4e5e9-7ed5-45f6-a41c-03eec7380fbb · outbound
This paper cites Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing , pages =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing , pages =
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5580e5b-4707-4649-ae4a-a0e2bb8127b7 · outbound
This paper cites Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics , pages =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics , pages =
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1616b70a-1da4-4782-b084-fa03734433d2 · outbound
This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29ba8272-1f7c-4a78-8d4d-246fee37d232 · outbound
This paper cites an unresolved cited work.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Unresolved cited work
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d083f965-594b-4649-bd7b-cf2d0e124081 · outbound
This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages =
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52234bd0-f47b-4f96-aeca-b974c45830bc · outbound
This paper cites Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics , pages =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics , pages =
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 397f03fb-8662-4b57-8478-1c8e2169c7b2 · outbound
This paper cites ACM Computing Surveys , volume =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning ACM Computing Surveys , volume =
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da3f48ba-b0e2-4809-b972-991ee229cb40 · outbound
This paper cites Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages =
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fec07ce-0ceb-42b9-9f23-877756d2f664 · outbound
This paper cites , title =.
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation abbafd75-f27d-4ad7-8a12-3ef2ad6777b9 · outbound
This paper cites , title =.
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2593d26e-3485-438d-b974-4f66aafc745a · outbound
This paper cites and Nowozin, Sebastian and Dillon, Joshua V.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning and Nowozin, Sebastian and Dillon, Joshua V
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b658be29-6513-4266-b34f-e63dd6f2d412 · outbound
This paper cites Advances in Neural Information Processing Systems , volume =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Advances in Neural Information Processing Systems , volume =
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7f73a2e-b848-4995-8e1b-15ec7fdde6c9 · outbound
This paper cites Advances in Neural Information Processing Systems , volume =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Advances in Neural Information Processing Systems , volume =
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a829436-a1e1-4403-931b-817efaa56008 · outbound
This paper cites Proceedings of the 33rd International Conference on Machine Learning , pages =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Proceedings of the 33rd International Conference on Machine Learning , pages =
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0b49747-ccd3-411c-9deb-c26b38a85c77 · outbound
This paper cites Advances in Neural Information Processing Systems , volume =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Advances in Neural Information Processing Systems , volume =
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6b17e08-c6a4-44b2-bdad-fa68d3960710 · outbound
This paper cites Subjective Logic: A Formalism for Reasoning Under Uncertainty , publisher =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Subjective Logic: A Formalism for Reasoning Under Uncertainty , publisher =
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 938c6cf0-24c6-437f-978c-bfb9b3c6d77b · outbound
This paper cites , title =.
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44ef74e8-0f49-4acf-88e0-eb0b253e08ed · outbound
This paper cites 1976 , url =.
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b66b0e0-a78c-46b0-ac59-58a894b23bab · outbound
This paper cites , title =.
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c40220e-21ef-4857-80d7-f410d9936e77 · outbound
This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , volume =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning IEEE Transactions on Pattern Analysis and Machine Intelligence , volume =
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e8f596a-962f-4154-8be9-00e138f2ccd0 · outbound
This paper cites and Kaiser, Lukasz and Polosukhin, Illia , title =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning and Kaiser, Lukasz and Polosukhin, Illia , title =
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8993771-d6b7-4cad-86b1-a5a917dc6e8f · outbound
This paper cites Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics , pages =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics , pages =
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 908a5e92-1f12-41db-b19c-d2e1ec04ee19 · outbound
This paper cites an unresolved cited work.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Unresolved cited work
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8963e4d-fbf5-4156-b557-6fb2b70f33d6 · outbound
This paper cites 2023 , doi =.
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c0f09e4-c034-44ae-a4df-a0f7862e77c7 · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models , journal =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning LLaMA: Open and Efficient Foundation Language Models , journal =
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cbf185ec-38d7-41a3-b373-bc1415a2084f · outbound
This paper cites The Llama 3 Herd of Models.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning The Llama 3 Herd of Models
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation deb4a5ae-5873-4960-ae6a-648357c78281 · outbound
This paper cites an unresolved cited work.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Unresolved cited work
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc5888c0-7a7c-4298-a09c-52e2b9369440 · outbound
This paper cites and Zhang, Hao and Stoica, Ion , title =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning and Zhang, Hao and Stoica, Ion , title =
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98933681-217d-482b-bb25-3ecae645b6d0 · outbound
This paper cites , title =.
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64f8fe8f-d7b5-4128-b1c7-d7b9637c5efa · outbound
This paper cites and Artzi, Yoav , title =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning and Artzi, Yoav , title =
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 695bab4e-93ee-48c4-9c1b-19ed28835bd3 · outbound
This paper cites Text Summarization Branches Out , pages =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Text Summarization Branches Out , pages =
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24d286b6-95af-4b07-ac0c-45f26632b251 · outbound
This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages =
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34c552ed-42f2-4266-9d3d-fed8e263ee01 · outbound
This paper cites The Twelfth International Conference on Learning Representations , year =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning The Twelfth International Conference on Learning Representations , year =
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c28ca4f1-adf5-47d3-9e47-a9bdb07dc419 · outbound
This paper cites RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec22a2d2-b48c-4541-be97-6767c170d3c9 · outbound
This paper cites Educational and Psychological Measurement , volume =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Educational and Psychological Measurement , volume =
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3842e10-ca16-4328-a1c6-a2ace42ae3bd · outbound
This paper cites The Annals of Statistics , volume =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning The Annals of Statistics , volume =
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2e40cb1-2160-432f-ab55-4b53dda48293 · outbound
This paper cites Findings of the Association for Computational Linguistics: ACL 2024 , pages =.
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning Findings of the Association for Computational Linguistics: ACL 2024 , pages =
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:20:09.244925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.