Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:11:44.641725Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 6 inbound Pith citation observations for arXiv:2412.18004.
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 2026-08-11T05:11:44.641725Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:05:14.623677Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T02:46:29.384932Z
59 of 59 outbound references displayed
External citation measurements
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Observation ac1abd64-d111-4065-88dd-2ee8e9e8ef38 · outbound
Correctness is not Faithfulness in RAG Attributions Transactions of the Association for Computatio nal Linguistics 12, 775–793 (2024)
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Observation 558c7694-5894-455a-8d1b-6d57b76cc35e · outbound
Correctness is not Faithfulness in RAG Attributions Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI
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Observation 528191aa-504b-4ee2-b7e2-5dcb15f0fd17 · outbound
Correctness is not Faithfulness in RAG Attributions In: The Twelfth In- ternational Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024 (2024)
Reference 4
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Observation 02f865b4-788a-4650-86fb-e796a8366489 · outbound
Correctness is not Faithfulness in RAG Attributions In: Pro- ceedings of the 47th International ACM SIGIR Conference on R esearch and Development in Information Retrieval, SIGIR 2024, Washing ton DC, USA, July 14-18, 2024, pp
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Observation d4ad9505-5de9-4f4c-a85e-8bf2aeab2e13 · outbound
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Observation b7aebdd0-6815-4498-af3b-38b9b23ece09 · outbound
Correctness is not Faithfulness in RAG Attributions In: The 61s t Annual Meeting Of The Association For Computational Linguistics ( 2023)
Reference 17
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Correctness is not Faithfulness in RAG Attributions Retrieval-Augmented Generation for Large Language Models: A Survey
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Observation 52aa495a-6b98-4f9a-9d69-6631236844f2 · outbound
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Observation d1458f41-34fd-4721-baa5-1b10af79cf83 · outbound
Correctness is not Faithfulness in RAG Attributions 4198– 4205 (2020)
Reference 22
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Observation a8b36884-168e-4aae-977a-b626c08d49b7 · outbound
Correctness is not Faithfulness in RAG Attributions HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution
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Observation 5f0fb61b-d320-4b8d-bedd-cff87727e9a4 · outbound
Correctness is not Faithfulness in RAG Attributions Tr ansactions of the Association for Computational Linguistics 7, 453–466 (2019)
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Correctness is not Faithfulness in RAG Attributions Measuring Faithfulness in Chain-of-Thought Reasoning
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Observation 524f5955-bfdd-4b9d-b102-5c452d1cf3fa · outbound
Correctness is not Faithfulness in RAG Attributions In : AMIA annual symposium proceedings, vol
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Observation e1ce4656-bb96-4bb7-a8d6-bf7dba58a29a · outbound
Correctness is not Faithfulness in RAG Attributions In: Ad- vances in Neural Information Processing Systems, vol
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Observation 8edff978-6521-4f66-9222-8aec2ee10951 · outbound
Correctness is not Faithfulness in RAG Attributions A Survey of Large Language Models Attribution
Reference 29
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Observation a554a20e-92f0-4d87-af43-b649ee578ddf · outbound
Correctness is not Faithfulness in RAG Attributions In: Proceedings of the 2016 Conference of t he North American Chapter of the Association for Computational Ling uistics: Hu- man Language Technologies, pp
Reference 30
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Correctness is not Faithfulness in RAG Attributions Computational Linguistics pp
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Observation 8895e5d1-54b5-4363-92db-71a9c750069f · outbound
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Reference 33
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Correctness is not Faithfulness in RAG Attributions In: Legal Knowledge and Information Systems, pp
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Reference 35
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Reference 36
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Observation 0550e0f5-21bd-4e8b-88f1-542ebfe0d1fe · outbound
Correctness is not Faithfulness in RAG Attributions ACM Computing Surveys 55(13s), 1–42 (2023)
Reference 37
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Observation 46d2beb3-6243-4500-81f0-2565d889ab39 · outbound
Correctness is not Faithfulness in RAG Attributions In: Proceedings of the 61st Annual Meet- ing of the Association for Computational Linguistics (Volu me 1: Long Pa- pers), ACL 2023, Toronto, Canada, July 9-14, 2023, pp
Reference 38
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Reference 39
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Reference 40
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Observation 7d56a87c-0363-4e08-a191-52b0b1a30e46 · outbound
Correctness is not Faithfulness in RAG Attributions Computational Linguisti cs 49(4), 777–840 (2023)
Reference 41
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Correctness is not Faithfulness in RAG Attributions In: ICML 2024 Workshop on Foundation Models in the Wild (2024)
Reference 42
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Correctness is not Faithfulness in RAG Attributions In: Pro- ceedings of the 2024 Conference of the North American Chapte r of the Association for Computational Linguistics: Human Languag e Technologies (Volume 1: Long Papers), pp
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Reference 44
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Correctness is not Faithfulness in RAG Attributions In: Proceedings of the 2020 Conference on Fairne ss, Account- ability, and Transparency, pp
Reference 46
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Reference 47
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Reference 48
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Correctness is not Faithfulness in RAG Attributions A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models
Reference 49
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Correctness is not Faithfulness in RAG Attributions Advances in Neural Information Processing Syst ems 36 (2024)
Reference 50
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Correctness is not Faithfulness in RAG Attributions In: European Conference on Information Retriev al, pp
Reference 51
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Reference 52
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Reference 53
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Correctness is not Faithfulness in RAG Attributions In: Advances in Neural Information Proces sing systems, vol
Reference 54
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Reference 56
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Reference 57
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Reference 58
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