Paper Citation Record · LEDGER

Correctness is not Faithfulness in RAG Attributions

As of 23 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 8 inbound Pith citation observations for arXiv:2412.18004.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.18004 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:11:44.641725Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:39:39.272190Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T02:46:29.384932Z

Reference resolution

59 of 59 outbound references displayed

verified exact0
verified fuzzy38
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External citation measurements

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Outbound references

Observation ac1abd64-d111-4065-88dd-2ee8e9e8ef38 · outbound

This paper cites Transactions of the Association for Computatio nal Linguistics 12, 775–793 (2024).

Correctness is not Faithfulness in RAG Attributions Transactions of the Association for Computatio nal Linguistics 12, 775–793 (2024)

Reference 1

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Observation 56956b1c-de29-46e5-a449-c2063fcef188 · outbound

This paper cites Faithfulness vs. Plausibility: On the (Un)Reliability of Explanations from Large Language Models.

Correctness is not Faithfulness in RAG Attributions Faithfulness vs. Plausibility: On the (Un)Reliability of Explanations from Large Language Models

Reference 2

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Observation 558c7694-5894-455a-8d1b-6d57b76cc35e · outbound

This paper cites Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI.

Correctness is not Faithfulness in RAG Attributions Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI

Reference 3

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This paper cites In: The Twelfth In- ternational Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024 (2024).

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 36c271aa-9161-48bc-94a6-2d780a51c141 · outbound

This paper cites Will you ﬁnd these shortcuts?.

Correctness is not Faithfulness in RAG Attributions Will you ﬁnd these shortcuts?

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:11:45.811517Z

Source-reported events for the cited work

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Observation 51e06ac0-cd20-42e8-a4db-7dd982065056 · outbound

This paper cites Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models.

Correctness is not Faithfulness in RAG Attributions Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models

Reference 6

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Correctness is not Faithfulness in RAG Attributions Unresolved cited work

Reference 7

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Observation 031b196d-0280-42b3-b665-b17898b9fdff · outbound

This paper cites Advances in Neural Information Processing Systems 31 (2018).

Correctness is not Faithfulness in RAG Attributions Advances in Neural Information Processing Systems 31 (2018)

Reference 8

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Observation e0ffba7b-8092-4249-a0a4-d643c82e9d52 · outbound

This paper cites PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions.

Correctness is not Faithfulness in RAG Attributions PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions

Reference 9

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This paper cites 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.

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

Reference 10

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Observation a201e295-452b-4afa-b389-adfc7978c58c · outbound

This paper cites In: Forty-ﬁrst Internatio nal Conference on Machine Learning (2024).

Correctness is not Faithfulness in RAG Attributions In: Forty-ﬁrst Internatio nal Conference on Machine Learning (2024)

Reference 11

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This paper cites In: Proceedings of the 47th Inter national ACM SIGIR Conference on Research and Development in Informatio n Retrieval, pp.

Correctness is not Faithfulness in RAG Attributions In: Proceedings of the 47th Inter national ACM SIGIR Conference on Research and Development in Informatio n Retrieval, pp

Reference 12

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This paper cites In: Proceedings of t he 33rd ACM International Conference on Information and Knowledge Man agement, pp.

Correctness is not Faithfulness in RAG Attributions In: Proceedings of t he 33rd ACM International Conference on Information and Knowledge Man agement, pp

Reference 13

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This paper cites In: Proceedings of the 1 8th Conference of the European Chapter of the Association for Computationa l Linguistics: System Demonstrations, pp.

Correctness is not Faithfulness in RAG Attributions In: Proceedings of the 1 8th Conference of the European Chapter of the Association for Computationa l Linguistics: System Demonstrations, pp

Reference 14

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Observation 94509f00-f65c-4d1c-b4c3-3ddf3091e348 · outbound

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Correctness is not Faithfulness in RAG Attributions Unresolved cited work

Reference 15

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Observation deedf361-d46e-40fb-839a-8b5717586c99 · outbound

This paper cites Robust Conversational AI with Grounded Text Generation.

Correctness is not Faithfulness in RAG Attributions Robust Conversational AI with Grounded Text Generation

Reference 16

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Observation b7aebdd0-6815-4498-af3b-38b9b23ece09 · outbound

This paper cites In: The 61s t Annual Meeting Of The Association For Computational Linguistics ( 2023).

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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This paper cites In: Proceedings of the 2023 Co nference on Empirical Methods in Natural Language Processing, pp.

Correctness is not Faithfulness in RAG Attributions In: Proceedings of the 2023 Co nference on Empirical Methods in Natural Language Processing, pp

Reference 18

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Observation f002e8c9-e867-40cb-9cb5-13e433da8ae6 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Correctness is not Faithfulness in RAG Attributions Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 19

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Correctness is not Faithfulness in RAG Attributions Unresolved cited work

Reference 20

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Observation b4bbcc69-704c-4ee3-9289-c145b6527e3f · outbound

This paper cites In: Proceedin gs of the First Workshop on Trustworthy Natural Language Processing, pp.

Correctness is not Faithfulness in RAG Attributions In: Proceedin gs of the First Workshop on Trustworthy Natural Language Processing, pp

Reference 21

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Observation d1458f41-34fd-4721-baa5-1b10af79cf83 · outbound

This paper cites 4198– 4205 (2020).

Correctness is not Faithfulness in RAG Attributions 4198– 4205 (2020)

Reference 22

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This paper cites In: Proceedings of the 2021 ACM Conference on Fairness, Acco untability, and Transparency, p.

Correctness is not Faithfulness in RAG Attributions In: Proceedings of the 2021 ACM Conference on Fairness, Acco untability, and Transparency, p

Reference 23

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Observation a8b36884-168e-4aae-977a-b626c08d49b7 · outbound

This paper cites HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution.

Correctness is not Faithfulness in RAG Attributions HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution

Reference 24

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Observation 5f0fb61b-d320-4b8d-bedd-cff87727e9a4 · outbound

This paper cites Tr ansactions of the Association for Computational Linguistics 7, 453–466 (2019).

Correctness is not Faithfulness in RAG Attributions Tr ansactions of the Association for Computational Linguistics 7, 453–466 (2019)

Reference 25

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This paper cites Measuring Faithfulness in Chain-of-Thought Reasoning.

Correctness is not Faithfulness in RAG Attributions Measuring Faithfulness in Chain-of-Thought Reasoning

Reference 26

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This paper cites In : AMIA annual symposium proceedings, vol.

Correctness is not Faithfulness in RAG Attributions In : AMIA annual symposium proceedings, vol

Reference 27

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This paper cites In: Ad- vances in Neural Information Processing Systems, vol.

Correctness is not Faithfulness in RAG Attributions In: Ad- vances in Neural Information Processing Systems, vol

Reference 28

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Correctness is not Faithfulness in RAG Attributions A Survey of Large Language Models Attribution

Reference 29

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This paper cites In: Proceedings of the 2016 Conference of t he North American Chapter of the Association for Computational Ling uistics: Hu- man Language Technologies, pp.

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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This paper cites In: Findings of the Association for Computational Linguistics: EMNLP 2023, pp.

Correctness is not Faithfulness in RAG Attributions In: Findings of the Association for Computational Linguistics: EMNLP 2023, pp

Reference 31

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Correctness is not Faithfulness in RAG Attributions Computational Linguistics pp

Reference 32

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Reference 33

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This paper cites In: Legal Knowledge and Information Systems, pp.

Correctness is not Faithfulness in RAG Attributions In: Legal Knowledge and Information Systems, pp

Reference 34

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This paper cites Teaching language models to support answers with verified quotes.

Correctness is not Faithfulness in RAG Attributions Teaching language models to support answers with verified quotes

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This paper cites ACM Computing Surveys 55(13s), 1–42 (2023).

Correctness is not Faithfulness in RAG Attributions ACM Computing Surveys 55(13s), 1–42 (2023)

Reference 37

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This paper cites 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.

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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This paper cites Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation.

Correctness is not Faithfulness in RAG Attributions Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation

Reference 40

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Correctness is not Faithfulness in RAG Attributions Computational Linguisti cs 49(4), 777–840 (2023)

Reference 41

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This paper cites In: ICML 2024 Workshop on Foundation Models in the Wild (2024).

Correctness is not Faithfulness in RAG Attributions In: ICML 2024 Workshop on Foundation Models in the Wild (2024)

Reference 42

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This paper cites 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.

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

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:11:45.262774Z

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This paper cites , Zaharia, M.: Col- BERTv2: Eﬀective and eﬃcient retrieval via lightweight lat e interaction.

Correctness is not Faithfulness in RAG Attributions , Zaharia, M.: Col- BERTv2: Eﬀective and eﬃcient retrieval via lightweight lat e interaction

Reference 44

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Correctness is not Faithfulness in RAG Attributions Wallat et al

Reference 45

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This paper cites In: Proceedings of the 2020 Conference on Fairne ss, Account- ability, and Transparency, pp.

Correctness is not Faithfulness in RAG Attributions In: Proceedings of the 2020 Conference on Fairne ss, Account- ability, and Transparency, pp

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:11:45.205932Z

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Observation 1ef9599b-356d-44f5-9f6b-29980e73488c · outbound

This paper cites Attribute First, then Generate: Locally-attributable Grounded Text Generation.

Correctness is not Faithfulness in RAG Attributions Attribute First, then Generate: Locally-attributable Grounded Text Generation

Reference 47

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This paper cites arXiv preprint arXiv:2201 .08239 (2022).

Correctness is not Faithfulness in RAG Attributions arXiv preprint arXiv:2201 .08239 (2022)

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:11:45.185530Z

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This paper cites A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models.

Correctness is not Faithfulness in RAG Attributions A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

Reference 49

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This paper cites Advances in Neural Information Processing Syst ems 36 (2024).

Correctness is not Faithfulness in RAG Attributions Advances in Neural Information Processing Syst ems 36 (2024)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:11:45.166425Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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This paper cites In: European Conference on Information Retriev al, pp.

Correctness is not Faithfulness in RAG Attributions In: European Conference on Information Retriev al, pp

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:11:45.147709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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This paper cites In: Proceedings of the 33rd ACM International Conference on Inf ormation and Knowledge Management, pp.

Correctness is not Faithfulness in RAG Attributions In: Proceedings of the 33rd ACM International Conference on Inf ormation and Knowledge Management, pp

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:11:45.129383Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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This paper cites Resolving Knowledge Conflicts in Large Language Models.

Correctness is not Faithfulness in RAG Attributions Resolving Knowledge Conflicts in Large Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T05:11:44.604868Z

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This paper cites In: Advances in Neural Information Proces sing systems, vol.

Correctness is not Faithfulness in RAG Attributions In: Advances in Neural Information Proces sing systems, vol

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:11:45.107824Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 77957376-103a-4b45-bf6c-d8b69852c056 · outbound

This paper cites according to.

Correctness is not Faithfulness in RAG Attributions according to

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:11:45.085727Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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This paper cites In: Proceedin gs of the 58th Annual Meeting of the Association for Computational Lingui stics (ACL), Association for Computational Linguistics.

Correctness is not Faithfulness in RAG Attributions In: Proceedin gs of the 58th Annual Meeting of the Association for Computational Lingui stics (ACL), Association for Computational Linguistics

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:11:45.067439Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4d502a6d-195d-4f3e-85b4-ae04510cfd3f · outbound

This paper cites arXiv preprint arXiv:2403.083 19 (2024).

Correctness is not Faithfulness in RAG Attributions arXiv preprint arXiv:2403.083 19 (2024)

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:11:45.047936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b322785e-311d-472d-8dd6-5bb8182127a2 · outbound

This paper cites an unresolved cited work.

Correctness is not Faithfulness in RAG Attributions Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:11:45.026315Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2ecee6cf-e4d5-4cd2-81ce-53dcc65eedfa · outbound

This paper cites h., Kanoulas, E.: Towards ﬁne-grained citation evaluation in generated text : A comparative analysis of faithfulness metrics.

Correctness is not Faithfulness in RAG Attributions h., Kanoulas, E.: Towards ﬁne-grained citation evaluation in generated text : A comparative analysis of faithfulness metrics

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:11:45.005568Z

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Pith citing papers

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Tracing Facts or just Copies? A critical investigation of the Competitions of Mechanisms in Large Language Models cites this paper.

Tracing Facts or just Copies? A critical investigation of the Competitions of Mechanisms in Large Language Models Correctness is not Faithfulness in RAG Attributions

Reference 16

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Observation 585dd789-c780-485b-b66a-0ad0fc0979a6 · inbound

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens cites this paper.

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens Correctness is not Faithfulness in RAG Attributions

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T17:39:39.272190Z

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Unavailable: canonical work link unavailable.

Observation 5c0009f1-8848-45ea-887d-a1a840460a0a · inbound

RSAT: Structured Attribution Makes Small Language Models Faithful Table Reasoners cites this paper.

RSAT: Structured Attribution Makes Small Language Models Faithful Table Reasoners Correctness is not Faithfulness in RAG Attributions

Reference 19

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Observation 783cbb30-4bbc-4dbb-ae19-ed695132f20c · inbound

Why Neighborhoods Matter: Traversal Context and Provenance in Agentic GraphRAG cites this paper.

Why Neighborhoods Matter: Traversal Context and Provenance in Agentic GraphRAG Correctness is not Faithfulness in RAG Attributions

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:19:43.198479Z

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Observation 809886d8-28ca-4a53-b86c-543dc99b2964 · inbound

Re-Ranking Through an Attribution Lens for Citation Quality in Legal QA cites this paper.

Re-Ranking Through an Attribution Lens for Citation Quality in Legal QA Correctness is not Faithfulness in RAG Attributions

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:46:29.386884Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9a601158-3fb8-4754-8717-f0bb6110844a · inbound

Evaluating and Guarding Citation Faithfulness in Agentic Scientific Synthesis cites this paper.

Evaluating and Guarding Citation Faithfulness in Agentic Scientific Synthesis Correctness is not Faithfulness in RAG Attributions

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T07:46:14.994753Z

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Observation 57cfe31a-022b-4d3e-a76d-3bbd808ca355 · inbound

LEDGERMIND: Provenance-Constrained Multimodal Agentic Reasoning with a Structured Evidence Ledger cites this paper.

LEDGERMIND: Provenance-Constrained Multimodal Agentic Reasoning with a Structured Evidence Ledger Correctness is not Faithfulness in RAG Attributions

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-31T09:24:20.709962Z

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Unavailable: canonical work link unavailable.

Observation 42a41f92-95be-4a75-bc17-566e0aa5930d · inbound

A Triple-Robustness Analysis of Retrieval-Augmented Generation for Multi-Hop Requirements Traceability cites this paper.

A Triple-Robustness Analysis of Retrieval-Augmented Generation for Multi-Hop Requirements Traceability Correctness is not Faithfulness in RAG Attributions

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T15:22:29.115369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.