Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T20:09:16.969634Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2509.08803.
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 2026-08-04T20:09:16.969634Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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
66 of 66 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 4725a002-4cd4-483a-b205-88c1e52850a8 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Nature Human Behavior 8(9), 1643–1655 (2024) https://doi.org/10.1038/s41562-024-01959-9
Reference 1
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Observation f93dee2d-f7ff-41e9-9297-29795a824ecc · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Journalism0(0) (2025) https://doi.org/10.1177/14648849251317150
Reference 2
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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 14768655-fbf3-4216-afb3-d17cd8eb511f · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Proc Natl Acad Sci U S A121(50), 2322823121 (2024) https://doi.org/10.1073/pnas.2322823121
Reference 3
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Observation 1cb6b288-5e82-4145-b9c2-04017d20ffee · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Technical Report 24-93, Swiss Finance Institute (February 2024)
Reference 4
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Observation 89fe2462-c2d7-4df1-9b1f-645ad302f217 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Proceedings of the National Academy of Sci- ences120(30), 2305016120 (2023) https://doi.org/10.1073/pnas.2305016120 https://www.pnas.org/doi/pdf/10.1073/pnas.2305016120
Reference 5
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Observation 67b524da-4149-4e0b-9c4a-96abc47e1ca1 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking AI & Society (2025) https://doi.org/10.1007/ s00146-025-02199-9
Reference 6
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Observation b4b9de65-8e8e-41d1-b2d6-328529cb877e · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Language Models are Few-Shot Learners
Reference 7
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Observation aa2014ff-8725-4b2b-871b-58640c5c354d · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 8
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Observation 14fa86f1-e1ea-425b-84bb-0ecbd3818fac · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Accessed: 2024-11-15 (2024)
Reference 9
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Observation 37030247-5411-48f5-9ea8-9e42de38934c · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Accessed: 2024- 12-07 (2024)
Reference 10
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Observation be445c0c-47b4-4dcc-8373-6a4a636018aa · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Accessed: 2024-11-12 (2024)
Reference 11
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Observation 27a94853-56d5-4d99-af71-2d921a7edc8b · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Nature637(8047), 778–780 (2025) https://doi.org/10.1038/ d41586-025-00068-5
Reference 12
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Observation acea3260-658d-4052-a445-fc01b11844ea · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Scientific Reports14, 16375 (2024) https://doi.org/10.1038/s41598-024-66708-4
Reference 13
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Observation ccedecf5-9e82-4ffc-a0b5-39e3de2fee96 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking ACM Computing Surveys55(12), 1–38 (2023) https://doi.org/10.1145/3571730
Reference 14
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Observation 84cd5935-6168-4d20-ba99-8e7ea34d89da · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Nature Machine Intelligence7(2), 221–231 (2025) https://doi.org/10.1038/ s42256-024-00976-7
Reference 15
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Observation 63f5e931-58e9-4d7e-b120-2aaf921ac7f1 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Perception Gaps in Risk, Benefit, and Value Between Experts and Public Challenge Socially Accepted AI
Reference 16
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Observation 899d8b12-0c45-4de3-b678-de93c362e612 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Forbes (2025)
Reference 17
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Observation e7c3f126-c39e-4d57-bb6b-22283994c8d6 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking LLeMpower: Understanding Disparities in the Control and Access of Large Language Models
Reference 18
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Observation 2e076836-322e-4468-952e-7d4f2c8c099b · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Accessed: 2025-02-15
Reference 19
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Observation fadc1c07-7ba9-4d2c-8854-f8f4ec47721d · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking In: Proceedings of the 30th International Conference on Intelligent User Interfaces
Reference 20
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Observation ba24cba5-f582-49b1-8835-98dead0912b2 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking The Woman Worked as a Babysitter: On Biases in Language Generation
Reference 21
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Observation f199b31f-43b6-4ace-a982-e962a5e22f10 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Accessed: 2025-04-09 (2025)
Reference 22
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Observation 85e3ff72-b456-440c-8077-298fd3ef2fd5 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Scientific Reports14, 26133 (2024) https://doi.org/10.1038/s41598-024-76900-1
Reference 23
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Observation 6760b160-302e-4579-a9e0-0c1667b1508d · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Proceedings of the National Academy of Sciences120(11) (2023) https://doi.org/10.1073/pnas.2208839120 2208839120
Reference 24
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Observation 7446cb7c-d73b-4640-b8b5-e2c97b1c96f1 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Science Advances9(26), 1850 (2023) https://doi.org/10
Reference 25
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Observation d90f58c8-fe6f-4dfd-af08-6c2ec88234ac · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Accessed: 2025-01-05 (2024)
Reference 26
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Observation e0c872f7-ec9a-46a4-9f86-73b0e669006a · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking PsyArXiv (2023)
Reference 27
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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation aa6562a5-0d4b-40a6-8200-e446394dd72d · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Frontiers in Artificial Intelligence7(2024) https://doi.org/10.3389/frai
Reference 28
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Observation 6861b88c-3610-4746-9590-f1c52d8534ed · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Does Prompt Formatting Have Any Impact on LLM Performance?
Reference 29
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Observation 40e3fbb2-fda4-4e6c-851f-7f0e154508c9 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models
Reference 30
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Observation 21ed6472-26a3-4e89-8808-7837ad1154cc · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking In: Ku, L.-W., Martins, A., Srikumar, V
Reference 31
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Observation 1a570d73-fc95-4b36-99ff-3179e2fb05ca · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking In: Bouamor, H., Pino, J., Bali, K
Reference 32
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Observation d4946116-cdc9-44d5-bfa9-5acfbc6ddeb8 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking In: 2023 IEEE International Conference on Data Mining Workshops (ICDMW), pp
Reference 33
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Observation bfa75f05-e291-4dbd-93dd-61c8683b2d6a · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking DA WN.COM (2025)
Reference 34
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Observation b0feee37-bb08-4a7d-86a5-da8daf3f2374 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Reference 35
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Observation 983749be-ae1f-4483-8a8e-5d40e4c27867 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking https://www.semrush.com/blog/ chatgpt-search-insights/
Reference 36
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Observation 4a74b5de-7e4a-4b38-98f6-cf04d15eef72 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Accessed: 2024-11-03 (2024)
Reference 37
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Observation 85734a91-ef0d-400d-8ad9-76e910123d6a · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Journal of Personality and Social Psychology77(6), 1121–1134 (1999) https://doi.org/10
Reference 38
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Observation 53f30c8b-d87f-4842-9c1c-b683d0e9452a · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Accessed: 2024-10-02
Reference 39
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Observation ba0340f9-33c0-4bf6-8bbb-1e4982604ec6 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Mistral 7B
Reference 40
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Observation 1c1942eb-df40-4f62-91d7-bf51e81af6bd · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Mixtral of Experts
Reference 41
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Observation 0bf7e39b-e6b5-4dd9-adcd-39052e8f6381 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Accessed: 2025-02-09 (2025)
Reference 42
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Observation 7ddc5edc-4dad-413a-9f76-2faee17d1271 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking IEEE Trans
Reference 43
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Observation b697b355-56c8-46fc-a310-b7c5eaddbe85 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking https://doi.org/10.1109/TEC.1957.5222035
Reference 44
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Observation 7f047c89-d920-4dfb-8929-36d56d9e9195 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Overcoming Common Flaws in the Evaluation of Selective Classification Systems
Reference 45
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Observation 2418c629-0792-4380-a047-235bada9e429 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models
Reference 46
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Observation d8b0aad3-d0f1-49e0-834e-9dafdbf8cbf4 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking F AccT ’22, pp
Reference 47
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Observation b26be2e4-e270-49a2-b52f-095bf28420c2 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking TruthfulQA: Measuring How Models Mimic Human Falsehoods
Reference 48
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Observation 0249f30d-ad79-4fca-8717-b3c2c361f155 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking https://arxiv.org/abs/2405.04760
Reference 49
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Observation 22f2574d-5286-44d4-a24c-57ee868771d4 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking In: Proceedings of the Fourth ACM International Conference on AI in Finance
Reference 50
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Observation e69d5d50-a93b-43e1-8eab-2580920878f0 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Can We Trust LLMs? Mitigate Overconfidence Bias in LLMs through Knowledge Transfer
Reference 51
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Observation ee1efba3-7a77-4933-832a-7a788aca5f12 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Harvard Data Science Review7(1) (2025)
Reference 52
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Observation fdc5e92c-e2b0-4ba8-a456-3e4fab109924 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Language Models (Mostly) Know What They Know
Reference 53
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Observation 9e292bac-e7de-4545-be64-a14c4a550d32 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Sub-Saharan Africa,
Reference 54
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Observation 029f6c62-dcfe-460b-a153-c9e7a1732ec8 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Unresolved cited work
Reference 56
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Observation e3eb2a6d-b137-4c6b-8902-c98735d5a774 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Unresolved cited work
Reference 57
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Observation cfc3d92a-d3b9-448d-9da4-5b32f8b5c0f6 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Unresolved cited work
Reference 58
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Observation 642fed04-6cd7-4bba-92bf-2e223827768e · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Unresolved cited work
Reference 59
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Observation 3e805131-9379-490d-a486-76ecc9fe5f07 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Unresolved cited work
Reference 60
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Observation 43f74659-4c8e-416e-87bc-325eb3372d9e · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Unresolved cited work
Reference 61
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Observation f0bbbea9-94af-4016-8a32-a370ee59087b · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Unresolved cited work
Reference 62
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Observation 321c6ce2-6f81-4ee0-b9c1-4b9df604416a · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Unresolved cited work
Reference 63
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Observation 594336d4-5b4f-44f0-8f4a-98cef3ab5eef · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking Unresolved cited work
Reference 64
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Observation f5a7a7c1-517f-46cd-a1e0-311cc31c7704 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking There is no credible evidence to support the claim
Reference 65
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Observation 84f4dff9-8dc5-4171-992b-e4e47b9e9161 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking This is True
Reference 2020
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Observation 5a75f6fc-7eda-48cc-b079-bb5a9dac38f3 · outbound
Scaling Truth: The Confidence Paradox in AI Fact-Checking https: //doi.org/10.1145/3626772.3657914 .https://doi.org/10.1145/3626772.3657914
Reference 2707
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No inbound Pith citation observations are available.