Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T04:18:19.121000Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 0 inbound Pith citation observations for arXiv:2608.05602.
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 2026-08-11T04:18:19.121000Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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
84 of 84 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 39959c3d-b742-4990-9254-76b8700d1b4e · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Philosophy of Science , volume =
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Observation de2c03d3-5195-41ff-8894-f6f9c9d04888 · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Ethics , volume =
Reference 2
Source-reported events for the cited work
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Observation 226bfea6-595e-4a16-aefe-c485da39ec46 · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Engendering Rationalities , editor =
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Observation 442bbc89-e016-44f6-afd5-f72b31571e96 · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Patterns , year =
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Source-reported events for the cited work
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Observation 635d78c7-7fad-4972-b47b-fc56f43b03da · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Proceedings of the 2025 International Conference on Intelligent User Interfaces , series =
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Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Tanchuk and Rebecca M
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Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Asian Journal of Philosophy , year =
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Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Proceedings of the 28th International Conference on Intelligent User Interfaces , pages =
Reference 9
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Observation f177dceb-87ac-4ccf-b41a-d8f204d32597 · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Journal of Experimental Psychology: General , volume=
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Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Epistemology gives a future to complementarity in human-AI interactions , journal =
Reference 12
Source-reported events for the cited work
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Observation 512e8bfb-3db0-4459-81a5-3615008bc1cc · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Unresolved cited work
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Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows arXiv preprint arXiv:2601.16960 , year =
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Observation acf89604-2bef-414a-9c79-84298a9541e2 · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows and Manzey, D
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Observation ca376feb-258c-4682-94ff-67905d1e0ddc · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows and Wortman Vaughan, J
Reference 16
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Observation 808c61bf-25fb-4d2e-8bba-f2d4a0df000e · outbound
Reference 17
Source-reported events for the cited work
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Observation 59c23959-7f79-46f9-a243-8ec0d338e86e · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26) , year =
Reference 18
Source-reported events for the cited work
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Observation 969b954b-ca31-4e59-8893-b5f1aec66e8a · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems , pages =
Reference 19
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Observation 0b7e9a06-37d9-4152-af8e-cf49e13ed9cc · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Proceedings of the ACM on Human-Computer Interaction , volume =
Reference 20
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Observation 54ecbcbb-e418-4fe0-bdd2-0802935aedaf · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-Assisted Decision-Making , journal =
Reference 21
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Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Oxford Studies in Epistemology , volume=
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Observation 9dd71a64-20a1-49cc-825c-272e4581a53d · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Hypatia , volume=
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Observation 4904c09e-7858-4856-823e-633957af3283 · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Philosophical Topics , volume=
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Observation cebaa23c-3880-49ee-8822-88066503485a · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows 2007 , publisher=
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Observation ef44791d-88cf-4c9b-b0bb-3b6b84373a47 · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows 2013 , publisher=
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Observation 710cd5d4-0b41-45dc-8455-08f7e5e8154b · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Minds and Machines , year =
Reference 27
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Observation 7fae9532-167f-4125-a3a6-cfb11dc6b58b · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Owen , title =
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Observation 9f97a24a-d93e-4747-a4c6-69b743256217 · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows and Paullada, Amandalynne and Denton, Emily and Hanna, Alex , title =
Reference 29
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Observation 59d1afca-9e26-4109-b422-c1f5cf8fe592 · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research , year =
Reference 30
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Observation 28ffcda7-f8de-4cb0-9cdf-a18848ef3d5f · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Bridging the Gap Between AI and Reality: AISoLA 2024 , pages=
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Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Journal of Bioethical Inquiry , pages=
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Observation 583eb1ea-11d6-4114-84e0-7778d2a65947 · outbound
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Observation f832e74b-de6a-4207-9ca8-d675c4e5a50e · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows and Nikzad, Afshin and Salehi, Niloufar , title =
Reference 34
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Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Vera and Wortman Vaughan, Jennifer and Bansal, Gagan , title =
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Observation a8f73a50-984a-4085-8840-f79277ce75ac · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Shyam , title =
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Observation 6b79b689-1f35-406a-89d8-86177c2c9ecf · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows and Tielman, Myrthe L
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Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows 1987 , publisher=
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Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society , pages =
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Observation f0e9c88f-c051-4eac-9464-8139c478b6dc · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows IEEE Transactions on Technology and Society , volume=
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Observation f385ec11-e083-4479-8369-53c973d9a74d · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Nature Machine Intelligence , volume=
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Observation f906de5e-9827-4a2e-8c6b-e66e380f56ec · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows AI & SOCIETY , volume=
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Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems , pages=
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Observation b4346b3e-5848-4c15-b2ea-828c0ce4b9c2 · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Social Epistemology , volume =
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Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Journal of Empirical Legal Studies , volume=
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Observation b7975b72-6c3c-4f35-8a87-11f3ff287dfb · outbound
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Observation f05d06d4-35cd-4501-af79-bffefbe1da02 · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows 2008 , publisher=
Reference 49
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Observation b2194c75-b532-46ab-8b0b-f1d29b5f311e · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Annals of the New York Academy of Sciences , volume=
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Observation 70395ba1-f456-4f86-b7d0-78b9532ff66a · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society , pages =
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Observation df80775b-d690-4494-946e-b00945c1485d · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures
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Observation 40d25f13-9b7a-427b-9d29-1807fc99be4c · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Science and Engineering Ethics , volume=
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Observation c22a5779-9239-40d5-af76-385e4a1e8052 · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Social Epistemology , volume=
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Observation 3150f9f1-0fb3-4d02-8fa6-1ca2aa22be02 · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Asian Journal of Philosophy , volume=
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Observation 8a10ad9e-f24a-40b6-8ba8-ba931a02b39b · outbound
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Reference 58
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Observation 179551ce-c3e0-44eb-9cfb-24aa3ba87466 · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows A statistically consistent measure of semantic uncertainty using Language Models
Reference 60
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Reference 61
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Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows 2023 International Joint Conference on Neural Networks (IJCNN) , year=
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Observation 3da0ed98-443a-4c57-a63e-12871a20d7f8 · outbound
Reference 64
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Observation d7fad376-8d26-4451-a1b9-c32fbb87c834 · outbound
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Reference 65
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Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Explanations Can Reduce Overreliance on AI Systems During Decision-Making , year =
Reference 66
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Reference 68
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Reference 69
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Observation 922a9529-8e0a-4ec2-a9f7-709cd01bfc17 · outbound
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows and Boyd, Danah and Friedler, Sorelle A
Reference 70
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Reference 72
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Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages =
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Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows The Eleventh International Conference on Learning Representations , year=
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Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society , pages =
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Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows The Twelfth International Conference on Learning Representations , year=
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Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows Asian Journal of Philosophy , volume =
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