Pith. sign in

Paper Citation Record · LEDGER

Scaling Truth: The Confidence Paradox in AI Fact-Checking

As of 23 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.

pith.paper-citation-record.v1
2509.08803 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:09:16.969634Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

66 of 66 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved59
  • parse uncertain0
  • malformed identifier5
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4725a002-4cd4-483a-b205-88c1e52850a8 · outbound

This paper cites Nature Human Behavior 8(9), 1643–1655 (2024) https://doi.org/10.1038/s41562-024-01959-9.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:14.368639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:14.368639Z digest=sha256:1dde8d178e2cc8581fe67a83b2de54a7b56e6e5eec37ae173da990b25c7518f5

Observation f93dee2d-f7ff-41e9-9297-29795a824ecc · outbound

This paper cites Journalism0(0) (2025) https://doi.org/10.1177/14648849251317150.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Journalism0(0) (2025) https://doi.org/10.1177/14648849251317150

Reference 2

Resolution
verified exact
doi, observed 2026-08-04T20:14:21.454738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-04T20:09:14.423449Z digest=sha256:38fc61e048f16bd695713fc3a835f2b01f2827f1b72f518fa69bf47452a970dc

Observation 14768655-fbf3-4216-afb3-d17cd8eb511f · outbound

This paper cites Proc Natl Acad Sci U S A121(50), 2322823121 (2024) https://doi.org/10.1073/pnas.2322823121.

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

Resolution
verified exact
doi, observed 2026-08-04T20:14:21.336199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-04T20:09:14.550197Z digest=sha256:155c757f89f0ccc7934a37e1a7ba7d8027640b2ce8cdc20ff98db36e27a597aa

Observation 1cb6b288-5e82-4145-b9c2-04017d20ffee · outbound

This paper cites Technical Report 24-93, Swiss Finance Institute (February 2024).

Scaling Truth: The Confidence Paradox in AI Fact-Checking Technical Report 24-93, Swiss Finance Institute (February 2024)

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:14.636183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:14.636183Z digest=sha256:cd225c8d835f1bc5bf1d9ba9352edb504eb173529bdbc8042ebbf5e81ce3e505

Observation 89fe2462-c2d7-4df1-9b1f-645ad302f217 · outbound

This paper cites 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.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:14.724085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:14.724085Z digest=sha256:777d99ec816210b2222530dd248b9374f15b8a91865a54c81b5abee52ae6cbbc

Observation 67b524da-4149-4e0b-9c4a-96abc47e1ca1 · outbound

This paper cites AI & Society (2025) https://doi.org/10.1007/ s00146-025-02199-9.

Scaling Truth: The Confidence Paradox in AI Fact-Checking AI & Society (2025) https://doi.org/10.1007/ s00146-025-02199-9

Reference 6

Resolution
malformed identifier
no resolver link, observed 2026-08-04T20:09:14.830902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:14.830902Z digest=sha256:eb92ee3c52271ad1422e67a54d6c01175a22e2b24ee31b8d1104e0371560d866

Observation b4b9de65-8e8e-41d1-b2d6-328529cb877e · outbound

This paper cites Language Models are Few-Shot Learners.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Language Models are Few-Shot Learners

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:14.935063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:14.935063Z digest=sha256:8110236b830c8ca083bdec64dcd2715be81d595c65368a4f739402d7da0006b8

Observation aa2014ff-8725-4b2b-871b-58640c5c354d · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:14.998811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:14.998811Z digest=sha256:d3d86aafe8ec7fe67cfd10524a650f3152e24156b276cde6fb115123d5f94c3f

Observation 14fa86f1-e1ea-425b-84bb-0ecbd3818fac · outbound

This paper cites Accessed: 2024-11-15 (2024).

Scaling Truth: The Confidence Paradox in AI Fact-Checking Accessed: 2024-11-15 (2024)

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:15.063003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:15.063003Z digest=sha256:0cff60e8bec005503f66bf6bd2b8b4d07e3342e12ad3d9b361092c85b4c8448f

Observation 37030247-5411-48f5-9ea8-9e42de38934c · outbound

This paper cites Accessed: 2024- 12-07 (2024).

Scaling Truth: The Confidence Paradox in AI Fact-Checking Accessed: 2024- 12-07 (2024)

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:15.171489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:15.171489Z digest=sha256:4bc8fb4ea8a474379121447f14bb23f140ffedea33b8b6e78014d77ef7f78cf8

Observation be445c0c-47b4-4dcc-8373-6a4a636018aa · outbound

This paper cites Accessed: 2024-11-12 (2024).

Scaling Truth: The Confidence Paradox in AI Fact-Checking Accessed: 2024-11-12 (2024)

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:15.247819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:15.247819Z digest=sha256:0e7805cf9872153f2df4131858df612f74a2cf7d0f690490110543a313db5915

Observation 27a94853-56d5-4d99-af71-2d921a7edc8b · outbound

This paper cites Nature637(8047), 778–780 (2025) https://doi.org/10.1038/ d41586-025-00068-5.

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

Resolution
malformed identifier
no resolver link, observed 2026-08-04T20:09:15.291647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:15.291647Z digest=sha256:f8354452322f1ae5f7b196e815c7bc2194808b68ecb05d11e5774efc0e370d27

Observation acea3260-658d-4052-a445-fc01b11844ea · outbound

This paper cites Scientific Reports14, 16375 (2024) https://doi.org/10.1038/s41598-024-66708-4.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Scientific Reports14, 16375 (2024) https://doi.org/10.1038/s41598-024-66708-4

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:15.349084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:15.349084Z digest=sha256:9518b43dcb1bf9386da514232d83ae2a43de336137616784571694fd478db264

Observation ccedecf5-9e82-4ffc-a0b5-39e3de2fee96 · outbound

This paper cites ACM Computing Surveys55(12), 1–38 (2023) https://doi.org/10.1145/3571730.

Scaling Truth: The Confidence Paradox in AI Fact-Checking ACM Computing Surveys55(12), 1–38 (2023) https://doi.org/10.1145/3571730

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:15.429113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:15.429113Z digest=sha256:a139e71baf27f4bf53c00547b3dbeb9bbe0bf8144e245522986b0a273a2d990d

Observation 84cd5935-6168-4d20-ba99-8e7ea34d89da · outbound

This paper cites Nature Machine Intelligence7(2), 221–231 (2025) https://doi.org/10.1038/ s42256-024-00976-7.

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

Resolution
malformed identifier
no resolver link, observed 2026-08-04T20:09:15.528246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:15.528246Z digest=sha256:249679cc77fec6bd30bf70c0754df473316d9e09e2df02ec941d97170fb8cb35

Observation 63f5e931-58e9-4d7e-b120-2aaf921ac7f1 · outbound

This paper cites Perception Gaps in Risk, Benefit, and Value Between Experts and Public Challenge Socially Accepted AI.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:15.615799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:15.615799Z digest=sha256:327887865d338e94ee41e4f3bd7fa1b5a65b1dd70cb7d6e6de2e9a47159a7572

Observation 899d8b12-0c45-4de3-b678-de93c362e612 · outbound

This paper cites Forbes (2025).

Scaling Truth: The Confidence Paradox in AI Fact-Checking Forbes (2025)

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:15.699502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:15.699502Z digest=sha256:63331d946b0dca24bfd6fe76686422060887770f7ff2682cdf798cbd449dfc0e

Observation e7c3f126-c39e-4d57-bb6b-22283994c8d6 · outbound

This paper cites LLeMpower: Understanding Disparities in the Control and Access of Large Language Models.

Scaling Truth: The Confidence Paradox in AI Fact-Checking LLeMpower: Understanding Disparities in the Control and Access of Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:15.775846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:15.775846Z digest=sha256:fd501f9bc981d4bb8a174afe9bd98b9430b79eb14366094ab71dd7695a120bfd

Observation 2e076836-322e-4468-952e-7d4f2c8c099b · outbound

This paper cites Accessed: 2025-02-15.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Accessed: 2025-02-15

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:15.819930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:15.819930Z digest=sha256:47852aa25b307e4cca83f1fe0548fd9173cd3ee25b6f24d11fc74fe090d7d2ee

Observation fadc1c07-7ba9-4d2c-8854-f8f4ec47721d · outbound

This paper cites In: Proceedings of the 30th International Conference on Intelligent User Interfaces.

Scaling Truth: The Confidence Paradox in AI Fact-Checking In: Proceedings of the 30th International Conference on Intelligent User Interfaces

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:15.849695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:15.849695Z digest=sha256:9e71796ba4874651df9f68556e979d324c4b04efd387cf8ab8467b584c89f003

Observation ba24cba5-f582-49b1-8835-98dead0912b2 · outbound

This paper cites The Woman Worked as a Babysitter: On Biases in Language Generation.

Scaling Truth: The Confidence Paradox in AI Fact-Checking The Woman Worked as a Babysitter: On Biases in Language Generation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:15.870355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:15.870355Z digest=sha256:8793d811329fef1124d1585c1857faba8d4135c830af863e68bb3a628543a6c4

Observation f199b31f-43b6-4ace-a982-e962a5e22f10 · outbound

This paper cites Accessed: 2025-04-09 (2025).

Scaling Truth: The Confidence Paradox in AI Fact-Checking Accessed: 2025-04-09 (2025)

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:15.873949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:15.873949Z digest=sha256:d5f406f1e3e00efbae551ea42144bd63446c8968dcd0844ca2393261b616d28c

Observation 85e3ff72-b456-440c-8077-298fd3ef2fd5 · outbound

This paper cites Scientific Reports14, 26133 (2024) https://doi.org/10.1038/s41598-024-76900-1.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Scientific Reports14, 26133 (2024) https://doi.org/10.1038/s41598-024-76900-1

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:15.877661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:15.877661Z digest=sha256:0aa560244294186c1013cb7dd4f1913b2fe132505df64c81ca0ed3b0103c4149

Observation 6760b160-302e-4579-a9e0-0c1667b1508d · outbound

This paper cites Proceedings of the National Academy of Sciences120(11) (2023) https://doi.org/10.1073/pnas.2208839120 2208839120.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:15.903373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:15.903373Z digest=sha256:27bd2b92311ac3eb8b446771da4dd7e1e35ca82804ee4c2c9a3738f9686539e4

Observation 7446cb7c-d73b-4640-b8b5-e2c97b1c96f1 · outbound

This paper cites Science Advances9(26), 1850 (2023) https://doi.org/10.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Science Advances9(26), 1850 (2023) https://doi.org/10

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:15.961549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:15.961549Z digest=sha256:fe67467c140e3832cf52fe40e871046466770aefe8446dbd248c34ac1611d7c6

Observation d90f58c8-fe6f-4dfd-af08-6c2ec88234ac · outbound

This paper cites Accessed: 2025-01-05 (2024).

Scaling Truth: The Confidence Paradox in AI Fact-Checking Accessed: 2025-01-05 (2024)

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.013552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.013552Z digest=sha256:dc64733a028c545ee015dcfcadeb475f97dafe4265d642b1003f58f6cdfa5d85

Observation e0c872f7-ec9a-46a4-9f86-73b0e669006a · outbound

This paper cites PsyArXiv (2023).

Scaling Truth: The Confidence Paradox in AI Fact-Checking PsyArXiv (2023)

Reference 27

Resolution
malformed identifier
doi_truncated, observed 2026-08-04T20:14:20.806359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-04T20:09:16.086624Z digest=sha256:5e428c783aa672468d7f2dfddd05bd47124f8f8bc23a841b44040d59e4cac90c

Observation aa6562a5-0d4b-40a6-8200-e446394dd72d · outbound

This paper cites Frontiers in Artificial Intelligence7(2024) https://doi.org/10.3389/frai.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Frontiers in Artificial Intelligence7(2024) https://doi.org/10.3389/frai

Reference 28

Resolution
malformed identifier
no resolver link, observed 2026-08-04T20:09:16.169837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.169837Z digest=sha256:b124aed3ae0d003624fa6e5a64502ca4f69fa29541b0945d45914698af16af27

Observation 6861b88c-3610-4746-9590-f1c52d8534ed · outbound

This paper cites Does Prompt Formatting Have Any Impact on LLM Performance?.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.223582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.223582Z digest=sha256:dd427279bbd5e3854c60fa8b7996dd9c453f0750c2cc8c6970d78297f2615473

Observation 40e3fbb2-fda4-4e6c-851f-7f0e154508c9 · outbound

This paper cites Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.302860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.302860Z digest=sha256:25b06dddbd997879347e7840b4dae3facf36c26afcea9b254776900db4fea9f3

Observation 21ed6472-26a3-4e89-8808-7837ad1154cc · outbound

This paper cites In: Ku, L.-W., Martins, A., Srikumar, V.

Scaling Truth: The Confidence Paradox in AI Fact-Checking In: Ku, L.-W., Martins, A., Srikumar, V

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.370327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.370327Z digest=sha256:5bfe4bae1ffb2919b2b3502d715b69eea411aa8b7beb0191d509d330a7960ccc

Observation 1a570d73-fc95-4b36-99ff-3179e2fb05ca · outbound

This paper cites In: Bouamor, H., Pino, J., Bali, K.

Scaling Truth: The Confidence Paradox in AI Fact-Checking In: Bouamor, H., Pino, J., Bali, K

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.388934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.388934Z digest=sha256:17f54747864113806ae868803e08a40ba0f5f8ea77d06c94b2f785935bd180f1

Observation d4946116-cdc9-44d5-bfa9-5acfbc6ddeb8 · outbound

This paper cites In: 2023 IEEE International Conference on Data Mining Workshops (ICDMW), pp.

Scaling Truth: The Confidence Paradox in AI Fact-Checking In: 2023 IEEE International Conference on Data Mining Workshops (ICDMW), pp

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.393421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.393421Z digest=sha256:bcf9c8968c773c012d745053beb23eaeec51edfed94aaa65d4bb888161634eb7

Observation bfa75f05-e291-4dbd-93dd-61c8683b2d6a · outbound

This paper cites DA WN.COM (2025).

Scaling Truth: The Confidence Paradox in AI Fact-Checking DA WN.COM (2025)

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.396765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.396765Z digest=sha256:a6794ceff2575845ba181bb38797da25c12c168d7909bd1de0384d286c0cc8d5

Observation b0feee37-bb08-4a7d-86a5-da8daf3f2374 · outbound

This paper cites In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.399687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.399687Z digest=sha256:0db0044dd58763949b3a2836489eec21e038ecae1a63f4c1e44582bf8e830a29

Observation 983749be-ae1f-4483-8a8e-5d40e4c27867 · outbound

This paper cites https://www.semrush.com/blog/ chatgpt-search-insights/.

Scaling Truth: The Confidence Paradox in AI Fact-Checking https://www.semrush.com/blog/ chatgpt-search-insights/

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.501619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.501619Z digest=sha256:78dca4642ed81c8d9e8d921310a83c9139f8d5c9adafba6c9bd2d17d07be1c94

Observation 4a74b5de-7e4a-4b38-98f6-cf04d15eef72 · outbound

This paper cites Accessed: 2024-11-03 (2024).

Scaling Truth: The Confidence Paradox in AI Fact-Checking Accessed: 2024-11-03 (2024)

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.580188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.580188Z digest=sha256:056aec1c60c2f8a847e77e72b3810725fde3497012da5c5a906e84c8dfe5b60f

Observation 85734a91-ef0d-400d-8ad9-76e910123d6a · outbound

This paper cites Journal of Personality and Social Psychology77(6), 1121–1134 (1999) https://doi.org/10.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.654986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.654986Z digest=sha256:07b6650bc3d8c430e8de1759aaf925544271520fd2358dea96a6ee32bd592dc3

Observation 53f30c8b-d87f-4842-9c1c-b683d0e9452a · outbound

This paper cites Accessed: 2024-10-02.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Accessed: 2024-10-02

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.713976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.713976Z digest=sha256:1e47269452a4b9f7a8d3081b8dde72bd4e7a61ccfecb83b373fd31dda7cee6b6

Observation ba0340f9-33c0-4bf6-8bbb-1e4982604ec6 · outbound

This paper cites Mistral 7B.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Mistral 7B

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.785308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.785308Z digest=sha256:6bb522dc89bf48835151241b0f8789f26650b337313329285e9afa38acf66f24

Observation 1c1942eb-df40-4f62-91d7-bf51e81af6bd · outbound

This paper cites Mixtral of Experts.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Mixtral of Experts

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.839046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.839046Z digest=sha256:5011c86a84d1f11fce6a3592f339ec51a4af427955edf4801c4f911b2209ef92

Observation 0bf7e39b-e6b5-4dd9-adcd-39052e8f6381 · outbound

This paper cites Accessed: 2025-02-09 (2025).

Scaling Truth: The Confidence Paradox in AI Fact-Checking Accessed: 2025-02-09 (2025)

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.886631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.886631Z digest=sha256:4fa130e5c28a832bb86fd0fad3b5b2126f105b80575f890249a99f141b508e97

Observation 7ddc5edc-4dad-413a-9f76-2faee17d1271 · outbound

This paper cites IEEE Trans.

Scaling Truth: The Confidence Paradox in AI Fact-Checking IEEE Trans

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.890625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.890625Z digest=sha256:7a98c638460dd6da5221475630c00153e641a1f29cbeadcd2aa1f3f0e9fb7241

Observation b697b355-56c8-46fc-a310-b7c5eaddbe85 · outbound

This paper cites https://doi.org/10.1109/TEC.1957.5222035.

Scaling Truth: The Confidence Paradox in AI Fact-Checking https://doi.org/10.1109/TEC.1957.5222035

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.893983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.893983Z digest=sha256:c50d0246f1e3c828c0981492fbff9230ee75d3657ff73a08020cfb64b32d1e7f

Observation 7f047c89-d920-4dfb-8929-36d56d9e9195 · outbound

This paper cites Overcoming Common Flaws in the Evaluation of Selective Classification Systems.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Overcoming Common Flaws in the Evaluation of Selective Classification Systems

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.897171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.897171Z digest=sha256:4cb7b7731330f2bb95391b5b650a80a17f917c47b93b0c12dd19a8d281e25e2a

Observation 2418c629-0792-4380-a047-235bada9e429 · outbound

This paper cites Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.900567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.900567Z digest=sha256:bbe22da9abb953fbac00c831c643366999f77e2868fbedded4a4190ff2f8a33c

Observation d8b0aad3-d0f1-49e0-834e-9dafdbf8cbf4 · outbound

This paper cites F AccT ’22, pp.

Scaling Truth: The Confidence Paradox in AI Fact-Checking F AccT ’22, pp

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.903772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.903772Z digest=sha256:dafae33de154635e97fc185b8a3380c83f661dbb1a93bfe3680204f666edf25a

Observation b26be2e4-e270-49a2-b52f-095bf28420c2 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Scaling Truth: The Confidence Paradox in AI Fact-Checking TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.906786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.906786Z digest=sha256:18cea21fcd0282b607bef0e1041d63bcc63bdc6dc3c841c179e6c9b85aed37a6

Observation 0249f30d-ad79-4fca-8717-b3c2c361f155 · outbound

This paper cites https://arxiv.org/abs/2405.04760.

Scaling Truth: The Confidence Paradox in AI Fact-Checking https://arxiv.org/abs/2405.04760

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.910456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.910456Z digest=sha256:ebf7f7038efb71ef34dc3535694b5a8a28d3281e0a4acc6f2b83b580dc05548e

Observation 22f2574d-5286-44d4-a24c-57ee868771d4 · outbound

This paper cites In: Proceedings of the Fourth ACM International Conference on AI in Finance.

Scaling Truth: The Confidence Paradox in AI Fact-Checking In: Proceedings of the Fourth ACM International Conference on AI in Finance

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.913502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.913502Z digest=sha256:01e8f2b22f9d5aebfbbdeb4e51bbc5e5464948fd6767ee1cce88881ea6535880

Observation e69d5d50-a93b-43e1-8eab-2580920878f0 · outbound

This paper cites Can We Trust LLMs? Mitigate Overconfidence Bias in LLMs through Knowledge Transfer.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Can We Trust LLMs? Mitigate Overconfidence Bias in LLMs through Knowledge Transfer

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.917320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.917320Z digest=sha256:8d02bfc16f50578fe7999e23a67d3bfa4443202c94146dd2b8c091eb1f3d45b8

Observation ee1efba3-7a77-4933-832a-7a788aca5f12 · outbound

This paper cites Harvard Data Science Review7(1) (2025).

Scaling Truth: The Confidence Paradox in AI Fact-Checking Harvard Data Science Review7(1) (2025)

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.920814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.920814Z digest=sha256:117236f90ac20f6d2935b79a7efbde1a9a8d5da6aeba606075dfb01153d99d65

Observation fdc5e92c-e2b0-4ba8-a456-3e4fab109924 · outbound

This paper cites Language Models (Mostly) Know What They Know.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Language Models (Mostly) Know What They Know

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.924757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.924757Z digest=sha256:3f23d0f9af2ea0323f4c3dc8481741eb85fb6c3916c16234d0dd7f8249b3b985

Observation 9e292bac-e7de-4545-be64-a14c4a550d32 · outbound

This paper cites Sub-Saharan Africa,.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Sub-Saharan Africa,

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.928450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.928450Z digest=sha256:027bf09b74902b7f918f911177699eca440507e17d4c278e23c12d9d33cf0e6d

Observation 029f6c62-dcfe-460b-a153-c9e7a1732ec8 · outbound

This paper cites an unresolved cited work.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Unresolved cited work

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.932938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.932938Z digest=sha256:39b5a406cffad2b028b4d99920c6c192fdad7ecbfd5697090aa57b486cfe5aa1

Observation e3eb2a6d-b137-4c6b-8902-c98735d5a774 · outbound

This paper cites an unresolved cited work.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Unresolved cited work

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.936422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.936422Z digest=sha256:20e3418dc4f00e3b2ea77a7a575d581944b8dc596a9e5e58f99f1d28f5ce615f

Observation cfc3d92a-d3b9-448d-9da4-5b32f8b5c0f6 · outbound

This paper cites an unresolved cited work.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Unresolved cited work

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.939907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.939907Z digest=sha256:305ff595927d9418fe2b6690a6d611062bd8752cd76bed80869ab317c51218f5

Observation 642fed04-6cd7-4bba-92bf-2e223827768e · outbound

This paper cites an unresolved cited work.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Unresolved cited work

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.943257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.943257Z digest=sha256:ae4166189219d3aabcfee5ccfaab70395b47003ceec0d0435f8038d90defaced

Observation 3e805131-9379-490d-a486-76ecc9fe5f07 · outbound

This paper cites an unresolved cited work.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Unresolved cited work

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.946970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.946970Z digest=sha256:ffe743cd5b9e94b959c990b606e020af8367ba8185c80b690589627ee8eece25

Observation 43f74659-4c8e-416e-87bc-325eb3372d9e · outbound

This paper cites an unresolved cited work.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Unresolved cited work

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.950594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.950594Z digest=sha256:baa0c3416a0c7695689f6baf497c3a9031df8135b3f99a699395efaa5ffa6d62

Observation f0bbbea9-94af-4016-8a32-a370ee59087b · outbound

This paper cites an unresolved cited work.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Unresolved cited work

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.953981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.953981Z digest=sha256:958068ee14d86705169316ffc37496c62905cbf8b39110f1a38e32b14ffad3f7

Observation 321c6ce2-6f81-4ee0-b9c1-4b9df604416a · outbound

This paper cites an unresolved cited work.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Unresolved cited work

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.957781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.957781Z digest=sha256:2554ec902ac1296dc0c6d5d9e33df6dc4a7cc528780e773532d04b7263ebb5e6

Observation 594336d4-5b4f-44f0-8f4a-98cef3ab5eef · outbound

This paper cites an unresolved cited work.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Unresolved cited work

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.961520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.961520Z digest=sha256:aa3e0aeaed6e4e1b952dd2bd49a300c466cb5c8449ea838e06ff8be8ad4cb21c

Observation f5a7a7c1-517f-46cd-a1e0-311cc31c7704 · outbound

This paper cites There is no credible evidence to support the claim.

Scaling Truth: The Confidence Paradox in AI Fact-Checking There is no credible evidence to support the claim

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.965096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.965096Z digest=sha256:427000dba1ae56cde1836dcb8e7971098f4a5a7610cf408446a4d75eb80562b0

Observation 84f4dff9-8dc5-4171-992b-e4e47b9e9161 · outbound

This paper cites This is True.

Scaling Truth: The Confidence Paradox in AI Fact-Checking This is True

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.969634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.969634Z digest=sha256:94a4ee173912c436724cc18ec64012c78472fb683ed907edcfe264f4b090f826

Observation 5a75f6fc-7eda-48cc-b079-bb5a9dac38f3 · outbound

This paper cites https: //doi.org/10.1145/3626772.3657914 .https://doi.org/10.1145/3626772.3657914.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:16.439973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:16.439973Z digest=sha256:3b435a1951c830ebdfb67d87660dc9597e741e4e46951f88bf5059f3a35b3e5f

Pith citing papers

No inbound Pith citation observations are available.