Paper Citation Record · LEDGER

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2506.09593.

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

pith.paper-citation-record.v1
2506.09593 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:50:01.364404Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T08:18:52.451691Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:23:15.331375Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy36
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c84e4169-c693-4e6e-b074-4f85620a4ec9 · outbound

This paper cites Nature Machine Intelligence 1(1), 20–23 (2019).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Nature Machine Intelligence 1(1), 20–23 (2019)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.750854Z

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Observation 79101662-e49c-45f3-9cf5-34ce49f8dda1 · outbound

This paper cites NPJ Digital Medicine4(1) (2021).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks NPJ Digital Medicine4(1) (2021)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.741504Z

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Observation 55072431-fb52-4913-bd90-dd784a82ebba · outbound

This paper cites IEEE Transactions on Intelligent Vehicles7(4), 849–862 (2022).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks IEEE Transactions on Intelligent Vehicles7(4), 849–862 (2022)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.732458Z

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Observation b3280be6-1f6c-4b8b-ac63-32584b8a8b78 · outbound

This paper cites Neurocomputing576(2024).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Neurocomputing576(2024)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.723179Z

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Observation 7cda0145-a85f-4252-b39d-fea1de7bae0c · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence29(2015).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Proceedings of the AAAI Conference on Artificial Intelligence29(2015)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.714212Z

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Observation 6d609d31-20e0-4d60-8719-15a9f5d663a0 · outbound

This paper cites International conference on machine learning, 1321–1330 (2017).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks International conference on machine learning, 1321–1330 (2017)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.704950Z

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Observation b9687fe3-63fa-4e09-9c58-016db8a97171 · outbound

This paper cites Advances in Neural Information Processing Systems32(2019).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Advances in Neural Information Processing Systems32(2019)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.695980Z

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Observation 68d90f45-895f-49ae-9145-c50611016523 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 15262–15271 (2021).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 15262–15271 (2021)

Reference 8

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Observation 71ac4901-3eca-4f19-a7cc-d576de0371d8 · outbound

This paper cites Advances in Neural Information Processing Systems30(2017).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Advances in Neural Information Processing Systems30(2017)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.677213Z

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Observation 70fa8f2e-b013-47b8-bf0d-b177b864db30 · outbound

This paper cites Advances in Neural Information Processing Systems34, 20063–20075 (2021) 20.

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Advances in Neural Information Processing Systems34, 20063–20075 (2021) 20

Reference 10

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Observation f315080a-0f3e-43bf-8263-f6b5aaafbf5b · outbound

This paper cites Advances in Neural Information Processing Systems, 13991–14002 (2019).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Advances in Neural Information Processing Systems, 13991–14002 (2019)

Reference 11

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Observation c7b5e98a-8f51-4dd6-9ead-0f46bab4e9dc · outbound

This paper cites International Conference on Learning Representations (2019).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks International Conference on Learning Representations (2019)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.648870Z

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Observation f1d1c795-06da-4a8c-a97b-527f7ca9882b · outbound

This paper cites International conference on machine learning, 11117–11128 (2020).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks International conference on machine learning, 11117–11128 (2020)

Reference 13

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Observation 38ca6aa6-9dc3-410b-baf9-8ab3bbd0c5c6 · outbound

This paper cites International Conference on Learning Representations (2021).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks International Conference on Learning Representations (2021)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.629589Z

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Observation b68ca40c-af8e-41ab-876f-b823c0a9c88a · outbound

This paper cites European Conference on Computer Vision, 555–569 (2022).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks European Conference on Computer Vision, 555–569 (2022)

Reference 15

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Observation f508c570-0f11-4b55-847b-369e5f3a2fb9 · outbound

This paper cites Advances in Neural Information Processing Systems34, 15682–15694 (2021).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Advances in Neural Information Processing Systems34, 15682–15694 (2021)

Reference 16

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Observation 927e5701-8235-4a39-a0bb-bd096d0b6202 · outbound

This paper cites Conference on Computer Vision and Pattern Recognition, 11966–11976 (2022).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Conference on Computer Vision and Pattern Recognition, 11966–11976 (2022)

Reference 17

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Observation 797c48da-66ca-4e77-aa2c-d8872ec5dcb2 · outbound

This paper cites International Conference on Learning Representations (2022).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks International Conference on Learning Representations (2022)

Reference 18

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Observation 3e513633-4f4d-4df9-b14a-5f1067e3ec7f · outbound

This paper cites Conference on Computer Vision and Pattern Recognition, 19358–19369 (2022).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Conference on Computer Vision and Pattern Recognition, 19358–19369 (2022)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.582240Z

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Observation dae6bf72-ae8f-433a-97c4-5e88227c0ffe · outbound

This paper cites International Conference on Computer Vision, 9620–9629 (2021).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks International Conference on Computer Vision, 9620–9629 (2021)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.572476Z

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Observation 04e131ca-7763-492d-a82b-9506209530e3 · outbound

This paper cites International Conference on Computer Vision, 9630–9640 (2021).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks International Conference on Computer Vision, 9630–9640 (2021)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.563756Z

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Observation 02d93032-4f2c-4125-92a9-a3610f048146 · outbound

This paper cites Self-Supervised Learning with Swin Transformers.

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Self-Supervised Learning with Swin Transformers

Reference 22

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Observation 78b20dc6-f3bb-4b05-95e8-568e05e4574b · outbound

This paper cites Advances in Neural Information Processing Systems33, 18613–18624 (2020).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Advances in Neural Information Processing Systems33, 18613–18624 (2020)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.554727Z

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Observation 52189019-c361-42b7-a72d-fa28aac38616 · outbound

This paper cites International Conference on Computer Vision, 6022–6031 (2019).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks International Conference on Computer Vision, 6022–6031 (2019)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.546013Z

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Observation 74d12d60-7da4-488c-8ac6-efc04e97c546 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence34(07), 13001–13008 (2020).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Proceedings of the AAAI Conference on Artificial Intelligence34(07), 13001–13008 (2020)

Reference 25

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Observation 0c67ef41-b49a-41a9-9334-4fec11d56965 · outbound

This paper cites International Conference on Computer Vision, 32–42 (2021).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks International Conference on Computer Vision, 32–42 (2021)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.527789Z

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Observation 4005a6cc-f578-473f-b8f1-8c165cf0fc11 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision, 10012–10022 (2021).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Proceedings of the IEEE/CVF International Conference on Computer Vision, 10012–10022 (2021)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.516966Z

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Observation 71029c2e-5653-4401-8763-740499bbe972 · outbound

This paper cites International Conference on Learning Representations (2021).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks International Conference on Learning Representations (2021)

Reference 28

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Observation 84edb195-cb59-4044-909d-94e36e343b78 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition, 770–778 (2016).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Proceedings of the IEEE conference on computer vision and pattern recognition, 770–778 (2016)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.497993Z

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Observation c2118a5d-39cc-4bbc-b549-665e08ae87a0 · outbound

This paper cites Conference on Computer Vision and Pattern Recognition, 248–255 (2009).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Conference on Computer Vision and Pattern Recognition, 248–255 (2009)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.489262Z

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Observation b81dc377-c267-4aff-bf0d-66aea63bd91a · outbound

This paper cites 5389–5400 (2019).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks 5389–5400 (2019)

Reference 31

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Observation a3cf186b-e826-4438-aa2e-ccc7db42b348 · outbound

This paper cites Data in brief (2020).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Data in brief (2020)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.470685Z

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Observation 718c0247-39da-45f4-8ea5-cea4d9b31ddd · outbound

This paper cites Scientific data5(1), 1–9 (2018).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Scientific data5(1), 1–9 (2018)

Reference 33

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Observation aa84516c-1444-4eec-9f1a-04f9feff4e63 · outbound

This paper cites cell172(5), 1122–1131 (2018).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks cell172(5), 1122–1131 (2018)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.451096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7230db68-6fa5-43cc-8070-15d7cd2aa6d3 · outbound

This paper cites Scientific Data10(1) (2023).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Scientific Data10(1) (2023)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.441324Z

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Observation 12569197-4182-4139-b222-92a3b21369d5 · outbound

This paper cites International Conference on Learning Representations (2022).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks International Conference on Learning Representations (2022)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.431591Z

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Observation cf9e0457-e387-407e-a6f2-48b15222b193 · outbound

This paper cites MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions.

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions

Reference 37

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Observation b3e5b731-594d-4f54-b1a3-5fe4dfbc70be · outbound

This paper cites Journal of Applied Meteorology and Climatology12(4), 595–600 (1973).

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks Journal of Applied Meteorology and Climatology12(4), 595–600 (1973)

Reference 38

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Observation 866baa69-d593-40bb-8859-1ef2ff514ccb · outbound

This paper cites International Conference on Artificial Intelligence and Statistics, 3466–3474 (2024) 23 Supplementary Material Appendix A: Further Experimental Results A1.

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks International Conference on Artificial Intelligence and Statistics, 3466–3474 (2024) 23 Supplementary Material Appendix A: Further Experimental Results A1

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:01.415524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation a34f24eb-341c-43f0-8317-27c3af52d2c2 · inbound

CalArena: A Large-Scale Post-Hoc Calibration Benchmark cites this paper.

CalArena: A Large-Scale Post-Hoc Calibration Benchmark Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.