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Paper Citation Record · LEDGER

Human-AI Co-design for Clinical Prediction Models

As of 9 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 3 inbound Pith citation observations for arXiv:2601.09072.

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

pith.paper-citation-record.v1
2601.09072 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:46:28.250421Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:16:34.504748Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T23:36:36.145503Z

Reference resolution

70 of 70 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved69
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7593d66-4613-40d4-a884-aaa6efe9f27a · outbound

This paper cites JAMA 334(23), 2090–2103 (2025).

Human-AI Co-design for Clinical Prediction Models JAMA 334(23), 2090–2103 (2025)

Reference 1

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Observation cf12164b-687a-4e5c-93a8-6611984c1bec · outbound

This paper cites The Lancet 374(9696), 1160–1170 (2009).

Human-AI Co-design for Clinical Prediction Models The Lancet 374(9696), 1160–1170 (2009)

Reference 2

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Observation e478576c-ebea-46ff-b9bf-13b769ff3bd5 · outbound

This paper cites a practical scale.

Human-AI Co-design for Clinical Prediction Models a practical scale

Reference 3

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Observation 79e1b736-e8ca-4834-8d51-f296361392f9 · outbound

This paper cites a review and suggested modifications of methodological standards.

Human-AI Co-design for Clinical Prediction Models a review and suggested modifications of methodological standards

Reference 4

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Observation 38911739-515c-4603-bb7d-1c178e1b9500 · outbound

This paper cites Nature Machine Intelligence1(5), 206–215 (2019).

Human-AI Co-design for Clinical Prediction Models Nature Machine Intelligence1(5), 206–215 (2019)

Reference 5

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Observation eb212bfd-3657-4f81-8bd2-6ec5d4c71649 · outbound

This paper cites Concept Bottleneck Models.

Human-AI Co-design for Clinical Prediction Models Concept Bottleneck Models

Reference 6

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Observation 1737170a-d636-4bb2-b1fa-27a85d7d195d · outbound

This paper cites an unresolved cited work.

Human-AI Co-design for Clinical Prediction Models Unresolved cited work

Reference 7

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Observation c9dfa045-4638-491b-9f88-429e3f1beeab · outbound

This paper cites Chest149(3), 631–638 (2016).

Human-AI Co-design for Clinical Prediction Models Chest149(3), 631–638 (2016)

Reference 8

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Observation 7ccb02c7-09be-4807-97e5-135209cd0a47 · outbound

This paper cites In: StatPearls.

Human-AI Co-design for Clinical Prediction Models In: StatPearls

Reference 9

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Observation 8f03d4b6-aa68-4ded-9727-8e34cc361ab5 · outbound

This paper cites In: StatPearls.

Human-AI Co-design for Clinical Prediction Models In: StatPearls

Reference 10

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Observation 04c0a7c3-f79a-44d6-946c-0514ae214080 · outbound

This paper cites BMJ353, 2416 (2016).

Human-AI Co-design for Clinical Prediction Models BMJ353, 2416 (2016)

Reference 11

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Observation b82ac282-2968-4abb-b657-5fde93f92944 · outbound

This paper cites BMJ369, 1328 (2020).

Human-AI Co-design for Clinical Prediction Models BMJ369, 1328 (2020)

Reference 12

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Observation a5b30dae-a9d1-4240-aaa1-c2c84096f714 · outbound

This paper cites JAMA Netw.

Human-AI Co-design for Clinical Prediction Models JAMA Netw

Reference 13

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Observation ae950524-036d-465d-9654-d5d5e8276463 · outbound

This paper cites an unresolved cited work.

Human-AI Co-design for Clinical Prediction Models Unresolved cited work

Reference 14

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Observation 0c81a2c2-c438-4c57-a708-ac1e518d4479 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Human-AI Co-design for Clinical Prediction Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 15

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Observation c34307c5-c1eb-417b-9ea1-2638d912a18b · outbound

This paper cites NPJ Digit.

Human-AI Co-design for Clinical Prediction Models NPJ Digit

Reference 16

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Observation 27decaae-f235-42a8-8ca7-73f33ae0eb9a · outbound

This paper cites World Neurosurg.134, 311–322 (2020).

Human-AI Co-design for Clinical Prediction Models World Neurosurg.134, 311–322 (2020)

Reference 17

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Observation cd7ad5b6-3efd-4b9c-a406-c08516a202b6 · outbound

This paper cites Nature (2023).

Human-AI Co-design for Clinical Prediction Models Nature (2023)

Reference 18

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Observation 68a01f1f-bdcf-463c-8bb3-4f6427a16bda · outbound

This paper cites an unresolved cited work.

Human-AI Co-design for Clinical Prediction Models Unresolved cited work

Reference 19

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Observation 2e26a147-b739-48b3-bf82-174397b8f750 · outbound

This paper cites an unresolved cited work.

Human-AI Co-design for Clinical Prediction Models Unresolved cited work

Reference 20

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Observation 71570a90-ad8d-4fab-9c6a-127af6032c53 · outbound

This paper cites Empirical Methods in Natural Language Processing, 1998–2022 (2022).

Human-AI Co-design for Clinical Prediction Models Empirical Methods in Natural Language Processing, 1998–2022 (2022)

Reference 21

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Observation b11ef695-7411-4dbd-b0d1-3c926a0cc0e7 · outbound

This paper cites NPJ Digit.

Human-AI Co-design for Clinical Prediction Models NPJ Digit

Reference 22

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Observation a162ed2c-c675-41e1-abe4-a42845a9e404 · outbound

This paper cites npj Digital Medicine7(1), 1–14 (2024).

Human-AI Co-design for Clinical Prediction Models npj Digital Medicine7(1), 1–14 (2024)

Reference 23

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Observation 70391274-f53f-49e3-8421-a8a45e8b142a · outbound

This paper cites International Conference on Learning Representations (2023) [cs.LG].

Human-AI Co-design for Clinical Prediction Models International Conference on Learning Representations (2023) [cs.LG]

Reference 24

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Observation 30158f71-484e-45fa-87ae-7ed829affd4b · outbound

This paper cites In: The 2023 Conference on Empirical Methods in Natural Language Processing (2023).

Human-AI Co-design for Clinical Prediction Models In: The 2023 Conference on Empirical Methods in Natural Language Processing (2023)

Reference 25

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Observation 5d0a48a0-b632-4104-9f88-16f74e9259a9 · outbound

This paper cites Advances in Neural Information Processing Systems37, 124137–124162 (2025).

Human-AI Co-design for Clinical Prediction Models Advances in Neural Information Processing Systems37, 124137–124162 (2025)

Reference 26

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Observation e699f082-64fb-4038-b79c-fd4bcbc94150 · outbound

This paper cites In: European Conference on Computer Vision, pp.

Human-AI Co-design for Clinical Prediction Models In: European Conference on Computer Vision, pp

Reference 27

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Observation 06de0e18-2a67-43bd-9f49-e6a26dd33a8c · outbound

This paper cites In: The Thirty-ninth Annual Conference on Neural Information Processing Systems (2025).

Human-AI Co-design for Clinical Prediction Models In: The Thirty-ninth Annual Conference on Neural Information Processing Systems (2025)

Reference 28

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Observation 515709fd-0438-4714-8366-ee2c31df5d56 · outbound

This paper cites Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck.

Human-AI Co-design for Clinical Prediction Models Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck

Reference 29

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Observation df511756-490e-4b74-8418-97436f77dbac · outbound

This paper cites In: Proceedings of the CHI Conference on Human Factors in Computing Systems, vol.

Human-AI Co-design for Clinical Prediction Models In: Proceedings of the CHI Conference on Human Factors in Computing Systems, vol

Reference 30

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Observation 2da97797-3a42-4eea-924a-9a74f4062db3 · outbound

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Human-AI Co-design for Clinical Prediction Models Unresolved cited work

Reference 31

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Observation 7e425c5d-729b-4149-bbc8-a66d07adeae1 · outbound

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Human-AI Co-design for Clinical Prediction Models Unresolved cited work

Reference 32

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Observation 48019573-937a-4b8e-9ff4-bbe7994aa0ab · outbound

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Human-AI Co-design for Clinical Prediction Models Unresolved cited work

Reference 33

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Observation 9a8a890b-abbd-4d79-b551-d1594cd43058 · outbound

This paper cites Pediatric radiology32(4), 228–231 (2002).

Human-AI Co-design for Clinical Prediction Models Pediatric radiology32(4), 228–231 (2002)

Reference 34

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Observation ad00564a-7962-4568-8eb6-0096853ffb50 · outbound

This paper cites New England journal of medicine357(22), 2277–2284 (2007).

Human-AI Co-design for Clinical Prediction Models New England journal of medicine357(22), 2277–2284 (2007)

Reference 35

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Observation 2e57203f-2a75-4624-a3af-f50973fc225f · outbound

This paper cites Annals of emergency medicine64(2), 145–152 (2014).

Human-AI Co-design for Clinical Prediction Models Annals of emergency medicine64(2), 145–152 (2014)

Reference 36

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Human-AI Co-design for Clinical Prediction Models The Lancet Child & Adolescent Health8(5), 339–347 (2024)

Reference 37

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Observation a77e018b-a015-4d88-aaac-48159eab4a54 · outbound

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Human-AI Co-design for Clinical Prediction Models Unresolved cited work

Reference 38

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Observation 6e9de2fb-8bec-4110-902e-da7d20225679 · outbound

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Human-AI Co-design for Clinical Prediction Models Unresolved cited work

Reference 39

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Observation 5890e56c-db7d-4544-a176-08a0f0bddbb3 · outbound

This paper cites Anesthesiology104(1), 65–72 (2006).

Human-AI Co-design for Clinical Prediction Models Anesthesiology104(1), 65–72 (2006)

Reference 40

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Observation f900b0d5-3678-484b-bff2-a7d81c259d99 · outbound

This paper cites Journal of the American Society of Nephrology16(1), 162–168 (2005).

Human-AI Co-design for Clinical Prediction Models Journal of the American Society of Nephrology16(1), 162–168 (2005)

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Observation 7cc217bc-2a8a-4042-acb2-e95cfbfcb304 · outbound

This paper cites Circulation95(4), 878–884 (1997).

Human-AI Co-design for Clinical Prediction Models Circulation95(4), 878–884 (1997)

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Observation ec46cd07-2639-4b2f-a31a-170c786d6599 · outbound

This paper cites Jr: Development and validation of an acute kidney injury risk index for patients undergoing general surgery: results from a national data set: Results from a national data set.

Human-AI Co-design for Clinical Prediction Models Jr: Development and validation of an acute kidney injury risk index for patients undergoing general surgery: results from a national data set: Results from a national data set

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Observation 55d99063-4103-4373-a417-8fe354512307 · outbound

This paper cites KDIGO clinical practice guideline for acute kidney injury.

Human-AI Co-design for Clinical Prediction Models KDIGO clinical practice guideline for acute kidney injury

Reference 44

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Observation 5af37eca-404f-4536-85c4-94ec4089ced1 · outbound

This paper cites Lancet Digit Health2(9), 489–492 (2020).

Human-AI Co-design for Clinical Prediction Models Lancet Digit Health2(9), 489–492 (2020)

Reference 45

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Observation b5965eb2-dd8b-409e-b58a-8c4f81af5771 · outbound

This paper cites an unresolved cited work.

Human-AI Co-design for Clinical Prediction Models Unresolved cited work

Reference 46

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Observation c25fdb24-aa03-407c-b03c-78585f725e94 · outbound

This paper cites In: The Thirteenth International Conference on Learning Representations (2025).

Human-AI Co-design for Clinical Prediction Models In: The Thirteenth International Conference on Learning Representations (2025)

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Observation 97154ece-114e-4c13-bbc4-d486d1b8c25d · outbound

This paper cites Nature625(7995), 468–475 (2024).

Human-AI Co-design for Clinical Prediction Models Nature625(7995), 468–475 (2024)

Reference 48

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Observation 7b2d10ce-bf15-4518-a102-b63e562e23b2 · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

Human-AI Co-design for Clinical Prediction Models AlphaEvolve: A coding agent for scientific and algorithmic discovery

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Observation a9a9660f-b018-4f8f-af7a-42297880cf45 · outbound

This paper cites Explaining Patterns in Data with Language Models via Interpretable Autoprompting.

Human-AI Co-design for Clinical Prediction Models Explaining Patterns in Data with Language Models via Interpretable Autoprompting

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Observation a0e1b1f6-ef15-4500-a4bb-7ac785ce6e0f · outbound

This paper cites Simon and Schuster, ??? (2021).

Human-AI Co-design for Clinical Prediction Models Simon and Schuster, ??? (2021)

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Observation 4affe17b-1af0-44d2-8fa8-062b8fa6e3d3 · outbound

This paper cites Artificial Intelligence Review56(4), 3005–3054 (2023).

Human-AI Co-design for Clinical Prediction Models Artificial Intelligence Review56(4), 3005–3054 (2023)

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Observation de3eee5f-127c-4248-812f-ed45ad46b587 · outbound

This paper cites Learning Interpretable Concept-Based Models with Human Feedback.

Human-AI Co-design for Clinical Prediction Models Learning Interpretable Concept-Based Models with Human Feedback

Reference 53

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Observation 405d1284-68fd-40bb-80f3-83ca447eb158 · outbound

This paper cites NPJ digital medicine8(1), 629 (2025).

Human-AI Co-design for Clinical Prediction Models NPJ digital medicine8(1), 629 (2025)

Reference 54

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Observation 28d8e24f-f062-4a35-a167-144b7b18d636 · outbound

This paper cites In: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, pp.

Human-AI Co-design for Clinical Prediction Models In: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, pp

Reference 55

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Observation 2ef5fcc9-f2e8-4dfb-b0c9-adbad818725a · outbound

This paper cites In: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, pp.

Human-AI Co-design for Clinical Prediction Models In: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, pp

Reference 56

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Observation 808a4f29-c082-40e9-9a3d-2a3d04c3c1ca · outbound

This paper cites In: Forty-second International Conference on Machine Learning.

Human-AI Co-design for Clinical Prediction Models In: Forty-second International Conference on Machine Learning

Reference 57

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Observation 1dafa793-2c3d-4d3a-bd55-7baf1eff2365 · outbound

This paper cites In: Proceedings of the Aaai Conference on Artificial Intelligence, vol.

Human-AI Co-design for Clinical Prediction Models In: Proceedings of the Aaai Conference on Artificial Intelligence, vol

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Observation ef23d41a-b832-4554-8f9a-5c5e5e5f971f · outbound

This paper cites Machine Learning102(3), 349–391 (2016).

Human-AI Co-design for Clinical Prediction Models Machine Learning102(3), 349–391 (2016)

Reference 59

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Observation 6a125b56-8fe5-4e10-99e3-857c4414ffc1 · outbound

This paper cites In: International Conference on Machine Learning, pp.

Human-AI Co-design for Clinical Prediction Models In: International Conference on Machine Learning, pp

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Observation 2dfd361b-8a85-434b-b247-5c60b15afde9 · outbound

This paper cites ACT: Agentic Classification Tree.

Human-AI Co-design for Clinical Prediction Models ACT: Agentic Classification Tree

Reference 61

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Observation d777748a-8037-4a7e-aaf8-50a49df62a54 · outbound

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

Human-AI Co-design for Clinical Prediction Models In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp

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Observation 76d447b9-d15c-45ef-bc77-b7536e4a50eb · outbound

This paper cites Tree-Based Leakage Inspection and Control in Concept Bottleneck Models.

Human-AI Co-design for Clinical Prediction Models Tree-Based Leakage Inspection and Control in Concept Bottleneck Models

Reference 63

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Observation 12e8cdb6-2d66-4798-90fe-565d30f93dc8 · outbound

This paper cites Journal of Open Source Software6(61), 3192 (2021) https://doi.org/10.21105/ joss.03192.

Human-AI Co-design for Clinical Prediction Models Journal of Open Source Software6(61), 3192 (2021) https://doi.org/10.21105/ joss.03192

Reference 64

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Observation 73466485-6eb6-4438-b60e-a3189e74d554 · outbound

This paper cites Scientific reports15(1), 6179 (2025).

Human-AI Co-design for Clinical Prediction Models Scientific reports15(1), 6179 (2025)

Reference 65

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Observation 9fcc4980-aa0a-4d36-863d-02d5923fa751 · outbound

This paper cites In: Mechanistic Interpretability Workshop at NeurIPS 2025.

Human-AI Co-design for Clinical Prediction Models In: Mechanistic Interpretability Workshop at NeurIPS 2025

Reference 66

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Observation 799b2057-865b-4968-8ea0-5510a0430287 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp.

Human-AI Co-design for Clinical Prediction Models In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp

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Observation 79483bb9-4bc9-43cc-97d3-9483fa9e898d · outbound

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Human-AI Co-design for Clinical Prediction Models Unresolved cited work

Reference 68

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Observation c2e91d05-c54c-45c9-9c78-2b71d636f0cb · outbound

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Human-AI Co-design for Clinical Prediction Models Unresolved cited work

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Observation 68a68314-8bbc-4c3d-9ed8-5a1b6fb27263 · outbound

This paper cites protective factor.

Human-AI Co-design for Clinical Prediction Models protective factor

Reference 70

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Pith citing papers

Observation fa9ec5ca-e73e-46ad-875d-65ca80c7fe0b · inbound

Selecting Feature Interactions for Generalized Additive Models by Distilling Foundation Models cites this paper.

Selecting Feature Interactions for Generalized Additive Models by Distilling Foundation Models Human-AI Co-design for Clinical Prediction Models

Reference 8

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Observation f8c59342-a1dd-43d0-b0d8-1ab82e8de86c · inbound

Agentic-imodels: Evolving agentic interpretability tools via autoresearch cites this paper.

Agentic-imodels: Evolving agentic interpretability tools via autoresearch Human-AI Co-design for Clinical Prediction Models

Reference 82

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Observation be28649a-bf12-4ed5-9070-c6665c5ec4b6 · inbound

Data-Efficient Adaptation of LLMs via Attention Head Reweighting cites this paper.

Data-Efficient Adaptation of LLMs via Attention Head Reweighting Human-AI Co-design for Clinical Prediction Models

Reference 2021

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