Paper Citation Record · LEDGER

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks

As of 21 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2506.19464.

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

pith.paper-citation-record.v1
2506.19464 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:12:24.531047Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

32 of 32 outbound references displayed

verified exact0
verified fuzzy20
unresolved10
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 40c53203-2d42-4bcd-8ab3-a13cbf94813a · outbound

This paper cites https://www.qure.ai/, accessed: 2024-03-02.

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks https://www.qure.ai/, accessed: 2024-03-02

Reference 1

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Source-reported events for the cited work

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Observation e8cc80d3-9dfa-4552-9127-5859e68f44d3 · outbound

This paper cites https://www.skinvision.com/, accessed: 2024-03-02.

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks https://www.skinvision.com/, accessed: 2024-03-02

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:28.143893Z

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Observation 78a8bd2c-4eca-4d21-9cc3-7b570b8a4d1e · outbound

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

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:28.054186Z

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Observation d9abd1eb-09d7-4288-8d4c-e99e85f44bae · outbound

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

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 4

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Observation 05c98321-9e4e-4256-88f9-cfe54f56a7b9 · outbound

This paper cites Medical Image Analysis83, 102676 (2023).

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks Medical Image Analysis83, 102676 (2023)

Reference 5

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Observation 8e35171b-22fa-45fc-8118-f7267a8e6239 · outbound

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

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:27.559062Z

Source-reported events for the cited work

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Observation e7e69878-8e5b-4004-9477-660ff58872a3 · outbound

This paper cites In: Dual Student Networks for Data-Free Model Stealing.

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: Dual Student Networks for Data-Free Model Stealing

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:27.412888Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ba4069fc-94ed-4a65-bf13-b752dd796895 · outbound

This paper cites Applied Sciences11(2), 672 (2021).

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks Applied Sciences11(2), 672 (2021)

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 918dbaa3-2786-4dd5-add3-7fa497d9cee5 · outbound

This paper cites In: International Con- ference on Learning Representations (2020).

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: International Con- ference on Learning Representations (2020)

Reference 9

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Source-reported events for the cited work

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Observation 10ffdc93-4dd6-49d6-94fb-a9533e0e41d2 · outbound

This paper cites COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics.

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 13799aa0-3778-4709-889c-1fc0293d7aa6 · outbound

This paper cites In: International Conference on Machine Learning.

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: International Conference on Machine Learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:27.169497Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation edad3005-9738-49f7-b513-4f518e1de28d · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks Explaining and Harnessing Adversarial Examples

Reference 12

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Source-reported events for the cited work

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Observation 52d84269-d8f1-4843-a6f7-b1adff4e865f · outbound

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Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks Unresolved cited work

Reference 13

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Source-reported events for the cited work

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Observation 719cd581-4ab2-40d8-8bbd-48b4832be725 · outbound

This paper cites In: NIPS Deep Learning and Representation Learning Workshop (2015).

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: NIPS Deep Learning and Representation Learning Workshop (2015)

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d916578-2bd3-40f3-9544-c9deb83046a2 · outbound

This paper cites In: 29th USENIX security symposium (USENIX Security 20).

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: 29th USENIX security symposium (USENIX Security 20)

Reference 15

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Source-reported events for the cited work

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Observation c37d5d2b-15ef-4f66-881a-fa27cb617b46 · outbound

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

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 16

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 91e3f2e4-3f84-4052-a692-d563d29d7348 · outbound

This paper cites In: 2020 IEEE Security and Privacy Workshops (SPW).

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: 2020 IEEE Security and Privacy Workshops (SPW)

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d87e0b03-7141-4c1e-bdcc-2e75886075bf · outbound

This paper cites In: International Confer- ence on Machine Learning.

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: International Confer- ence on Machine Learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:26.602242Z

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Observation e9d96da1-14c5-4381-8785-fe4dfcffc336 · outbound

This paper cites In: International Conference on Learning Represen- tations (2020).

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: International Conference on Learning Represen- tations (2020)

Reference 19

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Observation e8e14a34-a095-4b25-8188-181f6f026caa · outbound

This paper cites In: Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security.

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:26.439958Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0c33518c-c7b1-48a6-9f99-338a5e104e2b · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:26.317857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e1ab7b7e-1659-436a-977c-9898b30003a8 · outbound

This paper cites In: International Conference on Learning Representa- tions (2019).

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: International Conference on Learning Representa- tions (2019)

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c8e02002-a616-4d6c-b67f-0a5cecc7fcd7 · outbound

This paper cites In: Proceed- ings of the AAAI Conference on Artificial Intelligence.

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: Proceed- ings of the AAAI Conference on Artificial Intelligence

Reference 23

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a6ffd07d-c37e-4479-8247-a65e728eb129 · outbound

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

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:25.748154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c7f4a2cb-99fa-4639-8812-73625c3cadd7 · outbound

This paper cites International journal of computer vision115, 211–252 (2015).

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks International journal of computer vision115, 211–252 (2015)

Reference 25

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Observation d46435f1-96b7-43cd-82d9-7f48ccb7554d · outbound

This paper cites Advances in neural information processing systems33, 596–608 (2020).

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks Advances in neural information processing systems33, 596–608 (2020)

Reference 26

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This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 27

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Source-reported events for the cited work

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Observation c2e055cb-7bae-46d2-a2a5-774d174ef133 · outbound

This paper cites Advances in neural information processing systems30(2017).

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks Advances in neural information processing systems30(2017)

Reference 28

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Source-reported events for the cited work

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Observation 95b42281-6498-4bd1-a110-c6fbf60d3611 · outbound

This paper cites In: International conference on machine learning.

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: International conference on machine learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:24.181077Z

Source-reported events for the cited work

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Observation 940895cf-db05-4136-bcca-475afe52d5dd · outbound

This paper cites In: European Conference on Computer Vision.

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks In: European Conference on Computer Vision

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:25.483076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b69548c9-3be2-4cc9-934e-1435a2cb7cba · outbound

This paper cites Medical Image Analysis69, 101977 (2021).

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks Medical Image Analysis69, 101977 (2021)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:25.276804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 65f29449-ac8b-41c6-bf3e-058e4d205c60 · outbound

This paper cites an unresolved cited work.

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks Unresolved cited work

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.