Paper Citation Record · LEDGER

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging

As of 7 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.04158.

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

pith.paper-citation-record.v1
2607.04158 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T21:16:48.107120Z

measured 22 of 22 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 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

22 of 22 outbound references displayed

verified exact1
verified fuzzy0
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 549b2c1c-0d09-4770-8924-1320b90ed4d9 · outbound

This paper cites Pattern Recognition151, 110424 (2024).

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging Pattern Recognition151, 110424 (2024)

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-11T21:18:17.773206Z

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 fc7c8e0a-e64f-4554-ae2c-0a293e914005 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39811da5-4cb5-4e0e-9bb9-cf2868a61b1d · outbound

This paper cites In: 2022 21st ACM/IEEE Inter- national Conference on Information Processing in Sensor Networks (IPSN), Milano, Italy, pp.

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging In: 2022 21st ACM/IEEE Inter- national Conference on Information Processing in Sensor Networks (IPSN), Milano, Italy, pp

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e11fa34d-dd9e-4418-a84c-f155a7f233d4 · outbound

This paper cites an unresolved cited work.

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1db0b17e-94d2-448e-8c56-8e067b0b3187 · outbound

This paper cites https://gdpr-info.eu/, last accessed 2026/01/25.

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging https://gdpr-info.eu/, last accessed 2026/01/25

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d562064e-3e49-43f5-b0d1-3d30a248e62d · outbound

This paper cites In: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS), pp.

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging In: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS), pp

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fb74201-be08-430d-94b5-2bf8c6c332b1 · outbound

This paper cites Federated Optimization in Heterogeneous Networks.

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging Federated Optimization in Heterogeneous Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6ace260-5c32-4473-897e-0a5d84f51335 · outbound

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

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 967d8278-409c-439c-869d-879f73b4e3fa · outbound

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

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caf943df-cd34-4b2e-9d59-aec41e2525e4 · outbound

This paper cites Future Generation Computer Systems 143, 93–104 (2023).

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging Future Generation Computer Systems 143, 93–104 (2023)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 896f7dcb-f763-43e6-a498-879b13c6b9b8 · outbound

This paper cites an unresolved cited work.

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 223ae131-b70d-4dfc-944b-fd6f5a228aa9 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), pp.

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), pp

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a46a8e7-76c7-4326-b4f1-7e455c5bb161 · outbound

This paper cites In: Advances in Neural Information Processing Systems, vol.

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging In: Advances in Neural Information Processing Systems, vol

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f13793a-0d62-47aa-810c-e3e296eaefb5 · outbound

This paper cites Scientific Data5(1), 1–9 (2018) 10 Harsh Kumar, Tarun Kumar Garg, and Vaanathi Sundaresan.

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging Scientific Data5(1), 1–9 (2018) 10 Harsh Kumar, Tarun Kumar Garg, and Vaanathi Sundaresan

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64defacd-5714-4a91-a213-8bbea641683b · outbound

This paper cites an unresolved cited work.

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 272e7839-9761-42a9-a218-583e04c3d39f · outbound

This paper cites In: III, H.D., Singh, A.

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging In: III, H.D., Singh, A

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab2e38cd-ebb9-4e79-b653-90cb42cc9c8e · outbound

This paper cites In: International Confer- ence on Learning Representations (ICLR) (2021).

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging In: International Confer- ence on Learning Representations (ICLR) (2021)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84e02d7f-ea52-4865-9a95-c1f6c5d78f28 · outbound

This paper cites In: Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A.

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging In: Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a93c669b-62d8-4e72-828e-33588d821b0d · outbound

This paper cites an unresolved cited work.

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c4a942e-46cd-495c-a96d-3e49ca97891b · outbound

This paper cites In: 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging In: 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edfbd54f-0da7-4f1c-a40e-0e359f1ed8be · outbound

This paper cites Adam: A Method for Stochastic Optimization.

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging Adam: A Method for Stochastic Optimization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49ad2982-c6b1-4de7-8949-0353d75c5b1e · outbound

This paper cites Advances in neural information processing systems32, 2019.

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging Advances in neural information processing systems32, 2019

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.