Paper Citation Record · LEDGER

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI

As of 8 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2505.22108.

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

pith.paper-citation-record.v1
2505.22108 v4

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:22:10.041647Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

34 of 34 outbound references displayed

verified exact2
verified fuzzy22
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4a726dbe-1e96-4d0e-95f5-f553794aeec9 · outbound

This paper cites https://artificialintelligenceact.eu/, [Accessed 11-01-2025].

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI https://artificialintelligenceact.eu/, [Accessed 11-01-2025]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:15.532245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 95badb9a-e12a-4c40-a69c-15ebcb0e1118 · outbound

This paper cites Scientiﬁc reports 12(1), 1953 (2022).

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI Scientiﬁc reports 12(1), 1953 (2022)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:15.212861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fecd9c45-ed35-4f26-b02a-edb9038d764f · outbound

This paper cites Differential Privacy Has Disparate Impact on Model Accuracy.

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI Differential Privacy Has Disparate Impact on Model Accuracy

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:22:10.916346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ec6799b1-1a85-4aeb-b500-b5973d3953a2 · outbound

This paper cites Flower: A Friendly Federated Learning Research Framework.

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI Flower: A Friendly Federated Learning Research Framework

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:22:06.992609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fffe1ad-af28-4126-9ea0-89a50bbfab52 · outbound

This paper cites Genes 15(12), 1650 (2024).

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI Genes 15(12), 1650 (2024)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:14.921324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4b9c37f5-b2e7-4f2f-b69f-f4ff68b13954 · outbound

This paper cites Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment.

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:22:07.178471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 790516ca-7503-4e2f-917e-02d39c8d6a79 · outbound

This paper cites an unresolved cited work.

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:22:14.730023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 53ffe0bd-4bf0-41d7-b701-814c573ce3bf · outbound

This paper cites an unresolved cited work.

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:22:14.537913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2018c5f4-cbe3-4387-b0ad-efd658ba9013 · outbound

This paper cites Foundations and Trends® in Theoretical Computer Science 9(3–4), 211–407 (2014).

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI Foundations and Trends® in Theoretical Computer Science 9(3–4), 211–407 (2014)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:14.343928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c0981535-930f-44d9-ba91-b843a5b7c753 · outbound

This paper cites IEEE access 10, 22359–22380 (2022).

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI IEEE access 10, 22359–22380 (2022)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:14.179615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e9f2d1d7-de68-4f33-bcc9-8666b2e8fe0f · outbound

This paper cites https://doi.org/10.5281/zenodo.3828935, https://github.com/Lightning-AI/lightning.

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI https://doi.org/10.5281/zenodo.3828935, https://github.com/Lightning-AI/lightning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:22:07.704206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b7a12c2-4eaa-4814-bd9e-16ed0f4478ec · outbound

This paper cites 5 , Security and Pri- vacy Controls for Information Systems and Organizations — c src.nist.gov.

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI 5 , Security and Pri- vacy Controls for Information Systems and Organizations — c src.nist.gov

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:13.932434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 771d3e1a-4238-44ef-8ca3-0e36bfce1643 · outbound

This paper cites https://gdpr.eu/tag/gdpr/, [Accessed 11-01-2025].

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI https://gdpr.eu/tag/gdpr/, [Accessed 11-01-2025]

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:13.646804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 35df491d-7cc5-45d4-9aa8-0f50bd82d0f2 · outbound

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

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI In: Proceedings of the IEEE conference on computer vision and pa ttern recognition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:13.406088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 45e2b909-0d47-4d38-bb3a-41d49ee18a8f · outbound

This paper cites https://www.hhs.gov/hipaa/for-professionals/privacy/index.html, [Accessed 11-01-2025].

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI https://www.hhs.gov/hipaa/for-professionals/privacy/index.html, [Accessed 11-01-2025]

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:13.251785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1136c402-60ce-49cd-9ee3-091aa8a05d1b · outbound

This paper cites https://hl7.org/fhir/overview.html, [Accessed 11-01-2025].

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI https://hl7.org/fhir/overview.html, [Accessed 11-01-2025]

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:13.086496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 85aa0458-f2db-4fcf-9cde-c81db0012141 · outbound

This paper cites https://www.iso.org/standard/63553.html, [Accessed 11-01-2025].

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI https://www.iso.org/standard/63553.html, [Accessed 11-01-2025]

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:12.960737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a5b0a14a-0f87-4633-b881-c8005bb1b78b · outbound

This paper cites In: Trustworthy AI in Medical Imaging, pp.

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI In: Trustworthy AI in Medical Imaging, pp

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:12.786691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 92658784-81b6-46b9-8861-23802dc954a0 · outbound

This paper cites From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare.

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:22:08.512177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bd89af4-2f4e-4914-a071-620cd0c81f61 · outbound

This paper cites Proceedings of Ma chine learning and sys- tems 2, 429–450 (2020).

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI Proceedings of Ma chine learning and sys- tems 2, 429–450 (2020)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:12.592421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9711b3bd-2ceb-489d-abdc-c6814a4659a1 · outbound

This paper cites Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation.

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:22:08.735921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c03bdf34-9e8f-4df4-838c-d3c81930e49d · outbound

This paper cites In: Artiﬁcial intelligence and statistics.

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI In: Artiﬁcial intelligence and statistics

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:12.402019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8f1e4213-a659-4e50-b97c-0e4dd06b30f0 · outbound

This paper cites DuetSGX: Differential Privacy with Secure Hardware.

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI DuetSGX: Differential Privacy with Secure Hardware

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T13:22:10.551163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5d7e4bd3-dab1-4a71-a222-4b2d46973177 · outbound

This paper cites https://www.nist.gov/cyberframework, [Accessed 11-01-2025].

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI https://www.nist.gov/cyberframework, [Accessed 11-01-2025]

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:12.243261Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a1943389-00db-48b6-a3f4-525c3e94f47b · outbound

This paper cites Nature communicat ions 13(1), 7346 (2022).

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI Nature communicat ions 13(1), 7346 (2022)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:12.091202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 764712a9-5171-435c-9b05-0c201d2bf29d · outbound

This paper cites , Wang, J.J., Lakshmi- narayanan, A., Wang, S.h., Sheller, M.J., et al.: Privacy pr eservation for federated learning in health care.

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI , Wang, J.J., Lakshmi- narayanan, A., Wang, S.h., Sheller, M.J., et al.: Privacy pr eservation for federated learning in health care

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:11.963450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d7563c4d-6088-4fdb-9340-4ec9c43cf31d · outbound

This paper cites In: International Conference on Learning Representations (2021), https://openreview.net/forum?id=LkFG3lB13U5.

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI In: International Conference on Learning Representations (2021), https://openreview.net/forum?id=LkFG3lB13U5

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:11.829168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 955e8d34-306a-4c62-b32c-98559c71079e · outbound

This paper cites Belt and Braces: When Federated Learning Meets Differential Privacy.

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI Belt and Braces: When Federated Learning Meets Differential Privacy

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:22:10.370977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 05942645-4ace-4ae8-a9c0-0f7dea348668 · outbound

This paper cites Med ical Image Analysis 95, 103206 (2024).

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI Med ical Image Analysis 95, 103206 (2024)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:11.711999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 98c0614d-4f44-4085-b9dd-c334f0189900 · outbound

This paper cites Scientiﬁc reports 10(1), 12598 (2020).

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI Scientiﬁc reports 10(1), 12598 (2020)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:11.591790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 05de220f-2aed-4992-be24-d97fe34bb6e6 · outbound

This paper cites In: Procee dings of the 14th ACM Conference on Recommender Systems.

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI In: Procee dings of the 14th ACM Conference on Recommender Systems

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:11.365316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dc72edce-3607-4c68-acee-50e92613dc62 · outbound

This paper cites an unresolved cited work.

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:22:11.235675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2e497767-de9f-466e-83db-0f08dd8896a9 · outbound

This paper cites Scientiﬁc Data 10(1), 41 (2023).

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI Scientiﬁc Data 10(1), 41 (2023)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:11.104433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b8d97bf0-9dd6-4afa-aa7d-3390d31f67f1 · outbound

This paper cites Opacus: User-Friendly Differential Privacy Library in PyTorch.

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI Opacus: User-Friendly Differential Privacy Library in PyTorch

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:22:10.041647Z

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Unavailable: canonical work link unavailable.

Pith citing papers

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