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Paper Citation Record · LEDGER

PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2205.11584.

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

pith.paper-citation-record.v1
2205.11584 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:45:19.025872Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T23:07:14.175950Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a4d276cc-1c9e-4aff-bd6c-f21c009189b5 · inbound

RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility cites this paper.

RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-22T23:07:14.178783Z

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.

source=pdf_text observed=2026-05-22T23:06:39.764310Z digest=sha256:2bf4c1b5570021536849614b14686131606e4cb035073fcc1a84ea7751f19302

Observation 79e31d50-fb8e-4696-ad18-76ac7dc087ca · inbound

Fairness in Federated Learning: Fairness for Whom? cites this paper.

Fairness in Federated Learning: Fairness for Whom? PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T13:45:19.025872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:45:19.025872Z digest=sha256:54ab63a30d3c6c78fdc2b3a9ffff45088f603e7dc56cc98d591453f94bd92190

Observation c2f74810-d5ae-4104-b27b-006906409617 · inbound

The Fair Game: Auditing & Debiasing AI Algorithms Over Time cites this paper.

The Fair Game: Auditing & Debiasing AI Algorithms Over Time PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-05T22:45:20.733534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:45:20.733534Z digest=sha256:3582336ec9370e1b96201d16232f8c34faf7353e1c5ddc56657e5fef42bb7700

Observation 43b1158b-bc5b-4a96-a0fd-5ad40a2e65ed · inbound

Co-designing for Compliance: Multi-party Computation Protocols for Post-Market Fairness Monitoring in Algorithmic Hiring cites this paper.

Co-designing for Compliance: Multi-party Computation Protocols for Post-Market Fairness Monitoring in Algorithmic Hiring PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-09T02:29:20.718409Z

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.

source=pdf_text observed=2026-05-16T08:23:42.105294Z digest=sha256:f02d3fa8d8ca944d20468938caa8e2e9a147e6db0ec8a904d948dc8343b08d9e