Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Training Fair Models in Federated Learning without Data Privacy Infringement
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2109.05662.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:16:20.206039Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T15:34:57.764154Z
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 3521b0fb-3342-499e-9d65-50a16e329599 · inbound
A Survey on Foundation Models for Personalized Federated Intelligence cites this paper.
A Survey on Foundation Models for Personalized Federated Intelligence Training Fair Models in Federated Learning without Data Privacy Infringement
Reference 205
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T15:34:57.766839Z
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 aa0dfbce-3a79-470f-9172-5c9a5959975a · inbound
Fairness in Federated Learning: Trends, Challenges, and Opportunities cites this paper.
Fairness in Federated Learning: Trends, Challenges, and Opportunities Training Fair Models in Federated Learning without Data Privacy Infringement
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:16:20.206039Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79285b19-d2d2-4f9f-8526-a0c0520b5ed8 · inbound
Toward Individual Fairness Without Centralized Data: Selective Counterfactual Consistency for Vertical Federated Learning cites this paper.
Toward Individual Fairness Without Centralized Data: Selective Counterfactual Consistency for Vertical Federated Learning Training Fair Models in Federated Learning without Data Privacy Infringement
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:20:59.082143Z
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.