Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.03562.
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 2026-08-07T13:45:18.504382Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T08:36:27.088606Z
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 7503403b-8c36-450d-94b2-df78a59d1ca6 · inbound
Fairness in Federated Learning: Fairness for Whom? cites this paper.
Fairness in Federated Learning: Fairness for Whom? GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:45:18.504382Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46c33e16-30a7-4fd8-924b-814c1b44f7c9 · inbound
Towards Group Fairness with Multiple Sensitive Attributes in Federated Foundation Models cites this paper.
Towards Group Fairness with Multiple Sensitive Attributes in Federated Foundation Models GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:19:34.512767Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 789b5028-763c-4754-b176-ccb3aeecfc92 · inbound
Robust Server Defense Against Unreliable Clients in One-Shot Fair Collaborative Machine Learning cites this paper.
Robust Server Defense Against Unreliable Clients in One-Shot Fair Collaborative Machine Learning GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:36:27.091473Z
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.