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Paper Citation Record · LEDGER

A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.03855.

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

pith.paper-citation-record.v1
2410.03855 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:45:19.485853Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T04:20:59.087363Z

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 cd7b9706-d8fa-42c3-95a5-05aaad7fa936 · inbound

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

Fairness in Federated Learning: Fairness for Whom? A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T13:45:19.485853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:45:19.485853Z digest=sha256:a47d64ef63185097c7769a9d49687039bd2e8e844901a71d3847ce0aaf804950

Observation caccc318-fbd6-4de5-aeb5-2673b630450a · 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 A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T23:19:34.982565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:19:34.982565Z digest=sha256:1193eb7d7a50637ab28a5d003497faf323e134f6b350b934a54b499ebeead5e8

Observation 938b0d3c-3525-440d-a301-49a152d66f0e · 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 A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:20:59.093082Z

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=2026-05-11T01:46:07.853915Z digest=sha256:691d53e7083a9a5c898b6cf2a0997318c845b033e1285c6b403faf25ca02100e