Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Efficient Framework for Clustered Federated Learning
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2006.04088.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:52:36.828848Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T23:30:50.933426Z
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 48daa615-e7ce-47af-b283-86c775ca4994 · inbound
AFBS:Buffer Gradient Selection in Semi-asynchronous Federated Learning cites this paper.
AFBS:Buffer Gradient Selection in Semi-asynchronous Federated Learning An Efficient Framework for Clustered Federated Learning
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:52:36.828848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51fa2adb-4376-42a6-a7af-80dae9da9cbf · inbound
DFCA: Decentralized Federated Clustering Algorithm cites this paper.
DFCA: Decentralized Federated Clustering Algorithm An Efficient Framework for Clustered Federated Learning
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:30:11.752697Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26a0b302-05cc-4fd9-8648-05e4d5b1bdce · inbound
Expectation Maximization (EM) Converges for General Agnostic Mixtures cites this paper.
Expectation Maximization (EM) Converges for General Agnostic Mixtures An Efficient Framework for Clustered Federated Learning
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:30:50.937462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.