Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FedExP: Speeding Up Federated Averaging via Extrapolation
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2301.09604.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:57:20.357303Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T19:03:21.886288Z
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 7e3be966-06b1-49f7-9546-9ddf38bf1776 · inbound
Tighter Performance Theory of FedExProx cites this paper.
Tighter Performance Theory of FedExProx FedExP: Speeding Up Federated Averaging via Extrapolation
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T19:03:21.889435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fa7832d0-210e-47fd-8e39-871ed5599f6c · inbound
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields cites this paper.
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields FedExP: Speeding Up Federated Averaging via Extrapolation
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:57:20.357303Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d91d32d9-0699-4003-8a13-e62adbdc0c1b · inbound
Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization cites this paper.
Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization FedExP: Speeding Up Federated Averaging via Extrapolation
Reference 104
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:06:26.221691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.