Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.14791.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:28:35.483630Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T15:40:18.982496Z
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 102a9ce7-4797-4ea5-a2a6-7c10c10451ed · inbound
FLEX-MoE: Federated Mixture-of-Experts with Load-balanced Expert Assignment for Edge Computing cites this paper.
FLEX-MoE: Federated Mixture-of-Experts with Load-balanced Expert Assignment for Edge Computing Recurrent Early Exits for Federated Learning with Heterogeneous Clients
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T15:40:18.984988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 28592620-96c0-4018-8b2f-d2d9ed01a85c · inbound
SpeechLLM Meets Federated Learning for End-to-End ASR: English and Italian Case Studies cites this paper.
SpeechLLM Meets Federated Learning for End-to-End ASR: English and Italian Case Studies Recurrent Early Exits for Federated Learning with Heterogeneous Clients
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:28:35.483630Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.