Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.05138.
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 2026-06-27T17:31:55.976607Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T00:07:27.794690Z
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 9b0da58f-9023-4447-af46-f9a9625901ba · inbound
Optimizing Split Federated Learning with Unstable Client Participation cites this paper.
Optimizing Split Federated Learning with Unstable Client Participation Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T15:26:33.735807Z
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.
Observation 38103990-0002-4ab2-8dfe-4b1ea1d22711 · inbound
FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching cites this paper.
FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning
Reference 55
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T00:07:27.796272Z
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.