Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient Personalized Federated Learning via Sparse Model-Adaptation
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.02776.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T11:55:31.562992Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-04T21:06:27.817803Z
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 94b6d5b1-5724-4555-98f2-03e95d2ad324 · inbound
Hypernetworks for Model-Heterogeneous Personalized Federated Learning cites this paper.
Hypernetworks for Model-Heterogeneous Personalized Federated Learning Efficient Personalized Federated Learning via Sparse Model-Adaptation
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:55:31.562992Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b709a45-698a-4302-866f-f5f34e0f8f01 · 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 Efficient Personalized Federated Learning via Sparse Model-Adaptation
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T21:06:27.821261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.