Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fusion of Global and Local Knowledge for Personalized Federated Learning
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.11051.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-23T20:58:16.237327Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T20:58:26.133307Z
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 b8f2e401-414c-4d98-916b-8e1f950f4ff5 · inbound
Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.
Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Fusion of Global and Local Knowledge for Personalized Federated Learning
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T20:58:26.136424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 68492440-f07d-4d53-8cb1-82b970e95e57 · inbound
Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization cites this paper.
Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization Fusion of Global and Local Knowledge for Personalized Federated Learning
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:00:59.631841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.