Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2208.07978.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:09:19.534408Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T00:10:24.057466Z
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 7afad328-f108-405a-bad6-cfc3734733e0 · inbound
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions cites this paper.
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion
Reference 202
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:39:18.834219Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7562248-afa9-48d2-b9b8-d3b5b2be1213 · inbound
Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis cites this paper.
Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T00:10:24.074668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 731fcf5c-7cc5-4040-a113-a118e19ef6c0 · inbound
UnifyFL: Enabling Decentralized Cross-Silo Federated Learning cites this paper.
UnifyFL: Enabling Decentralized Cross-Silo Federated Learning Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:09:19.534408Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.