Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2204.12703.
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 2026-08-07T13:59:34.389977Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T01:06:24.110193Z
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 e0b50cb5-274e-43e7-8a67-0e34baf24910 · inbound
Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data cites this paper.
Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:59:34.389977Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2727c497-b521-446f-b96b-c9f4a4c99801 · inbound
Representation-Aligned Multi-Scale Personalization for Federated Learning cites this paper.
Representation-Aligned Multi-Scale Personalization for Federated Learning Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T09:56:01.499239Z
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 bb9d0930-6404-44cc-b733-c3b883867141 · inbound
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion cites this paper.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
Reference 81
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:56:06.666402Z
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 0dd280a6-d5bb-4e5b-b324-02c9a844ecda · inbound
Boosting Multimodal Federated Learning via Chained Modality Optimization cites this paper.
Boosting Multimodal Federated Learning via Chained Modality Optimization Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T01:06:24.111732Z
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.