Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Communication and Storage Efficient Federated Split Learning
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.05599.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:11:34.954408Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T09:26:25.212885Z
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 99dac147-618d-48a5-b9fb-54e98537f433 · inbound
How Can Incentives and Cut Layer Selection Influence Data Contribution in Split Federated Learning? cites this paper.
How Can Incentives and Cut Layer Selection Influence Data Contribution in Split Federated Learning? Communication and Storage Efficient Federated Split Learning
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:02:47.018984Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34a43ad3-1398-4485-a09c-6ce51db7647e · inbound
SFL-LEO: Asynchronous Split-Federated Learning Design for LEO Satellite-Ground Network Framework cites this paper.
SFL-LEO: Asynchronous Split-Federated Learning Design for LEO Satellite-Ground Network Framework Communication and Storage Efficient Federated Split Learning
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:11:34.954408Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b10bd88-6cfe-47cd-ad1b-844ba149faa1 · inbound
SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning cites this paper.
SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning Communication and Storage Efficient Federated Split Learning
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:26:25.214695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.