Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Vertical Federated Learning: Concepts, Advances and Challenges
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2211.12814.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T11:45:58.807763Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T16:00:10.268631Z
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 9e4da73f-9bf0-40c9-8da5-9c4cb997bf7e · inbound
Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data cites this paper.
Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data Vertical Federated Learning: Concepts, Advances and Challenges
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:45:58.807763Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b05a3d5-4656-4d88-8879-46b8f4fb71a0 · inbound
FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning cites this paper.
FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning Vertical Federated Learning: Concepts, Advances and Challenges
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T16:00:10.271976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0ac14d0c-31a9-4139-8d53-f27b150fa99f · 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 Vertical Federated Learning: Concepts, Advances and Challenges
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:56:06.431044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.