Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Novel Privacy Enhancement Scheme with Dynamic Quantization for Federated Learning
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.16058.
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 2026-08-04T13:45:04.489212Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T20:41:09.345732Z
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 b97324aa-48f4-4121-8b7b-26480dbf0fdd · inbound
Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation cites this paper.
Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation A Novel Privacy Enhancement Scheme with Dynamic Quantization for Federated Learning
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:45:04.489212Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b57d8a8a-25c7-44ff-b1ec-d7e056ff88d8 · inbound
Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy cites this paper.
Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy A Novel Privacy Enhancement Scheme with Dynamic Quantization for Federated Learning
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:41:09.351026Z
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.