Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2306.13263.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T04:25:52.511400Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T04:25:52.730493Z
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 d12027da-8137-4d77-8a1d-a176329153c9 · inbound
FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning cites this paper.
FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T04:25:52.735798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.