Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2103.01901.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T04:41:41.370083Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T16:44:56.442323Z
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 ed7f0207-c096-4a2f-99c2-c69e707859b8 · inbound
Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage cites this paper.
Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?
Reference 120
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:44:56.443951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.