Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.06750.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:37:19.102203Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T22:50:21.725735Z
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 82024759-618d-456e-bd9f-c0772cb4ed0e · inbound
An Empirical Study of Vulnerability Detection using Federated Learning cites this paper.
An Empirical Study of Vulnerability Detection using Federated Learning Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:37:19.102203Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac2f43f4-3aee-4ca6-b514-907076ba0280 · inbound
FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis cites this paper.
FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:58:40.749681Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9e42801-da69-466e-b658-ead3b35d766e · inbound
WallStreetFeds: Client-Specific Tokens as Investment Vehicles in Federated Learning cites this paper.
WallStreetFeds: Client-Specific Tokens as Investment Vehicles in Federated Learning Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T22:50:21.729326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.