Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2207.08486.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:46:59.396695Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T21:37:00.206817Z
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 086b95fe-533d-422f-bc1b-0d6e28ef4057 · inbound
FL-PLAS: Federated Learning with Partial Layer Aggregation for Backdoor Defense Against High-Ratio Malicious Clients cites this paper.
FL-PLAS: Federated Learning with Partial Layer Aggregation for Backdoor Defense Against High-Ratio Malicious Clients Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:46:59.396695Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0006a0f4-dca7-4e25-88c2-ba1f10b53a1b · inbound
FIDELIS: Blockchain-Enabled Protection Against Poisoning Attacks in Federated Learning cites this paper.
FIDELIS: Blockchain-Enabled Protection Against Poisoning Attacks in Federated Learning Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T21:37:00.281903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.