Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.04055.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:58:39.518207Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T02:03:44.391196Z
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 fd2ad6f3-21dd-4b4b-b2fc-4eb601edeffb · inbound
Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning cites this paper.
Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-07-09T02:19:34.836533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fe068444-5850-4268-9d3e-24ecaa92e7cd · inbound
ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs cites this paper.
ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:58:39.518207Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.