Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1911.11815.
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 2026-08-14T11:37:13.675396Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T05:18:22.362290Z
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 f344c2c6-e7cf-4859-acf5-a7e900dbc015 · inbound
Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model cites this paper.
Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:37:13.675396Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09d2bfe1-60c8-4563-98bb-c8eb837cac11 · inbound
Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning cites this paper.
Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T05:18:22.396629Z
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.