Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.17970.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:51:57.151663Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 35c5e864-e238-451e-b7c6-4f7786c26a1a · inbound
Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning cites this paper.
Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:18:22.050757Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 530377a9-fd13-4797-bc16-7aba760e8e1f · inbound
ImprovDML: Improved Trade-off in Private Byzantine-Resilient Distributed Machine Learning cites this paper.
ImprovDML: Improved Trade-off in Private Byzantine-Resilient Distributed Machine Learning Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:51:57.151663Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a96e72b9-1a4f-4bcc-9cc7-e4a3df4acb2b · inbound
Giskard : Byzantine Robust and Confidential Aggregation for Large-Scale Decentralized Learning cites this paper.
Giskard : Byzantine Robust and Confidential Aggregation for Large-Scale Decentralized Learning Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T20:29:57.824275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.