Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SecFL: Confidential Federated Learning using TEEs
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2110.00981.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T18:12:41.567566Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T08:46:49.017815Z
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 8cd4eed9-ae12-40c5-a090-ea484ddd4f6c · inbound
A performance analysis of VM-based Trusted Execution Environments for Confidential Federated Learning cites this paper.
A performance analysis of VM-based Trusted Execution Environments for Confidential Federated Learning SecFL: Confidential Federated Learning using TEEs
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:12:41.567566Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7865ae6-7d4d-4b3f-a0cf-0a54535c2ba1 · inbound
Blueprint, Bootstrap, and Bridge: A Security Look at NVIDIA GPU Confidential Computing cites this paper.
Blueprint, Bootstrap, and Bridge: A Security Look at NVIDIA GPU Confidential Computing SecFL: Confidential Federated Learning using TEEs
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T06:12:07.198886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 38ddd3e4-cb5b-4ca0-86cf-61635d8b358d · inbound
DIST-FL: Enhancing Security for TEE-based Aggregation in Federated Learning cites this paper.
DIST-FL: Enhancing Security for TEE-based Aggregation in Federated Learning SecFL: Confidential Federated Learning using TEEs
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T08:46:49.019210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.