Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Framework for Preserving Privacy and Cybersecurity in Brain-Computer Interfacing Applications
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.09653.
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 2026-08-10T23:02:16.408019Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T02:47:08.074846Z
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 da56cf28-104c-43e2-aa29-da439fba9ae9 · inbound
Human-AI Teaming Using Large Language Models: Boosting Brain-Computer Interfacing (BCI) and Brain Research cites this paper.
Human-AI Teaming Using Large Language Models: Boosting Brain-Computer Interfacing (BCI) and Brain Research A Framework for Preserving Privacy and Cybersecurity in Brain-Computer Interfacing Applications
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:02:16.408019Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6671f184-04b7-43c2-ab71-d6d696b8825f · inbound
Revisiting Privacy Preservation in Brain-Computer Interfaces: Conceptual Boundaries, Risk Pathways, and a Protection-Strength Grading Framework cites this paper.
Revisiting Privacy Preservation in Brain-Computer Interfaces: Conceptual Boundaries, Risk Pathways, and a Protection-Strength Grading Framework A Framework for Preserving Privacy and Cybersecurity in Brain-Computer Interfacing Applications
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T02:47:08.076722Z
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.