Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CAT: A GPU-Accelerated FHE Framework with Its Application to High-Precision Private Dataset Query
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.22227.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:58:10.649876Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T06:05:27.938543Z
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 eb98fdb4-df7d-43cc-9e20-c9bacacc61a3 · inbound
Leveraging ASIC AI Chips for Homomorphic Encryption cites this paper.
Leveraging ASIC AI Chips for Homomorphic Encryption CAT: A GPU-Accelerated FHE Framework with Its Application to High-Precision Private Dataset Query
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T06:05:27.941720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bffd63ca-253b-432e-bb0b-0fcf2b7c30f9 · inbound
Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives cites this paper.
Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives CAT: A GPU-Accelerated FHE Framework with Its Application to High-Precision Private Dataset Query
Reference 123
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:58:10.649876Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbc44ea3-f7c3-4375-87fc-6196bb2178e2 · inbound
QPADL: Post-Quantum Private Spectrum Access with Verified Location and DoS Resilience cites this paper.
QPADL: Post-Quantum Private Spectrum Access with Verified Location and DoS Resilience CAT: A GPU-Accelerated FHE Framework with Its Application to High-Precision Private Dataset Query
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:51:16.922734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.