Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient Privacy-Preserving Machine Learning with Lightweight Trusted Hardware
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.10133.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:14:24.910390Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T20:14:27.488196Z
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 ad61212f-8063-4ff1-910a-3c68cd4976db · inbound
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models cites this paper.
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models Efficient Privacy-Preserving Machine Learning with Lightweight Trusted Hardware
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T20:14:27.492232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5c7deeeb-fb2e-4d79-9e67-abf02f902221 · inbound
CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Computation cites this paper.
CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Computation Efficient Privacy-Preserving Machine Learning with Lightweight Trusted Hardware
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T20:28:53.088145Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.