Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Machine Learning with Confidential Computing: A Systematization of Knowledge
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2208.10134.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-01T06:37:44.328625Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T08:46:49.037947Z
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 b76c6138-467d-40f0-8449-ab2dedfe3b59 · inbound
Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with an Application to Face Recognition cites this paper.
Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with an Application to Face Recognition Machine Learning with Confidential Computing: A Systematization of Knowledge
Reference 151
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T02:03:44.522572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dd44b0c3-233c-45e2-8b79-a1449a4900b5 · 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 Machine Learning with Confidential Computing: A Systematization of Knowledge
Reference 77
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T08:46:49.039453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation af43b01a-053b-45c3-a417-ca2b56283b29 · inbound
Probing Memorization of Tabular In-Context Learning cites this paper.
Probing Memorization of Tabular In-Context Learning Machine Learning with Confidential Computing: A Systematization of Knowledge
Reference 106
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T09:25:40.845285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.