Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient Deep Learning on Multi-Source Private Data
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1807.06689.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T10:55:16.018365Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T12:40:58.915872Z
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 145e4e51-b686-42ae-b73a-c2ee37a5c62c · inbound
Key Protected Classification for Collaborative Learning cites this paper.
Key Protected Classification for Collaborative Learning Efficient Deep Learning on Multi-Source Private Data
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:55:16.018365Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55255262-2905-4a3a-a5a1-f0ebf11e3418 · inbound
Protecting Confidentiality, Privacy and Integrity in Collaborative Learning cites this paper.
Protecting Confidentiality, Privacy and Integrity in Collaborative Learning Efficient Deep Learning on Multi-Source Private Data
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:58:41.505241Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c68c854-0ef6-4bb1-93a5-7d19345ea9be · inbound
Security and Privacy of Digital Twins for Advanced Manufacturing: A Survey cites this paper.
Security and Privacy of Digital Twins for Advanced Manufacturing: A Survey Efficient Deep Learning on Multi-Source Private Data
Reference 69
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T12:40:58.920317Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.