Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Confidential Inference via Ternary Model Partitioning
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1807.00969.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:14:24.845578Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T22:16:24.795487Z
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 58921d93-d6aa-4bc4-8725-d62e8a0fb525 · inbound
Towards Characterizing and Limiting Information Exposure in DNN Layers cites this paper.
Towards Characterizing and Limiting Information Exposure in DNN Layers Confidential Inference via Ternary Model Partitioning
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T22:16:24.798333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1e09350b-d344-4c4b-b480-f3ec6ed5d770 · 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 Confidential Inference via Ternary Model Partitioning
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:14:24.845578Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e4428df-7480-4d33-94c1-3811d134c23f · 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 Confidential Inference via Ternary Model Partitioning
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:40:57.022782Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.