Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.01687.
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 2026-08-08T19:09:04.138404Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T14:33:30.900084Z
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 f8bb1c4e-8309-42d6-92eb-63b3bedafada · inbound
Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model cites this paper.
Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:09:04.138404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 692193e6-67a7-450e-a7e8-a13b35558ba3 · inbound
DP-SAPF: Saliency-Aware Parameter Fine-tuning of Public Models for Differentially Private Image Synthesis cites this paper.
DP-SAPF: Saliency-Aware Parameter Fine-tuning of Public Models for Differentially Private Image Synthesis Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T14:33:30.901790Z
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.