Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1909.13403.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:26:31.602124Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T10:51:53.364121Z
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 0d1b148a-ca1e-42f0-a734-33b8b5a60683 · inbound
Federated Diffusion Modeling with Differential Privacy for Tabular Data Synthesis cites this paper.
Federated Diffusion Modeling with Differential Privacy for Tabular Data Synthesis Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T10:51:53.372764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bb0f608a-d41f-4e71-9082-593bd768bc50 · inbound
Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study cites this paper.
Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:26:31.602124Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b10c86a-efb4-4799-8182-10298318677f · inbound
Synthetic Time Series Generation via Complex Networks cites this paper.
Synthetic Time Series Generation via Complex Networks Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T06:26:48.450598Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.