Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.04823.
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 2026-08-16T11:05:26.567012Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-16T12:16:17.039197Z
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 b85d7fd9-4d75-4429-97e8-64e4652a4742 · inbound
A Comprehensive Survey of Synthetic Tabular Data Generation cites this paper.
A Comprehensive Survey of Synthetic Tabular Data Generation How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data
Reference 117
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:05:26.567012Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb9015a9-7d7c-4853-817f-0ce9a0f3254b · inbound
Training with Hard Constraints: Learning Neural Certificates and Controllers for SDEs cites this paper.
Training with Hard Constraints: Learning Neural Certificates and Controllers for SDEs How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:23:44.093626Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eeb6a88a-1f4d-4097-a2b8-4f20a4e6abb0 · inbound
A Generative Framework for the Creation of Multi-Attribute Geographically-Explicit Synthetic Population cites this paper.
A Generative Framework for the Creation of Multi-Attribute Geographically-Explicit Synthetic Population How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T23:49:43.416155Z
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.