Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Comparing Synthetic Tabular Data Generation Between a Probabilistic Model and a Deep Learning Model for Education Use Cases
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.08528.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:05:25.982255Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T00:49:48.670866Z
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 94f52165-61e3-4294-803b-7821ac03a739 · inbound
A Comprehensive Survey of Synthetic Tabular Data Generation cites this paper.
A Comprehensive Survey of Synthetic Tabular Data Generation Comparing Synthetic Tabular Data Generation Between a Probabilistic Model and a Deep Learning Model for Education Use Cases
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:05:25.982255Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8bd52d40-4c56-41a7-b2bd-b88da3b2434a · inbound
Synthetic Data in Education: Empirical Insights from Traditional Resampling and Deep Generative Models cites this paper.
Synthetic Data in Education: Empirical Insights from Traditional Resampling and Deep Generative Models Comparing Synthetic Tabular Data Generation Between a Probabilistic Model and a Deep Learning Model for Education Use Cases
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:49:48.672091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.