Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.08921.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T16:50:33.465167Z
A source-named dated measurement, never combined with another source.
Source: cited_works
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 990a61f9-7640-4a63-b235-8b459db4bcc4 · inbound
Diffusion models recover accurate mixture weights despite score function insensitivity cites this paper.
Diffusion models recover accurate mixture weights despite score function insensitivity How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T23:23:41.953772Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2272e4b-a07c-4801-aa0c-f40709221f19 · inbound
FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents cites this paper.
FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T16:50:33.465167Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.