Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Intriguing properties of synthetic images: from generative adversarial networks to diffusion models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.06408.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T01:08:22.794058Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T15:45:48.486161Z
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 58b05fa2-77c8-471b-8ce9-8cd369058e7f · inbound
Navigating the Challenges of AI-Generated Image Detection in the Wild: What Truly Matters? cites this paper.
Navigating the Challenges of AI-Generated Image Detection in the Wild: What Truly Matters? Intriguing properties of synthetic images: from generative adversarial networks to diffusion models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T23:34:26.611487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 86a1e2f6-0238-432c-966d-6df55d211fa7 · inbound
Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images cites this paper.
Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images Intriguing properties of synthetic images: from generative adversarial networks to diffusion models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T15:45:48.487556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.