Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN)
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1910.08967.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:16:46.656226Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T21:35:42.435929Z
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 ac222d8c-ab69-4f84-9f61-416cb230e28d · inbound
Enhancing Low-Cost Video Editing with Lightweight Adaptors and Temporal-Aware Inversion cites this paper.
Enhancing Low-Cost Video Editing with Lightweight Adaptors and Temporal-Aware Inversion Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN)
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T21:35:42.439002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 81da844d-08a2-4da1-b4f9-3750aa63485f · inbound
Efficient Temporal Consistency in Diffusion-Based Video Editing with Adaptor Modules: A Theoretical Framework cites this paper.
Efficient Temporal Consistency in Diffusion-Based Video Editing with Adaptor Modules: A Theoretical Framework Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN)
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:16:46.656226Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.