Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1711.10485.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T19:59:13.260493Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T05:56:11.264476Z
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 b53d88da-4c57-4fcd-845a-e6bebc3c0341 · inbound
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models cites this paper.
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T22:22:34.154770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9a5fcca2-7d38-42e2-968e-55fcb62b7ba9 · inbound
Hierarchical Text-Conditional Image Generation with CLIP Latents cites this paper.
Hierarchical Text-Conditional Image Generation with CLIP Latents AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T22:22:34.154770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 91ec3945-f28c-4ae7-b517-8e784824ad27 · inbound
Video Deepfake Abuse: How Company Choices Predictably Shape Misuse Patterns cites this paper.
Video Deepfake Abuse: How Company Choices Predictably Shape Misuse Patterns AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Reference 109
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:59:13.260493Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.