Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Diffusion Beats Autoregressive: An Evaluation of Compositional Generation in Text-to-Image Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.22775.
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 2026-08-08T21:50:24.539811Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T21:48:58.268190Z
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 641dcc7a-5299-4d0a-81e5-24fcd4594a7b · inbound
Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? cites this paper.
Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? Diffusion Beats Autoregressive: An Evaluation of Compositional Generation in Text-to-Image Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T21:50:24.539811Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a67cb10-e9b4-462b-8869-d8d9ce9ea2b3 · inbound
Why Settle for Mid: A Probabilistic Viewpoint to Spatial Relationship Alignment in Text-to-image Models cites this paper.
Why Settle for Mid: A Probabilistic Viewpoint to Spatial Relationship Alignment in Text-to-image Models Diffusion Beats Autoregressive: An Evaluation of Compositional Generation in Text-to-Image Models
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T21:48:58.305767Z
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.