Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.05852.
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 2026-08-08T22:51:30.404867Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T18:38:11.191413Z
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 20852fb2-9ca2-41a4-bac4-f9fc2ce0b436 · inbound
Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations cites this paper.
Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
Reference 102
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T18:38:11.195299Z
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 856f6a24-3d80-4fa8-a1ca-a9bdc88335d6 · inbound
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features cites this paper.
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T22:51:30.404867Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.