Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2503.10406.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:53:26.025517Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T02:16:45.814441Z
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 eebb71da-e1a6-4206-b3ba-b6d7b67678fd · inbound
Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis cites this paper.
Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:53:26.025517Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68a26326-f4ad-4c45-8584-08b95c14948d · inbound
From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models cites this paper.
From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:41:31.052141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c6ece53-9425-423a-b191-8fd2a77041cb · inbound
LongAnimation: Long Animation Generation with Dynamic Global-Local Memory cites this paper.
LongAnimation: Long Animation Generation with Dynamic Global-Local Memory RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:44:01.273125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a4a020f-ba17-4b79-a6b0-b7c45ab3c53a · inbound
USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning cites this paper.
USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:07:24.671855Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb05e227-021d-4edc-b7b1-623258346c5a · inbound
Video models are zero-shot learners and reasoners cites this paper.
Video models are zero-shot learners and reasoners RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:45.816914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f62f80e7-74cf-4f58-b552-a6f1ad172d51 · inbound
iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation cites this paper.
iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T06:47:06.699287Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f279ba0b-f1ff-424b-9ae6-0ce9dea986ed · inbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling cites this paper.
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T22:25:12.388284Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.