Paper Citation Record · LEDGER

RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models

As of 12 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.

pith.paper-citation-record.v1
2503.10406 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:53:26.025517Z

measured 0 of 1 external citation measurements

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 2026-08-12T06:34:41.77262+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.