Paper Citation Record · LEDGER

Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.07356.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2407.07356 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:09:24.645574Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T21:12:06.327198Z

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 47d6c02c-82b3-4ec0-9fe5-00e73148a739 · inbound

Generative World Explorer cites this paper.

Generative World Explorer Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T18:09:24.645574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6632e14c-239c-49c3-9542-0c5c148cc6dd · inbound

PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation cites this paper.

PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T05:16:59.667873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45693286-2936-4c0c-a737-5b6101cbd6d7 · inbound

Video Diffusion Transformers are In-Context Learners cites this paper.

Video Diffusion Transformers are In-Context Learners Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-11T15:40:20.223009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26e6b10e-eba2-4e9f-b75a-467e885db8f3 · inbound

VidTok: A Versatile and Open-Source Video Tokenizer cites this paper.

VidTok: A Versatile and Open-Source Video Tokenizer Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-11T13:30:23.560193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f6c9b9a-9a26-43a0-a67d-e1420e868bf5 · inbound

Is Visual in-Context Learning for Compositional Medical Tasks within Reach? cites this paper.

Is Visual in-Context Learning for Compositional Medical Tasks within Reach? Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators

Reference 97

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:12:06.334449Z

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.