Paper Citation Record · LEDGER

Generating Long Videos of Dynamic Scenes

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2206.03429.

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

pith.paper-citation-record.v1
2206.03429 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 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:56:27.754175Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T13:03:58.265823Z

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 3c82eeae-933f-4883-9942-1fc82ff293de · inbound

Latent Video Diffusion Models for High-Fidelity Long Video Generation cites this paper.

Latent Video Diffusion Models for High-Fidelity Long Video Generation Generating Long Videos of Dynamic Scenes

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T04:27:43.084022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c4d6d7ff-4101-4898-af93-14fc9eda96ed · inbound

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory cites this paper.

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory Generating Long Videos of Dynamic Scenes

Reference 105

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:03:58.268180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9078a094-0bff-40e8-90ff-29a36dd503ad · inbound

Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation cites this paper.

Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation Generating Long Videos of Dynamic Scenes

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:06:44.718280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d7ce9281-fa70-44c8-b067-befc63e6bda9 · inbound

Deepfake Technology Unveiled: The Commoditization of AI and Its Impact on Digital Trust cites this paper.

Deepfake Technology Unveiled: The Commoditization of AI and Its Impact on Digital Trust Generating Long Videos of Dynamic Scenes

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T14:56:27.754175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8e5648f-1b7b-4433-85bb-64a28f7f72c9 · inbound

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality cites this paper.

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality Generating Long Videos of Dynamic Scenes

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T18:51:24.241885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.