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Paper Citation Record · LEDGER

A Survey on Long Video Generation: Challenges, Methods, and Prospects

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2403.16407.

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

pith.paper-citation-record.v1
2403.16407 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:30:59.317393Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:26:56.735824Z

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 838b0356-193e-45f3-971c-4639a48b9257 · inbound

Generative Adversarial Networks Bridging Art and Machine Intelligence cites this paper.

Generative Adversarial Networks Bridging Art and Machine Intelligence A Survey on Long Video Generation: Challenges, Methods, and Prospects

Reference 168

Resolution
unresolved
no resolver link, observed 2026-08-08T23:30:59.317393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:30:59.317393Z digest=sha256:cbbef91682ee36b0fab356f1f1606feabdab3a8bd8579aaf97efe2b92685f2d3

Observation a307adf3-e2ac-4d93-8f34-e9cdbdb6e240 · inbound

Frame-Level Captions for Long Video Generation with Complex Multi Scenes cites this paper.

Frame-Level Captions for Long Video Generation with Complex Multi Scenes A Survey on Long Video Generation: Challenges, Methods, and Prospects

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:22.315530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:52:22.315530Z digest=sha256:170c9a7b5b0ca052f965a104fbbc834cd5c97952cdea08cacc2cfa9681b08f5b

Observation d0286e43-f346-4113-ae7b-c0b2251fa678 · inbound

ATLAS: Learning to Optimally Memorize the Context at Test Time cites this paper.

ATLAS: Learning to Optimally Memorize the Context at Test Time A Survey on Long Video Generation: Challenges, Methods, and Prospects

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T12:44:19.256003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:19.256003Z digest=sha256:e1da04dd06ffde31f2b2779352b3255767b2996835fe1c7efd2e5b0f9165d538

Observation 537a1492-6b2a-408f-880c-16d2b2a1bf8c · inbound

ERMV: Editing 4D Robotic Multi-view images to enhance embodied agents cites this paper.

ERMV: Editing 4D Robotic Multi-view images to enhance embodied agents A Survey on Long Video Generation: Challenges, Methods, and Prospects

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T14:53:33.702516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:53:33.702516Z digest=sha256:5d38eb9d03c154feb2a53efb50e183bcfd20ceb0ff8e1fefe30464d1d24904ae

Observation ec1d874a-f021-48d2-b869-77dc696d57be · inbound

WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World cites this paper.

WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World A Survey on Long Video Generation: Challenges, Methods, and Prospects

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-03T17:02:36.793779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:02:36.793779Z digest=sha256:a86914a0e3f763752d55c65039356a99082d6a399104aa54b5f86af33e69df53

Observation a1098188-9ba0-459b-9f22-7f3000900a6c · inbound

Evolution of Video Generative Foundations cites this paper.

Evolution of Video Generative Foundations A Survey on Long Video Generation: Challenges, Methods, and Prospects

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:05:51.998875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:41:38.616611Z digest=sha256:527e91cca920d1c50edf23dccc73e173b498e37a8767223306452aed34d39049

Observation fb6c872f-e6c3-45be-b0df-db303aec2f41 · inbound

GTA: Advancing Image-to-3D World Generation via Geometry Then Appearance Video Diffusion cites this paper.

GTA: Advancing Image-to-3D World Generation via Geometry Then Appearance Video Diffusion A Survey on Long Video Generation: Challenges, Methods, and Prospects

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T19:39:23.448664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T19:39:16.410139Z digest=sha256:f3ffd5fb32cb5296306612fbe4e8c2a4531deafc17e7154cbdefcfea4c2009fb

Observation d09b2033-2cae-41b2-bd41-04713a22cf69 · inbound

DrawVideo: Generating Long Video from Storyboard Keyframe Sketches cites this paper.

DrawVideo: Generating Long Video from Storyboard Keyframe Sketches A Survey on Long Video Generation: Challenges, Methods, and Prospects

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-25T02:40:14.576835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T02:40:00.873188Z digest=sha256:e411713840caae096ca6858c8ed84076f2ad05e961121f09ea3eb3ce3ee607fb

Observation 5f9cc544-04e0-4b59-b5d4-f43eeeb6015d · inbound

RhymeFlow: Training-Free Acceleration for Video Generation with Asynchronous Denoising Flow Scheduling cites this paper.

RhymeFlow: Training-Free Acceleration for Video Generation with Asynchronous Denoising Flow Scheduling A Survey on Long Video Generation: Challenges, Methods, and Prospects

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:26:56.737832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T02:08:44.257127Z digest=sha256:c4b9075b4841156dc1cfa7cc0311a092112d410d04ace41a4a54f51134c672eb