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Paper Citation Record · LEDGER

Diffusion Probabilistic Modeling for Video Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2203.09481.

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

pith.paper-citation-record.v1
2203.09481 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:27:44.411401Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T06:55:28.792743Z

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 fe7affec-14a2-4827-b708-0a65c144fa83 · inbound

Video Diffusion Models cites this paper.

Video Diffusion Models Diffusion Probabilistic Modeling for Video Generation

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-13T14:38:28.050782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T14:38:27.919104Z digest=sha256:a19b3a7861bb5f9e5665baa77a2c8311084f458bced4b54bf720a883513000f8

Observation b7d91d84-8637-4bcc-9cee-aac628ca9040 · inbound

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow cites this paper.

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Diffusion Probabilistic Modeling for Video Generation

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:17:51.667690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T13:17:51.511535Z digest=sha256:2cf8746ff72c43301a0e8d8a00733c41d2d261467d0f8f243922c5d1b0c69aec

Observation 634ea525-7677-4909-b3c7-5cb57256de85 · inbound

Imagen Video: High Definition Video Generation with Diffusion Models cites this paper.

Imagen Video: High Definition Video Generation with Diffusion Models Diffusion Probabilistic Modeling for Video Generation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:31:08.254772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T03:31:08.155347Z digest=sha256:6880a95202f115ef17173a86f58e0e73e221b87a27385dbd4c461f018399bfa7

Observation b85ea5aa-d36e-4ce6-8c82-53d9f21e8027 · inbound

Phenaki: Variable Length Video Generation From Open Domain Textual Description cites this paper.

Phenaki: Variable Length Video Generation From Open Domain Textual Description Diffusion Probabilistic Modeling for Video Generation

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:43:34.162656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T01:43:34.024375Z digest=sha256:bf5a825e549df4d99a8d6ece2a29fd16c9a4c74dd55c03e6b93efc05cf4256cf

Observation c891f352-0d3b-46b8-ab75-16738006d8c0 · inbound

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers cites this paper.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Diffusion Probabilistic Modeling for Video Generation

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.838999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:9f7cc791f46c833e285d263c514c80c13bb6de4ca76c6ccc84445cd5a5411685

Observation a0e79902-89fd-479b-87de-539273aa2bdc · inbound

ModelScope Text-to-Video Technical Report cites this paper.

ModelScope Text-to-Video Technical Report Diffusion Probabilistic Modeling for Video Generation

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-12T19:47:29.499276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T19:47:29.252026Z digest=sha256:b1fc2b443bc8f6244f2062b9ea129adfb733e21786a25c4572155bb177e0ee03

Observation e98953f4-b714-427a-889a-541921cea9ae · inbound

Learning Interactive Real-World Simulators cites this paper.

Learning Interactive Real-World Simulators Diffusion Probabilistic Modeling for Video Generation

Reference 175

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T02:15:18.639262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-16T02:15:18.265190Z digest=sha256:b2c4e30f0fb1f72fc2d691a029d21c0b263c74da2b9fbf8fd04aa7084f3adf57

Observation 3d96f00f-5d4c-4b73-877e-4054c3856922 · inbound

I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models cites this paper.

I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models Diffusion Probabilistic Modeling for Video Generation

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:51:24.039244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T23:51:23.877344Z digest=sha256:36b86360fe774450669be380f119abac1db8fbc8a872a7d209ad4da51b0fd372

Observation cb66ead4-d74f-4af4-873d-423cae488f39 · inbound

Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling cites this paper.

Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling Diffusion Probabilistic Modeling for Video Generation

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T12:27:44.411401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:27:44.411401Z digest=sha256:a908061d264c6417d446521625428bed84eb2ed6d11bc75061279c6fcdf9cb37

Observation 8331cf42-b248-4c06-b379-b8635cf709c6 · inbound

Learning Video Dynamics with Predictive Differentiable Rendering cites this paper.

Learning Video Dynamics with Predictive Differentiable Rendering Diffusion Probabilistic Modeling for Video Generation

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T06:55:28.794453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T06:54:51.380497Z digest=sha256:32723555f92c1d3c665f1560af368ad3f6f0b008519bc9d699dccf6e6ac27461