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Paper Citation Record · LEDGER

Predicting Video with VQVAE

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2103.01950.

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

pith.paper-citation-record.v1
2103.01950 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 2026-08-19T06:32:44.657259+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:36:49.409281Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:47:29.725111Z

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 006a8af4-cd91-4c2b-b6e3-5ca43c374e7b · inbound

VideoGPT: Video Generation using VQ-VAE and Transformers cites this paper.

VideoGPT: Video Generation using VQ-VAE and Transformers Predicting Video with VQVAE

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:24:33.851129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T17:24:33.725187Z digest=sha256:fcc639d6d9a2197915f651668d95bbb1312f10e1636e8c8b29f8924de2007c69

Observation becc827f-ec90-4d52-b490-2770ce9214e3 · inbound

Video Diffusion Models cites this paper.

Video Diffusion Models Predicting Video with VQVAE

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-13T14:38:28.038363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T14:38:27.919104Z digest=sha256:cc9504672eab1237c2c9a3eec84c8854c09c8ede026580e653614f1196ab277b

Observation 4678c45a-d053-4c07-91d9-bb87a0248509 · inbound

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

Phenaki: Variable Length Video Generation From Open Domain Textual Description Predicting Video with VQVAE

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:43:34.127408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-17T01:43:34.024375Z digest=sha256:b02597f0e0dddf68846c535d5649f297d5458f56ea4a7d817480510c2bc57e3b

Observation 0883370d-3f6a-41f7-af22-279bbe3ceed3 · inbound

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

Latent Video Diffusion Models for High-Fidelity Long Video Generation Predicting Video with VQVAE

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.291686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T04:27:43.019940Z digest=sha256:7f0a5bdaff90e8a1b3a4349afc8ee5a1e75fd0264562537c1745def2ed9c0900

Observation 476ec4d4-bb8a-4277-92d3-d42782f94e1d · inbound

Learning Interactive Real-World Simulators cites this paper.

Learning Interactive Real-World Simulators Predicting Video with VQVAE

Reference 122

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T02:15:18.530964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-16T02:15:18.265190Z digest=sha256:6ea51ed5992face1a33e311f46c2369b144da5fe4646c3c49f95d27d1666282b

Observation a58a52b5-185c-4ab6-894b-04ff5b07f623 · inbound

I2VControl: Disentangled and Unified Video Motion Synthesis Control cites this paper.

I2VControl: Disentangled and Unified Video Motion Synthesis Control Predicting Video with VQVAE

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T12:36:49.409281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:36:49.409281Z digest=sha256:2f89301c704badc209f4cfc8569a793b7e268ad0ba6853d6c8b11d4ec987c04f

Observation 80260792-2f5c-477d-a704-a08243a0995d · inbound

Taming Teacher Forcing for Masked Autoregressive Video Generation cites this paper.

Taming Teacher Forcing for Masked Autoregressive Video Generation Predicting Video with VQVAE

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T17:16:47.594537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:16:47.594537Z digest=sha256:086ca009913f57f2043368a19da45e756171c9aa448c91c5207c1a8323337e9f

Observation 91648f63-5f8b-4ffd-bc75-f0a397dbc4d4 · inbound

How Optimality Structures Sparse Dictionaries: A Theory for Understanding SAE Representations cites this paper.

How Optimality Structures Sparse Dictionaries: A Theory for Understanding SAE Representations Predicting Video with VQVAE

Reference 270

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T01:46:26.212776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-28T11:36:45.020411Z digest=sha256:03773f5928c6e7701f9a44c0eb627b7b683ba5bfcf9b5895bfdea01f01642c68

Observation c4668ade-3ead-4ab4-a49d-7165f839114c · inbound

OmniGen-AR: AutoRegressive Any-to-Image Generation cites this paper.

OmniGen-AR: AutoRegressive Any-to-Image Generation Predicting Video with VQVAE

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:47:29.726937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T17:05:16.883488Z digest=sha256:660cca17fe5fd87cc085deccfb93321f06eff5825faa6b68d785906d2ee73ad4