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Paper Citation Record · LEDGER

Scaling Autoregressive Video Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:1906.02634.

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

pith.paper-citation-record.v1
1906.02634 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:13:39.217852Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:47:29.660618Z

Reference resolution

0 of 0 outbound references displayed

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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 91ea92ec-76b5-431f-b8ea-de2a8b10dae1 · inbound

RoboNet: Large-Scale Multi-Robot Learning cites this paper.

RoboNet: Large-Scale Multi-Robot Learning Scaling Autoregressive Video Models

Reference 54

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verified exact
arxiv_id, observed 2026-05-17T19:08:29.565123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation f7077376-1fbe-417d-8bd5-bfb1b19b4749 · inbound

Scaling Laws for Autoregressive Generative Modeling cites this paper.

Scaling Laws for Autoregressive Generative Modeling Scaling Autoregressive Video Models

Reference 29

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verified exact
arxiv_id, observed 2026-05-13T07:49:43.739116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-13T07:49:43.711653Z digest=sha256:b2cc036e2e7cf4b496f23367bf5daea3f38ee63e309cf3d987ec659584c2cf7b

Observation 8d851353-1f0d-41f5-baa1-d0c2e7f3db0b · inbound

Scaling Laws for Transfer cites this paper.

Scaling Laws for Transfer Scaling Autoregressive Video Models

Reference 30

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verified exact
arxiv_id, observed 2026-05-18T00:58:13.319559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-18T00:58:13.116663Z digest=sha256:b14cdce82879bf34f7300c9f194b38fe945d71ab8e300a92e4e6c9912e49e988

Observation f3905610-a946-4679-8e6d-481a34ab3107 · inbound

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

VideoGPT: Video Generation using VQ-VAE and Transformers Scaling Autoregressive Video Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:24:33.800197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T17:24:33.725187Z digest=sha256:a5447ad789cab77f91a7d3727e0040b8820d85a4b4d72109cf530d7b83d75d3f

Observation 4c792b27-dbbc-4462-896c-1784f375741a · inbound

A General Language Assistant as a Laboratory for Alignment cites this paper.

A General Language Assistant as a Laboratory for Alignment Scaling Autoregressive Video Models

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:22:59.397039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-11T14:22:57.925354Z digest=sha256:b7e9ffa6e9a9af3dc71f1d8c2cf2ff36352261e761c4df605784654492c438ae

Observation b180f7b3-bebd-49ed-9bf4-ba3dc3fbd7b7 · inbound

CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers cites this paper.

CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers Scaling Autoregressive Video Models

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:24:30.274235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-11T12:24:30.071822Z digest=sha256:b43df8b0adcd578befd4c1ba2b3d4601cf760796192dbecb07505074f1c70ec6

Observation ab0ae7f3-172f-459f-9e6c-872ac20f44d0 · inbound

Language Models (Mostly) Know What They Know cites this paper.

Language Models (Mostly) Know What They Know Scaling Autoregressive Video Models

Reference 116

Resolution
verified exact
arxiv_id, observed 2026-05-10T15:42:47.722284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T15:42:47.274448Z digest=sha256:ed9ae3f9d48a9566e33a7b6ac8b47d7bd7c6b087aa2e4defa44740070ab2b30a

Observation f9c02821-88b2-4b9f-b6d3-eb53bee47fb9 · inbound

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

Latent Video Diffusion Models for High-Fidelity Long Video Generation Scaling Autoregressive Video Models

Reference 42

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verified exact
arxiv_id, observed 2026-05-15T04:27:43.301157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T04:27:43.019940Z digest=sha256:4ef7a90dfc9fe03eaea05c726da36ab282026925a5684875c571bdf64bcdb392

Observation 1af8a514-8295-4d08-ba16-a7a65ba47d8b · inbound

Learning Interactive Real-World Simulators cites this paper.

Learning Interactive Real-World Simulators Scaling Autoregressive Video Models

Reference 121

Resolution
verified exact
arxiv_id, observed 2026-05-16T02:15:18.526977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-16T02:15:18.265190Z digest=sha256:63847fd65a9c59ae0de2100e55d8304b25865b64513ff5ea90b4e2d3dca4695f

Observation 9b268853-d784-4722-a5cb-809d3be2f0ff · inbound

TIV-Diffusion: Towards Object-Centric Movement for Text-driven Image to Video Generation cites this paper.

TIV-Diffusion: Towards Object-Centric Movement for Text-driven Image to Video Generation Scaling Autoregressive Video Models

Reference 58

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unresolved
no resolver link, observed 2026-08-11T16:13:39.217852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:13:39.217852Z digest=sha256:bc9780ebd22516c8790769656b09ec3a40d3d0e801080c3663f9212d711caa25

Observation 2fb6ad99-ee9c-4b95-bced-3ccd00056862 · inbound

Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation cites this paper.

Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation Scaling Autoregressive Video Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T13:15:28.589951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:15:28.589951Z digest=sha256:51f41519cb96b2510bbdd90f6e5f52683725dfb3cabae24364420fe56d74615c

Observation 28ce68f5-b37b-4853-9ffd-55225236cd83 · inbound

An Empirical Study of Autoregressive Pre-training from Videos cites this paper.

An Empirical Study of Autoregressive Pre-training from Videos Scaling Autoregressive Video Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:08.532079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:08.532079Z digest=sha256:ab846c7eea661bae45c0175da4371a99c11def5a80a3f58048015c697c3d39f5

Observation dd192a89-50fd-472c-86b0-06e7132d1bb2 · inbound

UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation cites this paper.

UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation Scaling Autoregressive Video Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-09T00:55:11.011088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:55:11.011088Z digest=sha256:cd414b081e58c094d79f29819f9efb91dc8575a1ed358ef6642fee670ebbb038

Observation 1046cc4f-9fd8-4a98-bf2c-a639a39db242 · inbound

Unified Video Action Model cites this paper.

Unified Video Action Model Scaling Autoregressive Video Models

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:50:29.783258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T17:50:29.675358Z digest=sha256:97766fec805202351a5e25701a9173d504e57fe756226f02660c37d7794fedda

Observation 3157fbbe-56d6-46b8-8f4e-3bc4febf246a · inbound

VRAG: Learning World Models for Interactive Video Generation cites this paper.

VRAG: Learning World Models for Interactive Video Generation Scaling Autoregressive Video Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-19T12:37:17.559584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T12:35:19.379364Z digest=sha256:2a2c0f564eadedd27873500f493a64a35975b68fb1465c225dc315339a327dff

Observation f3ff87d9-261c-46ac-86b4-4a740d09655f · inbound

VRAG: Learning World Models for Interactive Video Generation cites this paper.

VRAG: Learning World Models for Interactive Video Generation Scaling Autoregressive Video Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T13:23:20.234526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:23:20.234526Z digest=sha256:8255f90e79d5eccc48fe67c534d1d56338a0ebf1812a39da2ab8b0aedcff9678

Observation 693cfbf2-77d1-4ef7-a950-5d012213ccc0 · inbound

Energy-Based Transformers are Scalable Learners and Thinkers cites this paper.

Energy-Based Transformers are Scalable Learners and Thinkers Scaling Autoregressive Video Models

Reference 108

Resolution
unresolved
no resolver link, observed 2026-08-06T20:42:37.261800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:42:37.261800Z digest=sha256:cde25d8c5d82afc50d7470a5aa20b8c0070fe401300318e7a742a71d8c110013

Observation 4f76dc71-c2a8-43e8-9044-d1d1ebaf4a20 · inbound

Rolling Forcing: Autoregressive Long Video Diffusion in Real Time cites this paper.

Rolling Forcing: Autoregressive Long Video Diffusion in Real Time Scaling Autoregressive Video Models

Reference 98

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verified exact
arxiv_id, observed 2026-05-16T11:15:29.228937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-16T11:15:29.102090Z digest=sha256:5c0239c89c94ad8fd3bfea027771793bc0cccde31533b2487f7e18d7fe113215

Observation e301a322-d3c1-48fc-b340-ed6ccdacf7e0 · inbound

Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation cites this paper.

Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation Scaling Autoregressive Video Models

Reference 39

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verified exact
arxiv_id, observed 2026-05-21T17:32:01.832197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T17:32:01.642256Z digest=sha256:1e56ed4ec83a7c94af447747d34bbb8ae23f0eeb0f6306ed16ac76e3427af5b9

Observation d2dbe9c8-a12e-4b9f-8176-8f8c2a18527d · inbound

Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation cites this paper.

Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation Scaling Autoregressive Video Models

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-22T11:51:29.713619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-22T11:48:00.633421Z digest=sha256:567fb9db723ea16a997f5f6d8dd2b0c62f00c82f6f9faa7efe855f64250eba38

Observation 2634eda9-eb98-4386-8495-3a4f613e89c5 · inbound

Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation cites this paper.

Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation Scaling Autoregressive Video Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T05:30:28.357227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:30:28.357227Z digest=sha256:232916931e85c691df162ff38707c9162d9a5b07ae3418e7ab7b38d061208ced

Observation 6d238aa2-86dc-4d8d-8501-d14c98255099 · inbound

Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion cites this paper.

Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion Scaling Autoregressive Video Models

Reference 94

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verified exact
arxiv_id, observed 2026-05-16T07:07:29.790682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-16T07:02:38.876518Z digest=sha256:f9ec6d983d8dc38b2c05492717e11b7970105c9e02db1aacae3a61070d1a28eb

Observation 5c41d953-4fa3-4365-9c12-66d03bdb7c2b · inbound

Head Forcing: Long Autoregressive Video Generation via Head Heterogeneity cites this paper.

Head Forcing: Long Autoregressive Video Generation via Head Heterogeneity Scaling Autoregressive Video Models

Reference 53

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verified exact
arxiv_id, observed 2026-05-15T02:33:32.099577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T02:31:48.593354Z digest=sha256:d710ea0c838d43877f14b5e57d2dc3ff003eccbb1392b8d7116a429d6b189eb3

Observation 5be4ef19-5f20-4907-a47c-8cccf2631c30 · inbound

Causal Forcing++: Scalable Few-Step Autoregressive Diffusion Distillation for Real-Time Interactive Video Generation cites this paper.

Causal Forcing++: Scalable Few-Step Autoregressive Diffusion Distillation for Real-Time Interactive Video Generation Scaling Autoregressive Video Models

Reference 40

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verified exact
arxiv_id, observed 2026-06-30T21:05:04.417064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T20:59:34.847496Z digest=sha256:6db52b2f3ccab4aa8122c88b88a48e1426e1ee53b8b4af71c758898e94c82910

Observation c401a9ec-bbcb-4c31-83e7-e64d92bf4b08 · inbound

Streaming Video Generation with Streaming Force Control cites this paper.

Streaming Video Generation with Streaming Force Control Scaling Autoregressive Video Models

Reference 60

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verified exact
arxiv_id, observed 2026-07-02T17:07:12.409536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T22:14:32.465663Z digest=sha256:53884fe4e249df5a3561e3d16fab0d3ac7c08a6a7092ae51daa83d1c847a32f0

Observation abefa1db-9231-49e5-9c22-55745435d910 · inbound

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

OmniGen-AR: AutoRegressive Any-to-Image Generation Scaling Autoregressive Video Models

Reference 91

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verified exact
arxiv_id, observed 2026-07-03T00:47:29.662116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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