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Paper Citation Record · LEDGER

Loong: Generating Minute-level Long Videos with Autoregressive Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2410.02757.

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

pith.paper-citation-record.v1
2410.02757 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 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 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:36:05.895482Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:59:42.133975Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
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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 43ecb43a-4735-4712-b75f-d7a2087f9dc3 · inbound

Autoregressive Video Generation without Vector Quantization cites this paper.

Autoregressive Video Generation without Vector Quantization Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 27

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metadata mismatch
arxiv_id, observed 2026-05-17T15:07:39.816112Z

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=2026-05-17T15:07:39.718555Z digest=sha256:e9898ffb71e94f503b51bb9c25790f31082bae5b6c98ef7e0c13b59d4b838fad

Observation 234ef67b-9fed-4f69-b73b-0b10d0e4e238 · inbound

Long-Context State-Space Video World Models cites this paper.

Long-Context State-Space Video World Models Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 70

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no resolver link, observed 2026-08-07T14:03:20.688743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:03:20.688743Z digest=sha256:79a6e73787d51ccf6d872ad846d033fb452546210b22ff6afaaf00d3d93be7bd

Observation 65cb59c6-2c2e-4798-9077-12b5e9ee947f · inbound

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots cites this paper.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 53

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no resolver link, observed 2026-08-07T14:00:17.046537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:00:17.046537Z digest=sha256:b5dd3247e57f8d9db98b055fe1dd74dcd9dafa85feca8f0c7c808c5af2e7b00e

Observation ecf31cbd-af7b-4861-b57c-eee64139f826 · inbound

Video World Models with Long-term Spatial Memory cites this paper.

Video World Models with Long-term Spatial Memory Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 71

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no resolver link, observed 2026-08-07T10:28:41.605178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:41.605178Z digest=sha256:f0360b35bd2d118984f4b3a00c63b111114c827bfc386bdd998a0677518ffb8b

Observation 4dad1b58-0de1-4a3d-a9d1-2327fcd5b564 · inbound

Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion cites this paper.

Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 86

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verified exact
arxiv_id, observed 2026-05-11T01:36:53.131734Z

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=2026-05-11T01:36:53.029590Z digest=sha256:2767e112cccad2021fb96628ebc8baeff492581558a8ce9abddc674ffc1c43d3

Observation 7e651edd-6035-493a-89c6-4aad685075c8 · inbound

SpectralAR: Spectral Autoregressive Visual Generation cites this paper.

SpectralAR: Spectral Autoregressive Visual Generation Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 57

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no resolver link, observed 2026-08-07T04:17:51.201816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:17:51.201816Z digest=sha256:1a3e64c70e0c0913b80c8dd36b5c91e3d489fe61f93d98cc01ceb5489e84984a

Observation f9215a7e-f11a-4acd-a52a-ec5a86ff0863 · inbound

UltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions cites this paper.

UltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 39

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no resolver link, observed 2026-08-07T00:30:58.539477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:30:58.539477Z digest=sha256:53c136a11f305e3a0eba161c195d6d08d5a81462eb94c661c1deb61639ecdb67

Observation 7f265ae3-e3f9-4289-ab4c-441826bbe344 · inbound

VideoMAR: Autoregressive Video Generatio with Continuous Tokens cites this paper.

VideoMAR: Autoregressive Video Generatio with Continuous Tokens Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 28

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no resolver link, observed 2026-08-07T00:30:28.919613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:30:28.919613Z digest=sha256:fa37e35b26d3e6fb10152eb7e02d1a0640273bc57781ca2a2eadd05ac20b617a

Observation 08562ac5-5180-4707-9435-0fbf8578180c · 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 Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 81

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no resolver link, observed 2026-08-06T18:51:29.715057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:51:29.715057Z digest=sha256:e2189400d0222cac9ef27decf3ebfbb44835a0da31b78b2890612864bd111fd4

Observation 7f4c72cf-7aea-430b-bf5e-81a1e9075b20 · inbound

TokensGen: Harnessing Condensed Tokens for Long Video Generation cites this paper.

TokensGen: Harnessing Condensed Tokens for Long Video Generation Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 39

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unresolved
no resolver link, observed 2026-08-06T15:28:30.643014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:28:30.643014Z digest=sha256:2daca7c348a0bc15eb4f454e33ad94e98aa53e5f359d1df59f24eb338aa768d3

Observation 18149d3f-4904-48fb-97af-b879614ffba6 · inbound

Enhancing Scene Transition Awareness in Video Generation via Post-Training cites this paper.

Enhancing Scene Transition Awareness in Video Generation via Post-Training Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 2024

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no resolver link, observed 2026-08-06T14:43:03.279456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:43:03.279456Z digest=sha256:9b5689f6477e39196a10f21cabb9065ef6e3ffe548e8aa5b017754899e804a3d

Observation e17afe89-c307-4c59-a8a1-eae9de4956e7 · inbound

HumanGenesis: Agent-Based Geometric and Generative Modeling for Synthetic Human Dynamics cites this paper.

HumanGenesis: Agent-Based Geometric and Generative Modeling for Synthetic Human Dynamics Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 47

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unresolved
no resolver link, observed 2026-08-05T20:49:52.758882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:49:52.758882Z digest=sha256:8822815b8d9e74bb39a1e9beeeb59a366e4bb8c7ce67b5cf6646b50820348f57

Observation 05edc1df-c0f8-4a7c-bebf-b1e5fa8eb76a · inbound

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

Rolling Forcing: Autoregressive Long Video Diffusion in Real Time Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 97

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T11:15:29.226122Z

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=arxiv_source observed=2026-05-16T11:15:29.102090Z digest=sha256:318ddd925dc42b90d6ad54d886d6210a82027a549272ab4034beb800c9757ec4

Observation 4965dc40-66e5-46c6-a47e-84b38ec35294 · inbound

RAPO++: Cross-Stage Prompt Optimization for Text-to-Video Generation via Data Alignment and Test-Time Scaling cites this paper.

RAPO++: Cross-Stage Prompt Optimization for Text-to-Video Generation via Data Alignment and Test-Time Scaling Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 81

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T05:15:54.297371Z

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=2026-05-18T05:13:42.934115Z digest=sha256:71795862a6d2ce213cfbb27f83ce8383db79b308bb77a7ad7ddc8e47a30a0209

Observation 6b987e18-a487-43ca-a8c6-39df490ec4bb · inbound

Inferix: A Block-Diffusion based Next-Generation Inference Engine for World Simulation cites this paper.

Inferix: A Block-Diffusion based Next-Generation Inference Engine for World Simulation Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 35

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verified exact
arxiv_id, observed 2026-05-17T05:19:05.018987Z

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=2026-05-17T05:14:36.280155Z digest=sha256:25809993cc5fb10ccd25205bfd5bd3906dd071e0a71ef5d0b62eae949599b622

Observation ff0dd921-4190-4d2d-bbac-46e2f790ad5c · inbound

BIFE: Better Interaction, Fewer Errors for Minute-Long Video Generation cites this paper.

BIFE: Better Interaction, Fewer Errors for Minute-Long Video Generation Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-03T19:41:58.807489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:41:58.807489Z digest=sha256:e31a636c2e9d7cc70601a1bf6341b4fc2b5a0bdea498f44f7f704eacc32df29f

Observation ad757ea3-19b1-4a42-b533-57ba00fbb443 · 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 Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 93

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T07:07:29.831479Z

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=2026-05-16T07:02:38.876518Z digest=sha256:63f7038334122aa6d5ce123109a8b7e8d5bfa4e094ea47d33f24e045496e944f

Observation 4d353ac6-2594-423e-b748-f3962774c70e · inbound

GeoWorld: Geometric World Models cites this paper.

GeoWorld: Geometric World Models Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-21T11:40:03.337727Z

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=2026-05-21T11:39:15.308355Z digest=sha256:1570f36aa00bf1d6f25c7a5be2e63586d6b3a3bcadd5878427d082e87478c817

Observation db661cb8-0b07-4279-8e00-1d6053650965 · inbound

EduVQA: Towards Concept-Aware Assessment of Educational AI-Generated Videos cites this paper.

EduVQA: Towards Concept-Aware Assessment of Educational AI-Generated Videos Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 11

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verified exact
arxiv_id, observed 2026-05-21T11:54:09.103453Z

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=2026-05-21T11:52:09.262497Z digest=sha256:cc1b9a323f0552e9a57b6927ac213fa35d56a561dcb756c626a0b6d7d3c283ed

Observation a5275a79-fece-4cb6-871f-5115c91336d4 · inbound

Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms cites this paper.

Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 66

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metadata mismatch
arxiv_id, observed 2026-05-14T01:38:36.372424Z

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=2026-05-14T01:35:14.878069Z digest=sha256:769663f319d2b6def6489cc80c4aad60e38af7eb09b6b0bcecf7214c548be88b

Observation 60e5bb63-2705-4696-9a2a-b466ed02e487 · inbound

INSPATIO-WORLD: A Real-Time 4D World Simulator via Spatiotemporal Autoregressive Modeling cites this paper.

INSPATIO-WORLD: A Real-Time 4D World Simulator via Spatiotemporal Autoregressive Modeling Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 83

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verified exact
arxiv_id, observed 2026-05-10T23:25:53.605274Z

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=2026-05-10T19:08:56.588282Z digest=sha256:4595e466e17238d1cec03156b1109daf9413889ddc637e0877e6481a194b2e23

Observation abc3491d-9480-4f38-b430-594dc4f6170b · inbound

Mutual Forcing: Dual-Mode Self-Evolution for Fast Autoregressive Audio-Video Character Generation cites this paper.

Mutual Forcing: Dual-Mode Self-Evolution for Fast Autoregressive Audio-Video Character Generation Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 50

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arxiv_id, observed 2026-05-11T23:31:14.905365Z

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=2026-05-07T16:54:23.108142Z digest=sha256:edd146d1e4b6d20dbbf52d4b784ec8d0a61c6c6ebb7371eb6f6f0ffad9c3fe16

Observation d4980422-aaba-423f-8a2a-c00d56f982f0 · inbound

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

Head Forcing: Long Autoregressive Video Generation via Head Heterogeneity Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 52

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metadata mismatch
arxiv_id, observed 2026-05-15T02:33:32.264156Z

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=2026-05-15T02:31:48.593354Z digest=sha256:45e8670910de7faa402ad32065aec8d2407879eb9d371317aaba3fc5ecd65500

Observation 007b082c-3c63-4872-99d7-ab14f035742e · inbound

OmniMem: Scalable and Adaptive Memory Retrieval for Long Video Generation cites this paper.

OmniMem: Scalable and Adaptive Memory Retrieval for Long Video Generation Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 9

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verified exact
arxiv_id, observed 2026-06-29T08:03:14.485825Z

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=2026-06-29T07:56:40.001739Z digest=sha256:9ae71e93d2378611124049261a109b99d83d50eed74c7002776edea3055a7568

Observation a6dc219e-b016-4691-93c1-1586790ca6a8 · inbound

Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for Video Unified Models cites this paper.

Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for Video Unified Models Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:16:00.543053Z

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=2026-06-28T22:56:21.783415Z digest=sha256:68ba73c81180be5661326131781fff10446d833dd90d9d902f0cf39e6aa3fb5f

Observation e517b4e0-dba0-4f18-a000-163c857f7277 · inbound

Streaming Video Generation with Streaming Force Control cites this paper.

Streaming Video Generation with Streaming Force Control Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-07-02T17:07:12.425890Z

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=2026-06-27T22:14:32.465663Z digest=sha256:68d3fa42b435dd127999c5f8f0425094c8a0a359d199d4724ac6b109bcadaa32

Observation 4339dd7b-7c9d-463d-b2de-e6ea4fb0fd9c · inbound

Towards Error-Free Long Video Generation cites this paper.

Towards Error-Free Long Video Generation Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:59:42.135414Z

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=2026-06-26T10:49:36.838492Z digest=sha256:8428d6722def8de9f9b6c764fc5e1cb0c224ef53d33be651b9e931878b965b71

Observation 7624b5da-d2a8-474a-b6c4-83e8f3175c03 · inbound

Bridging Video Understanding and Generation in a Unified Framework cites this paper.

Bridging Video Understanding and Generation in a Unified Framework Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:05:40.345090Z

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=2026-07-01T05:57:54.653504Z digest=sha256:89e9058ef37537496a0a4f99157719cb566f00882674fa35098b07603c1b6d62

Observation d0ac97ba-c813-4b6a-9385-ec4ecb60ab98 · inbound

Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model cites this paper.

Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 20

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unresolved
no resolver link, observed 2026-07-12T01:59:48.820112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:59:48.820112Z digest=sha256:34c41fbd9c972e824f339fb287798340ad66dd4d973fbd84dce1f3e485e96afe

Observation 43049303-1777-48e5-a9e9-f660684b8476 · inbound

In-Context Forcing: Uncovering Context Effects in Autoregressive Video Diffusion cites this paper.

In-Context Forcing: Uncovering Context Effects in Autoregressive Video Diffusion Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 26

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unresolved
no resolver link, observed 2026-08-08T17:36:05.895482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:36:05.895482Z digest=sha256:cc716909b3ec37cc1102f7f617f5283f4b068cd3e87f8ba61fe3b71a17c7e42d