Paper Citation Record · LEDGER

VMoBA: Mixture-of-Block Attention for Video Diffusion Models

As of 7 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 13 inbound Pith citation observations for arXiv:2506.23858.

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

pith.paper-citation-record.v1
2506.23858 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:34:06.150538Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:38:17.198167Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:26:00.141144Z

Reference resolution

46 of 46 outbound references displayed

verified exact0
verified fuzzy27
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External citation measurements

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Outbound references

Observation 163c50c7-2877-44ef-83ea-14d62c507565 · outbound

This paper cites Zeroscope, 2023.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Zeroscope, 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:10.395569Z

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Observation ebcfd137-8e12-49e0-80c4-4f940a208b6d · outbound

This paper cites Sora: Creating video from text, 2024.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Sora: Creating video from text, 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:10.204211Z

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Observation 8e1ee300-f6f2-4203-a054-ca26dc29fd38 · outbound

This paper cites VideoCrafter1: Open Diffusion Models for High-Quality Video Generation.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Reference 3

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Observation 46fbe378-bbea-4889-a070-d4940cd91b6b · outbound

This paper cites VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:02.735411Z

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Observation 5657a026-3daa-42ca-8c9e-26fd506138a9 · outbound

This paper cites δ-dit: A training-free acceleration method tailored for diffusion transformers.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models δ-dit: A training-free acceleration method tailored for diffusion transformers

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:10.036464Z

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Observation 4d9a78ee-8258-46ff-9f7a-1fefd01ba49b · outbound

This paper cites Flashattention: Fast and memory- efficient exact attention with io-awareness.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Flashattention: Fast and memory- efficient exact attention with io-awareness

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:09.888341Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6810ec29-f10e-4b4a-a922-62b362804264 · outbound

This paper cites Transformers are ssms: generalized models and efficient algorithms through structured state space duality.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Transformers are ssms: generalized models and efficient algorithms through structured state space duality

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:09.683510Z

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Observation d79a1a0a-45c9-4ad2-80a6-89cc6eab6fde · outbound

This paper cites A Formal Evaluation of PSNR as Quality Measurement Parameter for Image Segmentation Algorithms.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models A Formal Evaluation of PSNR as Quality Measurement Parameter for Image Segmentation Algorithms

Reference 8

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Observation 0e8a709f-2132-4322-9fc4-33ba97f560f4 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:03.096725Z

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Observation fbeebd92-da39-482b-adc0-c7d6c0d29ebb · outbound

This paper cites Animatediff: Animate your personalized text-to-image diffusion models without specific tuning.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Animatediff: Animate your personalized text-to-image diffusion models without specific tuning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:09.452376Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0195dbdc-f909-40f5-abf5-08987c6e2fa3 · outbound

This paper cites Vbench: Comprehensive benchmark suite for video generative models.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Vbench: Comprehensive benchmark suite for video generative models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:09.349644Z

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Observation 619b0563-6804-4667-a731-180994a51ad1 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 12

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Observation c3774682-d0e5-43fd-b795-1b8bb3322619 · outbound

This paper cites Distrifusion: Distributed parallel inference for high-resolution diffusion models.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Distrifusion: Distributed parallel inference for high-resolution diffusion models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:09.129026Z

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Observation 013335a7-6544-4368-a95c-5734cb92e38c · outbound

This paper cites Timestep embedding tells: It’s time to cache for video diffusion model.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Timestep embedding tells: It’s time to cache for video diffusion model

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:08.964391Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2fd00f5e-c1a7-4dd5-b661-2ee7e4ea469a · outbound

This paper cites Pseudo numerical methods for diffusion models on manifolds.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Pseudo numerical methods for diffusion models on manifolds

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:08.817266Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a7616a58-d8ad-41f5-bf57-b31d9616471e · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:08.696736Z

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Observation 460321d8-9325-443e-8683-cb9f0b409192 · outbound

This paper cites Vmamba: Visual state space model.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Vmamba: Visual state space model

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:08.573646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2e955628-8c9c-4703-91fe-0deda3250e08 · outbound

This paper cites DPM-Solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models DPM-Solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:08.438291Z

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Observation ea9f900e-0c57-4bc1-95d6-546acd24160d · outbound

This paper cites MoBA: Mixture of Block Attention for Long-Context LLMs.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models MoBA: Mixture of Block Attention for Long-Context LLMs

Reference 19

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Observation 61477c5b-3822-4f3a-9642-6011a4c0f9ff · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:03.875666Z

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Observation 8684c3d9-a414-4118-8980-d6465aa3ee8c · outbound

This paper cites FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:03.953401Z

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Observation 86b3a651-a544-4d9d-aa77-09f46b2e833a · outbound

This paper cites Block-attention for efficient prefilling.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Block-attention for efficient prefilling

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:08.337203Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d32ff701-24f8-4739-8ba6-c9994d3d1103 · outbound

This paper cites DeepCache: Accelerating Diffusion Models for Free.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models DeepCache: Accelerating Diffusion Models for Free

Reference 23

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Observation a9c70c89-d927-4796-9950-b97821b21da3 · outbound

This paper cites Latte: Latent Diffusion Transformer for Video Generation.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Latte: Latent Diffusion Transformer for Video Generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:04.211624Z

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Observation 75f1c16e-2734-49f9-94db-a3d8021c59f1 · outbound

This paper cites Rwkv: Reinventing rnns for the transformer era.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Rwkv: Reinventing rnns for the transformer era

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:08.217169Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c22f48bc-1eb3-4aeb-b682-e5a2c78af252 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models High-resolution image synthesis with latent diffusion models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:08.083004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c8a15225-0d4b-4860-8909-d41b9bfbc366 · outbound

This paper cites Photorealistic text-to- image diffusion models with deep language understanding.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Photorealistic text-to- image diffusion models with deep language understanding

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:07.984882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ddb29e4e-aa0d-4cf0-b193-e218006bb652 · outbound

This paper cites Progressive distillation for fast sampling of diffusion models.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Progressive distillation for fast sampling of diffusion models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:07.872047Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9fa7a263-0493-4e60-a9c7-e5ae16f96f2b · outbound

This paper cites Denoising diffusion implicit models.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Denoising diffusion implicit models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:07.732554Z

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Observation 6688c3cd-7a32-4ae4-9819-622dd50660d4 · outbound

This paper cites Consistency models.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Consistency models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:07.633843Z

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Observation 00218178-8e86-47c1-9dd8-1fd1a44455b9 · outbound

This paper cites Attention is all you need.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Attention is all you need

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:07.480526Z

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Observation daff7c0e-d7e3-4f18-8453-93e2721ca019 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Wan: Open and Advanced Large-Scale Video Generative Models

Reference 32

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Observation 17f7f2af-7ba3-415a-84f0-f6c164e11758 · outbound

This paper cites LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity

Reference 33

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Observation b06dedd4-0840-490b-8a85-304337af33f9 · outbound

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

VMoBA: Mixture-of-Block Attention for Video Diffusion Models ModelScope Text-to-Video Technical Report

Reference 34

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Observation 129853d2-bb5f-4ba8-a073-702d828e4a1c · outbound

This paper cites Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content

Reference 35

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Observation ded9d47b-1003-450d-918f-a688db8224af · outbound

This paper cites LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:05.214900Z

Source-reported events for the cited work

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Observation bf59e288-1278-4493-969b-8c959b7228cc · outbound

This paper cites Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:05.295827Z

Source-reported events for the cited work

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Observation 67b4ef3d-6b55-42f1-b6df-59c0f0f4d6ce · outbound

This paper cites Cogvideox: Text-to-video diffusion models with an expert transformer.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Cogvideox: Text-to-video diffusion models with an expert transformer

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:07.362586Z

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Observation 42e91a0e-9344-4548-8880-ce589d6e286a · outbound

This paper cites Improved distribution matching distillation for fast image synthesis.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Improved distribution matching distillation for fast image synthesis

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:07.243765Z

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Observation 2cfeeb90-bf05-4489-ba74-a6fbbc1a13fe · outbound

This paper cites Mambaout: Do we really need mamba for vision? CoRR, 2024.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Mambaout: Do we really need mamba for vision? CoRR, 2024

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:07.097796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c3e25b87-d65c-4d24-a8a6-b0b9d6f0ac34 · outbound

This paper cites Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Reference 41

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Source-reported events for the cited work

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Observation dac166a3-2db9-4415-823e-bd304d3ce41c · outbound

This paper cites Ditfastattn: Attention compression for diffusion transformer models.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Ditfastattn: Attention compression for diffusion transformer models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:06.934153Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 34d28a9b-8876-4268-8de5-b8f1f30b48dc · outbound

This paper cites Spargeattn: Accurate sparse attention accelerating any model inference.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Spargeattn: Accurate sparse attention accelerating any model inference

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:05.869527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fc50176-771a-4196-a4a2-7204a6a73d0c · outbound

This paper cites Fast Video Generation with Sliding Tile Attention.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Fast Video Generation with Sliding Tile Attention

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:05.955036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b334b31-e573-4ad3-9c18-d0c667218708 · outbound

This paper cites Real-time video generation with pyramid attention broadcast.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models Real-time video generation with pyramid attention broadcast

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:06.783630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9a3df036-f612-40e8-9cc1-0f03ff7207a2 · outbound

This paper cites The 1-2-3D block numbers of VMoBA are 10, 48, and 60.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models The 1-2-3D block numbers of VMoBA are 10, 48, and 60

Reference 512

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:06.653845Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

Observation 08b3a87a-5a70-4770-9feb-f7ed4ef6c5e9 · inbound

End-to-End Training for Autoregressive Video Diffusion via Self-Resampling cites this paper.

End-to-End Training for Autoregressive Video Diffusion via Self-Resampling VMoBA: Mixture-of-Block Attention for Video Diffusion Models

Reference 69

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Observation 866ffe94-0c5a-40de-8302-36b2bc19ffb7 · inbound

Trainable Log-linear Sparse Attention for Efficient Diffusion Transformers cites this paper.

Trainable Log-linear Sparse Attention for Efficient Diffusion Transformers VMoBA: Mixture-of-Block Attention for Video Diffusion Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T15:35:16.608595Z

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Observation 3ecbcfc7-6087-484d-a551-90cf0fa0094d · inbound

Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention cites this paper.

Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention VMoBA: Mixture-of-Block Attention for Video Diffusion Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T04:33:11.297686Z

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Observation 96e3589f-0edb-4127-9ac4-b5e59181faf8 · inbound

Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention cites this paper.

Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention VMoBA: Mixture-of-Block Attention for Video Diffusion Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T00:38:17.198167Z

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Observation 7fb76dc7-8d86-4e4e-8926-f0db39eff0ed · inbound

SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing cites this paper.

SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing VMoBA: Mixture-of-Block Attention for Video Diffusion Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-15T12:20:51.326210Z

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Observation 5ef6bf7b-3753-41e1-a351-2c1f89911bd2 · inbound

Attention Sparsity is Input-Stable: Training-Free Sparse Attention for Video Generation via Offline Sparsity Profiling and Online QK Co-Clustering cites this paper.

Attention Sparsity is Input-Stable: Training-Free Sparse Attention for Video Generation via Offline Sparsity Profiling and Online QK Co-Clustering VMoBA: Mixture-of-Block Attention for Video Diffusion Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:59:53.161464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9b2d6c01-9538-41fc-a77f-fedeabaa37c8 · inbound

Rethinking Position Embedding as a Context Controller for Multi-Reference and Multi-Shot Video Generation cites this paper.

Rethinking Position Embedding as a Context Controller for Multi-Reference and Multi-Shot Video Generation VMoBA: Mixture-of-Block Attention for Video Diffusion Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-13T12:23:05.876881Z

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Observation e88d4521-691e-437d-8dad-4a37325b0fc1 · inbound

Ride the Wave: Precision-Allocated Sparse Attention for Smooth Video Generation cites this paper.

Ride the Wave: Precision-Allocated Sparse Attention for Smooth Video Generation VMoBA: Mixture-of-Block Attention for Video Diffusion Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:46:02.450310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0308f0f6-c276-4cb3-9e70-bcfcf18b8ce4 · inbound

Efficient Video Diffusion Models: Advancements and Challenges cites this paper.

Efficient Video Diffusion Models: Advancements and Challenges VMoBA: Mixture-of-Block Attention for Video Diffusion Models

Reference 148

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:03:25.899156Z

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Observation 2a89e8e0-840b-458c-8dce-7c9949e7981f · inbound

HASTE: Training-Free Video Diffusion Acceleration via Head-Wise Adaptive Sparse Attention cites this paper.

HASTE: Training-Free Video Diffusion Acceleration via Head-Wise Adaptive Sparse Attention VMoBA: Mixture-of-Block Attention for Video Diffusion Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:19:46.221326Z

Source-reported events for the cited work

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Observation b46bc2f4-ae15-4caf-9bfa-dea0b71411d8 · inbound

Veda: Scalable Video Diffusion via Distilled Sparse Attention cites this paper.

Veda: Scalable Video Diffusion via Distilled Sparse Attention VMoBA: Mixture-of-Block Attention for Video Diffusion Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:14.712012Z

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Observation dab162e8-2e0b-40da-a987-97270d778976 · inbound

Light Interaction: Training-Free Inference Acceleration for Interactive Video World Models cites this paper.

Light Interaction: Training-Free Inference Acceleration for Interactive Video World Models VMoBA: Mixture-of-Block Attention for Video Diffusion Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:26:00.142652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7f634608-880a-4d02-b295-6ed5f131e32f · inbound

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers cites this paper.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers VMoBA: Mixture-of-Block Attention for Video Diffusion Models

Reference 88

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:08.239355Z

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