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Paper Citation Record · LEDGER

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

As of 10 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 65 inbound Pith citation observations for arXiv:2502.01776.

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

pith.paper-citation-record.v1
2502.01776 v2

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:35:10.707673Z

measured 136 of 136 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 65 of 65 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:45:11.296944Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:49:44.815320Z

Reference resolution

71 of 71 outbound references displayed

  • verified exact2
  • verified fuzzy22
  • unresolved47
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 64c08113-569a-41c4-8077-821c6f92b04d · outbound

This paper cites Vivit: A video vision transformer.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Vivit: A video vision transformer

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-09T14:35:12.052716Z

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=2026-08-09T14:35:10.400597Z digest=sha256:4852127c7b668e169e4e8f33f6a9109899b64a9093130e2e6c609950f317c5ef

Observation 1239322d-3d74-46fa-9bf6-cfec7a595b5e · outbound

This paper cites Efficientvit: Lightweight multi-scale attention for high-resolution dense prediction.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Efficientvit: Lightweight multi-scale attention for high-resolution dense prediction

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-09T14:35:12.038205Z

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=2026-08-09T14:35:10.405349Z digest=sha256:a1f93a15910b477fed1c54f6b9b6b97f97731f82e81700ec00aef744e8eb4b16

Observation 653a7eef-abd8-48d7-b1f9-8ace9835ffeb · outbound

This paper cites Condition-aware neural network for controlled image generation.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Condition-aware neural network for controlled image generation

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-09T14:35:12.022339Z

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=2026-08-09T14:35:10.410009Z digest=sha256:696cb426a8655896f389d471eabedc98f8c10bca356f5f6b9839c18579e9e63b

Observation fbcc3c14-5c10-451d-9f2d-1e0a95cb4718 · outbound

This paper cites Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models

Reference 4

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no resolver link, observed 2026-08-09T14:35:10.414430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.414430Z digest=sha256:29d17580e5a7829ae6850d975c3f9e66f3b3ab11d20209465225d852651312ac

Observation 0749b57f-061e-4a4f-a8bb-befaf8380df3 · outbound

This paper cites Pixart-sigma: Weak-to-strong training of diffusion transformer for 4k text-to-image generation.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Pixart-sigma: Weak-to-strong training of diffusion transformer for 4k text-to-image generation

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-09T14:35:12.008132Z

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=2026-08-09T14:35:10.419083Z digest=sha256:5ef77d71cbc870357c8bc4a837b90067538fe6d38053841c8002f172219f25a6

Observation db95ab49-8eaa-4020-b584-c102977fd18f · outbound

This paper cites $\Delta$-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity $\Delta$-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers

Reference 6

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no resolver link, observed 2026-08-09T14:35:10.423423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.423423Z digest=sha256:be7aa204a9b268a9d693cf93494c86a66c6107d1a2fb148553373221463abdfc

Observation fbd9c6d6-09b6-40e7-abd3-55df14e4e780 · outbound

This paper cites Rethinking Attention with Performers.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Rethinking Attention with Performers

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.428626Z digest=sha256:a0f0535df6bd24bbd0db5c026ea357710a43ddda4ac92d0fdcfc1c4db7b38f49

Observation bd97d16f-5280-448a-95c4-483678caf532 · outbound

This paper cites Learning fast algorithms for linear transforms using butterfly factorizations.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Learning fast algorithms for linear transforms using butterfly factorizations

Reference 8

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raw_fallback, observed 2026-08-09T14:35:11.993960Z

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=2026-08-09T14:35:10.433069Z digest=sha256:5b549e47a541b7e2ecb7e79c236ef90ac526d0c947733da7b80e835d308fb87c

Observation 56cc4516-3c64-47ca-b8ab-55e24a3e73b7 · outbound

This paper cites FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.437142Z digest=sha256:633cfb55b7046ecc69c5d6822349e76a4ad4fb970ce8baf71b2fc7ae823ede71

Observation 7940b615-3791-4aef-a09e-2d3274149306 · outbound

This paper cites J., and Zhang, X.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity J., and Zhang, X

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-09T14:35:11.979946Z

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=2026-08-09T14:35:10.441842Z digest=sha256:ab9a6d75451baad08c28808f689fe384cced2e4563a3a917c45255058b866038

Observation be0ce97c-2c41-491f-87e7-df2356fc4d3c · outbound

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

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Animatediff: Animate your personalized text-to-image diffusion models without specific tuning

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-09T14:35:11.965544Z

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=2026-08-09T14:35:10.446267Z digest=sha256:1a004b20c9c4c42c6d155f97d0bc9773830b8d9d7188e08898684819c9af2971

Observation 6afc8d7c-dbe0-460f-a695-dfda2b3c5830 · outbound

This paper cites LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.450502Z digest=sha256:410765b0533487f5920f43a1ed73fdc0db37cf7d0f8721aaf38aadf2ca5b93e3

Observation dc75dd23-953d-4e9d-9125-4ea62f6be259 · outbound

This paper cites Denoising diffusion probabilistic models.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Denoising diffusion probabilistic models

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.455002Z digest=sha256:091c5be4cd58519cfb29b291d64f417afc29f5798676d19514b2e2a0073f2dff

Observation 1408dd31-3412-4fdc-9069-4c9d3ddf440a · outbound

This paper cites Cogvideo: Large-scale pretraining for text-to-video generation via transformers.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Cogvideo: Large-scale pretraining for text-to-video generation via transformers

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-09T14:35:11.942103Z

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=2026-08-09T14:35:10.459236Z digest=sha256:2ed8b0b66fa10d72c8004348ca6a6555c791e7b4598ceab8f38f98d4b3413235

Observation c55e4273-df53-4f7a-abfd-85940d5bc0a3 · outbound

This paper cites and Ziou, D.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity and Ziou, D

Reference 15

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no resolver link, observed 2026-08-09T14:35:10.463385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.463385Z digest=sha256:f68aaabbaf9f6d1c3117686a76e500b131fc1917b9d783bbe16268b7d2f83ea6

Observation 3ed40a54-c4f0-4168-9c20-bdaac8171774 · outbound

This paper cites VBench: Comprehensive Benchmark Suite for Video Generative Models.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity VBench: Comprehensive Benchmark Suite for Video Generative Models

Reference 16

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no resolver link, observed 2026-08-09T14:35:10.467966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.467966Z digest=sha256:5c8962a96fdb0f7b1cb904f749b015f138b64b83a357fb53874bb7c5f5b7025f

Observation cd041ad0-0ee2-45fc-9301-b0f8a83ec79d · outbound

This paper cites MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.472320Z digest=sha256:25fc44a258a49ab4e2970796a870fb520e0923d7c41ae0150d3919909f197419

Observation 6846e508-5e6c-4ea9-ade7-cb896d39a758 · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 18

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no resolver link, observed 2026-08-09T14:35:10.476898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.476898Z digest=sha256:1179e64c5d2356f1525f851abd54de7b4090e80b2449c9b959cec84f433a05da

Observation 9553d3cd-8ef8-45cf-b906-7b61c4e7a636 · outbound

This paper cites StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation

Reference 19

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no resolver link, observed 2026-08-09T14:35:10.481230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.481230Z digest=sha256:575bd6753d53cfcab5749526d3ec11743ded71c9520beec5f20632aeaab1caec

Observation 6a5a9613-e8a3-40f8-add5-05f10e4c8465 · outbound

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

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 20

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no resolver link, observed 2026-08-09T14:35:10.485622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.485622Z digest=sha256:eae20d42e635ba9ceb5a06c8c169f0b7ca3c457046e85ea626ac046abec07a78

Observation fe4b1987-9a3c-4954-894f-3be11272fa22 · outbound

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

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Distrifusion: Distributed parallel inference for high-resolution diffusion models

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:35:11.918311Z

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=2026-08-09T14:35:10.489998Z digest=sha256:9ef446bb72587e8f24fb759b801f419a6eebaaecfc16aaca10fa187c867a0795

Observation c4ffc882-7c80-4f7d-95c5-d2dc065117b4 · outbound

This paper cites Svdquant: Absorbing outliers by low-rank components for 4-bit diffusion models.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Svdquant: Absorbing outliers by low-rank components for 4-bit diffusion models

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-09T14:35:11.904119Z

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=2026-08-09T14:35:10.494219Z digest=sha256:bf42df0f2f75ef4be74c1521f66783d7f4d7951d7df8d463ed181f714a44f6d6

Observation f90ad5c5-ff4e-46e9-8ec6-50d998706563 · outbound

This paper cites Q-diffusion: Quantizing diffusion models.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Q-diffusion: Quantizing diffusion models

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:35:11.890408Z

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=2026-08-09T14:35:10.498423Z digest=sha256:ddf9cbf532d06c9c9e033d86bf8e1fbc464343de175fbff3246060b8279ba104

Observation 2676df55-5473-431b-86d0-a84c9306722c · outbound

This paper cites MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.502622Z digest=sha256:25704ffe58c7c2f64bae429a0be98013560c3bd9beea3660884d2fb6a9378598

Observation c2213898-ce79-40bb-bfaf-eaf5baf0b235 · outbound

This paper cites Looking Backward: Streaming Video-to-Video Translation with Feature Banks.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Looking Backward: Streaming Video-to-Video Translation with Feature Banks

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.507059Z digest=sha256:149aaa34a93af1f924c01a48b9b5068ab7e78d95c10fe0a74d057624b19e5684

Observation 63e184d8-eab0-4bb3-99e9-24c9409942c3 · outbound

This paper cites Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 26

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no resolver link, observed 2026-08-09T14:35:10.511735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.511735Z digest=sha256:3c433cac11cb9b9f2a2f89e04cc5e73580d439702b2b38e04cc8f8f89dc2592d

Observation e184dcdd-2278-4697-a129-9408c1a4d8e9 · outbound

This paper cites World model on million-length video and language with ringattention.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity World model on million-length video and language with ringattention

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-09T14:35:11.876738Z

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=2026-08-09T14:35:10.516381Z digest=sha256:dafe9aa407ac24a96a9bb5b4d98564eac092ab6dad1984b4aba70609d3d0a3e7

Observation d6041352-3b72-4494-8528-d46cea195395 · outbound

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

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 28

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no resolver link, observed 2026-08-09T14:35:10.520415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.520415Z digest=sha256:25cadb06673432829f74707acbecd425ccc2eddcf0118faee272f74751be1635

Observation 942776ef-3b45-44fd-86e9-69083e2659d4 · outbound

This paper cites Instaflow: One step is enough for high-quality diffusion-based text-to-image generation.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Instaflow: One step is enough for high-quality diffusion-based text-to-image generation

Reference 29

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raw_fallback, observed 2026-08-09T14:35:11.861522Z

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=2026-08-09T14:35:10.524854Z digest=sha256:7077549df5bc10cfadb22ca91fcd86efebaa91d47a7a2644a0f9c8a7d6663ef6

Observation c1227991-1569-420b-97e9-bd172a54664d · outbound

This paper cites Scissorhands: Exploiting the persistence of importance hypothesis for llm kv cache compression at test time.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Scissorhands: Exploiting the persistence of importance hypothesis for llm kv cache compression at test time

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-09T14:35:11.845703Z

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=2026-08-09T14:35:10.528939Z digest=sha256:a8723cb00d7f9dbe10b9330048baedfe3756c46fdf6c4919d6a83cc85db924b7

Observation 5b32ecea-b2ba-45be-a2a9-cef03d838ebe · outbound

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

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-09T14:35:11.831483Z

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=2026-08-09T14:35:10.532860Z digest=sha256:b3fb77bf46ed2f48df38b6ebd41ae1b2541dddd1f527eaed234dcde027d025e0

Observation ad298745-1c44-4ab0-91d5-71e2e9ec3f70 · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 32

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no resolver link, observed 2026-08-09T14:35:10.536888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.536888Z digest=sha256:05144fe864fa9b0c0ea19d881034b7750562800050255c9c8bf6e6ed1f36f32f

Observation 918fab8a-0e0d-47fb-a163-864dfb3874a6 · outbound

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

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.541246Z digest=sha256:f46bbab229cb458055c69c9ceadbc2041b38a8f09f6bf17b7a345c84e5dc7d42

Observation 6e8312db-b56e-4ebd-9aa5-4c8384775ef5 · outbound

This paper cites an unresolved cited work.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Unresolved cited work

Reference 34

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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=2026-08-09T14:35:10.545495Z digest=sha256:7d8b9c9298b88e0f8f10827b8e33c8dfe24c499c774c1cb69a89b5166a6229e1

Observation b4a7a82d-6f0f-45e2-a0f8-77339c8fa532 · outbound

This paper cites Deepcache: Accelerating diffusion models for free.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Deepcache: Accelerating diffusion models for free

Reference 35

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raw_fallback, observed 2026-08-09T14:35:11.802914Z

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=2026-08-09T14:35:10.549647Z digest=sha256:efb2dee7f65fe65b6cad6fb91c4185ec75263cc01628803fd5e3eaec6ce4d391

Observation 185ba687-b17e-4c2b-881f-98eee694e6df · outbound

This paper cites SDE dit: Guided image synthesis and editing with stochastic differential equations.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity SDE dit: Guided image synthesis and editing with stochastic differential equations

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-09T14:35:11.788588Z

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

source=arxiv_source observed=2026-08-09T14:35:10.553693Z digest=sha256:ee8e3925184d31e315e24a481af9d41f71362a1ab28044e284a7cc09d10ac530

Observation 92a21a64-a7ff-49d6-8bfb-4e1f3bbc59a5 · outbound

This paper cites and Xie, S.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity and Xie, S

Reference 37

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source=arxiv_source observed=2026-08-09T14:35:10.557648Z digest=sha256:62a101451d900db6f78e840c5c27aa6c08194b08716f595371c2453e68bd3489

Observation bcc70621-8882-4b7b-841e-bdbfb7b75196 · outbound

This paper cites LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding

Reference 38

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source=arxiv_source observed=2026-08-09T14:35:10.561764Z digest=sha256:9c49ad10800b3c9ba834909fdeff6d44b2c4cada31336329807d974502fb6aec

Observation 770b6f5a-c98b-4b0e-a26f-ee7c029ed606 · outbound

This paper cites Denoising diffusion implicit models.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Denoising diffusion implicit models

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-09T14:35:11.766013Z

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=2026-08-09T14:35:10.566100Z digest=sha256:b58bdc11c8f8242113a350f6621f5ba338615e00e086086e799b2e18f3b3fbec

Observation 0c3c93b7-a4c6-4908-9b66-002c2478a4ee · outbound

This paper cites and Ermon, S.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity and Ermon, S

Reference 40

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source=arxiv_source observed=2026-08-09T14:35:10.570139Z digest=sha256:df73ece92aff036dc77072f0f00941e1629f572a02d29f89af0b60c9045f0868

Observation c7f5da32-d8c6-4dd4-b4a6-656a836f83ed · outbound

This paper cites Consistency models.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Consistency models

Reference 41

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source=arxiv_source observed=2026-08-09T14:35:10.574246Z digest=sha256:1716703e869ea4aedbe65d3d213790edbc89bddb1c7397fe89a8a098e4280b36

Observation 6a3f4b03-3f62-4b49-a654-dd4d3dab1e07 · outbound

This paper cites AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models

Reference 42

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source=arxiv_source observed=2026-08-09T14:35:10.578399Z digest=sha256:3375f43c8fb905744cee81626c61e6341012bbe591bb7eedd59c14e9ade62519

Observation 3c96c00c-118e-4a65-8471-bbc61162ec7e · outbound

This paper cites Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference

Reference 43

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source=arxiv_source observed=2026-08-09T14:35:10.583214Z digest=sha256:ceb30412d423c910e020475ad719d6828ea624e9c81b4f7535206337525845d2

Observation c63b42de-c093-4d62-a185-73c12c6a6cd8 · outbound

This paper cites an unresolved cited work.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Unresolved cited work

Reference 44

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no resolver link, observed 2026-08-09T14:35:10.587706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.587706Z digest=sha256:1b513e6e12ab54091fe32a2a10fe7f2aa484ab2237a89464e4c3fb0f901a4777

Observation c236b263-07e4-4530-9cc3-613dd798d544 · outbound

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

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Wan: Open and Advanced Large-Scale Video Generative Models

Reference 45

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no resolver link, observed 2026-08-09T14:35:10.591901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.591901Z digest=sha256:556d78bd14ebf7b6b922522b877894e0c73254643b0ab7279c27839e7ca5d72f

Observation 6b69baac-df58-4fd1-b00e-d9a47541b824 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Linformer: Self-Attention with Linear Complexity

Reference 46

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no resolver link, observed 2026-08-09T14:35:10.596281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.596281Z digest=sha256:3c643184e7eadf3bbe82d6206e3e3c7c7b7d99a10f03a953d68a8af0feb43bcc

Observation 037a8f4d-a0a2-4430-9819-cc354bc684e0 · outbound

This paper cites DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads

Reference 48

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no resolver link, observed 2026-08-09T14:35:10.604722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.604722Z digest=sha256:0cd03c2de27abf615e0c4e8aab0be015770a6fe85c63d1ddda936c07c8eb44ec

Observation a78ba5c5-3977-4caf-8009-47cfb7fdb361 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Efficient Streaming Language Models with Attention Sinks

Reference 49

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no resolver link, observed 2026-08-09T14:35:10.608973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.608973Z digest=sha256:d26bbe1dd945f790bd48ed9cfd8fdcada64f1e590f36574805bdf2830a2d0d07

Observation 3935e04b-58fe-40c2-86db-b89a76aca4e2 · outbound

This paper cites SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

Reference 50

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no resolver link, observed 2026-08-09T14:35:10.612976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.612976Z digest=sha256:3dab22c2236e2401d0ac2c6999a04547b4ed84c311f4e546045bbaff2db97f0d

Observation 6312eccf-126e-4ff2-a4b7-7eb7dc470a91 · outbound

This paper cites XAttention: Block Sparse Attention with Antidiagonal Scoring.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity XAttention: Block Sparse Attention with Antidiagonal Scoring

Reference 51

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no resolver link, observed 2026-08-09T14:35:10.617359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.617359Z digest=sha256:f28cc06630cf03dcf56862215ee92b6a68ebcb824092fe9f707d51c45ba75b99

Observation 1c1f235a-f392-4caa-9449-c6603fb66594 · outbound

This paper cites TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention

Reference 52

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no resolver link, observed 2026-08-09T14:35:10.621827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.621827Z digest=sha256:f249e5942d7451d26609e2b4458cea8639dc7834179923790035b85fe1865505

Observation 3a65e566-1065-4199-b68d-008a03315795 · outbound

This paper cites Post-Training Sparse Attention with Double Sparsity.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Post-Training Sparse Attention with Double Sparsity

Reference 53

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no resolver link, observed 2026-08-09T14:35:10.626233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.626233Z digest=sha256:193521f7308666c6531540d61422c3e96929fcba2963083ea26e39ada168b2ac

Observation 822b0ac8-b241-4f8e-8be1-4ac1770026ea · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 54

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no resolver link, observed 2026-08-09T14:35:10.630494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.630494Z digest=sha256:1949827f19365eb00bbaa2dd0e08fb8a1d01ac3d4399c12132cf19dd9963ec7c

Observation dcaabfb5-ae5b-4fa3-a16a-f4a9a216905c · outbound

This paper cites SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning

Reference 55

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verified exact
local_arxiv, observed 2026-08-09T14:35:11.268172Z

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=2026-08-09T14:35:10.634908Z digest=sha256:37991b1f1880d132fed746af841527da00a7e935ba2e577da0f9cdd681f1fdee

Observation 5ad4b3cb-c827-4629-8f5c-1b2efe4464ef · outbound

This paper cites FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving

Reference 56

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no resolver link, observed 2026-08-09T14:35:10.639239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.639239Z digest=sha256:db9005287e5e60c4a9154f9ea001c318025a125ed8566979aac675b60f6b87ea

Observation 229bafaa-2b98-4c71-8bb5-c88cbc50d78a · outbound

This paper cites Improved Distribution Matching Distillation for Fast Image Synthesis.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Improved Distribution Matching Distillation for Fast Image Synthesis

Reference 57

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no resolver link, observed 2026-08-09T14:35:10.643588Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-09T14:35:10.643588Z digest=sha256:0db6e3b1008bd81e91eacd94fe0e15ec5220adfa01a058ea13cadec3dcafb558

Observation 8b8be848-fd81-4c7f-89ef-d97f3b89d370 · outbound

This paper cites T., and Park, T.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity T., and Park, T

Reference 58

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source=arxiv_source observed=2026-08-09T14:35:10.647847Z digest=sha256:3c2e64331b112f37230b8360d29fcccea5ee76c38429a516ad43e36e392f5b67

Observation e26ed329-929d-4fb4-adf1-1ed5d9b74290 · outbound

This paper cites Metaformer is actually what you need for vision.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Metaformer is actually what you need for vision

Reference 59

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no resolver link, observed 2026-08-09T14:35:10.652411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.652411Z digest=sha256:66a8a72a078818ea8e1f41513ea9172be352093e5de6bc3594308380f2f4709a

Observation 3fc96d14-e17a-4868-956e-0a68bd083f52 · outbound

This paper cites DiTFastAttn: Attention Compression for Diffusion Transformer Models.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity DiTFastAttn: Attention Compression for Diffusion Transformer Models

Reference 60

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no resolver link, observed 2026-08-09T14:35:10.656633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.656633Z digest=sha256:3e55239ed9061d9ee3b36bc1356c83b271ecf53593936d5a34cd52fcd6fd69fd

Observation 3185ecba-cee6-43f6-80c2-7203dd6df08d · outbound

This paper cites P., Jampani, V., Sun, D., and Yang, M.-H.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity P., Jampani, V., Sun, D., and Yang, M.-H

Reference 61

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verified fuzzy
raw_fallback, observed 2026-08-09T14:35:11.708764Z

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=2026-08-09T14:35:10.660922Z digest=sha256:605cbe2753242bfcdd317bb8e03b474b3d2beda3bc746d3da6ddfd5e6c3a3e38

Observation 30bb9c35-e5b1-4e07-b79f-2aa13f2e0a54 · outbound

This paper cites Sageattention2: Efficient attention with thorough outlier smoothing and per-thread int4 quantization, 2024.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Sageattention2: Efficient attention with thorough outlier smoothing and per-thread int4 quantization, 2024

Reference 62

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no resolver link, observed 2026-08-09T14:35:10.665175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.665175Z digest=sha256:ae541365935f2d773843112444c83fc5ecdd9bff70de9a99fd1d0915916ce1fe

Observation 5a1a2438-a6e0-474c-9e6d-6e00c78a1d08 · outbound

This paper cites Sageattention: Accurate 8-bit attention for plug-and-play inference acceleration.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Sageattention: Accurate 8-bit attention for plug-and-play inference acceleration

Reference 63

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verified fuzzy
raw_fallback, observed 2026-08-09T14:35:11.694887Z

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=2026-08-09T14:35:10.669290Z digest=sha256:78a725e1f2a3fee7a331bb3e2d30f01ad03cb49a01362ce061c6d7fd295c2478

Observation 085d6e35-f4b5-497e-82e9-d20780ae7208 · outbound

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

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Spargeattn: Accurate sparse attention accelerating any model inference

Reference 64

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unresolved
no resolver link, observed 2026-08-09T14:35:10.673385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.673385Z digest=sha256:9cf747e9939f493d692aaccd7210db78afc5104ab0397217d70c191a4e0a163f

Observation a04e3274-0c66-45f4-933c-13d5e8ea6f21 · outbound

This paper cites A., Shechtman, E., and Wang, O.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity A., Shechtman, E., and Wang, O

Reference 65

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no resolver link, observed 2026-08-09T14:35:10.677519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.677519Z digest=sha256:02cf80ede87f0c9f6f65502ad5d561e59d50b7aac47da3ecaf0da72d2105724b

Observation 3fe945a9-7ec6-4800-a241-5125d9efe6a1 · outbound

This paper cites H2o: Heavy-hitter oracle for efficient generative inference of large language models.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity H2o: Heavy-hitter oracle for efficient generative inference of large language models

Reference 66

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verified fuzzy
raw_fallback, observed 2026-08-09T14:35:11.672309Z

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=2026-08-09T14:35:10.681700Z digest=sha256:74beb1eb0d475309c0dda1e6caab91c0995cbfeded329fc1d4de536394a8598a

Observation 7b0c288f-7d89-415b-8072-19cf2c1705af · outbound

This paper cites H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models

Reference 67

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unresolved
no resolver link, observed 2026-08-09T14:35:10.685957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.685957Z digest=sha256:e580a4c372e16251577b12cb3b4c92e64d394a930f2dba18bc4d08a63da044ba

Observation d54927b3-bdd1-42a5-85cc-fb8b08cd906d · outbound

This paper cites ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 68

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no resolver link, observed 2026-08-09T14:35:10.690473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.690473Z digest=sha256:2b6a91e6be3a22839820985ba61c7dfc46b267443e4abea39481aface17a8ad6

Observation ab7559ef-dab5-4f84-a086-e5305e5ff3ba · outbound

This paper cites Real-Time Video Generation with Pyramid Attention Broadcast.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Real-Time Video Generation with Pyramid Attention Broadcast

Reference 69

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no resolver link, observed 2026-08-09T14:35:10.694822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:35:10.694822Z digest=sha256:6332f9d4ae2c25d8db9da33aa599fbd6ec774df8ae566574aeb1ebaa404cc534

Observation d96f1682-3934-4707-8d63-810069de4605 · outbound

This paper cites Atom: Low-bit quantization for efficient and accurate llm serving.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Atom: Low-bit quantization for efficient and accurate llm serving

Reference 70

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verified fuzzy
raw_fallback, observed 2026-08-09T14:35:11.657809Z

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=2026-08-09T14:35:10.699192Z digest=sha256:7043a745251a4163f47bd96ff92d81c3017a9c10d8222cbcc7d719306a2150cc

Observation 4f3da14a-5d25-4838-8f36-a5e354cf739e · outbound

This paper cites PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation

Reference 71

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verified exact
local_arxiv, observed 2026-08-09T14:35:10.761998Z

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=2026-08-09T14:35:10.703355Z digest=sha256:eb08b0717f1c67d44e2ab3102fae83bf78c21b36cdadef8f5b18afef559a1b7b

Observation 2b89fd62-6c36-4fd9-9b24-3cb4be2f45c9 · outbound

This paper cites write newline.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity write newline

Reference 72

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source=arxiv_source observed=2026-08-09T14:35:10.707673Z digest=sha256:b4b4462f40118ce71899c3ff6e76f148c6e21e61418b9ffa6d34eec705818eee

Pith citing papers

Observation 28a836d7-a604-44bd-b446-d255f7676526 · inbound

RainFusion: Adaptive Video Generation Acceleration via Multi-Dimensional Visual Redundancy cites this paper.

RainFusion: Adaptive Video Generation Acceleration via Multi-Dimensional Visual Redundancy Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 38

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source=pdf_text observed=2026-08-07T13:45:11.296944Z digest=sha256:2d1c7c7e6d836efb193ad5a304ebf8cc17837d24a0e34cfda97872bf3caf101c

Observation e310da7f-e507-47da-9b95-4f8ec4dc6b43 · inbound

SageAttention2++: A More Efficient Implementation of SageAttention2 cites this paper.

SageAttention2++: A More Efficient Implementation of SageAttention2 Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 2023

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source=pdf_text observed=2026-08-07T13:44:50.914597Z digest=sha256:cdb787c37a7a675024cdeabc8bf4d7bd3439725c3e4bf288cac610134e2bd863

Observation e7e096eb-6989-47c4-b97d-ae330f0af6cf · inbound

Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers cites this paper.

Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 38

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source=pdf_text observed=2026-08-07T11:15:17.692975Z digest=sha256:b9e288383f5d4613a434b654125f6aec8670f7470ada0cbe5cf3b977fdd00038

Observation 8888815c-1f7c-436d-bf57-7b8b239f0207 · inbound

Dual-Expert Consistency Model for Efficient and High-Quality Video Generation cites this paper.

Dual-Expert Consistency Model for Efficient and High-Quality Video Generation Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 60

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source=pdf_text observed=2026-08-07T11:14:09.579398Z digest=sha256:4d90b9ff21f7cd07d02054fd2f6c7069baa3c602ebbf3d809296afbb5d131e7f

Observation 0f8e8662-d508-44ac-99ac-8055f127d9e2 · inbound

Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas cites this paper.

Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 51

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source=pdf_text observed=2026-08-07T11:18:58.832753Z digest=sha256:08a462d2145d9a257790f09eacce7ed52e1bb5a60a1d615f236e7d008c6c786f

Observation eb3176f0-b26e-4050-811a-2033d5ee0502 · inbound

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models cites this paper.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 46

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source=pdf_text observed=2026-08-06T23:51:05.488394Z digest=sha256:9c12bf9c52d0b8d5a8351cacbd4f5560cbf185876c15fd932ee8d61be82fb400

Observation 717e076e-05f6-4bc1-a421-d25a846e2616 · inbound

TurboVSR: Fantastic Video Upscalers and Where to Find Them cites this paper.

TurboVSR: Fantastic Video Upscalers and Where to Find Them Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 56

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source=pdf_text observed=2026-08-06T21:41:37.039836Z digest=sha256:b8deb03840b8ce77eaddfc9542c10c238444ea9ad02eaf1e935f40cc4db80196

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

VMoBA: Mixture-of-Block Attention for Video Diffusion Models cites this paper.

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

Reference 37

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source=pdf_text observed=2026-08-06T21:34:05.295827Z digest=sha256:7219a4a57080299c00458921cb5ae82ce61369226863b083e762c3c681ac2e70

Observation 44e63883-ca03-4026-8c47-1279fea49fa5 · inbound

FreeLong++: Training-Free Long Video Generation via Multi-band SpectralFusion cites this paper.

FreeLong++: Training-Free Long Video Generation via Multi-band SpectralFusion Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 55

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source=pdf_text observed=2026-08-06T21:28:21.806986Z digest=sha256:8334bac5f4807f5ff42efa65a315f1527c67488441babf5246656a31e9a4c6aa

Observation 488f357b-a0cb-44cb-a952-f1d1a14d6909 · inbound

NABLA: Neighborhood Adaptive Block-Level Attention cites this paper.

NABLA: Neighborhood Adaptive Block-Level Attention Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 26

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source=pdf_text observed=2026-08-06T16:26:45.392305Z digest=sha256:54696362ff510050505ad3b729b623b6b22e69601dd2d73ec989be3f668f787c

Observation 12b00058-715c-45e1-8ef1-64774960aa2a · inbound

Waver: Wave Your Way to Lifelike Video Generation cites this paper.

Waver: Wave Your Way to Lifelike Video Generation Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 20

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no resolver link, observed 2026-08-05T17:45:18.378641Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T17:45:18.378641Z digest=sha256:35e95c6b6099082bf3858c5041a3a6c3b29639a811dc74dfa720ac68e3b2b183

Observation 2ffb7943-4b97-4d80-80f5-79b3fd6fc82c · inbound

OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models cites this paper.

OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 55

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:42:59.370738Z digest=sha256:31972bdb0686cb5eb42e8deea02e76f66d2a0d280860925abf4f973aff7084af

Observation a0c6e77e-7b67-44f3-8d44-0d7380e0be90 · inbound

FG-Attn: Leveraging Fine-Grained Sparse Attention in Video Diffusion Models cites this paper.

FG-Attn: Leveraging Fine-Grained Sparse Attention in Video Diffusion Models Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 13

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no resolver link, observed 2026-08-04T16:07:02.071295Z

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source=pdf_text observed=2026-08-04T16:07:02.071295Z digest=sha256:e5ac923e33f0fccaa49b17d2b1bf5e7d81411ec904023301823e9e0cf375cbfc

Observation 5f5d2aef-9f1a-4560-b2ab-e7ddb075913f · inbound

Towards Redundancy Reduction in Diffusion Models for Efficient Video Super-Resolution cites this paper.

Towards Redundancy Reduction in Diffusion Models for Efficient Video Super-Resolution Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 16

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arxiv_id, observed 2026-05-18T11:51:20.342942Z

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=2026-05-18T11:47:22.725217Z digest=sha256:b3a82f3a4678a1552398e565ffb20b8461ee7c71bd3b8a2c2d9e41297004b6a6

Observation fc7f59fe-43c7-43d8-aebd-faa67ca10143 · inbound

UltraImageGen: Efficient Ultra-High-Resolution Image Generation with Hierarchical Local Attention cites this paper.

UltraImageGen: Efficient Ultra-High-Resolution Image Generation with Hierarchical Local Attention Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 15

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no resolver link, observed 2026-08-04T09:20:07.411349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:20:07.411349Z digest=sha256:bfb07a1bdfb47eed9470fd84b701db6d03861d6125c2a69981e64fca5fbe9329

Observation 29858386-6753-4d0a-b7d9-e4e9a1103b10 · inbound

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space cites this paper.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 40

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no resolver link, observed 2026-08-03T22:12:45.435647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.435647Z digest=sha256:8442e6e724cd4a3154cae67221bc23319d5621c59c988fe1d8c86d918bee8c9d

Observation 7d0d5553-bf7c-4ced-bdb5-657b68c2f09f · 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 Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 70

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source=pdf_text observed=2026-08-03T15:46:12.720965Z digest=sha256:14de24fd2546ae045233bf64a90cc09c55b002029b75e3dd930be9698ae16c4d

Observation c3ebcfb7-2543-4843-82e6-59217e08f0c9 · inbound

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

Trainable Log-linear Sparse Attention for Efficient Diffusion Transformers Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 34

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source=pdf_text observed=2026-08-03T15:35:16.759708Z digest=sha256:6933f48347db3632711996853cfedeb10c6acaf76046a2180743ed9cee85032e

Observation 40e70530-067d-413c-9cb8-5e8c17ed031b · inbound

TinyHistory: Lightweight Video History Embeddings via Two-Stage Context Learning cites this paper.

TinyHistory: Lightweight Video History Embeddings via Two-Stage Context Learning Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 64

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source=pdf_text observed=2026-08-03T13:35:50.008026Z digest=sha256:0ca626ce6c87430868c74ff77a9c465ccefca1cd1a31affae4cee10a668af418

Observation caa6157e-9703-4170-913b-e912246b9dfc · inbound

SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices cites this paper.

SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 74

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no resolver link, observed 2026-08-03T10:56:16.020021Z

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source=pdf_text observed=2026-08-03T10:56:16.020021Z digest=sha256:565072b9f6d3fc4d57b0621a540cbe32af55c5ec1aa7285a0f2756f4a09af177

Observation 03b351ad-57de-4fe1-ae9d-5270f8adcd29 · inbound

Transition Matching Distillation for Fast Video Generation cites this paper.

Transition Matching Distillation for Fast Video Generation Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 53

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source=pdf_text observed=2026-08-03T10:35:06.618716Z digest=sha256:f0db9fe113c0af00934961f06860e29e12b5ca9309b802477048d3fb9bb758ab

Observation 12119fda-2811-4a23-a6ff-7627ad1cdcea · inbound

Mixture of Distributions Matters: Dynamic Sparse Attention for Efficient Video Diffusion Transformers cites this paper.

Mixture of Distributions Matters: Dynamic Sparse Attention for Efficient Video Diffusion Transformers Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 33

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:37:47.346990Z digest=sha256:56d7e894a9d38202ff7a09d4a17567ad5e2e95d20769972c0d1b49ea70543a1f

Observation 79c64972-fb6b-44b8-9633-1f12f4bcbe5d · 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 Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 42

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arxiv_id, observed 2026-05-21T17:32:01.847359Z

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=2026-05-21T17:32:01.642256Z digest=sha256:94fd77836c193dec94efd7e6fc06d08dd0f50940391f99aebd598a759c8aaa9e

Observation b50e13c0-b11d-4195-a62f-4b639e46a6ed · 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 Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 42

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arxiv_id, observed 2026-05-22T11:51:29.979301Z

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=2026-05-22T11:48:00.633421Z digest=sha256:794e84b23a08c29928d4d6034f7a37a6510a1b40c634118f7e4eaa39532793bf

Observation fbebeb35-b960-4f6f-bae0-f6c268a5e08d · 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 Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 42

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source=pdf_text observed=2026-08-03T05:30:28.604102Z digest=sha256:b155aa42bbcadc25c88100f6cd932a494f0c851e96e51691e6196949c503c481

Observation b14e174c-2216-42b4-9311-00c1c05a1efa · inbound

Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization cites this paper.

Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 18

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metadata mismatch
arxiv_id, observed 2026-05-16T08:00:44.646845Z

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=2026-05-16T07:58:24.456859Z digest=sha256:128d717c894b336c8a025406d3f6f6484a22fb08078a659c6697cff2e1513fd3

Observation bd3b27e8-69d2-4be7-8ddd-69213ce2fd4c · inbound

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

Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 16

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source=pdf_text observed=2026-08-03T04:33:11.377277Z digest=sha256:dedf9508f17bdca1a7878ee56c7954c4ae477c5bfa729a2f680fc78e82b9988d

Observation 2e0fb8c7-50a5-40f6-a6dd-35b2376f3d78 · inbound

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

Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 16

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no resolver link, observed 2026-08-04T00:38:17.262351Z

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source=pdf_text observed=2026-08-04T00:38:17.262351Z digest=sha256:d836ad16f6d62d16ed8f91158fe727c7cf9a344044351ccf7031d0cf77e942b1

Observation ecaa71af-89a8-40c4-a854-a7c060b3b420 · inbound

S2O: Early Stopping for Sparse Attention via Online Permutation cites this paper.

S2O: Early Stopping for Sparse Attention via Online Permutation Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 24

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verified exact
arxiv_id, observed 2026-05-15T19:36:32.881938Z

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=2026-05-15T19:32:52.948154Z digest=sha256:e7b265b72ef2b0bd46f28a428b153d0374879c45eee23673978121a887f7dfc4

Observation 237d2c6b-f340-43d5-94ce-b73109df66cc · inbound

Video Compression Meets Video Generation: Latent Inter-Frame Pruning with Attention Recovery cites this paper.

Video Compression Meets Video Generation: Latent Inter-Frame Pruning with Attention Recovery Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 28

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verified exact
arxiv_id, observed 2026-05-15T16:06:14.412858Z

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=2026-05-15T16:05:36.307084Z digest=sha256:e5d8aa5870b9615ec787bcef5d6e556343039cf4ceeaaf50293dcda9a91dd751

Observation 033b80b0-a7a8-4f85-8da4-f7a1b3b8e1b0 · 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 Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 9

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verified exact
arxiv_id, observed 2026-05-15T08:59:53.189960Z

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=2026-05-15T08:55:52.757489Z digest=sha256:7b0080d5cc83e3f9c1e93c628b7b9fd22b01a92f9f3d29f444c55945654d836b

Observation 0e6c0224-9558-48ca-bf5d-0bd1bc36ccfb · inbound

SURF: Signature-Retained Fast Video Generation cites this paper.

SURF: Signature-Retained Fast Video Generation Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 39

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verified exact
arxiv_id, observed 2026-05-21T18:14:17.576394Z

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=2026-05-21T18:11:39.642701Z digest=sha256:ec6a81c22bbd21711984c7f5f91487656378a53e1be1316c06cb1429f4d06a22

Observation fd7d2427-4387-4476-b61f-0a66bdd30ead · inbound

Long-Horizon Streaming Video Generation via Hybrid Attention with Decoupled Distillation cites this paper.

Long-Horizon Streaming Video Generation via Hybrid Attention with Decoupled Distillation Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 47

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verified exact
arxiv_id, observed 2026-05-11T09:11:10.460354Z

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=2026-05-10T16:10:54.363560Z digest=sha256:e34c56b52feaf14391864b99481fc60d218030f626ec819bcf6b60cb770a9a98

Observation f8708ad2-5f18-43fa-ba59-6d9c95b2a0ec · inbound

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

Efficient Video Diffusion Models: Advancements and Challenges Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 152

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verified exact
arxiv_id, observed 2026-05-10T09:03:25.714069Z

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=2026-05-10T08:28:29.706249Z digest=sha256:921b0a4b4d90de8085e5778473d0e4ffbc77232fa3806d81c297216923d16b53

Observation f685719a-ab53-4a16-b658-985b3581a6d3 · inbound

Memorize When Needed: Decoupled Memory Control for Spatially Consistent Long-Horizon Video Generation cites this paper.

Memorize When Needed: Decoupled Memory Control for Spatially Consistent Long-Horizon Video Generation Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:35:19.138279Z

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=2026-05-10T04:49:44.525757Z digest=sha256:2a688f85f34c347a1553a82ae415b4be4a65351f9f7114525c004e622eff2253

Observation 15acc78b-a1d9-4421-9b00-e34d473a2ca2 · inbound

AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video Generation cites this paper.

AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video Generation Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:43:49.671215Z

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=2026-05-10T05:09:46.155328Z digest=sha256:8226ce0ccd97c3dce93bc549f9d176a060160945bcc76756115ce4a4951e3402

Observation 86555e28-e483-46d4-9c50-672909cb7cf1 · inbound

DynamicRad: Content-Adaptive Sparse Attention for Long Video Diffusion cites this paper.

DynamicRad: Content-Adaptive Sparse Attention for Long Video Diffusion Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:36:07.908341Z

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=2026-05-10T01:25:27.819753Z digest=sha256:f6861a2f452e1249d0ca7142fb8fd6909cfc731c41561f259e6596966f03d73c

Observation 65b90f58-c4ac-4e88-bdd1-7390145cb356 · inbound

CoReDiT: Spatial Coherence-Guided Token Pruning and Reconstruction for Efficient Diffusion Transformers cites this paper.

CoReDiT: Spatial Coherence-Guided Token Pruning and Reconstruction for Efficient Diffusion Transformers Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:49:44.342655Z

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=2026-05-15T04:47:32.476614Z digest=sha256:a5a5d8fc4a7c692e0f7e47a82ce22b8e0238b520ad75494b1996101d7bb48085

Observation 5f9cecb8-8c3e-4cb4-9cc4-a890597178d1 · 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 Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:19:46.250983Z

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=2026-05-15T05:17:48.403406Z digest=sha256:c2afd5f915377b7ac2448fc2c36d17dbd8680072d0debdb98c1450158f144227

Observation ed1dc2ec-a890-4357-8866-461fcf7ce513 · inbound

SparseSAM: Structured Sparsification of Activations in Segment Anything Models cites this paper.

SparseSAM: Structured Sparsification of Activations in Segment Anything Models Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:48:19.746267Z

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=2026-05-20T13:45:26.106499Z digest=sha256:24f60c20399200dec5cf8d09ee0a4ecd9f89da0c49027e2599de659cc2882676

Observation 64e07104-0506-4a3f-8e73-5dabbc86bf40 · inbound

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation cites this paper.

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:45:20.097693Z

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=2026-05-25T04:44:19.628926Z digest=sha256:0840ad142304bfcbf910ed07bdab08423d725fa79fe9478c00fb5bc0ee5f0b71

Observation 33bf7c9d-bf25-473a-bfa4-4579457705b9 · inbound

DiSC: Resolution-Scalable Acceleration of Diffusion Models by Exploiting Sparsity and Cached Token Reuse with Hash-based Distribution cites this paper.

DiSC: Resolution-Scalable Acceleration of Diffusion Models by Exploiting Sparsity and Cached Token Reuse with Hash-based Distribution Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:33:53.916733Z

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=2026-06-29T19:33:05.248105Z digest=sha256:9ccf15799c87230c98be6504154e9fe9e3a1c60bb2c2039ef8ea1f6f62311d24

Observation 282da279-6c72-4d83-8773-c6ced65095f5 · inbound

RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models cites this paper.

RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:43:54.747044Z

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=2026-06-29T19:40:42.033793Z digest=sha256:b59f15f7f7189d64a68321a9f584a59e783f265a0a49663e2e9774dfdfe424ea

Observation d4b1cc71-f3b3-44e6-b793-4447d2ac072f · inbound

OSP-Next: Efficient High-Quality Video Generation with Sparse Sequence Parallelism, HiF8 Quantization, and Reinforcement Learning cites this paper.

OSP-Next: Efficient High-Quality Video Generation with Sparse Sequence Parallelism, HiF8 Quantization, and Reinforcement Learning Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:13:27.533279Z

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=2026-06-29T13:06:02.201607Z digest=sha256:2461658b4e217892f15360cbf8977a56d5cf33377aa62a988b408b0132a4c7a5

Observation 99cdccd7-71f1-408e-a760-0cf1e75ddf3f · inbound

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

Veda: Scalable Video Diffusion via Distilled Sparse Attention Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:03:14.720126Z

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=2026-06-29T07:54:13.390911Z digest=sha256:1d816846e37c544000be664f3647d732586cda3328f76b0243af08c6dec6e34a

Observation f6732574-dd6f-4a64-91b2-1727272b69f0 · inbound

LVSA: Training-Free Sparse Attention for Long Video Diffusion cites this paper.

LVSA: Training-Free Sparse Attention for Long Video Diffusion Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-28T22:42:45.076275Z

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=2026-06-28T22:35:11.610183Z digest=sha256:b43c61d615760ce2c80c40f82929fc0d953f4b42be4544e62f2b88d2d7cf272c

Observation 79586b40-ad51-4cad-9c63-c8ea058d3fc4 · 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 Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:26:00.145516Z

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=2026-06-28T22:43:32.749425Z digest=sha256:3a32bc2d40da0d6dbcc579d960bf5f30ddf89c3ea5d1b682dedc30abdd7a1bcb

Observation 7e67f4da-b947-4130-a9e0-0ed777b9f8bf · inbound

RhymeFlow: Training-Free Acceleration for Video Generation with Asynchronous Denoising Flow Scheduling cites this paper.

RhymeFlow: Training-Free Acceleration for Video Generation with Asynchronous Denoising Flow Scheduling Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:26:56.724770Z

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=2026-06-28T02:08:44.257127Z digest=sha256:aab2f2cd68dc6b043710b38ff120247906f69e7c5f10bc9565802a23d95f1431

Observation 800a0f5a-6871-4465-85f9-71a6ab88187a · inbound

ScalingAttention: Discovering Intrinsic Sparse Attention Topology for Video Diffusion Transformers cites this paper.

ScalingAttention: Discovering Intrinsic Sparse Attention Topology for Video Diffusion Transformers Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:49:44.816794Z

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=2026-06-26T09:22:55.731241Z digest=sha256:e2b62929c4ebf14e2cdeadf44935451d217502a779b41a42d4ffa57646219e8f

Observation f30539c6-8789-4c39-9d06-b6a6890d702e · inbound

Sol Video Inference Engine: Agent-Native Full-Stack Acceleration Framework for Efficient Video Generation cites this paper.

Sol Video Inference Engine: Agent-Native Full-Stack Acceleration Framework for Efficient Video Generation Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:49:41.596153Z

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=2026-06-26T11:05:44.972128Z digest=sha256:22a8c685599766de15e1b1300d08e701685e9f2deff967e540920cd9856681d8

Observation 9e76f868-216d-4563-a5d4-88eeb61ebbbe · inbound

EcoVideo: Entropy-Orchestrated Video Generation Paradigm in Cloud-Edge Dynamics cites this paper.

EcoVideo: Entropy-Orchestrated Video Generation Paradigm in Cloud-Edge Dynamics Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:14:22.140642Z

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=2026-06-30T06:15:31.587641Z digest=sha256:975314b1e7275d9b2c6c0236f9aeb4de7f028884c0579da1e15f825dc7018ddb

Observation 34383717-cb27-4789-97c3-20285c38ae0c · inbound

SyncCache: Exploiting Asymmetric Dynamics for Fast Audio-Driven Portrait Animation cites this paper.

SyncCache: Exploiting Asymmetric Dynamics for Fast Audio-Driven Portrait Animation Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:45:40.316344Z

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=2026-07-01T06:13:11.504526Z digest=sha256:63bbe2169123f6449d68dcbb84a3f785f51e30b0ad16609a81257094c826b5b6

Observation 7acff67a-d000-43a3-9681-d355d9067ea5 · inbound

SAF3R: Dynamic Sparse Attention for Feed-Forward 3D Reconstruction Transformers cites this paper.

SAF3R: Dynamic Sparse Attention for Feed-Forward 3D Reconstruction Transformers Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-12T01:12:13.747675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:12:13.747675Z digest=sha256:01617231916e66072f60a10f95921ec16f4b8cd6c87a80e3e1f06942e2f07a50

Observation 3480828d-6d6b-4a0e-a372-973e60cbff29 · inbound

Controlling Motion Transfer in Diffusion Transformers via Attention Heads cites this paper.

Controlling Motion Transfer in Diffusion Transformers via Attention Heads Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-14T07:11:45.493916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T07:11:45.493916Z digest=sha256:52d203aac87d6207ecf50b4787447b29f7d6b1fc02c43c13c9f50b822cc51822

Observation 25f0dc1f-cc73-47b9-9044-a0c35f4a2caa · inbound

ACID: Adaptive Caching for vIDeo generation cites this paper.

ACID: Adaptive Caching for vIDeo generation Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T06:40:16.756592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:40:16.756592Z digest=sha256:5f32be1252cdb6f8ae6c6d1d80afd758424ac82c8c70e1e12b8944cdabe8db08

Observation 85664d8c-dcf4-4452-92cc-75a0efeaaac4 · inbound

Kaleido: Algorithm-Hardware Co-Design for Video Diffusion Transformers by Exploiting Latent Space Correlations cites this paper.

Kaleido: Algorithm-Hardware Co-Design for Video Diffusion Transformers by Exploiting Latent Space Correlations Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-02T03:51:52.201118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:51:52.201118Z digest=sha256:d981ea9186a2d44ce5300c544d39cca1041b6acd8b2d5e9809663d74beeba43c

Observation 96c6444f-561d-4539-8dc0-c48ba40df209 · inbound

DiTango: Cost-Effective Parallel Diffusion Generation with Selective Attention State Reuse cites this paper.

DiTango: Cost-Effective Parallel Diffusion Generation with Selective Attention State Reuse Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T22:45:28.423325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:45:28.423325Z digest=sha256:99a8da3a079529e148e224205a60ebdb72b25b8d7fd13559b833be7d34a07624

Observation 71237a44-5ff7-43b0-90c8-cd58819ff435 · inbound

Surprise Forcing: What to Remember, When to Skip in Long Video Generation cites this paper.

Surprise Forcing: What to Remember, When to Skip in Long Video Generation Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T15:29:45.954883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:29:45.954883Z digest=sha256:94c272b2f7021f3cc2d4977a7e2311e2306154f0484a739136b687fef96ee45a

Observation 9653e097-2e9c-4e36-a90a-2cbb82949270 · inbound

SANA-Video 2.0: Hybrid Linear Attention with Attention Residuals for Efficient Video Generation cites this paper.

SANA-Video 2.0: Hybrid Linear Attention with Attention Residuals for Efficient Video Generation Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-01T07:09:08.982968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:09:08.982968Z digest=sha256:73c335029c702227ee8206321d8dcd4b8df4bec810da0279e5f8642aa743af31

Observation d4b9599c-978b-4803-9284-d698d4c5d12c · inbound

MM-ShiftKV: Decode-Aware Prefill-Stage KV Selection for Multimodal Large Language Models cites this paper.

MM-ShiftKV: Decode-Aware Prefill-Stage KV Selection for Multimodal Large Language Models Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-02T11:58:30.811138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T11:58:30.811138Z digest=sha256:89f09a073ecd01941b66e939ca97d687e8ebd0ce64d538ed12d1155cbcfb452f

Observation 9f33261d-732d-49fe-878b-39018db1bfa9 · inbound

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

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 89

Resolution
unresolved
no resolver link, observed 2026-07-31T02:16:08.242540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:16:08.242540Z digest=sha256:de72d2c4ee74cfb1d435e71cfe00e80f2b4ae84e11c42d91eede6183f19fd68f

Observation e0991f63-ee9f-4291-9d57-b0a7d8a4bdf9 · inbound

EchoCache: Energy-Guided Cross-Modal Caching for Efficient Audio-Driven Video Generation cites this paper.

EchoCache: Energy-Guided Cross-Modal Caching for Efficient Audio-Driven Video Generation Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-04T06:45:49.417885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:45:49.417885Z digest=sha256:3af0caea04b5d47b67535be32c6fde51cc8d17eb059c4e1ed0c0df438ef16201

Observation 50cf944d-afd2-459c-8591-a4feb3e27e20 · inbound

Token Radius Attention for Efficient Video Generation cites this paper.

Token Radius Attention for Efficient Video Generation Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 105

Resolution
unresolved
no resolver link, observed 2026-08-04T06:03:07.185566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T06:03:07.185566Z digest=sha256:03de28bdf94cc904eedd02c561a6118e62f800021c8aba07118a8d607bd6e514

Observation 2fb1c392-37b1-432d-936b-09a318b8a644 · inbound

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference cites this paper.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T20:50:04.013151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:50:04.013151Z digest=sha256:87aac6c772c44f11723a381c8705ccb9375e80d7fbd4ddba4fe34812005f08d4

Observation 6f7f4991-0c42-4061-b600-9f7b66cdf7cf · inbound

ContextMaster: Interactive Multi-Shot Video Creation via Fixed-Budget Sparse Context Routing cites this paper.

ContextMaster: Interactive Multi-Shot Video Creation via Fixed-Budget Sparse Context Routing Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T13:04:14.205005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T13:04:14.205005Z digest=sha256:c5cc6526f9a933a0e2d0fb002c47b3dd33f70022dfec010fc88577ff9b73cdd0