Paper Citation Record · LEDGER

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

As of 14 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 23 inbound Pith citation observations for arXiv:2505.18875.

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

pith.paper-citation-record.v1
2505.18875 v5

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T12:31:11.886858Z

measured 93 of 93 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:51:05.533597Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T08:49:41.575846Z

Reference resolution

70 of 70 outbound references displayed

verified exact3
verified fuzzy63
unresolved2
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2537f70f-da02-4681-bfd4-6bbaeb52fb21 · outbound

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

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-19T12:32:17.794853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e8218c3a-2073-4db8-a8cc-2e0a7437eaca · outbound

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

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-19T12:32:17.787357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 33fa6ce1-6959-4194-a317-7c75fb5ef10f · outbound

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

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-19T12:32:17.791026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 93c9826a-03a7-4853-88ac-11f377f766a8 · outbound

This paper cites Sparse videogen: Accelerating video diffusion transformers with spatial-temporal sparsity.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Sparse videogen: Accelerating video diffusion transformers with spatial-temporal sparsity

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.165121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9a05a5f8-fe71-4a5b-b471-23bf336590aa · outbound

This paper cites Quest: Query-aware sparsity for efficient long-context llm inference.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Quest: Query-aware sparsity for efficient long-context llm inference

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.169268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f1508976-546c-427b-ae89-54cbc51ecc52 · outbound

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

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation H2o: Heavy-hitter oracle for efficient generative inference of large language models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.171531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 80fd919b-753d-44aa-8359-baa93949cc4a · outbound

This paper cites Efficient streaming language models with attention sinks.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Efficient streaming language models with attention sinks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.149999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e06177b4-6ae1-4d06-ae19-270e63434ea9 · outbound

This paper cites Fast Video Generation with Sliding Tile Attention.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Fast Video Generation with Sliding Tile Attention

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T12:32:17.783573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eb56a12e-c6ac-4dcf-b451-f5eb830942a2 · outbound

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

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Spargeattn: Accurate sparse attention accelerating any model inference

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.097464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7f3288e8-4ba9-47e5-8225-94ed2abfc77e · outbound

This paper cites Xattention: Block sparse attention with antidiagonal scoring.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Xattention: Block sparse attention with antidiagonal scoring

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.227707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 159a33b6-abf2-486d-95cc-3e323f2e78ef · outbound

This paper cites Tactic: Adaptive sparse attention with clustering and distribution fitting for long-context llms.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Tactic: Adaptive sparse attention with clustering and distribution fitting for long-context llms

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.210844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c718fc7e-c848-4259-b95c-64dd368816db · outbound

This paper cites Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, and Lili Qiu.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, and Lili Qiu

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.112720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 52997666-3cf8-4d9f-991b-4fde48c7827d · outbound

This paper cites Pit: Optimization of dynamic sparse deep learning models via permutation invariant transformation.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Pit: Optimization of dynamic sparse deep learning models via permutation invariant transformation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.084479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8db13696-880a-4936-988f-b04ad74a62f0 · outbound

This paper cites Nvidia a100 tensor core gpu.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Nvidia a100 tensor core gpu

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.086783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 95e3d407-9dbc-46ac-8091-13103ab07b2d · outbound

This paper cites Twilight: Adaptive attention sparsity with hierarchical top-ppruning.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Twilight: Adaptive attention sparsity with hierarchical top-ppruning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.147782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 840fe29b-463d-46b1-ae4e-b80ae317f6e1 · outbound

This paper cites Flashinfer: Efficient and customizable attention engine for llm inference serving.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Flashinfer: Efficient and customizable attention engine for llm inference serving

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.103225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2021551e-0e02-4a88-a6b4-3660d4536889 · outbound

This paper cites Training-free and adaptive sparse attention for efficient long video generation.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Training-free and adaptive sparse attention for efficient long video generation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.121151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e85d07c5-f6a7-417b-b16e-123c353888bc · outbound

This paper cites Paroattention: Pattern-aware reordering for efficient sparse and quantized attention in visual generation models.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Paroattention: Pattern-aware reordering for efficient sparse and quantized attention in visual generation models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.157471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5d509197-af11-443a-b0ef-3c96273412be · outbound

This paper cites Dsv: Exploiting dynamic sparsity to accelerate large-scale video dit training.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Dsv: Exploiting dynamic sparsity to accelerate large-scale video dit training

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.184235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 44c229bd-b69c-4656-a09e-0a504e9a7179 · outbound

This paper cites Fpsattention: Training-aware fp8 and sparsity co-design for fast video diffusion.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Fpsattention: Training-aware fp8 and sparsity co-design for fast video diffusion

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.238927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7759e546-41b2-4a8f-8b93-d38d8132966a · outbound

This paper cites V orta: Efficient video diffusion via routing sparse attention.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation V orta: Efficient video diffusion via routing sparse attention

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.179884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 29f07946-7c9a-460b-a003-7b64e08dedae · outbound

This paper cites Training-free efficient video generation via dynamic token carving.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Training-free efficient video generation via dynamic token carving

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.192903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 286e141a-3779-4eb9-bef1-3a84e33ce6c7 · outbound

This paper cites Gonzalez, Ion Stoica, and Lianmin Zheng.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Gonzalez, Ion Stoica, and Lianmin Zheng

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.175745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7da7980f-10ca-4742-b06d-15bb39e5567d · outbound

This paper cites Duoattention: Efficient long-context llm inference with retrieval and streaming heads.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Duoattention: Efficient long-context llm inference with retrieval and streaming heads

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.162807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fa08fa0d-d517-4704-8097-feb0ea3ccead · outbound

This paper cites Minference 1.0: Accelerating pre-filling for long-context llms via dynamic sparse attention.NeurIPS.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Minference 1.0: Accelerating pre-filling for long-context llms via dynamic sparse attention.NeurIPS

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.167181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5eb50740-63f7-4a09-b573-0383467a6626 · outbound

This paper cites Flexprefill: A context-aware sparse attention mechanism for efficient long-sequence inference.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Flexprefill: A context-aware sparse attention mechanism for efficient long-sequence inference

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.177827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c113d191-abed-47c2-a533-3a99373dc5f0 · outbound

This paper cites Seerattention: Learning intrinsic sparse attention in your llms.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Seerattention: Learning intrinsic sparse attention in your llms

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.186147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation da24cd2c-1e15-4b55-96cf-c371ca9cfc63 · outbound

This paper cites Infllm: Training-free long-context extrapolation for llms with an efficient context memory.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Infllm: Training-free long-context extrapolation for llms with an efficient context memory

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.206519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 24c83ab8-b571-490e-8d12-dfa448af0fb9 · outbound

This paper cites Lm-infinite: Zero-shot extreme length generalization for large language models.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Lm-infinite: Zero-shot extreme length generalization for large language models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.204176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0a305fb3-fea6-4177-918c-2862616b3ce4 · outbound

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

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.212855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a7566cf6-7123-485c-8dcc-4ed500f16288 · outbound

This paper cites Gated linear attention transformers with hardware-efficient training.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Gated linear attention transformers with hardware-efficient training

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.217282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 58963b27-25e1-4f5b-92b7-4671a964b527 · outbound

This paper cites Gated delta networks: Improving mamba2 with delta rule.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Gated delta networks: Improving mamba2 with delta rule

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.194970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 13df249f-8f7a-4d85-b2f7-bf2bb4a48ddb · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Mamba: Linear-time sequence modeling with selective state spaces

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.197028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aefa0269-7f55-406f-9722-94deb9bc4d00 · outbound

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

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Transformers are ssms: Generalized models and efficient algorithms through structured state space duality

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.232631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9628708a-d30f-4802-92a2-7eae5f9401eb · outbound

This paper cites Matten: Video generation with mamba-attention.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Matten: Video generation with mamba-attention

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.135581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 31a528f5-9f22-4214-b981-f1c94d1bfbe6 · outbound

This paper cites Jha, and Xiaoliang Dai.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Jha, and Xiaoliang Dai

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.137857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 86e7dbdf-3718-4bb0-819f-fa7416ce5c83 · outbound

This paper cites M4v: Multi-modal mamba for text-to-video generation.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation M4v: Multi-modal mamba for text-to-video generation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.145405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dfcfeb64-ca33-4d3c-a43f-26ed255a3e98 · outbound

This paper cites Long-context state-space video world models.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Long-context state-space video world models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.124789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ce46575f-4ede-4ebd-ba4e-887aa5694062 · outbound

This paper cites One-minute video generation with test-time training.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation One-minute video generation with test-time training

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.152280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7957d81f-16c5-4570-9050-3575dc711de2 · outbound

This paper cites Sana 1.5: Efficient scaling of training-time and inference-time compute in linear diffusion transformer.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Sana 1.5: Efficient scaling of training-time and inference-time compute in linear diffusion transformer

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.118560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 44fb9ebb-1771-4905-a036-c53f03a25d00 · outbound

This paper cites Sana: Efficient high-resolution image synthesis with linear diffusion transformers.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Sana: Efficient high-resolution image synthesis with linear diffusion transformers

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.107048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 58b54b5a-34b4-48dd-b475-54b6b44bbea6 · outbound

This paper cites Sana-video: Efficient video generation with block linear diffusion transformer.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Sana-video: Efficient video generation with block linear diffusion transformer

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.214932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 18d6f934-5b06-4963-94ee-80a8c9cab297 · outbound

This paper cites Dc-ae 1.5: Accelerating diffusion model convergence with structured latent space.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Dc-ae 1.5: Accelerating diffusion model convergence with structured latent space

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.094956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ec204da9-7ebf-459c-9461-88d2df39bc9e · outbound

This paper cites Dc-gen: Post-training diffusion acceleration with deeply compressed latent space.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Dc-gen: Post-training diffusion acceleration with deeply compressed latent space

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.190403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d4edabc1-0588-4de3-bb94-7ed9106497f0 · outbound

This paper cites Deep compression autoencoder for efficient high-resolution diffusion models.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Deep compression autoencoder for efficient high-resolution diffusion models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.221304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 125bd7a6-d8b6-4a03-8428-a7a73afc19a2 · outbound

This paper cites From slow bidirectional to fast autoregressive video diffusion models.CVPR.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation From slow bidirectional to fast autoregressive video diffusion models.CVPR

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.092014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 372c3b89-31c4-4b5c-b4bc-801216a69a45 · outbound

This paper cites Self forcing: Bridging the train-test gap in autoregressive video diffusion.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Self forcing: Bridging the train-test gap in autoregressive video diffusion

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.089548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2b6b2d44-a86c-462c-85de-5264b8d2a3eb · outbound

This paper cites Longlive: Real-time interactive long video generation.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Longlive: Real-time interactive long video generation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.109744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 533b168c-9d7f-4ac9-8832-17521e7c0d4b · outbound

This paper cites Packing input frame context in next-frame prediction models for video generation.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Packing input frame context in next-frame prediction models for video generation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.115389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f1079082-803b-47c3-a9d5-53470c28ab24 · outbound

This paper cites Riflex: A free lunch for length extrapolation in video diffusion transformers.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Riflex: A free lunch for length extrapolation in video diffusion transformers

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.132651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cf39c2d1-72e5-42e2-a284-7b310e0fd138 · outbound

This paper cites Freelong++: Training-free long video generation via multi-band spectralfusion.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Freelong++: Training-free long video generation via multi-band spectralfusion

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.173668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4d0b5709-2c26-4802-8cf8-8ef303a094ad · outbound

This paper cites Radial attention: o(nlogn)sparse attention with energy decay for long video generation.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Radial attention: o(nlogn)sparse attention with energy decay for long video generation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.182168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e25fb630-5168-430a-8269-344b7e89c357 · outbound

This paper cites Vmoba: Mixture-of-block attention for video diffusion models.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Vmoba: Mixture-of-block attention for video diffusion models

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.199216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation db67d38b-0a68-43f2-a93b-d4d6661ba170 · outbound

This paper cites Mixture of contexts for long video generation.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Mixture of contexts for long video generation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.234739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e30d6ca1-34cd-4e7e-a609-d380fd5f5480 · outbound

This paper cites Vsa: Faster video diffusion with trainable sparse attention.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Vsa: Faster video diffusion with trainable sparse attention

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.127350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e1f0bd77-78d4-4eb3-bc90-60c619725738 · outbound

This paper cites an unresolved cited work.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-05-19T12:32:18.129847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 53eb6a6c-9beb-46b1-bf67-0fd3dde35eae · outbound

This paper cites Dicache: Let diffusion model determine its own cache.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Dicache: Let diffusion model determine its own cache

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.100078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8b67fa98-ae9e-4a7c-9120-46b55c84b0bf · outbound

This paper cites Omnicache: A trajectory-oriented global perspective on training-free cache reuse for diffusion transformer models.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Omnicache: A trajectory-oriented global perspective on training-free cache reuse for diffusion transformer models

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.188242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 78fd1925-4d02-4400-b841-d9ebf2b03199 · outbound

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

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Timestep embedding tells: It’s time to cache for video diffusion model

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.140629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aa5f96eb-bc95-4b59-b430-58564b9bf8ce · outbound

This paper cites Less is enough: Training-free video diffusion acceleration via runtime-adaptive caching.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Less is enough: Training-free video diffusion acceleration via runtime-adaptive caching

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.154913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 91bd1d1e-5e92-4ddc-846d-b4579cd75e0e · outbound

This paper cites Attention is all you need.NeurIPS.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Attention is all you need.NeurIPS

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.160146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5de9e7a9-d031-4a6c-9d25-790dd419fdeb · outbound

This paper cites Sparsetir: Composable abstractions for sparse compilation in deep learning.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Sparsetir: Composable abstractions for sparse compilation in deep learning

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.143145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0a99f2b0-ef7f-4027-b9c3-34ca444b7137 · outbound

This paper cites k-means++: the advantages of careful seeding.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation k-means++: the advantages of careful seeding

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.240936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3dca4c0b-de10-4bf1-9da9-1b0dd942d958 · outbound

This paper cites an unresolved cited work.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-05-19T12:32:18.223285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 09b20feb-9eb7-40c9-ba88-d1f6d497be9c · outbound

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

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Real-time video generation with pyramid attention broadcast

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.225339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ba2cbdd2-69d8-4773-9b1d-f63845eb255a · outbound

This paper cites Flashattention-3: Fast and accurate attention with asynchrony and low-precision.NeurIPS.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Flashattention-3: Fast and accurate attention with asynchrony and low-precision.NeurIPS

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.230203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e1337fd2-5685-4276-ac9f-b428a6f66119 · outbound

This paper cites Flex attention: A programming model for generating optimized attention kernels.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Flex attention: A programming model for generating optimized attention kernels

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.236752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 24beb2f5-1cc7-42f8-aebd-e3b3f7ccfec7 · outbound

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

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Vbench: Comprehensive benchmark suite for video generative models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.208627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b9241d7b-0221-4ecb-853a-e957a6b044a5 · outbound

This paper cites [Yes] " is generally preferable to.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation [Yes] " is generally preferable to

Reference 69

Resolution: malformed identifier; raw_fallback, observed 2026-05-19T12:32:18.219206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5381e0fc-ca49-434d-baca-b685f0013007 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T12:32:18.201593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation e89ccf27-81f0-47fa-897b-42b273e38716 · 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 VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:05.533597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22a64801-0ee0-4a1d-8514-069e84b0f657 · 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 VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:02.079811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a98bc80e-4815-4f0c-8dd3-b515437ca70b · 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 VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T09:20:07.773723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3549f437-ce7f-46d8-b83a-21050beea9c6 · inbound

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

Trainable Log-linear Sparse Attention for Efficient Diffusion Transformers Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T15:35:16.997670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22646c0a-ffa2-4599-8361-4c78be80735c · inbound

Transition Matching Distillation for Fast Video Generation cites this paper.

Transition Matching Distillation for Fast Video Generation Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T10:35:06.628928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3c7b157-bc6a-4af0-98c2-61d633914bb5 · 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 VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T08:00:44.693905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ff2d333c-5f5b-4a75-8d68-78c962792988 · inbound

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

S2O: Early Stopping for Sparse Attention via Online Permutation Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:36:32.957594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 291ec135-572d-46c1-b769-2e9538898d3f · 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 VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 29

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T16:06:14.405632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a9603e02-a756-46a0-aa5c-429d9ad3f15e · 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 VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-15T08:59:53.176331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ef0157d1-3b00-4a16-8877-2d00dcfbd723 · inbound

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

SURF: Signature-Retained Fast Video Generation Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-21T18:14:17.561929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 846da531-7bab-4306-ae18-cb30e3f9e8f0 · 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 VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-10T09:43:49.696632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 99603888-b9f9-490c-a338-f1a1d674335a · inbound

HEART: Exploiting Head Heterogeneity in Sparse Attention for Video Diffusion cites this paper.

HEART: Exploiting Head Heterogeneity in Sparse Attention for Video Diffusion Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-15T05:19:46.256500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 589b0ab7-2dc1-4681-ac5d-a18ccc71d32f · inbound

Image-to-Video Diffusion: From Foundations to Open Frontiers cites this paper.

Image-to-Video Diffusion: From Foundations to Open Frontiers Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 154

Resolution: verified exact; local_arxiv, observed 2026-05-20T15:08:25.081771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d1f37f47-ae53-40a7-bc1f-3da8e78e282d · inbound

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

SparseSAM: Structured Sparsification of Activations in Segment Anything Models Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-20T13:48:19.749353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5ebcd6f2-5814-4db8-bfa4-9825cd037047 · inbound

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

LVSA: Training-Free Sparse Attention for Long Video Diffusion Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-06-28T22:42:47.117300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 55e67cbd-619d-4eb4-a391-f2de586cb59a · 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 VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-01T19:26:00.144896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ee29d9ba-5436-45fc-a4fa-ba6718c4a8bb · 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 VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-07-02T12:26:56.710428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cc4ab52b-5d71-4a0e-8416-e9e50c74fa76 · 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 VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:49:41.577104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation feabe630-c3f6-43a9-9df5-4d1fd9845bf9 · inbound

HyperVAttention: Efficient Sparse Attention with Spatio-Temporal Clustering for Video Diffusion cites this paper.

HyperVAttention: Efficient Sparse Attention with Spatio-Temporal Clustering for Video Diffusion Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-07-12T05:28:53.474483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a9a6fca-032f-47d2-8b0b-6774ee529a24 · 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 VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 44

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 217ed1be-9e33-462f-a669-9d41f74ea711 · 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 VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-02T03:51:52.683841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6096c1b9-6c77-4aea-8d38-1054b820ae48 · 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 VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T22:45:28.569375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba37427d-f92c-436b-991b-caf9919d90f6 · 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 VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T20:50:04.024042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.