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Paper Citation Record · LEDGER

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation

As of 19 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 4 inbound Pith citation observations for arXiv:2505.19151.

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

pith.paper-citation-record.v1
2505.19151 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:23:19.280451Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T06:15:31.587641Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:14:22.098727Z

Reference resolution

44 of 44 outbound references displayed

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  • verified fuzzy7
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 83739e9b-e260-4d81-b110-b24c34ea0b12 · outbound

This paper cites Video generation models as world simulators.OpenAI Blog, 1:8, 2024.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Video generation models as world simulators.OpenAI Blog, 1:8, 2024

Reference 1

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:23:19.044543Z digest=sha256:66aa689973e6dc876c48a3189199d586f31d0f222e6a7e0bb75eb95c6bfd0c9c

Observation 57896ec6-0005-48cf-bd2c-1d8ccedbeba4 · outbound

This paper cites Accelerating Large Language Model Decoding with Speculative Sampling.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Accelerating Large Language Model Decoding with Speculative Sampling

Reference 2

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source=pdf_text observed=2026-08-07T14:23:19.049730Z digest=sha256:1eb910ba4d4b8e07111da941a0ce41fe3b6f7968edd736b6d788500050d0b6ac

Observation 93c8b9db-c16a-4204-9b52-347a407ff249 · outbound

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

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models

Reference 3

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source=pdf_text observed=2026-08-07T14:23:19.054813Z digest=sha256:c9d5aeb529127082ab1ff9b643b8f0eade7337d2f8590b7bcbef08c63c8fff73

Observation a5a6e0ff-3382-49cb-8a27-99bc814577de · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.Advances in neural information processing systems, 35:16344–16359, 2022.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Flashattention: Fast and memory-efficient exact attention with io-awareness.Advances in neural information processing systems, 35:16344–16359, 2022

Reference 4

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source=pdf_text observed=2026-08-07T14:23:19.059721Z digest=sha256:9dbfb8bc535e874fe7cbd107ecaaaa0bf4076660c2a8b214e7d81f9699f17175

Observation fdd5ca2c-142d-4cf8-938f-04d97eedff97 · outbound

This paper cites xDiT: an Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation xDiT: an Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism

Reference 5

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source=pdf_text observed=2026-08-07T14:23:19.065098Z digest=sha256:3df91dd83b85bc714911bea5c381b94b3c692385a5839d3ea9a22dd5c27a15dd

Observation e1166cab-06cb-4587-8384-aa44bd665e4b · outbound

This paper cites USP: A Unified Sequence Parallelism Approach for Long Context Generative AI.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation USP: A Unified Sequence Parallelism Approach for Long Context Generative AI

Reference 6

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source=pdf_text observed=2026-08-07T14:23:19.069948Z digest=sha256:572659aa834d25614ff11472efdbbf3c4351fdc621a29d118ad68e2c59bef88f

Observation f97649ae-b460-4a86-8582-73ef56eeb3a2 · outbound

This paper cites DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation

Reference 7

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source=pdf_text observed=2026-08-07T14:23:19.075449Z digest=sha256:ab36164447df35eac5de88578e994f027cb800bc47ebcef307c9a08ae182761e

Observation 8e3db2ad-421a-4454-8101-2f335c5f2ca5 · outbound

This paper cites Hybrid slm and llm for edge-cloud collaborative inference.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Hybrid slm and llm for edge-cloud collaborative inference

Reference 8

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source=pdf_text observed=2026-08-07T14:23:19.080853Z digest=sha256:3adbacc434c3831516a27f473c22a309439aa028147d2d82ad4b3664314a3905

Observation 32a71e4e-5367-4087-8fe9-b5d058b02be4 · outbound

This paper cites Neighboring Autoregressive Modeling for Efficient Visual Generation.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Neighboring Autoregressive Modeling for Efficient Visual Generation

Reference 9

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source=pdf_text observed=2026-08-07T14:23:19.084915Z digest=sha256:2cff25df35c8b2677080c62d878a4c1314e1ad78422eee9e171b1f6c7a52f04d

Observation 0c80a3f3-5bc8-4ebd-9a7c-65f456ff72bb · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 10

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source=pdf_text observed=2026-08-07T14:23:19.090447Z digest=sha256:50955645338f0641d95e34ed6d476e6106277552941140b819bd9bab10bdcccc

Observation 368f66ed-6afa-4b24-9fc4-f8ad86e79a92 · outbound

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

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Vbench: Comprehensive benchmark suite for video generative models

Reference 11

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source=pdf_text observed=2026-08-07T14:23:19.096118Z digest=sha256:c47a4a5b18af56e1f2ff8c5ddb9a394551b4291171c7bb66f51ca7b4977bd41e

Observation 36668c6d-a7f3-424b-b0bf-d7f5938a2d4e · outbound

This paper cites VACE: All-in-One Video Creation and Editing.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation VACE: All-in-One Video Creation and Editing

Reference 12

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source=pdf_text observed=2026-08-07T14:23:19.100931Z digest=sha256:55deedf50e1c9ceca557d3c080158aff26aac3080e7b8975e7389548efab306b

Observation 3f675ee0-d14e-4ffd-bad3-a9103bf8d817 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.Advances in neural information processing systems, 35:26565–26577, 2022.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Elucidating the design space of diffusion-based generative models.Advances in neural information processing systems, 35:26565–26577, 2022

Reference 13

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source=pdf_text observed=2026-08-07T14:23:19.105969Z digest=sha256:281d0a663269f00c2058be1392a4aafd1cda2604342ff00378fb026995204621

Observation 30ffba76-c36f-4bb8-b957-972de2ecf235 · outbound

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

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 14

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source=pdf_text observed=2026-08-07T14:23:19.111120Z digest=sha256:f3e437dad83aa311fe62cc73433316c91adb51256a39435a788b5d26d658bce2

Observation 96750825-d69f-442a-aa84-61eeca8fb905 · outbound

This paper cites Fast inference from transformers via speculative decoding.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Fast inference from transformers via speculative decoding

Reference 15

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source=pdf_text observed=2026-08-07T14:23:19.115722Z digest=sha256:7de0e186b8f225c2c6398eba31aa557670f890942fbda1954687423f37088fb1

Observation 4347f198-d93d-46a4-9a92-9a6b2f710147 · outbound

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

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Distrifusion: Distributed parallel inference for high-resolution diffusion models

Reference 16

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source=pdf_text observed=2026-08-07T14:23:19.121125Z digest=sha256:459cc5b62bc1ead6616b8791bc10cba01d11c4dd10df3105cdbcd88f12a923f1

Observation 1fa63ae8-95b5-411a-89ad-990748c89180 · outbound

This paper cites Svdqunat: Absorbing outliers by low-rank components for 4-bit diffusion models.arXiv preprint arXiv:2411.05007, 2024.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Svdqunat: Absorbing outliers by low-rank components for 4-bit diffusion models.arXiv preprint arXiv:2411.05007, 2024

Reference 17

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source=pdf_text observed=2026-08-07T14:23:19.125419Z digest=sha256:c274bf383879000a8a99e65c006744341d9cbc21c9f258128899e6caeeb9c78e

Observation 1f09680e-70d1-46f3-8398-866d0422960c · outbound

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

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 18

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source=pdf_text observed=2026-08-07T14:23:19.129754Z digest=sha256:f3813f3b890b591ce77d93feaa2c3bd6fe554fd3630d6f98ea47b0546bdb65fd

Observation ebebac64-1c84-49a8-a12f-9263e4c460ca · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787, 2022.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787, 2022

Reference 19

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source=pdf_text observed=2026-08-07T14:23:19.134510Z digest=sha256:78d7c21de1b10de4b73a3aa3f0bddbd1eb5c4932b5b784240712e959c247f1fb

Observation 9d219848-fc5c-45ea-aaba-824b16a43dbf · outbound

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

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 20

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source=pdf_text observed=2026-08-07T14:23:19.139526Z digest=sha256:fccd3c5d54456340c631f822d0148512eea0b795145dbafec279892e716c894b

Observation 6760978c-73a9-4cbf-82ef-f693c298c44c · outbound

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

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality

Reference 21

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source=pdf_text observed=2026-08-07T14:23:19.144261Z digest=sha256:adc79ba75c5d772e8df94295409ecda6647fea0e206e6f6b4d3f8e3dacf7147d

Observation 21667d9e-d2a3-460f-b8d0-d11e247a5492 · outbound

This paper cites Scalable diffusion models with transformers.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Scalable diffusion models with transformers

Reference 22

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source=pdf_text observed=2026-08-07T14:23:19.155496Z digest=sha256:1a357c5f0a3ae082e416774462383adab8bbc18db4024d5a53a620d1a8cd8835

Observation bd5954bc-d891-40e5-aff4-bde287735773 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Progressive Distillation for Fast Sampling of Diffusion Models

Reference 23

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source=pdf_text observed=2026-08-07T14:23:19.161167Z digest=sha256:97e042615fcb5f143fed0f4ce423f6ac46f022e6e86a884b8709b6dc73365363

Observation ad24e30e-8681-48ba-bfea-d2bc91e70925 · outbound

This paper cites Denoising Diffusion Implicit Models.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Denoising Diffusion Implicit Models

Reference 24

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source=pdf_text observed=2026-08-07T14:23:19.167047Z digest=sha256:9c359b979e40b8edab9981ae913e1ae119d47df7d4316f4808d0eaeb7cd1649e

Observation a51188ef-76ce-4db4-848f-bcd9a142cd51 · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.Advances in neural information processing systems, 37:84839–84865, 2024.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Visual autoregressive modeling: Scalable image generation via next-scale prediction.Advances in neural information processing systems, 37:84839–84865, 2024

Reference 25

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source=pdf_text observed=2026-08-07T14:23:19.172029Z digest=sha256:5138bb47f2e580b1bccdba73317e3d8add261b5000ddcc9f871d360adf757f9e

Observation 288dd0b0-9313-4895-86b1-20147b86e707 · outbound

This paper cites Diffusers: State-of-the-art diffusion models.https://github.com/huggingface/diffusers, 2022.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Diffusers: State-of-the-art diffusion models.https://github.com/huggingface/diffusers, 2022

Reference 26

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source=pdf_text observed=2026-08-07T14:23:19.177631Z digest=sha256:7fe7a4c0f41884a6919888deb3fb369290cefcc3175eded1cac645c9ca10952e

Observation c0c48e13-fe26-4d08-91b3-f8aa3c2a4912 · outbound

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

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 27

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source=pdf_text observed=2026-08-07T14:23:19.183312Z digest=sha256:5d35af6e581e52d01dfabf73db2f3676ea8d784eac78e70416f7fd9e5c12c0c6

Observation 8228e194-f61f-45a3-9053-8b93a8a7cd04 · outbound

This paper cites Videocomposer: Compositional video synthesis with motion controllability.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Videocomposer: Compositional video synthesis with motion controllability

Reference 28

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source=pdf_text observed=2026-08-07T14:23:19.189974Z digest=sha256:ec5dce1c3f4de527ad7296f1195027eb8d20bf6139bc97de76e1ffe3ba55dceb

Observation 87c090a7-12df-4eb3-8b43-8202a929d682 · outbound

This paper cites VideoLCM: Video Latent Consistency Model.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation VideoLCM: Video Latent Consistency Model

Reference 29

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source=pdf_text observed=2026-08-07T14:23:19.195247Z digest=sha256:4c93cceabe9b7cf160c5ad8b493adc55353fbe2cedd255ac7f3cf786bb6da851

Observation b9eec0b7-8ffa-4c59-9654-c0fea11f90f6 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004

Reference 30

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source=pdf_text observed=2026-08-07T14:23:19.200638Z digest=sha256:c7bea203370d7797a6275f17eded7415137ce3c777fd2f9093236ab7239787cb

Observation e8d771b5-048a-45a7-b090-5ad7a2736fc3 · outbound

This paper cites Dreamvideo: Composing your dream videos with customized subject and motion.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Dreamvideo: Composing your dream videos with customized subject and motion

Reference 31

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source=pdf_text observed=2026-08-07T14:23:19.205856Z digest=sha256:8461f0c3a1168e150d88a8e5e5694fed51b954f808f83ea59d61c12970945597

Observation 2ffaae10-867d-4714-a95f-b335ca6ab1f1 · outbound

This paper cites Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, and Jialiang Wang.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, and Jialiang Wang

Reference 32

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source=pdf_text observed=2026-08-07T14:23:19.211287Z digest=sha256:6823b05346905bd18defd72bc19815c5d74ee4544ed007d8e5a335e4a0ccbcb9

Observation f8d418c7-76de-43b7-b22c-e6b0efbc8a16 · outbound

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

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

Reference 33

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source=pdf_text observed=2026-08-07T14:23:19.217477Z digest=sha256:3cafe824d13caa4940c7635023a5cfd0f796e42db4365707e02caacb40427003

Observation 6f1a5f36-a9aa-44a7-afb5-99bb2d7bc144 · outbound

This paper cites Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models

Reference 34

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source=pdf_text observed=2026-08-07T14:23:19.223679Z digest=sha256:eb62a953b0ac378fc963611daf15576404e74d41ac83d800aef846d6c33e9437

Observation 2f563f21-79bb-454a-9d02-3e6c902826bb · outbound

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

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 35

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unresolved
no resolver link, observed 2026-08-07T14:23:19.230583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:23:19.230583Z digest=sha256:fd592f998b2d4d07884a8fa3a7fcf99102f12faa33c7969558931fa775398fe1

Observation 5d3f88fe-6b65-4ec6-b366-d71a33cbacab · outbound

This paper cites Sageattention: Accurate 8-bit attention for plug-and-play inference acceleration.arXiv preprint arXiv:2410.02367, 2024.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Sageattention: Accurate 8-bit attention for plug-and-play inference acceleration.arXiv preprint arXiv:2410.02367, 2024

Reference 36

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unresolved
no resolver link, observed 2026-08-07T14:23:19.236515Z

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source=pdf_text observed=2026-08-07T14:23:19.236515Z digest=sha256:bfc22187a6a39760800e4d4db3fcfec3ddedbf31c9036261bf63c3ee16d8b561

Observation dfc1a281-3d20-48fe-8630-ffdb9703a735 · outbound

This paper cites Packing input frame context in next-frame prediction models for video generation.arXiv preprint arXiv:2504.12626, 2025.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Packing input frame context in next-frame prediction models for video generation.arXiv preprint arXiv:2504.12626, 2025

Reference 37

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no resolver link, observed 2026-08-07T14:23:19.241433Z

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source=pdf_text observed=2026-08-07T14:23:19.241433Z digest=sha256:e7a9cc2c965cfac2e0835a6e354f4a9eadf9fd8267173553d7a8203a2be9237f

Observation a9d38952-c312-41e9-9780-b1b01273b6be · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation The unreasonable effectiveness of deep features as a perceptual metric

Reference 38

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unresolved
no resolver link, observed 2026-08-07T14:23:19.246550Z

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source=pdf_text observed=2026-08-07T14:23:19.246550Z digest=sha256:4f934c8945fa01081c72825c64b76ce4ad68ae8b26b957fa15a2e6a326ea1d4a

Observation 28712f71-56da-4031-a358-c198f3531c75 · outbound

This paper cites Cross-attention makes inference cumbersome in text-to-image diffusion models.arXiv e-prints, pages arXiv–2404, 2024.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Cross-attention makes inference cumbersome in text-to-image diffusion models.arXiv e-prints, pages arXiv–2404, 2024

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-07T14:23:19.970102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:23:19.252440Z digest=sha256:b4c1312c9959c4907ddc8816e95aad3858ad52bb2cedce343849d0b22a46b1c8

Observation d7fda6a0-f43b-4a3c-bf8e-40f48109f882 · outbound

This paper cites Deepgemm: clean and efficient fp8 gemm kernels with fine-grained scaling.https://github.com/deepseek-ai/DeepGEMM, 2025.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Deepgemm: clean and efficient fp8 gemm kernels with fine-grained scaling.https://github.com/deepseek-ai/DeepGEMM, 2025

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:19.953141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:23:19.257462Z digest=sha256:77847fad2b6d110ef0f323d1fc7339939fb32ba14624e615ba9d35b199dd7400

Observation fc23ec29-bbbc-4112-8213-f8fa7d6d831d · outbound

This paper cites DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers

Reference 41

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unresolved
no resolver link, observed 2026-08-07T14:23:19.262344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:23:19.262344Z digest=sha256:ccd664bfa4371bc424a41bde7cf9296da48a85da1c00c2b869b985ff7d0d103e

Observation 7657eb02-3f05-4b87-9b56-aa67632c1233 · outbound

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

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Real-Time Video Generation with Pyramid Attention Broadcast

Reference 42

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unresolved
no resolver link, observed 2026-08-07T14:23:19.267997Z

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source=pdf_text observed=2026-08-07T14:23:19.267997Z digest=sha256:3f91d213bd2fda0690a6821b45271775c3b1be4f7393fb86a76180de79db53b5

Observation 54f1737e-df95-4da3-8404-1994b25c9985 · outbound

This paper cites Open-Sora: Democratizing Efficient Video Production for All.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation Open-Sora: Democratizing Efficient Video Production for All

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:23:19.273840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:23:19.273840Z digest=sha256:35e77f5e3932273ba8faa82086ad70c7ed43d31131d4d0a013617e46d93fa97c

Observation acbec1c4-5d89-49d3-b7ca-a0381a422fd8 · outbound

This paper cites The ship's hull is painted a rich brown, with tiny windows.

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation The ship's hull is painted a rich brown, with tiny windows

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:23:19.935707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:23:19.280451Z digest=sha256:59906a26047d4d1ec95ad2ce352b38ce4616be078ab4c4821c25605600b2172d

Pith citing papers

Observation 543897e6-feb9-4e51-bf9a-f5129631b4b8 · inbound

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

Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:38:36.327149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T01:35:14.878069Z digest=sha256:d9127ba4ca128d167114f211f43b989e3b92689914013d3c2b3a5394be76f7ea

Observation 4a6c5c96-5a71-4434-b717-e8eb8fd95a25 · inbound

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

Efficient Video Diffusion Models: Advancements and Challenges SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation

Reference 243

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:03:25.993183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:d4d8a1a36f035efc2354e6b06cdc7a94279ee8a6a09bf4a0fc8e10bdde75c952

Observation c059232e-c269-4869-92ae-151f26ba830d · inbound

Speculative Decoding for Autoregressive Video Generation cites this paper.

Speculative Decoding for Autoregressive Video Generation SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:11:20.048799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T06:10:41.082951Z digest=sha256:b7cfe507b1778597a84d82160fb43c76baf4d532d2191d9b1a17a3fb7db3321f

Observation 55c380f1-6f49-4032-9b93-b160c6ebe314 · inbound

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

EcoVideo: Entropy-Orchestrated Video Generation Paradigm in Cloud-Edge Dynamics SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation

Reference 4

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metadata mismatch
arxiv_id, observed 2026-06-30T07:14:22.100700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T06:15:31.587641Z digest=sha256:9442c67d0a9afbbae1fdcd9285e6f125c16f07404a9126736f346e54da744dfe