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Paper Citation Record · LEDGER

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space

As of 10 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2511.12035.

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

pith.paper-citation-record.v1
2511.12035 v2

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:12:45.670467Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

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Outbound references

Observation da834498-0f44-4638-956c-5ed5ef9772a9 · outbound

This paper cites Image and video compression standards: algorithms and architec- tures.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Image and video compression standards: algorithms and architec- tures

Reference 1

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Observation de5ddeb4-79dd-4265-bc87-671f214a7b3d · outbound

This paper cites Token merging for fast sta- ble diffusion.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Token merging for fast sta- ble diffusion

Reference 2

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Observation 8ac76d34-ab1b-48f9-8914-88320f865224 · outbound

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

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space $\Delta$-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers

Reference 3

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Observation b0fd504d-a7b0-46bd-9c7b-7beab5a8fcb2 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Generating Long Sequences with Sparse Transformers

Reference 4

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Observation 58d9ebee-d7d9-46d9-8ac2-ebd2eed72302 · outbound

This paper cites Diffusion models in vision: A survey.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Diffusion models in vision: A survey

Reference 5

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Observation 8b95a9e6-1b69-4ca7-b5b3-6f6e7b9aba79 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 6

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Observation faef121e-0176-46c5-a2c3-9e796a16e8b3 · outbound

This paper cites Flashattention: Fast and memory-efficient exact at- tention with io-awareness.Advances in Neural Information Processing Systems, 35:16344–16359, 2022.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Flashattention: Fast and memory-efficient exact at- tention with io-awareness.Advances in Neural Information Processing Systems, 35:16344–16359, 2022

Reference 7

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Observation 16db170a-0ee8-4b88-b45f-2067dfdae9be · outbound

This paper cites Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile

Reference 8

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Observation 4ba5f157-47e0-4993-a6fe-1320e771b7da · outbound

This paper cites Real-time gaze tracking with event- driven eye segmentation.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Real-time gaze tracking with event- driven eye segmentation

Reference 9

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Observation 064a5f54-a056-4fe0-a8c8-95cf104a8cb3 · outbound

This paper cites Veo 2: Our state-of-the-art video generation model,.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Veo 2: Our state-of-the-art video generation model,

Reference 10

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Observation 0bd2df79-0c46-4f63-a519-555961348087 · outbound

This paper cites Boot: Data-free distillation of denois- ing diffusion models with bootstrapping.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Boot: Data-free distillation of denois- ing diffusion models with bootstrapping

Reference 11

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Observation f46e68b3-3d3e-4d9f-9365-0bd32d857b2a · outbound

This paper cites Mod- ern lossless compression techniques: Review, comparison and analysis.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Mod- ern lossless compression techniques: Review, comparison and analysis

Reference 12

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Observation 3cb37c49-650c-42ae-ae0f-7889e99d9a50 · outbound

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

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 13

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Observation b1c1006a-f755-45ba-be52-c2b1c081443e · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 14

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Observation 0022f1ab-54ed-4898-b779-83418fdd1bde · outbound

This paper cites Vbench: Comprehensive bench- mark suite for video generative models.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Vbench: Comprehensive bench- mark suite for video generative models

Reference 15

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Observation a86d90dd-9d19-48f2-ace5-e28eccded4d8 · outbound

This paper cites Minference 1.0: Accel- erating pre-filling for long-context llms via dynamic sparse attention.Advances in Neural Information Processing Sys- tems, 37:52481–52515, 2024.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Minference 1.0: Accel- erating pre-filling for long-context llms via dynamic sparse attention.Advances in Neural Information Processing Sys- tems, 37:52481–52515, 2024

Reference 16

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Observation 50d456e2-f19e-402d-934e-b5c4cc5a3a59 · outbound

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

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 17

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Observation 2a596670-7dea-4eb4-9205-fc43b420f049 · outbound

This paper cites Kuaishou Unveils Proprietary Video Generation Model ‘Kling’; Testing Now Available, 2024.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Kuaishou Unveils Proprietary Video Generation Model ‘Kling’; Testing Now Available, 2024

Reference 18

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Observation fd38724d-c300-4ef2-be53-3b7364cf97ea · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Gonzalez, Hao Zhang, and Ion Stoica

Reference 19

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Observation deabe9bd-512a-40a0-acf4-d21c809a1b33 · outbound

This paper cites Autodiffusion: Training-free optimization of time steps and architectures for automated diffusion model acceleration.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Autodiffusion: Training-free optimization of time steps and architectures for automated diffusion model acceleration

Reference 20

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Observation eb804562-27f2-4c48-9e03-96e84d56e588 · outbound

This paper cites Open-Sora Plan: Open-Source Large Video Generation Model.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Open-Sora Plan: Open-Source Large Video Generation Model

Reference 21

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Observation 7179ac3d-b357-454f-945c-5fab513fd397 · outbound

This paper cites Flow Matching for Generative Modeling.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Flow Matching for Generative Modeling

Reference 22

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Observation 2871a6b5-c309-4703-a1dc-e008b13dc720 · outbound

This paper cites Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models

Reference 23

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Observation 5e65a7c8-a3a4-4866-81ad-e599f7f27e1a · 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,.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787,

Reference 24

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Observation b46b1156-ff4e-45fe-9f7b-02d54e431ad9 · outbound

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

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 25

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Observation 9f2c8360-8f5a-4de5-bd81-28b654b61d25 · outbound

This paper cites Image and video compres- sion with neural networks: A review.IEEE Transactions on Circuits and Systems for Video Technology, 30(6):1683– 1698, 2019.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Image and video compres- sion with neural networks: A review.IEEE Transactions on Circuits and Systems for Video Technology, 30(6):1683– 1698, 2019

Reference 26

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Observation 2f9b8faf-3ac2-4d7a-aa1c-3672d50135aa · outbound

This paper cites Sora: Bring your imagination to life with text, im- age, or video, 2024.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Sora: Bring your imagination to life with text, im- age, or video, 2024

Reference 27

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Observation 4d6387ed-b1d6-4d59-b302-4a54ece3d588 · outbound

This paper cites Scalable diffusion models with transformers.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Scalable diffusion models with transformers

Reference 28

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Observation 3dccbae0-8fa2-4128-8a0f-c206bb049e57 · outbound

This paper cites Runway Gen 2: The Next Step Forward for Gener- ative AI, 2024.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Runway Gen 2: The Next Step Forward for Gener- ative AI, 2024

Reference 29

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Observation c22500df-2121-4264-8954-7d81967a37ad · outbound

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

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Progressive Distillation for Fast Sampling of Diffusion Models

Reference 30

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Observation 3d243cd6-0b4c-44d6-8aaa-ed8033a9fd5f · outbound

This paper cites Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Reference 31

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Observation 00e7ec1e-4130-488a-a685-ed52674720ad · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 32

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Observation beaf474d-ffe3-4c9e-930a-02d3b26d07ed · outbound

This paper cites Denoising Diffusion Implicit Models.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Denoising Diffusion Implicit Models

Reference 33

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Observation 4a8afae6-6783-4ad9-9a35-e7ea206a944d · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Score-Based Generative Modeling through Stochastic Differential Equations

Reference 34

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Observation fc58f151-f9c8-4946-9ddf-b521218e8ead · outbound

This paper cites Mochi 1.https :/ /github .com/ genmoai/models, 2024.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Mochi 1.https :/ /github .com/ genmoai/models, 2024

Reference 35

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source=pdf_text observed=2026-08-03T22:12:45.327965Z digest=sha256:61422de346a96de38a5a5094f4cab7d7cfafc7aec8d8e5f2e9077b9fccfaf531

Observation e1dcda03-a4ba-4173-8a0b-7819012ba321 · outbound

This paper cites Vidi: Large Multimodal Models for Video Understanding and Editing.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Vidi: Large Multimodal Models for Video Understanding and Editing

Reference 36

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source=pdf_text observed=2026-08-03T22:12:45.376792Z digest=sha256:9b2ee43f478dcfe1fa4f985de75ace6642f8112de0b9498da012e9518b1a8852

Observation cfe648f1-cfdb-4c3a-9f1f-bc02d8031fbf · outbound

This paper cites Tencent launches and open-sources Hunyuan video-generation model, 2024.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Tencent launches and open-sources Hunyuan video-generation model, 2024

Reference 37

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source=pdf_text observed=2026-08-03T22:12:45.382196Z digest=sha256:ad1f221752de81bb9773fdd35bbd880af399c3746c566537c07145308dca82df

Observation 0d9b2a62-e419-4670-9f12-039e115083b4 · outbound

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

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Wan: Open and Advanced Large-Scale Video Generative Models

Reference 38

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source=pdf_text observed=2026-08-03T22:12:45.386266Z digest=sha256:2dd18f4313ef3206d1bc0ac112a291ac867de73e36685cf8f5b004a12bece246

Observation 61b8c0cd-2a4f-455b-a40d-b9a5226f9e3e · outbound

This paper cites Towards real-time multi-object tracking.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Towards real-time multi-object tracking

Reference 39

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source=pdf_text observed=2026-08-03T22:12:45.390451Z digest=sha256:6d31c1aaea6ccdbf373a850e06a72fabb226191d22038120f7d0c65a1e197fa0

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

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

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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source=pdf_text observed=2026-08-03T22:12:45.435647Z digest=sha256:569456238149f2b3bdeeb99c905f8f16f08bb1247a1f3e7ae1969b3a2fe781e9

Observation 0eb71f41-1a8e-4534-ab1b-dac584d3d86a · outbound

This paper cites Training-free and Adaptive Sparse Attention for Efficient Long Video Generation.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Training-free and Adaptive Sparse Attention for Efficient Long Video Generation

Reference 41

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source=pdf_text observed=2026-08-03T22:12:45.484035Z digest=sha256:144ab3259f2ff1b058838d5431fc750ee8ff92f417b08d6d65eb400bea7284fa

Observation ea8eae99-522a-4e28-b109-922038e61c49 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Efficient Streaming Language Models with Attention Sinks

Reference 42

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source=pdf_text observed=2026-08-03T22:12:45.488752Z digest=sha256:04443a684b0f8826a60267cae8242c8a0f8bc7f9da750c06e112201aac7d7f26

Observation a9e98604-d0d5-4011-a7ce-675ae0aab768 · outbound

This paper cites Easyanimate: A high-performance long video generation method based on transformer architecture.arXiv preprint arXiv:2405.18991,.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Easyanimate: A high-performance long video generation method based on transformer architecture.arXiv preprint arXiv:2405.18991,

Reference 43

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source=pdf_text observed=2026-08-03T22:12:45.493201Z digest=sha256:344f4ec35c7b341134373e77808f208cafdc4bf767ec45a88bb5c5f03a994faa

Observation c3c8f10b-7541-45c4-a4c8-98d5aa5b087e · outbound

This paper cites Diffusion models: A comprehensive survey of methods and applications.ACM Computing Surveys, 56(4): 1–39, 2023.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Diffusion models: A comprehensive survey of methods and applications.ACM Computing Surveys, 56(4): 1–39, 2023

Reference 44

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source=pdf_text observed=2026-08-03T22:12:45.497146Z digest=sha256:600edb0b815e1bf461d3b7a597f8bb2666bdd1ea841cf4eb8d44536339f4f6ff

Observation 92b33510-9cbb-47ad-ace4-0048a51027be · outbound

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

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 45

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source=pdf_text observed=2026-08-03T22:12:45.503814Z digest=sha256:738ceb8e4f99a0dade6af43090baa3a2c0ec5376039ab9a78bc4b438b786860e

Observation 8c6719a4-6220-4620-a08a-7bed218b4271 · outbound

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

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving

Reference 46

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source=pdf_text observed=2026-08-03T22:12:45.564951Z digest=sha256:df838e0270ac78e4d25ceab5b923827bfc736b4401a4bd36b40e3415ef99cc81

Observation 9619f72d-de8e-4b0a-b8f6-ead67b6bf9c7 · outbound

This paper cites One-step diffusion with distribution matching distillation.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space One-step diffusion with distribution matching distillation

Reference 47

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source=pdf_text observed=2026-08-03T22:12:45.569470Z digest=sha256:95935f0da2b7b63e27380e92a9b631c771a6da5a0107f8c6c391c5def1182691

Observation c390b268-1860-4b76-bf92-159a45ded1df · outbound

This paper cites Ditfastattn: Attention compression for diffusion transformer models.Advances in Neural Information Pro- cessing Systems, 37:1196–1219, 2024.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Ditfastattn: Attention compression for diffusion transformer models.Advances in Neural Information Pro- cessing Systems, 37:1196–1219, 2024

Reference 48

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source=pdf_text observed=2026-08-03T22:12:45.577898Z digest=sha256:f0105f00c6b10f1e87837c2172ae87bed3216e1beae24edcbf4e42c70625d6a3

Observation 81a69df5-16b9-4e87-8e54-98be59de7a3c · outbound

This paper cites Make pixels dance: High- dynamic video generation.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Make pixels dance: High- dynamic video generation

Reference 49

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source=pdf_text observed=2026-08-03T22:12:45.585356Z digest=sha256:077acbe5f6399d64fd1cb440f471873520229cb2415088938833e22b9c81c8a0

Observation e8f75d65-bc21-448d-ae07-9cf79956efe7 · outbound

This paper cites H2o: Heavy-hitter ora- 10 cle for efficient generative inference of large language mod- els.Advances in Neural Information Processing Systems, 36: 34661–34710, 2023.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space H2o: Heavy-hitter ora- 10 cle for efficient generative inference of large language mod- els.Advances in Neural Information Processing Systems, 36: 34661–34710, 2023

Reference 50

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source=pdf_text observed=2026-08-03T22:12:45.654070Z digest=sha256:a50a6e7f4d8522b87e9531171ff964bd4127d986a35f1c849c45bfa34e46ee23

Observation eaecef53-ef6a-4cd7-b6e1-7c7510dedc9a · outbound

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

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Real-Time Video Generation with Pyramid Attention Broadcast

Reference 51

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source=pdf_text observed=2026-08-03T22:12:45.658267Z digest=sha256:79a21e9eacbc447f32d520755d9920007578a7609406ebe1272d4aea622dec00

Observation 486a21f3-35c2-40c7-af30-234443ccd75c · outbound

This paper cites Efficiently program- ming large language models using sglang.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Efficiently program- ming large language models using sglang

Reference 52

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source=pdf_text observed=2026-08-03T22:12:45.662435Z digest=sha256:9e87393db8cace012b5f50e1866a424db1be8974eedeffb79fdf60dcf577db4c

Observation ae420ff3-13dd-4709-86f7-fcf856823167 · outbound

This paper cites Open-sora: Democratizing efficient video production for all, 2024.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Open-sora: Democratizing efficient video production for all, 2024

Reference 53

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source=pdf_text observed=2026-08-03T22:12:45.666385Z digest=sha256:616a3c44e055a781e6ac4ff3da3371e5f8f7b68702a4ea3a49f8454a737e3711

Observation 864adab7-14f8-463d-91ca-3ab2b695331e · outbound

This paper cites Accelerating Diffusion Transformers with Token-wise Feature Caching.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Accelerating Diffusion Transformers with Token-wise Feature Caching

Reference 54

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source=pdf_text observed=2026-08-03T22:12:45.670467Z digest=sha256:b5a3cd4c81b25c7adf55c04ec92486694cf66d62349fd8baccc51580cc9bd969

Pith citing papers

No inbound Pith citation observations are available.