Pith. sign in

Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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

  • verified exact0
  • verified fuzzy0
  • unresolved54
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:42.455948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:42.455948Z digest=sha256:66fe5fa7cd4ff3ffacc59353224d2de9e60abd6f46aff57b631fc8ec74b5c30d

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:42.502548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:42.502548Z digest=sha256:4b5dcb02813b66bc057cc1af081d08f78656cb5eea8c088032cf6487680a83c2

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:42.549014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:42.549014Z digest=sha256:a0cdc1206212f96b894281bc4049631ba7a166797b496534d87253d519dc5f55

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:42.654018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:42.654018Z digest=sha256:dfcccc2e29da3951777ecd57c076eb195e9c6858bbdda440b85c377d0fb67fcc

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:42.763668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:42.763668Z digest=sha256:49ca87dfbc998068b04c0dd46f881184aabd2aaac7621d4b7da3fa8069645147

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:42.869599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:42.869599Z digest=sha256:bfe620a84ef466876406c70518beaa5f25804fb63a8bddf2b3b2d637dd86c2df

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:42.960969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:42.960969Z digest=sha256:ba6b7193fbbb0481a820455435fdafe56ade57940f937ad6f856c54a27bd7984

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:43.020208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:43.020208Z digest=sha256:2e3166ff6f69cb48df418f4a9eba5e741a90224ec5b39bebfd47a5cf9e39fdcd

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:43.148596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:43.148596Z digest=sha256:8a557405eadf350353224f7efb5297e3ab49712536332c1ab29db1e76b05d3e3

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:43.208805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:43.208805Z digest=sha256:20b79959fd5007b655c067baaef3e6d8d2e1818e75ea44ec5ba35cd379e33a43

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:43.297848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:43.297848Z digest=sha256:fba96edd4b8ce5a5f8a4fe2e33f3af21866629074052bdc3d5fd7b922d12d601

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:43.402599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:43.402599Z digest=sha256:73fa755a4ae6c3faaaeaeadf3c41a875a7b48c9bc69ea1d9df613e2f51f71dae

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:43.549015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:43.549015Z digest=sha256:e3a649a097bc4203c3cc7da41cc2befa199c0e7990c13088151dccf83c9963f7

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:43.612109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:43.612109Z digest=sha256:531d5cd7a52690c6298665cd7680693bbf8f6f6de220b0c47607990163e5f072

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:43.625497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:43.625497Z digest=sha256:26f1ad6bad344a6e2880a2927aff19eee57797633b257f9d6e3f616602cca87c

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:43.720939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:43.720939Z digest=sha256:66da30fa407618eded2170b1085f0bb77314c57503b51c8ae853408d84e40e6e

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:43.829418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:43.829418Z digest=sha256:86215fb061e7917b4e0900f7420cf102c705838c00096a4abcbe512fd871b6ec

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:43.948920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:43.948920Z digest=sha256:18675b5503ba7b05d12834dc6c02f84320243724cb263a6f5cd4ed4b21956847

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:44.112466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:44.112466Z digest=sha256:0634874affb98a218812567c13dcf79380e9ddaf77bd753de12655c857814b5c

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:44.218542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:44.218542Z digest=sha256:9b1a560c6fbabb42e0413bb10df79dc3b1f9d77c91a871a64bd047e559aafccb

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:44.379396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:44.379396Z digest=sha256:97bd8287683d71437721e3893419ba0bab86044551cf384776d9bfc9b99a6e76

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:44.405339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:44.405339Z digest=sha256:4ed4a15f1b267cb45571c1e99c365bf70fc61802fc8e62bf7f57e152cf7f7f4d

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:44.510309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:44.510309Z digest=sha256:c6ad134026f98f018075a94a7d78ece275043c687ea81f43f9cb92afe9f7cf3c

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:44.647083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:44.647083Z digest=sha256:15fbd8908f758d1967f9fc08ed0f597a59098af54d83bb39bc6f5d8063f699a8

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:44.748071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:44.748071Z digest=sha256:9735cad242a417d2706c42838c1ec9d00273de26b8a266a3148ffa9c25acda7d

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:44.871592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:44.871592Z digest=sha256:cbe3b9eb9b1eb1d6b606efe4328353151af6a6d946319f7c5ab1da1685da3d59

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:44.877742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:44.877742Z digest=sha256:86aa7d18900701758851035c77b48de3503da5e51348ae516509ef84448ff0af

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:44.929037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:44.929037Z digest=sha256:e2077df3021498b37660e8126db688c54ecee5fed411c7aa7de8c39350aba327

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.045784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.045784Z digest=sha256:fa0359cb0e96d01dc566ce71bee299309793d7b3a1ab31d9100fc95ea38e63d4

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.170649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.170649Z digest=sha256:271411f8d031de70b34eb9815d94bcf84b0182f4f69b1e815eab0833d904cc39

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.176013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.176013Z digest=sha256:152e9051b371ddfccbbdb81da679423410be468f7990508ed25e8a1fe6566533

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.180481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.180481Z digest=sha256:36b372e855ccbe5428cd09716258dd0f43771b0f1d85c40b55a496286be22bd7

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.185090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.185090Z digest=sha256:902e76a6296072bf8fe409aae162d02f4bac3ecb6c05990e1699e302e2ad4173

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.212111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.212111Z digest=sha256:3692c0f056220c6707ffd0179c6b77f52d96028bf6077984d8811aca2b623d08

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.327965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.327965Z digest=sha256:6879097aa3e4fea3ee8727aa4ffdcc5607b604c8778873cbdcdb9a59cd77252e

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.376792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.376792Z digest=sha256:bc7c72eae963feea85e70b89a43a14f95d333cbb10561045d1a0817c8d949aa7

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.382196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.382196Z digest=sha256:fcc7f1c9cb53c0961d912d1d5b0f30c1a6dff8cdf3ea8529e77e8771a4afe563

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.386266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.386266Z digest=sha256:274f0ee3ef022be9c37e6a5929261918dcc0c969da736e90995c59d2dcb85d9e

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.390451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.390451Z digest=sha256:7c7940d617405d654437a323959226b1d88b99aeb73be0120860e102cac1e861

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.435647Z digest=sha256:bc38201f8d5a0b3f2f39a86b2686c3b8732f67272fa85a666210eb1315c7362c

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.484035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.484035Z digest=sha256:8fa648f6d645aa73602a46610d8b8b2d234b8dbe01dbe9000e87ab363f699e40

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.488752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.488752Z digest=sha256:740dd4ec7bed6d35268dd6cc349fa4ab6b8dd3561cd39149e461171ee29f776b

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.493201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.493201Z digest=sha256:f281f0dc401ba6b2d09192b91156786af595f17ee2aaf37dc9e23d31245bcebf

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.497146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.497146Z digest=sha256:bad5c2b456bd3a242a0dccb2227a339b1bafb5ff06dbc0fcb014c03ba99cea80

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.503814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.503814Z digest=sha256:eff916ac41ce5f21db3ddb8fb502b8d0c619f98ee46719f73f15cd2a02ebad84

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.564951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.564951Z digest=sha256:cd83b90022c82d8d215b9b1a494c7b8745159ca5f3bf6a82139cd2ff9e7f6b8b

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.569470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.569470Z digest=sha256:6f5fb3b7936604f22dca3f76acb8e3280d9e69248f94cd76f7a87c56479ab8b4

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.577898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.577898Z digest=sha256:97cf98c9557e77707757d977eb665106fe51064df47ab63213c06d634048d85e

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.585356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.585356Z digest=sha256:0284984f6aa668331ed7abc98e88db591862d0d66436482bad8ff44d35601f35

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.654070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.654070Z digest=sha256:e291f88d07c31cd9192bde1135fbf0ace14846b7beca3e601d25e604e2719d5d

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.658267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.658267Z digest=sha256:7685e006c00dfc9e1a61288d15069c6c7fa10e9c0e304b0080a5984ca74de2d0

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.662435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.662435Z digest=sha256:e3680534a5c8faed20b6b86192982c54afee364ba2ac1ebdd7bcccb376b2add8

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.666385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.666385Z digest=sha256:d12cae4730f695c46280314bf879844919be3847335e39f5b3b765dec53b04a1

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.670467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.670467Z digest=sha256:44181c69da1208900cded910a7f28d3164186633d47e82648e3f92421daec421

Pith citing papers

No inbound Pith citation observations are available.