Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T22:12:45.670467Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T22:12:45.670467Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
54 of 54 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation da834498-0f44-4638-956c-5ed5ef9772a9 · outbound
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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Unavailable: canonical work link unavailable.
Observation 5e65a7c8-a3a4-4866-81ad-e599f7f27e1a · outbound
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
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
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
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
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
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
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
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
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
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
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
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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Observation e1dcda03-a4ba-4173-8a0b-7819012ba321 · outbound
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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Observation cfe648f1-cfdb-4c3a-9f1f-bc02d8031fbf · outbound
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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Observation 0d9b2a62-e419-4670-9f12-039e115083b4 · outbound
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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Observation 61b8c0cd-2a4f-455b-a40d-b9a5226f9e3e · outbound
Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Towards real-time multi-object tracking
Reference 39
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Observation 29858386-6753-4d0a-b7d9-e4e9a1103b10 · outbound
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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Observation 0eb71f41-1a8e-4534-ab1b-dac584d3d86a · outbound
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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Observation ea8eae99-522a-4e28-b109-922038e61c49 · outbound
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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Observation a9e98604-d0d5-4011-a7ce-675ae0aab768 · outbound
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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Observation c3c8f10b-7541-45c4-a4c8-98d5aa5b087e · outbound
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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Observation 92b33510-9cbb-47ad-ace4-0048a51027be · outbound
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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Observation 8c6719a4-6220-4620-a08a-7bed218b4271 · outbound
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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Observation 9619f72d-de8e-4b0a-b8f6-ead67b6bf9c7 · outbound
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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Observation c390b268-1860-4b76-bf92-159a45ded1df · outbound
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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Observation 81a69df5-16b9-4e87-8e54-98be59de7a3c · outbound
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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Observation e8f75d65-bc21-448d-ae07-9cf79956efe7 · outbound
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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Observation eaecef53-ef6a-4cd7-b6e1-7c7510dedc9a · outbound
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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Observation 486a21f3-35c2-40c7-af30-234443ccd75c · outbound
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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Observation ae420ff3-13dd-4709-86f7-fcf856823167 · outbound
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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Observation 864adab7-14f8-463d-91ca-3ab2b695331e · outbound
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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No inbound Pith citation observations are available.