Paper Citation Record · LEDGER

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile

As of 9 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 9 inbound Pith citation observations for arXiv:2502.06155.

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

pith.paper-citation-record.v1
2502.06155 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:36:00.861663Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:15:14.861189Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T18:14:17.525731Z

Reference resolution

65 of 65 outbound references displayed

verified exact2
verified fuzzy18
unresolved45
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 879f14bd-8897-4969-9900-68ec4584cc42 · outbound

This paper cites write newline.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.534034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2c047e6-018d-4017-9d2d-0c0849c635c9 · outbound

This paper cites Y., Suk, H., Suo, M., Tillet, P., Wang, E., Wang, X., Wen, W., Zhang, S., Zhao, X., Zhou, K., Zou, R., Mathews, A., Chanan, G., Wu, P., and Chintala, S.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Y., Suk, H., Suo, M., Tillet, P., Wang, E., Wang, X., Wen, W., Zhang, S., Zhao, X., Zhou, K., Zou, R., Mathews, A., Chanan, G., Wu, P., and Chintala, S

Reference 2

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Observation 94fdb3b5-3a01-4cb0-b2ab-da78858b4676 · outbound

This paper cites Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.547084Z

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Observation 23dd000f-b5b3-4022-97f3-7505abd9fa95 · outbound

This paper cites Videocrafter2: Overcoming data limitations for high-quality video diffusion models.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Videocrafter2: Overcoming data limitations for high-quality video diffusion models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:36:01.975333Z

Source-reported events for the cited work

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Observation 3617f228-9ea2-488b-ac75-bc512ca23935 · outbound

This paper cites Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.558029Z

Source-reported events for the cited work

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Observation 975d6dc2-04b2-4da4-9c6d-61c4045da716 · outbound

This paper cites AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.563170Z

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Observation f5d93968-c1ec-47fd-8386-7c3093811bdb · outbound

This paper cites Structure and content-guided video synthesis with diffusion models.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Structure and content-guided video synthesis with diffusion models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:36:01.959428Z

Source-reported events for the cited work

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Observation f5140fd8-15b7-40e8-845d-d72673f0fbf0 · outbound

This paper cites Preserve your own correlation: A noise prior for video diffusion models.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Preserve your own correlation: A noise prior for video diffusion models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:36:01.943274Z

Source-reported events for the cited work

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Observation 6c56835c-c689-4e44-9464-c3a5b6ad6d80 · outbound

This paper cites Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.578900Z

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Observation 95b604a4-94a5-46ee-a241-27d48f4770f4 · outbound

This paper cites On the Content Bias in Fr\'echet Video Distance.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile On the Content Bias in Fr\'echet Video Distance

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-08T16:36:01.413556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b06056eb-23ec-4515-9315-e6d092b44994 · outbound

This paper cites Minillm: Knowledge distillation of large language models.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Minillm: Knowledge distillation of large language models

Reference 11

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Observation 79bb3bb3-11da-4713-b672-1b9069214617 · outbound

This paper cites SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.598080Z

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Observation 2b792012-9c03-4fad-a65b-fc3bd61c0616 · outbound

This paper cites Animatediff: Animate your personalized text-to-image diffusion models without specific tuning.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Animatediff: Animate your personalized text-to-image diffusion models without specific tuning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.603175Z

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Observation d397fb01-a86c-4445-9c71-b94dde4ecc35 · outbound

This paper cites Latent Video Diffusion Models for High-Fidelity Long Video Generation.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.608167Z

Source-reported events for the cited work

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Observation 81427793-320b-4014-a568-6d264499d586 · outbound

This paper cites Multistep Consistency Models.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Multistep Consistency Models

Reference 15

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Observation d574554b-c171-469c-8e83-d1eb0ff321a1 · outbound

This paper cites StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.618081Z

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Observation 8c2a1d30-9d77-4ce8-8a82-d5055a71632b · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Distilling the Knowledge in a Neural Network

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.623076Z

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Observation 4128552a-5a2b-480d-9054-de6b48d2bd65 · outbound

This paper cites an unresolved cited work.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Unresolved cited work

Reference 18

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Source-reported events for the cited work

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Observation 08444821-546c-4338-8499-1097e243eb58 · outbound

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

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Vbench: Comprehensive benchmark suite for video generative models

Reference 19

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Observation 8c3f9113-e61b-4bff-a736-3c791cd2e5bd · outbound

This paper cites DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.638410Z

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Observation 373c26d2-28b7-4781-a4cf-40710192aefa · outbound

This paper cites TinyBERT: Distilling BERT for Natural Language Understanding.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile TinyBERT: Distilling BERT for Natural Language Understanding

Reference 21

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Source-reported events for the cited work

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Observation ee4c3a19-5c23-4914-89ff-83d79a0ea2e2 · outbound

This paper cites Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.649412Z

Source-reported events for the cited work

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Observation 52f6ec41-0aa7-48ea-919c-40820754231b · outbound

This paper cites Kling, 2024.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Kling, 2024

Reference 23

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Observation ec3a272e-1247-4ef0-a729-a882cd471b99 · outbound

This paper cites and etc., T.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile and etc., T

Reference 24

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Observation ba841194-aa46-4883-be2b-dbf16191b945 · outbound

This paper cites P., Ma, X., Stoica, I., Gonzalez, J.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile P., Ma, X., Stoica, I., Gonzalez, J

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:36:01.865018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f1194f38-bc35-473c-bff2-3b3ba0fd07fa · outbound

This paper cites T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.669349Z

Source-reported events for the cited work

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Observation 1ea50d30-0989-4e70-9fea-4c677e1b1951 · outbound

This paper cites Gan compression: Efficient architectures for interactive conditional gans.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Gan compression: Efficient architectures for interactive conditional gans

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:36:01.848657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6117cdd6-ea7e-47c8-9858-4876a5d0c5f0 · outbound

This paper cites Efficient spatially sparse inference for conditional gans and diffusion models.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Efficient spatially sparse inference for conditional gans and diffusion models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:36:01.832465Z

Source-reported events for the cited work

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Observation 9e7e5081-aa54-4346-88b7-55968b2cb0ae · outbound

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

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Distrifusion: Distributed parallel inference for high-resolution diffusion models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:36:01.815764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8a6531b9-4286-46d4-b2f5-4ba4884aa181 · outbound

This paper cites Ring Attention with Blockwise Transformers for Near-Infinite Context.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Ring Attention with Blockwise Transformers for Near-Infinite Context

Reference 30

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Observation 34ff312d-c82d-4f7b-8a16-a27331ac2984 · outbound

This paper cites SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation

Reference 31

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Observation 6395adc7-bdb8-4d45-8888-63c79c31f51c · outbound

This paper cites Instaflow: One step is enough for high-quality diffusion-based text-to-image generation.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Instaflow: One step is enough for high-quality diffusion-based text-to-image generation

Reference 32

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Observation 210e0a49-8d13-4b2f-8a6a-fc9b75f451a7 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:36:01.790332Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c48b333d-5f01-4c90-8b43-5a44db7eee13 · outbound

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

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 34

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Observation 09ebc99d-2e30-493a-99e6-02c869278f38 · outbound

This paper cites Videofusion: Decomposed diffusion models for high-quality video generation.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Videofusion: Decomposed diffusion models for high-quality video generation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:36:01.774778Z

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Observation 4369801d-eae4-41d2-9d92-d0386cb75f01 · outbound

This paper cites Latte: Latent Diffusion Transformer for Video Generation.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Latte: Latent Diffusion Transformer for Video Generation

Reference 36

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Observation df435bc0-cfe3-44b0-aeff-f205b4536f37 · outbound

This paper cites and Lee, W.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile and Lee, W

Reference 37

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Observation cca92412-a4ac-4814-9aee-d89e3f6c4bf8 · outbound

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Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Sora, 2024

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:36:01.759391Z

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Observation 71f51c61-a5a8-47b6-b1c6-029caaba7697 · outbound

This paper cites and Xie, S.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile and Xie, S

Reference 39

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Observation f95b307f-42c2-4129-a6fd-3bf2ab82a32d · outbound

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Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile High-resolution image synthesis with latent diffusion models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:36:01.734673Z

Source-reported events for the cited work

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Observation d9a83c0a-1467-4d86-853a-eb68bd8eaeee · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile High-resolution image synthesis with latent diffusion models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:36:01.718989Z

Source-reported events for the cited work

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Observation c68dbbd0-a155-4ac4-8e39-e520e894b14f · outbound

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

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Progressive Distillation for Fast Sampling of Diffusion Models

Reference 42

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Source-reported events for the cited work

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Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Adversarial Diffusion Distillation

Reference 43

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Source-reported events for the cited work

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Observation d3c89bfd-6543-412a-ac7b-0ced928d0023 · outbound

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Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Denoising Diffusion Implicit Models

Reference 44

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Observation 75110f21-8cc3-4805-8c5d-3b1bdc07800e · outbound

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Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Consistency Models

Reference 45

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Source-reported events for the cited work

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Observation a543757e-31a1-43ac-90c6-f7400c65e591 · outbound

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Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Roformer: Enhanced transformer with rotary position embedding

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.767848Z

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Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Diffusion Models Are Real-Time Game Engines

Reference 47

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Observation 962af9a9-3917-4d53-8bb3-db2c8ba70ff0 · outbound

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Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Cuttlefish: Low-rank model training without all the tuning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:36:01.693012Z

Source-reported events for the cited work

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Observation 69b1b477-c1dd-4da0-b5e0-3b25019a5d32 · outbound

This paper cites PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference

Reference 49

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Observation 0fb27e87-ed33-484a-86bd-24e83633a040 · outbound

This paper cites Qihoo-T2X: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Any-Task.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Qihoo-T2X: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Any-Task

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-08T16:36:01.090091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 586ff3f7-6c6c-4c4a-8596-c622ab16b7c8 · outbound

This paper cites VideoLCM: Video Latent Consistency Model.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile VideoLCM: Video Latent Consistency Model

Reference 51

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Observation 505231f3-b775-4e20-8697-4982d873e473 · outbound

This paper cites LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models

Reference 52

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Observation 5f3bfb9b-99d0-41a7-87be-8553a1dfd701 · outbound

This paper cites Pandora: Towards General World Model with Natural Language Actions and Video States.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Pandora: Towards General World Model with Natural Language Actions and Video States

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.802081Z

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Observation 045bff2a-e539-43cd-80cd-901e0b89437b · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Efficient Streaming Language Models with Attention Sinks

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.806932Z

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Observation 9de7b43a-c1d2-4d43-8971-9a792400f717 · outbound

This paper cites TLCM: Training-efficient Latent Consistency Model for Image Generation with 2-8 Steps.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile TLCM: Training-efficient Latent Consistency Model for Image Generation with 2-8 Steps

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.811851Z

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Observation d942cf6c-18c6-4c23-948e-73da7d12d445 · outbound

This paper cites LongVILA: Scaling Long-Context Visual Language Models for Long Videos.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.816958Z

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Observation da45e496-bf4d-48ae-91b9-c1f1b5849839 · outbound

This paper cites mT5: A massively multilingual pre-trained text-to-text transformer.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile mT5: A massively multilingual pre-trained text-to-text transformer

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.821782Z

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Observation 2239970b-c879-4ee0-a22c-4c9f7a1fa120 · outbound

This paper cites PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.827553Z

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Observation 7a8a4519-ee6a-4f1e-8643-46e7dffecd73 · outbound

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

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.832860Z

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Observation 39034598-b7e8-44b1-a69c-6b5c30bdb504 · outbound

This paper cites T., and Park, T.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile T., and Park, T

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:36:01.676982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8725a39c-57b3-4256-a970-bc42a964c472 · outbound

This paper cites S., Kim, G.-W., Kim, S., and Chun, B.-G.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile S., Kim, G.-W., Kim, S., and Chun, B.-G

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.842255Z

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Observation 3ae35f44-79de-4022-a59b-27ccad8757b2 · outbound

This paper cites Q-hitter: A better token oracle for efficient llm inference via sparse-quantized kv cache.

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Q-hitter: A better token oracle for efficient llm inference via sparse-quantized kv cache

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:36:01.649692Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f39a16b3-dd90-4c9b-967d-e44aa98714ae · outbound

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

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile H2o: Heavy-hitter oracle for efficient generative inference of large language models

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:36:01.634544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 66cc62c7-cdbc-4ebc-a43a-82c162f99ce3 · outbound

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

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Real-Time Video Generation with Pyramid Attention Broadcast

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-08T16:36:00.856578Z

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Observation 02022250-effe-41ba-b5b2-f5ebfd8b6a11 · outbound

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

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Open-sora: Democratizing efficient video production for all, March 2024

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:36:01.618102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 008a59f2-17ab-48b3-91c7-ab475280a28d · inbound

Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers cites this paper.

Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T11:15:14.861189Z

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

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space cites this paper.

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

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Observation 973b95b9-d8d5-4b68-b726-7c95623b619c · inbound

FrameDiT: Diffusion Transformer with Matrix Attention for Efficient Video Generation cites this paper.

FrameDiT: Diffusion Transformer with Matrix Attention for Efficient Video Generation Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:30:01.676254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1cd29495-3fdc-4fb0-b51f-6c0b3c14d5f8 · inbound

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

SURF: Signature-Retained Fast Video Generation Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-21T18:14:17.530161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2045bde9-21ee-41bd-a5a1-7b8dcb8be5b8 · inbound

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

Efficient Video Diffusion Models: Advancements and Challenges Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile

Reference 253

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:03:26.274718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3a8ccec0-e467-4c0b-975b-0a4a56fcb7f0 · inbound

Kaleido: Algorithm-Hardware Co-Design for Video Diffusion Transformers by Exploiting Latent Space Correlations cites this paper.

Kaleido: Algorithm-Hardware Co-Design for Video Diffusion Transformers by Exploiting Latent Space Correlations Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T03:51:43.943264Z

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Observation d95da06c-d323-4e3b-8906-bdae06a2850c · inbound

CODA: Algorithm-Hardware Co-design for Edge Video Diffusion via NMP-Enabled Compute-Cache Operator Disaggregation cites this paper.

CODA: Algorithm-Hardware Co-design for Edge Video Diffusion via NMP-Enabled Compute-Cache Operator Disaggregation Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T00:49:33.632515Z

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Observation 2ed05fa7-6588-4b8f-a38b-f139a7e59178 · inbound

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers cites this paper.

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:07.984738Z

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Observation 2130302b-c659-4d29-bfc2-118e11d201be · inbound

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference cites this paper.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T20:50:03.963203Z

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