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Paper Citation Record · LEDGER

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

As of 16 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 43 inbound Pith citation observations for arXiv:2411.19108.

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

pith.paper-citation-record.v1
2411.19108 v2

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:35:25.322904Z

measured 105 of 105 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 43 of 43 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:33:44.522639Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

62 of 62 outbound references displayed

  • verified exact0
  • verified fuzzy15
  • unresolved47
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 97179b0a-7df1-4036-b96b-cb01d122044e · outbound

This paper cites https://www.genmo.ai.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model https://www.genmo.ai

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T10:35:24.985014Z digest=sha256:5fff1de9e6accd45371edcfc87187e614b783ff4a9517b182ef78c3b3c83102d

Observation 04264821-0109-4d98-b757-d9402ec03009 · outbound

This paper cites vchitect-2.0: Parallel transformer for scaling up video diffusion models, 2024.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model vchitect-2.0: Parallel transformer for scaling up video diffusion models, 2024

Reference 2

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T10:35:24.990138Z digest=sha256:f21555004e19f26c266ab3b3fb23ccd678a4ee35c236c2acff9f85ae70aee59e

Observation 55e8e644-14df-4a66-be6c-86b9e3fb92f4 · outbound

This paper cites Selective cache ways: On-demand cache resource allocation.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Selective cache ways: On-demand cache resource allocation

Reference 3

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 472b89b3-4891-4dc7-a2f1-4eb3cfbd4b75 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 4

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source=pdf_text observed=2026-08-12T10:35:25.003650Z digest=sha256:1c8d72da073d4362cce2cb0519ac0897a38af693cf31d7af04078fc479ded055

Observation 7c452f78-74b7-4aa2-a8a5-eb7bee316c00 · outbound

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

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Token merging for fast sta- ble diffusion

Reference 5

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source=pdf_text observed=2026-08-12T10:35:25.009082Z digest=sha256:e4bbbdc1bb599292e372373bd14bf4baf61d6ef4f8bf24cd588489838823b429

Observation cdaeb48c-c9c2-4a30-9ec3-b4fee03d0beb · outbound

This paper cites VideoCrafter1: Open Diffusion Models for High-Quality Video Generation.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Reference 6

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source=pdf_text observed=2026-08-12T10:35:25.034676Z digest=sha256:82f602815fcf7dce484b48bd08f747cc5b7481d9cb36c12281e3f78b5b0d797c

Observation 006ed27f-9d6d-4235-9010-bdfb9191f2e3 · outbound

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

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Videocrafter2: Overcoming data limitations for high-quality video diffu- sion models

Reference 7

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Observation cb74b0b9-2954-48ca-872f-c655a2dfe815 · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 8

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source=pdf_text observed=2026-08-12T10:35:25.046512Z digest=sha256:5871c0f058311060b1b98f81d9a427d19699b2f22b032a3a06e5662ecb6708ad

Observation 2b756592-5889-4bd1-b4c3-1ca4489856be · outbound

This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Reference 9

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source=pdf_text observed=2026-08-12T10:35:25.051592Z digest=sha256:cdac8f43c123990711e9630a1974237414f926532883199c59b1b315ea514672

Observation 47a9078b-fd44-4cd4-81c3-95d6d4496e6d · outbound

This paper cites Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers

Reference 10

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source=pdf_text observed=2026-08-12T10:35:25.056505Z digest=sha256:5946384372fee954f229949271f7769400c378a4612ff40acf3fee0a4e815bc3

Observation 3378b0c8-7979-4a26-85fb-1edaa96330eb · outbound

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

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model $\Delta$-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers

Reference 11

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source=pdf_text observed=2026-08-12T10:35:25.061390Z digest=sha256:ea771d35689b1bd29138e953c53193bdbe763edfd29c70070b3d855c10ab3f51

Observation 7938b41e-1c32-44d5-9ea8-0f88f95ebd75 · outbound

This paper cites Flashattention: Fast and memory-efficient exact at- tention with io-awareness.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Flashattention: Fast and memory-efficient exact at- tention with io-awareness

Reference 12

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Observation 2621a706-e388-4d3b-80cf-b30c6ed6c219 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Diffusion models beat gans on image synthesis

Reference 13

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Observation 7fe28d5a-7246-4344-83c4-a07999c297a2 · outbound

This paper cites Using cache memory to reduce processor-memory traffic.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Using cache memory to reduce processor-memory traffic

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7cdfdd0a-4666-4ab8-b5e0-109e7fb7e9eb · outbound

This paper cites Ptqd: Accurate post-training quantization for diffusion models.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Ptqd: Accurate post-training quantization for diffusion models

Reference 15

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Observation debb55e3-99d3-4d8a-95f1-8cb7b6675adc · outbound

This paper cites Denoising dif- fusion probabilistic models.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Denoising dif- fusion probabilistic models

Reference 16

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source=pdf_text observed=2026-08-12T10:35:25.084820Z digest=sha256:b235c01627adc6d672f1dccbacc682248027327cedc6be2de5da0b5858c5a789

Observation e8d11bf1-ee2c-415d-8277-9b42647ab795 · outbound

This paper cites Video dif- fusion models.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Video dif- fusion models

Reference 17

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Observation ee16a381-dc80-415b-8911-2a56f387d6e5 · outbound

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

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Vbench: Comprehensive bench- mark suite for video generative models

Reference 18

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Observation b04f8647-a0a7-4af1-81fb-55376c108ea7 · outbound

This paper cites Gotta Go Fast When Generating Data with Score-Based Models.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Gotta Go Fast When Generating Data with Score-Based Models

Reference 19

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source=pdf_text observed=2026-08-12T10:35:25.097136Z digest=sha256:339b286720af27697637b83ceda10c6aaae87eebe13a0c3903d97e48b4b982c0

Observation e63495fc-9aab-4e85-b843-7f0c40192753 · outbound

This paper cites Adaptive Caching for Faster Video Generation with Diffusion Transformers.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Adaptive Caching for Faster Video Generation with Diffusion Transformers

Reference 20

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Observation 26b73969-baec-4ce9-b3bb-2c303bae9b1b · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Elucidating the design space of diffusion-based generative models

Reference 21

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source=pdf_text observed=2026-08-12T10:35:25.107028Z digest=sha256:b5016875bbafe003ca615686d9ba2643cfbe0d4f09291f5d8a988ba96853ad2a

Observation 38ede9be-a8f9-4afa-88f2-a237ca07a907 · outbound

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

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Open-sora: De- mocratizing efficient video production for all, 2024

Reference 22

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source=pdf_text observed=2026-08-12T10:35:25.111789Z digest=sha256:59cd6643c14c03487c50f587f8a9d170c215ab19d0c2ea78b75951b7a4e083dc

Observation 45aa8dc9-5a4e-445c-bf32-ff1a7a65d2be · outbound

This paper cites Distri- fusion: Distributed parallel inference for high-resolution dif- fusion models.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Distri- fusion: Distributed parallel inference for high-resolution dif- fusion models

Reference 23

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Observation bde274b4-af63-4a34-a80b-04f9ed2a0af9 · outbound

This paper cites Faster diffusion: Rethinking the role of unet encoder in diffusion models.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Faster diffusion: Rethinking the role of unet encoder in diffusion models

Reference 24

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source=pdf_text observed=2026-08-12T10:35:25.121569Z digest=sha256:8e5c7eeca5037dc6c2fce7c3aa3cacebd33ebe22057aaf77f7a72b8f3a294483

Observation dd55ecb8-eb38-4227-987b-f60aab3f69f9 · outbound

This paper cites Snap- fusion: Text-to-image diffusion model on mobile devices within two seconds.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Snap- fusion: Text-to-image diffusion model on mobile devices within two seconds

Reference 25

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source=pdf_text observed=2026-08-12T10:35:25.128058Z digest=sha256:0246e960029144d2b345661a6ed3f999cef8acd24994a4eb1e7adc23ebee1e2c

Observation 929e15e8-3795-47fe-b637-a4d24489de82 · outbound

This paper cites Q-dm: An efficient low-bit quantized dif- fusion model.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Q-dm: An efficient low-bit quantized dif- fusion model

Reference 26

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source=pdf_text observed=2026-08-12T10:35:25.133053Z digest=sha256:2b9700be3efb2050a1b0070933cc873f9fa363becf169af56a19ee17d6ca0cf7

Observation 5fdb4bd9-cfcd-4194-9f9b-82f956709ac7 · outbound

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

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 27

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source=pdf_text observed=2026-08-12T10:35:25.138865Z digest=sha256:197849f2dac08e2fc30a0bfbbab54a8f2f3af3cdb7481374cfae72ea39644160

Observation 377df51c-2154-43b6-98d4-ea33f6155679 · outbound

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

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 28

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Observation 68a0aaec-fdd3-4b73-bae6-5599a05d2e0d · outbound

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

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality

Reference 29

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Observation 341681d0-0496-45bd-a0a4-13778bcc08dd · outbound

This paper cites Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching

Reference 30

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Observation 292e3a1c-7042-40ac-b96d-8f9e8dc2f749 · outbound

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

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Latte: Latent Diffusion Transformer for Video Generation

Reference 31

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Observation 7bd79edd-b186-4e84-9fed-bcd049054622 · outbound

This paper cites On distillation of guided diffusion models.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model On distillation of guided diffusion models

Reference 32

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Observation 7e2813c9-00ff-4683-b6bb-adc8523c5c59 · outbound

This paper cites Sora, 2024.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Sora, 2024

Reference 33

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 739237cd-bf3b-4e1a-8db4-1e157bb76474 · outbound

This paper cites Scalable diffusion models with transformers.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Scalable diffusion models with transformers

Reference 34

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Observation fd310fbf-ea5d-4b44-958f-5fc7f1b15713 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 35

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Observation 866b22d9-e196-46fa-831a-1ecaf66b1e7b · outbound

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

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model High-resolution image synthesis with latent diffusion models

Reference 36

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:35:25.191947Z digest=sha256:878cef674569e29ab2db684087733b14b45d1bc71ab8d36d849620b99504001e

Observation 01242e0f-93da-4749-b85f-e4790a64a61e · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Photorealistic text-to-image diffusion models with deep language understanding

Reference 37

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source=pdf_text observed=2026-08-12T10:35:25.196972Z digest=sha256:37d7b300fe8fadbeadfde4075e1741988b95ae773f3c8a1d8aece980c4c90510

Observation 9b2bbf7d-fa05-48bc-aabc-7729ab005283 · outbound

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

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Progressive Distillation for Fast Sampling of Diffusion Models

Reference 38

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source=pdf_text observed=2026-08-12T10:35:25.201313Z digest=sha256:62f311716f0cde8eb5dbaa5a367d8c22ac287203a117d9d315af0b6231639f01

Observation 94a22efc-54f7-4a2e-897a-49d8ef9b532e · outbound

This paper cites Adversarial Diffusion Distillation.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Adversarial Diffusion Distillation

Reference 39

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source=pdf_text observed=2026-08-12T10:35:25.206160Z digest=sha256:4728448af6154ef33840fb952140277e5f5945b63b8358afa3638ef59f12ebb6

Observation f796308b-47fd-4d33-a721-3f3f5cffbad5 · outbound

This paper cites FORA: Fast-Forward Caching in Diffusion Transformer Acceleration.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model FORA: Fast-Forward Caching in Diffusion Transformer Acceleration

Reference 40

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source=pdf_text observed=2026-08-12T10:35:25.212199Z digest=sha256:a5f9ef5ac28bb6239f88b24cb9ca55755b81d2db18c5f4a96a786ff70d98846b

Observation ebff6023-8f15-446a-8cec-d01ded3b1cd2 · outbound

This paper cites Post-training quantization on diffusion models.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Post-training quantization on diffusion models

Reference 41

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source=pdf_text observed=2026-08-12T10:35:25.217173Z digest=sha256:39dc726b4012918b4175758a8bf0c8dc3c50b35fa097a20b38aacc449d674f3e

Observation ba9f244d-daa5-45df-97d5-716552179099 · outbound

This paper cites Parallel sampling of diffusion models.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Parallel sampling of diffusion models

Reference 42

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raw_fallback, observed 2026-08-12T10:35:25.918563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T10:35:25.222122Z digest=sha256:8c27a244ce5f56f93c3a8e8ae1f6cd46d7f324ecddae62693ded69789203c86f

Observation 84b2a715-bc8c-4ac9-bfc8-3142898d5b3b · outbound

This paper cites Cache memories.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Cache memories

Reference 43

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T10:35:25.227278Z digest=sha256:9763f3571c649f0a890b38a0a7583611c256b7676dc503f03abd85556eb5af46

Observation 6203434a-27c6-4597-9429-3d18c37ff933 · outbound

This paper cites FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models

Reference 44

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source=pdf_text observed=2026-08-12T10:35:25.232244Z digest=sha256:5acf56fe13d2fff40e8e7c38102305cf6f86ba0ae271333dc0d755193723f2c7

Observation 26da97ea-c37b-4597-9add-5c1545a02203 · outbound

This paper cites Temporal dynamic quantization for dif- fusion models.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Temporal dynamic quantization for dif- fusion models

Reference 45

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source=pdf_text observed=2026-08-12T10:35:25.236958Z digest=sha256:3bc6f042aaa4c9717abac61846383cbb7fc4d5dd07e9eb212b1bd2892b879870

Observation 4a598285-6b47-46e9-9e46-4545e5ad4d62 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Deep unsupervised learning using nonequilibrium thermodynamics

Reference 46

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raw_fallback, observed 2026-08-12T10:35:25.877329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T10:35:25.242439Z digest=sha256:1d1711027740d5f10ab7b20cb158754197d1b1ca7d3758d58bd3e0ec1a6e5f3c

Observation 526c49fc-54a9-444b-a823-a2a32080325d · outbound

This paper cites Denoising Diffusion Implicit Models.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Denoising Diffusion Implicit Models

Reference 47

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source=pdf_text observed=2026-08-12T10:35:25.247192Z digest=sha256:72a719bdfadf56dc8fad2be7612f06d59415fe2800f078380fdfe40c1ec2bab1

Observation 104c8ebf-5f1b-46d2-887c-4cd935e89d1e · outbound

This paper cites Generative modeling by esti- mating gradients of the data distribution.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Generative modeling by esti- mating gradients of the data distribution

Reference 48

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raw_fallback, observed 2026-08-12T10:35:25.864189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T10:35:25.251980Z digest=sha256:c6471433c5f04f90361da4293ccb68ad075873b3057286f968a7402d6b4b77be

Observation 861d0eac-fb3b-454f-be59-5f820e079863 · outbound

This paper cites T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation

Reference 49

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source=pdf_text observed=2026-08-12T10:35:25.256572Z digest=sha256:a81f384fade85d5f8877e239df6a05b155526f4ab4c0c90357dc53f8f95e8bfa

Observation 4e9f8e2f-b216-409e-84b5-a3d4856bbda4 · outbound

This paper cites Attention is all you need.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Attention is all you need

Reference 50

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source=pdf_text observed=2026-08-12T10:35:25.262186Z digest=sha256:acf37081688b09e9336e2baad3989228c01a7fee1f1a902671b8e9e6d301ed2e

Observation 51459af3-b8b5-4c03-92c0-b99ea514e7c8 · outbound

This paper cites Attention-driven training-free efficiency enhancement of diffusion models.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Attention-driven training-free efficiency enhancement of diffusion models

Reference 51

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source=pdf_text observed=2026-08-12T10:35:25.267173Z digest=sha256:0c689a6858b28b1db6f504080d45f3fd190e6ae2b77f289e5374456f42f11efd

Observation 26c771a4-79a3-4bcc-acaa-ba60c350c485 · outbound

This paper cites ModelScope Text-to-Video Technical Report.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model ModelScope Text-to-Video Technical Report

Reference 52

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T10:35:25.272606Z digest=sha256:b9314aafe238f61f08e09b0c6abad3fd308993b394ec3f43080b8a6dbb2572c3

Observation 29010b2f-c970-4667-8a0b-4fb7da60a580 · outbound

This paper cites VideoLCM: Video Latent Consistency Model.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model VideoLCM: Video Latent Consistency Model

Reference 53

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source=pdf_text observed=2026-08-12T10:35:25.278447Z digest=sha256:e77ddcc7f69354af87db5c387b2a63950935e9a1ef8030e7961595aba9a195ca

Observation dae55bc7-9152-4a36-b0d4-1c39c36e38e6 · outbound

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

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Dreamvideo: Composing your dream videos with customized subject and motion

Reference 54

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source=pdf_text observed=2026-08-12T10:35:25.283262Z digest=sha256:d65c0f7ab94cc762bd363640c3aa8cad52115cf0758e2625cd1676b1d57f7384

Observation 063062ca-a90e-4c69-8141-c752b048d596 · outbound

This paper cites DreamVideo-2: Zero-Shot Subject-Driven Video Customization with Precise Motion Control.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model DreamVideo-2: Zero-Shot Subject-Driven Video Customization with Precise Motion Control

Reference 55

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T10:35:25.287684Z digest=sha256:4db734b847ec6b2a1bb58120d299862ac84aa0e96a976cd9f60fec924b816ce0

Observation 384ca5bd-d1e9-427e-acb8-56a819a5a6bc · outbound

This paper cites Cache me if you can: Accel- erating diffusion models through block caching.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Cache me if you can: Accel- erating diffusion models through block caching

Reference 56

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raw_fallback, observed 2026-08-12T10:35:25.823049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T10:35:25.293339Z digest=sha256:539ebde7012e78a635b358acfac9f9a95e2e0e51b264bfa5ea71f85128c1716c

Observation 646a25b3-127d-4a73-ba9f-4132159862cc · outbound

This paper cites Deepcache: Principled cache for mo- bile deep vision.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Deepcache: Principled cache for mo- bile deep vision

Reference 57

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raw_fallback, observed 2026-08-12T10:35:25.806803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T10:35:25.297552Z digest=sha256:c73b59473db34b0a9c031829576f42ac7221c0bf71e440a0ad8f1c18395b9071

Observation 1906887c-c42c-4b08-a9cc-e6e0062249d2 · outbound

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

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 58

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source=pdf_text observed=2026-08-12T10:35:25.302075Z digest=sha256:5be1569a91e949d1032d10c795275e3b30c5a6929359a97013d706a87475adf6

Observation abd74348-418b-4466-878c-0304f75000f1 · outbound

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

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model The unreasonable effectiveness of deep features as a perceptual metric

Reference 59

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source=pdf_text observed=2026-08-12T10:35:25.307280Z digest=sha256:fd442d454afe3ca87a82792ba0963abbc3ad5030462d913530f01d1ad8841c73

Observation 01a77eed-fb21-4c66-9834-d9bae9758e76 · outbound

This paper cites Faster Diffusion via Temporal Attention Decomposition.

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Faster Diffusion via Temporal Attention Decomposition

Reference 60

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source=pdf_text observed=2026-08-12T10:35:25.312390Z digest=sha256:e2ffe5d15c76b7c7cfb37cdc3ac686a81f676d65b62b64df00c8e957bd96e109

Observation 1f632e71-6d94-470b-b1bc-91110b680118 · outbound

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

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Real-Time Video Generation with Pyramid Attention Broadcast

Reference 61

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no resolver link, observed 2026-08-12T10:35:25.317720Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T10:35:25.317720Z digest=sha256:73853e0cde8f68517d59d13fdb55336a2ac593ce4854925fa89dfad475219b12

Observation f2dc8aee-b85c-448c-b22f-cd78746542fa · outbound

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

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Open-sora: Democratizing efficient video production for all, 2024

Reference 62

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raw_fallback, observed 2026-08-12T10:35:25.779299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T10:35:25.322904Z digest=sha256:f0012c6e39dae2bf1fdf1b975729127602f1fd6a6e62a391d27cd7a7cbdc82ee

Pith citing papers

Observation 5bb877a6-12e6-4fb8-adc0-6608a723ee47 · inbound

Identity-Preserving Text-to-Video Generation by Frequency Decomposition cites this paper.

Identity-Preserving Text-to-Video Generation by Frequency Decomposition Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 38

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source=pdf_text observed=2026-08-12T12:10:27.260005Z digest=sha256:9e1e641f1474517c2d8c170363b98047a68199f763424a692a8d068268552d78

Observation 63e184d8-eab0-4bb3-99e9-24c9409942c3 · inbound

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

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 26

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no resolver link, observed 2026-08-09T14:35:10.511735Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-09T14:35:10.511735Z digest=sha256:e3331b64a9324f845f4720cb9e6ceaf829d62ca028c0984586a49410d0fe7e86

Observation 23ff9b97-c615-43f4-97c7-9672e6d21f9e · inbound

SkyReels-V2: Infinite-length Film Generative Model cites this paper.

SkyReels-V2: Infinite-length Film Generative Model Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 70

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arxiv_id, observed 2026-05-14T20:23:04.175073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-14T20:23:04.022599Z digest=sha256:dc1a705dc8ba891ba34dab6729b573993947fea6fecbefcdaeeab076bb52573d

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

SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation cites this paper.

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

Reference 18

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no resolver link, observed 2026-08-07T14:23:19.129754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:23:19.129754Z digest=sha256:8d83ee51d2c92c57846702b20474389403d424dd6477b3193271287dedba407c

Observation 800eea90-808a-45e7-b61e-bcd224ae6bfd · inbound

SkyReels-Audio: Omni Audio-Conditioned Talking Portraits in Video Diffusion Transformers cites this paper.

SkyReels-Audio: Omni Audio-Conditioned Talking Portraits in Video Diffusion Transformers Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 40

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no resolver link, observed 2026-08-07T12:01:07.173781Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:01:07.173781Z digest=sha256:a5e4056e0f3e4c99fcb378a8d3ee72607ad459602ac8bc9cc1389ab9162a7b21

Observation ecff04f6-bdca-4c98-b052-00923f6c1cef · 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 Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:16.056909Z digest=sha256:07460f5293e835a00f41ec414c36d37f803fe64d17baa5a46748287d832f268f

Observation 0efc2303-dfbe-482c-8e56-0c3042dfc67e · inbound

Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas cites this paper.

Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 26

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no resolver link, observed 2026-08-07T11:18:55.668103Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:18:55.668103Z digest=sha256:e1c3103e10f4a9c9dd4644a18d6ff27e576cdd0be226a570cb5672ad0de44bc5

Observation 5128d671-546f-4ca8-968a-a7093d41c047 · inbound

Block-wise Adaptive Caching for Accelerating Diffusion Policy cites this paper.

Block-wise Adaptive Caching for Accelerating Diffusion Policy Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 13

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verified exact
arxiv_id, observed 2026-05-19T09:37:14.018847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-19T09:36:09.790248Z digest=sha256:488b78188438ebafcefdb1e3c2f887ba4e2b794234b736f7a0e76070dc659bc1

Observation fefd7169-0c31-4ab7-b852-3edbf67d3a8f · inbound

SADA: Stability-guided Adaptive Diffusion Acceleration cites this paper.

SADA: Stability-guided Adaptive Diffusion Acceleration Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 5

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no resolver link, observed 2026-08-06T15:06:47.872607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:06:47.872607Z digest=sha256:5eff76fb0c02ffebc6e9d3dca81d7ae54fe5dc201fa15b1059d3c157b2dbdb57

Observation 6dd19402-292f-471c-aeb7-784c3b60920b · inbound

TaoCache: Structure-Maintained Video Generation Acceleration cites this paper.

TaoCache: Structure-Maintained Video Generation Acceleration Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 9

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no resolver link, observed 2026-08-15T17:33:44.522639Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T17:33:44.522639Z digest=sha256:b86c6a2bc159648ab42aa5cf3b874f52e79002111c6e33ca481fa88bd3b8d057

Observation 88147c4c-c151-485e-8aa9-0310db47931c · inbound

OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models cites this paper.

OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 26

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no resolver link, observed 2026-08-05T17:42:57.175316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:42:57.175316Z digest=sha256:f3c63e14bbc97210e09073eeb85a0706d4e98616fa2a5b90cae9bd6dadfdfa57

Observation 596a2ecd-0443-4861-b185-fa1035d94e85 · inbound

Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation cites this paper.

Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T11:28:53.808272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:28:53.808272Z digest=sha256:b76df735434a2a8c4aa2528593b0f149252577bcd4724d864e32c3e9adddc423

Observation 99207b72-0724-4085-8857-5336985bab56 · inbound

DriveGen3D: Boosting Feed-Forward Driving Scene Generation with Efficient Video Diffusion cites this paper.

DriveGen3D: Boosting Feed-Forward Driving Scene Generation with Efficient Video Diffusion Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T09:29:18.284363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:29:18.284363Z digest=sha256:ba0eccbfbf73ea86f66efc93cd53f49994ebb7b5a7c26f38c3033280603d313f

Observation cd583a41-a96d-41f9-b6cc-d24ea91d6a8e · inbound

FSampler: Training Free Acceleration of Diffusion Sampling via Epsilon Extrapolation cites this paper.

FSampler: Training Free Acceleration of Diffusion Sampling via Epsilon Extrapolation Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T22:44:26.672923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:44:26.672923Z digest=sha256:eb96e491d006d9a806ba725a64a2b05feaeeef27676f26f2213938660525eab2

Observation 0ddc2c0c-9ce7-4a16-be34-85ed0b4e524d · inbound

AdaCorrection: Adaptive Offset Cache Correction for Accurate Diffusion Transformers cites this paper.

AdaCorrection: Adaptive Offset Cache Correction for Accurate Diffusion Transformers Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:56:50.233337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-15T22:55:15.572867Z digest=sha256:2cde94cff0646b205aae67fe9cc732b604d3159f681d911c12c249f856b9cd3e

Observation aa83b434-9a06-49d1-8ac5-e521094465c5 · inbound

EchoTorrent: Towards Swift, Sustained, and Streaming Multi-Modal Video Generation cites this paper.

EchoTorrent: Towards Swift, Sustained, and Streaming Multi-Modal Video Generation Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:20:22.287438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-15T22:20:16.320171Z digest=sha256:ec19bafba6548b718d0c526be91450a7db58c01a31cb7337f149506c3eedc3d2

Observation 0b272dd6-30e5-4b0e-bc5d-a57b64d2d314 · inbound

World Action Models are Zero-shot Policies cites this paper.

World Action Models are Zero-shot Policies Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:18:15.469639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-11T16:18:15.003371Z digest=sha256:3fe53831aecd2fa9f6ecfd8c3b98c538b1e10f28db620f8724ceb696183c40ce

Observation 34ad50a2-82bd-4c20-ad16-8b8f12bd337c · inbound

Video Compression Meets Video Generation: Latent Inter-Frame Pruning with Attention Recovery cites this paper.

Video Compression Meets Video Generation: Latent Inter-Frame Pruning with Attention Recovery Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T16:06:14.418946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-15T16:05:36.307084Z digest=sha256:2cde808d5847c6488bb82c1ade236ed84b9be78bf80473fc8df2022f38a9240d

Observation c7dce964-90d9-418b-ac6d-16c3ef17a8f8 · inbound

CoCoDiff: Optimizing Collective Communications for Distributed Diffusion Transformer Inference Under Ulysses Sequence Parallelism cites this paper.

CoCoDiff: Optimizing Collective Communications for Distributed Diffusion Transformer Inference Under Ulysses Sequence Parallelism Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T10:24:20.659062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T10:23:19.236803Z digest=sha256:a4f3e629f503a40e44b8211547ff69544b49edbd76346885c909514124a10b85

Observation 73f6179f-ca26-4b7f-ab34-2a4b91b57476 · inbound

LayerCache: Exploiting Layer-wise Velocity Heterogeneity for Efficient Flow Matching Inference cites this paper.

LayerCache: Exploiting Layer-wise Velocity Heterogeneity for Efficient Flow Matching Inference Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:56:05.142805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T15:15:42.201352Z digest=sha256:18d5d47ec543617ed8330e8eb4c57f892ddeac0da69eaca832be73ab41652d78

Observation 23c93f6a-761c-45cb-bb48-dc6d9d55f282 · inbound

Characterizing Vision-Language-Action Models across XPUs: Constraints and Acceleration for On-Robot Deployment cites this paper.

Characterizing Vision-Language-Action Models across XPUs: Constraints and Acceleration for On-Robot Deployment Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:16:50.467440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-08T03:04:46.460069Z digest=sha256:5f85c649acd77a43d90e6df3c416838a771ad0d2ea8bd877f04c8f5a9a639a0b

Observation 3aadcf42-6994-41ab-ae46-43d194d47158 · inbound

AtlasVid: Efficient Ultra-High-Resolution Long Video Generation via Decoupled Global-Local Modeling cites this paper.

AtlasVid: Efficient Ultra-High-Resolution Long Video Generation via Decoupled Global-Local Modeling Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-20T18:28:53.013341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-20T18:26:57.735246Z digest=sha256:0cb864f2d56d532b81a1b702bb74414f848af26dc2e8b7ca6e627692e8973c23

Observation a5824871-4c89-4655-ba9f-4d591bb00c7a · inbound

Focused Forcing: Content-Aware Per-Frame KV Selection for Efficient Autoregressive Video Diffusion cites this paper.

Focused Forcing: Content-Aware Per-Frame KV Selection for Efficient Autoregressive Video Diffusion Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:23:14.168529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-20T11:19:21.721494Z digest=sha256:a5ccf754e6bbb32eaad0281301a5e39e38d0f92938b5213a2f8c05a311045827

Observation 1193c6b6-a676-4e3d-aa01-32d9926ae537 · inbound

Spectral Progressive Diffusion for Efficient Image and Video Generation cites this paper.

Spectral Progressive Diffusion for Efficient Image and Video Generation Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:08:13.349071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-20T11:07:47.135336Z digest=sha256:2c28efecfb9eb458fc5460e720652b4d1f57bc2a9340ac100899fe84d8b8890c

Observation f2fe85cf-9e4a-483a-8c78-af1a6b3fd9bd · inbound

Spectral Progressive Diffusion for Efficient Image and Video Generation cites this paper.

Spectral Progressive Diffusion for Efficient Image and Video Generation Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:54:02.712237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-21T07:52:07.409740Z digest=sha256:97a15b1243799bdf1ef60d091eeea00b2bed5afcf07c62422f7e865867e28b94

Observation 94ea5273-b1cc-4a6d-9e9a-8d1252fcc66d · inbound

Dynamic Video Generation: Shaping Video Generation Across Time and Space cites this paper.

Dynamic Video Generation: Shaping Video Generation Across Time and Space Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:43:58.810613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-21T05:42:41.925474Z digest=sha256:cadd97499ad73f43f5868c41244f4a8c6de2793dfef4eaf19ba9b0fa55b0aefc

Observation 6c723690-45c4-4979-a3ed-a63dc9f0d2ab · inbound

RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models cites this paper.

RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:43:54.744249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T19:40:42.033793Z digest=sha256:f7e1e6b74c844434c0e98f0976e5dddb050d4490bbd1c8707c4796f8c26e8695

Observation f0cb74a3-f572-4ff2-a896-8913fec8aa24 · inbound

Light Interaction: Training-Free Inference Acceleration for Interactive Video World Models cites this paper.

Light Interaction: Training-Free Inference Acceleration for Interactive Video World Models Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:26:00.128745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T22:43:32.749425Z digest=sha256:6f7f1b12a026e484c909141e191b15705836f7bd1303e7b628436160efb7ed0d

Observation da5311e7-4d0e-45cd-a281-d8e4310f9915 · inbound

Fewer, Better Frames: A Compute-Normalized Proof of Concept for Coherence-First World-Model Rendering with Model-Guided FSR4 Frame Generation cites this paper.

Fewer, Better Frames: A Compute-Normalized Proof of Concept for Coherence-First World-Model Rendering with Model-Guided FSR4 Frame Generation Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-06-30T22:25:06.899597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-30T22:23:32.586583Z digest=sha256:2b44caa5d0c1da42620475c1699d1994ee91063cb7ed5fc6103de5a5a188a93b

Observation 677d0f7e-6ce2-4926-84f0-a23980fc6713 · inbound

Dream-Tac: A Unified Tactile World Action Model for Contact-Rich Robot Manipulation cites this paper.

Dream-Tac: A Unified Tactile World Action Model for Contact-Rich Robot Manipulation Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:27:26.788785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T18:17:06.288698Z digest=sha256:8e74bf6cb5226be0fbbad420ba6aaad9a6ad76cc7495d31b39e9244c8a52953a

Observation 420336ef-e186-4a1b-93ab-92ec8e0f8e6e · inbound

Holding the FP8 Quality Ceiling at 8-Bit Weights and Activations: INT8 and GGUF Post-Training Quantization of Ideogram 4.0 for Consumer GPUs cites this paper.

Holding the FP8 Quality Ceiling at 8-Bit Weights and Activations: INT8 and GGUF Post-Training Quantization of Ideogram 4.0 for Consumer GPUs Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:17:58.014988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T10:05:40.235610Z digest=sha256:c2321888d50cadf0b5262d01d05cab8519afb309838bf252c7b8b7ae32237acc

Observation 23a8b186-74c6-4cfb-b00d-d4be89084a78 · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:09:36.661609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-26T16:15:22.543601Z digest=sha256:d6c6022fd4a8d698ffb9a69fd3351bef464b5da82b05f081857fd6ed0d57556b

Observation 9ab818e2-6e84-40f3-9a27-5b79999ae9de · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-02T10:49:05.219314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:49:05.219314Z digest=sha256:6b583fd9430879d39e3fb760493060898b02c0d0e4890984dcdff4ae1563547f

Observation 0ca74a97-562f-4df5-9db9-b55da7dd1a56 · inbound

Sol Video Inference Engine: Agent-Native Full-Stack Acceleration Framework for Efficient Video Generation cites this paper.

Sol Video Inference Engine: Agent-Native Full-Stack Acceleration Framework for Efficient Video Generation Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:49:41.599222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-26T11:05:44.972128Z digest=sha256:60de6878ad5dd120ab06557d101a22581651a3f79079ae13def10ebc63947bed

Observation 300fca46-9e07-43c6-9023-f235cc07afd3 · inbound

OTCache: Optimal Transport for Geometry-Aware Caching in Diffusion Models cites this paper.

OTCache: Optimal Transport for Geometry-Aware Caching in Diffusion Models Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T06:25:26.872128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-01T06:21:22.905093Z digest=sha256:4262e1bc7c8d37f800a7a21541bfa3c10b80c777efc713d1e4e645bd6ee1fb7c

Observation a3120385-6d3b-49f7-9644-9cd9fb06c511 · inbound

Dynamic-in-Few-Step: Unifying Dynamic Computation and Few-Step Distillation for Efficient Video Generation cites this paper.

Dynamic-in-Few-Step: Unifying Dynamic Computation and Few-Step Distillation for Efficient Video Generation Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-07-11T01:07:45.288467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-11T00:59:42.327170Z digest=sha256:3b8e1d51f44f2d1671418b9fecb0aebf5bcb22a886852e166db8f9396d82be8d

Observation f425a1f5-fdf3-410c-8feb-a0ac9bdfc956 · inbound

Xema: Efficient Diffusion Serving through Fine-Grained Memory Management and Auto-Configuration cites this paper.

Xema: Efficient Diffusion Serving through Fine-Grained Memory Management and Auto-Configuration Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-14T06:49:04.349040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:49:04.349040Z digest=sha256:a99dc26871fcb05669e3087b76f749e622a98e8758623545789bda6cb75e2652

Observation 54f1dcd7-6302-4b01-b054-f79e9c877697 · 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 Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T03:51:47.570733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:51:47.570733Z digest=sha256:ab0a3e65396ba0908acfcc1b2b07b664c135a14adc5c9fe8ba65d95f2145870b

Observation 65fd817b-e886-4c5e-947a-82f23374cf2c · inbound

DiTango: Cost-Effective Parallel Diffusion Generation with Selective Attention State Reuse cites this paper.

DiTango: Cost-Effective Parallel Diffusion Generation with Selective Attention State Reuse Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T22:45:26.485433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:45:26.485433Z digest=sha256:40b1d1883076b41ca361d57801096070d8fc34155ab8ba4bc6f1be5e06ccc467

Observation d04fc2e6-1b1e-4271-83d8-c7f9953015dc · inbound

CachedSearch: Training-Free Cached Exploration for Test-Time Search in Video Diffusion cites this paper.

CachedSearch: Training-Free Cached Exploration for Test-Time Search in Video Diffusion Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T03:30:24.903157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:30:24.903157Z digest=sha256:0990854d7dd09dd723dc88b28639c76585d9b56607186accfaf4ca5659c6c87e

Observation 5e9351c1-0cf5-4daa-a4cf-08e24974e79b · inbound

OmniCache: Multidimensional Hierarchical Feature Caching For Diffusion Models cites this paper.

OmniCache: Multidimensional Hierarchical Feature Caching For Diffusion Models Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-30T10:48:14.729096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T10:48:14.729096Z digest=sha256:feb42a6d7f3c51cc6693cde39d644812490306b7120848b9ae968ca3b33ea47b

Observation 3c797104-23ac-4f2d-8747-6bb3179068d2 · inbound

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation cites this paper.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-31T17:08:12.727266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T17:08:12.727266Z digest=sha256:20c5359a57551eec0cc2e3e1261f11240e3b7165b53e5fa2907cfbc8ce424640

Observation b9097971-a8ca-47db-ac1e-560dfeb650fa · inbound

Alpha as an Efficiency Signal: Visibility-Routed RGBA Image-to-Video Generation cites this paper.

Alpha as an Efficiency Signal: Visibility-Routed RGBA Image-to-Video Generation Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T14:29:38.607556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:29:38.607556Z digest=sha256:1ef172353bb669bdebe0215bdfc6031c4373afbee6881697b8826d84d77dc871