Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:35:25.322904Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:35:25.322904Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:33:44.522639Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
62 of 62 outbound references displayed
External citation measurements
2
pith, observed 2026-08-05T02:28:24.338817Z
Observation 97179b0a-7df1-4036-b96b-cb01d122044e · outbound
Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model https://www.genmo.ai
Reference 1
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Reference 3
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Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
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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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Reference 9
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Observation 47a9078b-fd44-4cd4-81c3-95d6d4496e6d · outbound
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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Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model $\Delta$-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers
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Observation 7938b41e-1c32-44d5-9ea8-0f88f95ebd75 · outbound
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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Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Diffusion models beat gans on image synthesis
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Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Using cache memory to reduce processor-memory traffic
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Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Ptqd: Accurate post-training quantization for diffusion models
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Reference 17
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Observation ee16a381-dc80-415b-8911-2a56f387d6e5 · outbound
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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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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Observation e63495fc-9aab-4e85-b843-7f0c40192753 · outbound
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Reference 20
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Observation 26b73969-baec-4ce9-b3bb-2c303bae9b1b · outbound
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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Reference 22
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Reference 23
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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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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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Observation 929e15e8-3795-47fe-b637-a4d24489de82 · outbound
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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Observation 5fdb4bd9-cfcd-4194-9f9b-82f956709ac7 · outbound
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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Observation 377df51c-2154-43b6-98d4-ea33f6155679 · outbound
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
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
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
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
Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model On distillation of guided diffusion models
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Observation 7e2813c9-00ff-4683-b6bb-adc8523c5c59 · outbound
Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Sora, 2024
Reference 33
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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
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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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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Observation 01242e0f-93da-4749-b85f-e4790a64a61e · outbound
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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Observation 9b2bbf7d-fa05-48bc-aabc-7729ab005283 · outbound
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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Observation 94a22efc-54f7-4a2e-897a-49d8ef9b532e · outbound
Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Adversarial Diffusion Distillation
Reference 39
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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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Observation ebff6023-8f15-446a-8cec-d01ded3b1cd2 · outbound
Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Post-training quantization on diffusion models
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Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Parallel sampling of diffusion models
Reference 42
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Observation 84b2a715-bc8c-4ac9-bfc8-3142898d5b3b · outbound
Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Cache memories
Reference 43
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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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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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Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Deep unsupervised learning using nonequilibrium thermodynamics
Reference 46
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Reference 48
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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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Observation 4e9f8e2f-b216-409e-84b5-a3d4856bbda4 · outbound
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Observation 51459af3-b8b5-4c03-92c0-b99ea514e7c8 · outbound
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Reference 51
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Reference 52
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Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model VideoLCM: Video Latent Consistency Model
Reference 53
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Observation dae55bc7-9152-4a36-b0d4-1c39c36e38e6 · outbound
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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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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Reference 56
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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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Observation 1906887c-c42c-4b08-a9cc-e6e0062249d2 · outbound
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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Observation abd74348-418b-4466-878c-0304f75000f1 · outbound
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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Observation 01a77eed-fb21-4c66-9834-d9bae9758e76 · outbound
Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model Faster Diffusion via Temporal Attention Decomposition
Reference 60
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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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Observation f2dc8aee-b85c-448c-b22f-cd78746542fa · outbound
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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Observation 5bb877a6-12e6-4fb8-adc0-6608a723ee47 · inbound
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Reference 38
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Observation 63e184d8-eab0-4bb3-99e9-24c9409942c3 · inbound
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Observation 23ff9b97-c615-43f4-97c7-9672e6d21f9e · inbound
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Reference 70
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Observation 1f09680e-70d1-46f3-8398-866d0422960c · inbound
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Observation 800eea90-808a-45e7-b61e-bcd224ae6bfd · inbound
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Reference 40
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Observation 0efc2303-dfbe-482c-8e56-0c3042dfc67e · inbound
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Observation 5128d671-546f-4ca8-968a-a7093d41c047 · inbound
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Reference 13
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Observation fefd7169-0c31-4ab7-b852-3edbf67d3a8f · inbound
SADA: Stability-guided Adaptive Diffusion Acceleration Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model
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Observation 6dd19402-292f-471c-aeb7-784c3b60920b · inbound
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Observation 88147c4c-c151-485e-8aa9-0310db47931c · inbound
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Reference 26
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Observation 596a2ecd-0443-4861-b185-fa1035d94e85 · inbound
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Reference 17
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Observation 99207b72-0724-4085-8857-5336985bab56 · inbound
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Observation cd583a41-a96d-41f9-b6cc-d24ea91d6a8e · inbound
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Observation 0ddc2c0c-9ce7-4a16-be34-85ed0b4e524d · inbound
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Reference 13
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Observation aa83b434-9a06-49d1-8ac5-e521094465c5 · inbound
EchoTorrent: Towards Swift, Sustained, and Streaming Multi-Modal Video Generation Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model
Reference 63
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Observation 0b272dd6-30e5-4b0e-bc5d-a57b64d2d314 · inbound
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Reference 67
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Observation 34ad50a2-82bd-4c20-ad16-8b8f12bd337c · inbound
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Reference 18
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Observation c7dce964-90d9-418b-ac6d-16c3ef17a8f8 · inbound
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Reference 34
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Reference 14
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Reference 12
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Reference 13
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Reference 24
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Reference 49
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Reference 50
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Reference 19
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Reference 33
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Reference 12
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Reference 30
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Reference 40
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Reference 21
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Reference 70
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Token-Operations-Oriented Inference Optimization Techniques for Large Models Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model
Reference 64
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Reference 12
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Reference 23
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Reference 21
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Reference 23
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Reference 41
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Reference 15
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Observation d04fc2e6-1b1e-4271-83d8-c7f9953015dc · inbound
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Reference 23
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Reference 19
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Reference 24
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Unavailable: canonical work link unavailable.
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Reference 27
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