Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:12:56.741852Z
Paper Citation Record · LEDGER
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators
As of 9 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2506.19348.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
56 of 56 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c308e995-3574-4fb0-8fd3-258ef5820807 · outbound
This paper cites T2v-turbo-v2: Enhancing video generation model post-training through data, reward, and conditional guidance design.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators T2v-turbo-v2: Enhancing video generation model post-training through data, reward, and conditional guidance design
Reference 1
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Source-reported events for the cited work
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Observation af7d22ae-6d70-4cd2-b6c9-30f6d77976c1 · outbound
This paper cites AnimateDiff-Lightning: Cross-Model Diffusion Distillation.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators AnimateDiff-Lightning: Cross-Model Diffusion Distillation
Reference 2
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f28baa2-ac71-4d4a-9152-fdc37dbfe28a · outbound
This paper cites Video diffusion models.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Video diffusion models
Reference 3
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9dc43bd4-44ac-4368-8603-eb8b100ad278 · outbound
This paper cites VideoCrafter1: Open Diffusion Models for High-Quality Video Generation.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
Reference 4
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8254067d-566c-4acb-bb72-5ebb38885af2 · outbound
This paper cites Veo.Placeholder Journal, 2024.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Veo.Placeholder Journal, 2024
Reference 5
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Observation 1f252ec3-0fb4-480d-9ded-9e901dfe79c2 · outbound
This paper cites Video generation models as world simulators, 2024.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Video generation models as world simulators, 2024
Reference 6
- Resolution
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Source-reported events for the cited work
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Observation 789be283-39b0-44f1-8fed-055e3d76aa16 · outbound
This paper cites T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback
Reference 7
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc978bc8-2445-4511-bdd5-56f660f9dacd · outbound
This paper cites Vmc: Video motion customization using temporal attention adaption for text-to-video diffusion models.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Vmc: Video motion customization using temporal attention adaption for text-to-video diffusion models
Reference 8
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Observation 76ca366f-ba44-4cf5-a47b-626e4207022c · outbound
This paper cites Motiondirector: Motion customization of text-to-video diffusion models.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Motiondirector: Motion customization of text-to-video diffusion models
Reference 9
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a88eba5-68b2-4bfd-96ed-8daf1d44bd4f · outbound
This paper cites Motion Inversion for Video Customization.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Motion Inversion for Video Customization
Reference 10
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a89f376-e36c-4602-be0a-3a09ca30806b · outbound
This paper cites ControlVideo: Training-free Controllable Text-to-Video Generation.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators ControlVideo: Training-free Controllable Text-to-Video Generation
Reference 11
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79d71bbf-8f52-47b5-9556-064f0324bc65 · outbound
This paper cites Controlvideo: conditional control for one-shot text-driven video editing and beyond.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Controlvideo: conditional control for one-shot text-driven video editing and beyond
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation 10f03514-d42c-4e74-83a9-e630447132f2 · outbound
This paper cites Control-A-Video: Controllable Text-to-Video Diffusion Models with Motion Prior and Reward Feedback Learning.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Control-A-Video: Controllable Text-to-Video Diffusion Models with Motion Prior and Reward Feedback Learning
Reference 13
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0b4d9c8-0e22-4a6f-8e2d-683e68bf686c · outbound
This paper cites MotionClone: Training-Free Motion Cloning for Controllable Video Generation.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators MotionClone: Training-Free Motion Cloning for Controllable Video Generation
Reference 14
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 732724c7-f16f-4eaa-9ffd-ff322b7706ca · outbound
This paper cites Space-time diffusion features for zero-shot text-driven motion transfer.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Space-time diffusion features for zero-shot text-driven motion transfer
Reference 15
- Resolution
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Source-reported events for the cited work
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Observation d623f30d-270c-4fc5-8104-908747d277c1 · outbound
This paper cites Text2video-zero: Text-to-image diffusion models are zero-shot video generators.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Text2video-zero: Text-to-image diffusion models are zero-shot video generators
Reference 16
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Source-reported events for the cited work
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Observation dd8edbfb-15db-4021-a9c4-8afd956c344a · outbound
This paper cites Lora: Low-rank adaptation of large language models.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Lora: Low-rank adaptation of large language models
Reference 17
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Source-reported events for the cited work
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Observation c27cab79-221e-40ca-a055-a3ac106e0e40 · outbound
This paper cites VideoLCM: Video Latent Consistency Model.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators VideoLCM: Video Latent Consistency Model
Reference 18
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 228ae53e-49b4-4300-9084-b61c149ee2f7 · outbound
This paper cites Consistency models.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Consistency models
Reference 19
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Source-reported events for the cited work
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Observation dd40d515-76d9-40b9-9645-ded81ce0fecd · outbound
This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Reference 20
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Source-reported events for the cited work
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Observation c9d618f4-80d6-4c02-b396-41becfb5013d · outbound
This paper cites Denoising Diffusion Implicit Models.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Denoising Diffusion Implicit Models
Reference 21
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Unavailable: canonical work link unavailable.
Observation 9f6434ea-69c4-4e5b-9bfb-938297cc6ac7 · outbound
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Denoising diffusion probabilistic models
Reference 22
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Observation f632f14a-5dc7-4aeb-85b2-1d211977c8f4 · outbound
This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Score-Based Generative Modeling through Stochastic Differential Equations
Reference 23
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Source-reported events for the cited work
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This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Reference 24
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Flux.1-schnell, 2024
Reference 25
- Resolution
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Observation 34e414e5-1b4d-4a34-ba8a-0002f19d2c53 · outbound
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Scaling rectified flow transform- ers for high-resolution image synthesis
Reference 26
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This paper cites IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
Reference 27
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Source-reported events for the cited work
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators High- resolution image synthesis with latent diffusion models
Reference 28
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Photorealistic text-to-image diffusion models with deep language understanding
Reference 29
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Improving image generation with better captions
Reference 30
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Reference 31
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This paper cites Introducing gen-3 alpha: A new frontier for video generation, 2024.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Introducing gen-3 alpha: A new frontier for video generation, 2024
Reference 32
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators 3d u-net: learning dense volumetric segmentation from sparse annotation
Reference 33
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Kingma, Ben Poole, Mohammad Norouzi, David J
Reference 34
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Make-A-Video: Text-to-Video Generation without Text-Video Data
Reference 35
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Latent Video Diffusion Models for High-Fidelity Long Video Generation
Reference 36
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Align your latents: High-resolution video synthesis with latent diffusion models
Reference 37
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators MagicVideo: Efficient Video Generation With Latent Diffusion Models
Reference 38
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Advancing high-resolution video-language representation with large-scale video transcriptions
Reference 40
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This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Reference 41
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Videocrafter2: Overcoming data limitations for high-quality video diffusion models
Reference 42
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation
Reference 43
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Adding conditional control to text-to-image diffusion models
Reference 44
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This paper cites Training-Free Motion-Guided Video Generation with Enhanced Temporal Consistency Using Motion Consistency Loss.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Training-Free Motion-Guided Video Generation with Enhanced Temporal Consistency Using Motion Consistency Loss
Reference 45
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Classifier-Free Diffusion Guidance
Reference 46
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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This paper cites Freedom: Training- free energy-guided conditional diffusion model.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Freedom: Training- free energy-guided conditional diffusion model
Reference 47
- Resolution
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This paper cites TFG: Unified Training-Free Guidance for Diffusion Models.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators TFG: Unified Training-Free Guidance for Diffusion Models
Reference 48
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This paper cites Animatelcm: Computation-efficient personalized style video gener- ation without personalized video data.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Animatelcm: Computation-efficient personalized style video gener- ation without personalized video data
Reference 49
- Resolution
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Source-reported events for the cited work
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Observation 2f3d28d6-277d-4309-bde6-3c2fed97b2ea · outbound
This paper cites Distilling the Knowledge in a Neural Network.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Distilling the Knowledge in a Neural Network
Reference 50
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators FreeTraj: Tuning-Free Trajectory Control in Video Diffusion Models
Reference 51
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling
Reference 52
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When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators The 2017 DAVIS Challenge on Video Object Segmentation
Reference 53
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Observation 2cd3c1f6-1cdf-4a52-a45b-75434d4b7513 · outbound
This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Frozen in time: A joint video and image encoder for end-to-end retrieval
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:12:56.484453Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20ef94df-ec9f-4b3a-ba64-c627bbd88355 · outbound
This paper cites Learning transferable visual models from natural language supervision.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Learning transferable visual models from natural language supervision
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:12:57.626254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6cebe02b-13fc-447f-8885-6ac74cc59824 · outbound
This paper cites Cotracker: It is better to track together.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Cotracker: It is better to track together
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:12:56.605248Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81b9b366-d79f-4586-99df-5091f5df1b2e · outbound
This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.
When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators Gans trained by a two time-scale update rule converge to a local nash equilibrium
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:12:57.453133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.