Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T12:04:47.390095Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 30 inbound Pith citation observations for arXiv:2502.02492.
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 2026-08-09T12:04:47.390095Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:54:12.520467Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T17:18:43.389947Z
56 of 56 outbound references displayed
External citation measurements
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Observation bb2fc609-8a88-4ff2-8ce5-9f40dc1f3ad7 · outbound
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models write newline
Reference 1
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models write newline
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Observation b3fd3627-3c77-41da-982a-ef8173818147 · outbound
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation
Reference 3
Source-reported events for the cited work
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Observation 20ae7674-3293-4492-952c-a667b5745596 · outbound
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Lumiere: A Space-Time Diffusion Model for Video Generation
Reference 4
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models FLUX , 2024
Reference 5
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models W., Fidler, S., and Kreis, K
Reference 7
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Video generation models as world simulators
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models The hidden language of diffusion models
Reference 10
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Still-Moving: Customized Video Generation without Customized Video Data
Reference 11
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing
Reference 12
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Observation 9b813077-7f04-4bf5-b216-b3b651c9f26a · outbound
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack
Reference 13
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Observation c92ee6ee-8c57-42d4-b1f2-2cdbaca38738 · outbound
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Diffusion Models Beat GANs on Image Synthesis
Reference 14
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Observation a9690037-55bb-4b8e-8a0a-34d7ee51fc23 · outbound
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Reference 15
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Motion prompting: Controlling video generation with motion trajectories, 2024
Reference 16
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Reference 17
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models S., Shah, A., Yin, X., Parikh, D., and Misra, I
Reference 18
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Reference 19
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models LTX-Video: Realtime Video Latent Diffusion
Reference 20
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Observation 886536c6-0bdb-44ae-9568-19d34c0669f9 · outbound
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Classifier-Free Diffusion Guidance
Reference 21
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Denoising diffusion probabilistic models
Reference 22
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Imagen Video: High Definition Video Generation with Diffusion Models
Reference 24
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Observation b0b13fc9-5d76-49f8-b1d9-fdcd9f4291c7 · outbound
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Reference 25
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Observation c31c91d1-ba7b-480c-947c-a1554dde9248 · outbound
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models VBench : Comprehensive benchmark suite for video generative models
Reference 26
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Reference 27
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Video-lavit: Unified video-language pre-training with decoupled visual-motional tokenization
Reference 28
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Observation e4639c7f-dfac-475d-9c2e-ab49c6876d3a · outbound
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models How far is video generation from world model: A physical law perspective, 2024
Reference 29
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Kling AI , 2024
Reference 30
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Unresolved cited work
Reference 31
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Compositional Visual Generation with Composable Diffusion Models
Reference 32
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Observation 38d61803-4c6c-487b-81f4-5287cdb3ea3c · outbound
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Physgen: Rigid-body physics-grounded image-to-video generation
Reference 33
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion
Reference 34
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Observation 8a81af78-bd11-479b-8c02-c890c89495bb · outbound
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Sora: A review on background, technology, limitations, and opportunities of large vision models, 2024 b
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models K., Lewis, J
Reference 36
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Reference 38
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Reference 39
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models and Xie, S
Reference 40
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Reference 41
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Reference 42
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Reference 43
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Enhancing motion in text-to-video generation with decomposed encoding and conditioning, 2024
Reference 44
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Reference 46
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Decouple content and motion for conditional image-to-video generation
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Reference 48
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Reference 49
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Reference 50
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Reference 51
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Reference 54
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Reference 55
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models ByT5 : Towards a token-free future with pre-trained byte-to-byte models
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Reference 2022
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UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
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Reference 2025
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Reference 12
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Reference 11
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Reference 11
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Reference 23
Source-reported events for the cited work
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Observation e1b303de-5490-4d8a-8431-4d70e41e240a · inbound
LaMo: Self-Supervised Latent Motion Priors for Physical Realism in Video Generation VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6fbf81cd-6226-4dbd-bf60-a242f417d914 · inbound
Tempered Self-Similarity Alignment for Physically Plausible Video Generation VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5e1d9312-98de-4133-b35b-3fab77002416 · inbound
OptiWorld: Optimal Control for Video World Generation under Physical Constraints VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 96b52b38-a148-4b51-af97-2297a40c1add · inbound
Spatial-Temporal Decoupled Reference Conditioning for Identity-Preserving Text-to-Video Generation VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2a65feb2-1926-42da-ad60-7c563ff866e8 · inbound
SpecLoR: Spectral Lookahead Rectification for Motion-Coherent Text-to-Video Generation VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5d54411b-d156-4d00-9759-015cd3cdd3d0 · inbound
NEXUS: Neural Energy Fields for Physically Consistent Contact-Rich 3D Object Dynamics VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 480316a2-93a5-4890-b86b-3749654d193a · inbound
HorizonRelight: Relighting Long-horizon Videos Consistently via Diffusion Transformers VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2dc13058-177f-4fdd-9c28-8145f41e7066 · inbound
Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent Music-to-Dance Generation VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb4a1a26-ee33-49dc-a82f-f77a0ff436c8 · inbound
Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent Music-to-Dance Generation VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 819d11f0-4f0b-48fd-a282-f70213438dfb · inbound
Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent Music-to-Dance Generation VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be199bd7-a337-4f11-a865-fa77c59a3271 · inbound
DreamWAM: Beyond RGB Future Prediction for World Action Models VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.