Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:25:28.645155Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 100 of 121 outbound references and 0 inbound Pith citation observations for arXiv:2507.05678.
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 2026-08-06T19:25:28.645155Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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
100 of 121 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers
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Observation 659403e8-6fc7-4efe-a971-169b07e861f2 · outbound
LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Scaling learning algo- rithms towards AI
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Improving image generation with better captions
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Align your latents: High-resolution video synthe- sis with latent diffusion models
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Still-Moving: Customized Video Generation without Customized Video Data
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Motion-Zero: Zero-Shot Moving Object Control Framework for Diffusion-Based Video Generation
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Seine: Short-to-long video diffu- sion model for generative transition and prediction
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Observation d4143bc7-f2c6-4ae3-ade4-56b32d450860 · outbound
LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Diffusion models beat gans on image synthesis
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Observation 416d7ea5-bdf8-4f2d-857b-ddec80aeca2a · outbound
LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Parameter-efficient fine-tuning of large-scale pre-trained language models
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Observation 29ba5a0e-6d2f-45fd-ab6f-e163f789f716 · outbound
LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Structure and content-guided video synthesis with diffusion models
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Scaling recti- fied flow transformers for high-resolution image synthesis
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion I2VControl-Camera: Precise Video Camera Control with Adjustable Motion Strength
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Observation aa9e0dd6-9118-4d29-ac13-42d77efe553b · outbound
LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Preserve your own cor- relation: A noise prior for video diffusion models
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Deep learning
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models
Reference 21
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion CameraCtrl: Enabling Camera Control for Text-to-Video Generation
Reference 23
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Co-speech gesture video genera- tion via motion-decoupled diffusion model
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Epipolar transformers
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Latent Video Diffusion Models for High-Fidelity Long Video Generation
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Observation a6ba4793-bca3-4dc6-91cf-0b412fc88e4b · outbound
LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Gans trained by a two time-scale update rule converge to a local nash equilib- rium
Reference 27
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Observation b21372c1-1638-4277-a7cd-a46cc453fcc4 · outbound
LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Hinton, Simon Osindero, and Yee Whye Teh
Reference 28
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Observation 20ad04ba-cd74-4cfc-bc89-278f7e9893eb · outbound
LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Classifier-Free Diffusion Guidance
Reference 29
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Denoising dif- fusion probabilistic models
Reference 30
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion LoRA: Low-Rank Adaptation of Large Language Models
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Animate anyone: Consistent and controllable image-to-video synthesis for character animation
Reference 33
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion MotionMaster: Training-free Camera Motion Transfer For Video Generation
Reference 34
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Observation 8297e1c4-b74b-4044-b004-dc1303d9888e · outbound
LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 35
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Observation e1a156d0-5fa0-4e40-952c-74a74d15b3be · outbound
LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Peekaboo: Interactive video generation via masked- diffusion
Reference 36
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Observation 26e5c20d-e2b2-440d-a3c9-380b401c2968 · outbound
LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion A survey of multimodal con- trollable diffusion models
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Consistent4d: Consistent 360° dynamic object gener- ation from monocular video
Reference 38
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Animate3d: Animating any 3d model with multi-view video diffusion
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Spad: Spatially aware multi-view diffusers
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Co- tracker: It is better to track together
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion 3d gaussian splatting for real-time radiance field rendering
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion HunyuanVideo: A Systematic Framework For Large Video Generative Models
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Unresolved cited work
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Control
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Gligen: Open-set grounded text-to-image generation
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Open-Sora Plan: Open-Source Large Video Generation Model
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Magic3d: High- resolution text-to-3d content creation
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Latte: Latent Diffusion Transformer for Video Generation
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Follow your pose: Pose- guided text-to-video generation using pose-free videos
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LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion Unresolved cited work
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