Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:25:29.212390Z
Paper Citation Record · LEDGER
AnyI2V: Animating Any Conditional Image with Motion Control
As of 22 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2507.02857.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-03T16:19:51.348169Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T16:28:38.518422Z
Reference resolution
57 of 57 outbound references displayed
- verified exact3
- verified fuzzy25
- unresolved29
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1fed75c3-b20c-4f6b-96ac-78b1a717cd86 · outbound
This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.
AnyI2V: Animating Any Conditional Image with Motion Control Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:24.234995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88234fc6-27ef-4f33-83cd-dc35b5f64f2a · outbound
This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.
AnyI2V: Animating Any Conditional Image with Motion Control Align your latents: High-resolution video synthesis with latent diffusion models
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:34.460141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation efdf9c10-8737-47a9-a29a-4edda0d43b45 · outbound
This paper cites A unified 3d human motion synthesis model via conditional variational auto-encoder.
AnyI2V: Animating Any Conditional Image with Motion Control A unified 3d human motion synthesis model via conditional variational auto-encoder
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:34.328860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 47fb6f8e-8c13-427a-8c2c-c82e2e41c664 · outbound
This paper cites VideoCrafter1: Open Diffusion Models for High-Quality Video Generation.
AnyI2V: Animating Any Conditional Image with Motion Control VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:24.503120Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 537051c3-c895-478e-8dab-e699d1e73474 · outbound
This paper cites Videocrafter2: Overcoming data limitations for high-quality video diffusion models.
AnyI2V: Animating Any Conditional Image with Motion Control Videocrafter2: Overcoming data limitations for high-quality video diffusion models
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:34.189521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 78f7342e-fe75-436f-8721-6dfd29aad377 · outbound
This paper cites MeViS: A large-scale benchmark for video segmentation with motion expressions.
AnyI2V: Animating Any Conditional Image with Motion Control MeViS: A large-scale benchmark for video segmentation with motion expressions
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:33.997665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8991ac9c-0e5e-49cd-86b0-9fe1b6ca30f8 · outbound
This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.
AnyI2V: Animating Any Conditional Image with Motion Control AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:24.769350Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35b70089-05a0-4fa1-8c2b-22c36faedc0e · outbound
This paper cites Sparsectrl: Adding sparse controls to text-to-video diffusion models.
AnyI2V: Animating Any Conditional Image with Motion Control Sparsectrl: Adding sparse controls to text-to-video diffusion models
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:33.854495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 84520573-1143-4c07-b930-d1d95e56baa1 · outbound
This paper cites CameraCtrl: Enabling Camera Control for Text-to-Video Generation.
AnyI2V: Animating Any Conditional Image with Motion Control CameraCtrl: Enabling Camera Control for Text-to-Video Generation
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:24.979478Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00467e71-d160-4147-9adc-40188cf446b9 · outbound
This paper cites Latent Video Diffusion Models for High-Fidelity Long Video Generation.
AnyI2V: Animating Any Conditional Image with Motion Control Latent Video Diffusion Models for High-Fidelity Long Video Generation
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:25.057827Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c424eb1b-8aa8-43b4-960f-411cbbdaba4e · outbound
This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.
AnyI2V: Animating Any Conditional Image with Motion Control Prompt-to-Prompt Image Editing with Cross Attention Control
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:25.140993Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a3287ac-ad55-4777-a748-4f898526342c · outbound
This paper cites Video diffusion models.
AnyI2V: Animating Any Conditional Image with Motion Control Video diffusion models
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:33.684728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c3b78684-d66f-476e-bafb-695ab7fa9ace · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
AnyI2V: Animating Any Conditional Image with Motion Control LoRA: Low-Rank Adaptation of Large Language Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:25.318105Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fddd0ee-b922-46d1-9b73-51842255c65b · outbound
This paper cites Cocktail: Mixing multi-modality control for text-conditional image generation.
AnyI2V: Animating Any Conditional Image with Motion Control Cocktail: Mixing multi-modality control for text-conditional image generation
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:33.505365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 475fe6c3-411c-4d7c-be8a-a8000066e717 · outbound
This paper cites VideoControlNet: A Motion-Guided Video-to-Video Translation Framework by Using Diffusion Model with ControlNet.
AnyI2V: Animating Any Conditional Image with Motion Control VideoControlNet: A Motion-Guided Video-to-Video Translation Framework by Using Diffusion Model with ControlNet
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:25.466570Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc66d003-8b0c-4769-bb91-666dc3eb6548 · outbound
This paper cites Arbitrary style transfer in real-time with adaptive instance normalization.
AnyI2V: Animating Any Conditional Image with Motion Control Arbitrary style transfer in real-time with adaptive instance normalization
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:33.367870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d19d4810-6fc5-4c9f-a904-61b8c942574f · outbound
This paper cites Cotracker: It is better to track together.
AnyI2V: Animating Any Conditional Image with Motion Control Cotracker: It is better to track together
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:33.236726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 79574eae-be01-4584-ad52-ea507b4c5876 · outbound
This paper cites Text2video-zero: Text- to-image diffusion models are zero-shot video generators.
AnyI2V: Animating Any Conditional Image with Motion Control Text2video-zero: Text- to-image diffusion models are zero-shot video generators
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:25.815397Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8490783-78ba-40ff-bd46-73591113df79 · outbound
This paper cites DiffBlender: Composable and Versatile Multimodal Text-to-Image Diffusion Models.
AnyI2V: Animating Any Conditional Image with Motion Control DiffBlender: Composable and Versatile Multimodal Text-to-Image Diffusion Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:25.914025Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0a79e52-683e-471f-834b-a8b00b4bf615 · outbound
This paper cites Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis.
AnyI2V: Animating Any Conditional Image with Motion Control Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:25:29.851895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d3b52798-77ba-4689-a296-1a3266b80d7b · outbound
This paper cites Image Conductor: Precision Control for Interactive Video Synthesis.
AnyI2V: Animating Any Conditional Image with Motion Control Image Conductor: Precision Control for Interactive Video Synthesis
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:26.170396Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5feeba51-a878-426d-afe4-e1017b07d665 · outbound
This paper cites LOVECon: Text-driven Training-Free Long Video Editing with ControlNet.
AnyI2V: Animating Any Conditional Image with Motion Control LOVECon: Text-driven Training-Free Long Video Editing with ControlNet
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:25:29.716487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 00524d34-72b6-4ca3-a573-6b5d1407a5dc · outbound
This paper cites Trailblazer: Trajectory control for diffusion-based video generation.
AnyI2V: Animating Any Conditional Image with Motion Control Trailblazer: Trajectory control for diffusion-based video generation
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:33.012633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e796bd06-2fb9-498a-8b85-e3ccb432bbb7 · outbound
This paper cites Some methods for classification and analysis of multivariate observations.
AnyI2V: Animating Any Conditional Image with Motion Control Some methods for classification and analysis of multivariate observations
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:32.881148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 661d2f45-91d9-4fc7-9bda-a2cced54d8c5 · outbound
This paper cites Large-scale video panoptic segmentation in the wild: A benchmark.
AnyI2V: Animating Any Conditional Image with Motion Control Large-scale video panoptic segmentation in the wild: A benchmark
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:32.735514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d73ee21d-b3cd-43af-97c1-0bea7ea1e6ca · outbound
This paper cites Freecontrol: Training-free spatial control of any text-to-image diffusion model with any condition.
AnyI2V: Animating Any Conditional Image with Motion Control Freecontrol: Training-free spatial control of any text-to-image diffusion model with any condition
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:32.562331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8526d6aa-bf06-4f6b-85a0-d2c9887d5ca2 · outbound
This paper cites SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation.
AnyI2V: Animating Any Conditional Image with Motion Control SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:26.611739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0afba912-7f85-4603-bfd0-d1ec67db126d · outbound
This paper cites Mofa-video: Controllable image animation via generative motion field adaptions in frozen image-to-video diffusion model.
AnyI2V: Animating Any Conditional Image with Motion Control Mofa-video: Controllable image animation via generative motion field adaptions in frozen image-to-video diffusion model
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:32.433431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 92e86803-561b-43a2-b383-9cdfb26ad7d8 · outbound
This paper cites Drag your gan: Interactive point-based manipulation on the generative image manifold.
AnyI2V: Animating Any Conditional Image with Motion Control Drag your gan: Interactive point-based manipulation on the generative image manifold
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:32.218979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 38b44cb9-bcc3-40a5-8436-4c7176e5d212 · outbound
This paper cites UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild.
AnyI2V: Animating Any Conditional Image with Motion Control UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:26.818684Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42402254-5ab4-4997-be70-b199df2bf15c · outbound
This paper cites FreeTraj: Tuning-Free Trajectory Control in Video Diffusion Models.
AnyI2V: Animating Any Conditional Image with Motion Control FreeTraj: Tuning-Free Trajectory Control in Video Diffusion Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:26.881733Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation baed88d4-efb6-4686-a27d-15a66c5355a1 · outbound
This paper cites High-resolution image synthesis with latent diffusion models.
AnyI2V: Animating Any Conditional Image with Motion Control High-resolution image synthesis with latent diffusion models
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:26.900124Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd175d70-34e2-448a-b6f4-b2577bf1b0ce · outbound
This paper cites Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling.
AnyI2V: Animating Any Conditional Image with Motion Control Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:32.068727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 15eb4f40-dd58-403c-b2c4-ed011779c61b · outbound
This paper cites Dragdiffusion: Harnessing diffusion models for interactive point-based image editing.
AnyI2V: Animating Any Conditional Image with Motion Control Dragdiffusion: Harnessing diffusion models for interactive point-based image editing
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:31.963843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 40b743f7-bc70-444f-8b57-053c8fc6fc83 · outbound
This paper cites A Survey of Multimodal-Guided Image Editing with Text-to-Image Diffusion Models.
AnyI2V: Animating Any Conditional Image with Motion Control A Survey of Multimodal-Guided Image Editing with Text-to-Image Diffusion Models
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:27.267209Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32df7593-0501-4d21-bc58-60be5e71da60 · outbound
This paper cites Free-form motion control: A synthetic video generation dataset with controllable camera and object motions.
AnyI2V: Animating Any Conditional Image with Motion Control Free-form motion control: A synthetic video generation dataset with controllable camera and object motions
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:27.408167Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3201c98-aac7-4366-8a95-f8f259a0d87d · outbound
This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.
AnyI2V: Animating Any Conditional Image with Motion Control Make-A-Video: Text-to-Video Generation without Text-Video Data
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:27.446167Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5292019-0b83-4721-be2b-ae7ff2d5fb28 · outbound
This paper cites Denoising Diffusion Implicit Models.
AnyI2V: Animating Any Conditional Image with Motion Control Denoising Diffusion Implicit Models
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:27.533479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6a8d720-8439-483d-a44e-83d33bed5481 · outbound
This paper cites Anycontrol: create your artwork with versatile control on text-to-image generation.
AnyI2V: Animating Any Conditional Image with Motion Control Anycontrol: create your artwork with versatile control on text-to-image generation
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:31.798937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 27c0b93b-146f-400e-91c5-0aa28818b3fd · outbound
This paper cites Plug-and-play diffusion features for text-driven image-to-image translation.
AnyI2V: Animating Any Conditional Image with Motion Control Plug-and-play diffusion features for text-driven image-to-image translation
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:31.654118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d3771b2c-ec8f-4c5b-af71-83e19304621e · outbound
This paper cites ModelScope Text-to-Video Technical Report.
AnyI2V: Animating Any Conditional Image with Motion Control ModelScope Text-to-Video Technical Report
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:27.903864Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef2b81e3-e487-4b92-a6da-fb15b3fc5765 · outbound
This paper cites Boximator: Generating Rich and Controllable Motions for Video Synthesis.
AnyI2V: Animating Any Conditional Image with Motion Control Boximator: Generating Rich and Controllable Motions for Video Synthesis
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:28.032439Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d856d6b6-8afc-4eee-a71d-a74b60ec6519 · outbound
This paper cites Videocomposer: Compositional video synthesis with motion controllability.
AnyI2V: Animating Any Conditional Image with Motion Control Videocomposer: Compositional video synthesis with motion controllability
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:31.526763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 37898861-1e15-4fec-b544-e391ee84143d · outbound
This paper cites Lavie: High-quality video generation with cascaded latent diffusion models.
AnyI2V: Animating Any Conditional Image with Motion Control Lavie: High-quality video generation with cascaded latent diffusion models
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:31.177524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c9840de4-56e8-4fd6-9acd-8ff050e23d5c · outbound
This paper cites ObjCtrl-2.5D: Training-free Object Control with Camera Poses.
AnyI2V: Animating Any Conditional Image with Motion Control ObjCtrl-2.5D: Training-free Object Control with Camera Poses
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:28.341243Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91b33beb-3f62-4ddb-969e-f0e49dd75f68 · outbound
This paper cites Motionctrl: A unified and flexible motion controller for video generation.
AnyI2V: Animating Any Conditional Image with Motion Control Motionctrl: A unified and flexible motion controller for video generation
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:30.904545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 396d7879-b606-43e1-a74c-6cba50ac1ae1 · outbound
This paper cites Principal component analysis.
AnyI2V: Animating Any Conditional Image with Motion Control Principal component analysis
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:30.631228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 39f036ab-5588-464d-8392-59af76ab3bf2 · outbound
This paper cites MotionBooth: Motion-Aware Customized Text-to-Video Generation.
AnyI2V: Animating Any Conditional Image with Motion Control MotionBooth: Motion-Aware Customized Text-to-Video Generation
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:28.608683Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15b79da1-3c97-477f-b11c-507de6af68ec · outbound
This paper cites Draganything: Motion control for anything using entity representation.
AnyI2V: Animating Any Conditional Image with Motion Control Draganything: Motion control for anything using entity representation
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:30.383936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d8787f87-8def-4463-8b24-f76278b73f0c · outbound
This paper cites Video Diffusion Models are Training-free Motion Interpreter and Controller.
AnyI2V: Animating Any Conditional Image with Motion Control Video Diffusion Models are Training-free Motion Interpreter and Controller
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:28.728755Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ab67a9c-61ea-49c4-a657-7d1bc1f651b0 · outbound
This paper cites Dynamicrafter: Animating open-domain images with video diffusion priors.
AnyI2V: Animating Any Conditional Image with Motion Control Dynamicrafter: Animating open-domain images with video diffusion priors
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:28.790311Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec32a8f0-e334-4054-882a-570f449f538f · outbound
This paper cites Direct-a-video: Customized video generation with user- directed camera movement and object motion.
AnyI2V: Animating Any Conditional Image with Motion Control Direct-a-video: Customized video generation with user- directed camera movement and object motion
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:25:30.116321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 695822a8-cc50-409c-8cf6-d9736a99a273 · outbound
This paper cites DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory.
AnyI2V: Animating Any Conditional Image with Motion Control DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:28.946126Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b748225-0f62-4468-8f00-57e762518ba8 · outbound
This paper cites Adding conditional control to text-to-image diffusion models.
AnyI2V: Animating Any Conditional Image with Motion Control Adding conditional control to text-to-image diffusion models
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:28.992068Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1dc34cde-99a8-4f00-8daa-3face3f52316 · outbound
This paper cites ControlVideo: Training-free Controllable Text-to-Video Generation.
AnyI2V: Animating Any Conditional Image with Motion Control ControlVideo: Training-free Controllable Text-to-Video Generation
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:29.057301Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1351d6ee-1961-4baa-95d3-85db563283d7 · outbound
This paper cites Tora: Trajectory-oriented Diffusion Transformer for Video Generation.
AnyI2V: Animating Any Conditional Image with Motion Control Tora: Trajectory-oriented Diffusion Transformer for Video Generation
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:25:29.127199Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdcdc99d-47e6-4ea1-8476-9548690d5220 · outbound
This paper cites TrackGo: A Flexible and Efficient Method for Controllable Video Generation.
AnyI2V: Animating Any Conditional Image with Motion Control TrackGo: A Flexible and Efficient Method for Controllable Video Generation
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:25:29.416173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
Observation bd2c33f3-ad0b-4654-8b84-00132bccf2f5 · inbound
QWERTY: Training-Free Motion Control via Query-Warped Video Diffusion Transformers cites this paper.
QWERTY: Training-Free Motion Control via Query-Warped Video Diffusion Transformers AnyI2V: Animating Any Conditional Image with Motion Control
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T16:28:38.520077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.