Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:59:35.677086Z
Paper Citation Record · LEDGER
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
As of 7 August 2026, this Paper Citation Record lists 100 of 130 outbound references and 22 inbound Pith citation observations for arXiv:2505.20292.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T12:42:42.185508Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T21:10:09.694521Z
Reference resolution
100 of 130 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved99
- parse uncertain1
- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f622355a-fc11-46d9-8882-071363473815 · outbound
This paper cites GPT-4 Technical Report.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation GPT-4 Technical Report
Reference 1
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 674e39e3-f51d-4ec1-b250-274525a49cf0 · outbound
This paper cites Detecting ai-generated images using vision transformers: A robust approach for safeguarding visual media integrity.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Detecting ai-generated images using vision transformers: A robust approach for safeguarding visual media integrity
Reference 2
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b31a7f79-6b63-43d9-bd3b-b1ec684f5ca5 · outbound
This paper cites Qwen2.5-VL Technical Report.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Qwen2.5-VL Technical Report
Reference 3
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4d2a682-d6fc-4019-872e-3d68462c74af · outbound
This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Frozen in time: A joint video and image encoder for end-to-end retrieval
Reference 4
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e211f830-c275-4c09-812e-117d517cad8a · outbound
This paper cites Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c83fa217-46b4-4b85-a1b9-10cffa1791f9 · outbound
This paper cites an unresolved cited work.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Unresolved cited work
Reference 6
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eba92d87-f4a5-49c3-8088-45ad15c42153 · outbound
This paper cites DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation
Reference 7
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b2e282a-64fc-4df7-8bcc-652b8e8d3538 · outbound
This paper cites MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion
Reference 9
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5041d6bd-3208-4592-b253-afb119d6efc5 · outbound
This paper cites PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models
Reference 10
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a83ac1d4-5098-4588-8898-770acbd2eee6 · outbound
This paper cites OD-VAE: An Omni-dimensional Video Compressor for Improving Latent Video Diffusion Model.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation OD-VAE: An Omni-dimensional Video Compressor for Improving Latent Video Diffusion Model
Reference 11
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a4bf5ea-8a1e-4037-9f18-93bd8d8d0591 · outbound
This paper cites Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
Reference 12
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08a4a1b2-29ee-4e32-b9c5-a14526531a4f · outbound
This paper cites Multi-subject Open-set Personalization in Video Generation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Multi-subject Open-set Personalization in Video Generation
Reference 13
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32a1c487-0f0f-45d1-b6cb-035ad5f57224 · outbound
This paper cites UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics
Reference 14
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b8bc10a-163f-4858-ab5a-41425d925ea7 · outbound
This paper cites Yolo- world: Real-time open-vocabulary object detection.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Yolo- world: Real-time open-vocabulary object detection
Reference 15
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6948c17-7919-4f42-9b3a-095e838483d6 · outbound
This paper cites improved-aesthetic-predictor.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation improved-aesthetic-predictor
Reference 16
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ea5b247-88ce-431e-86f4-3e07a6732a56 · outbound
This paper cites Arcface: Additive angular margin loss for deep face recognition.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Arcface: Additive angular margin loss for deep face recognition
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7344fd96-2a37-4a56-9bff-dc864b12df8a · outbound
This paper cites CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based Guidance.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based Guidance
Reference 18
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f763547-6771-4408-af08-5709abd1f81d · outbound
This paper cites Worldscore: A unified evaluation benchmark for world generation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Worldscore: A unified evaluation benchmark for world generation
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78244fcb-96a4-4777-9e21-b732843a7d56 · outbound
This paper cites Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models
Reference 20
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- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87b78b0f-fefc-47bf-a394-e5f5bcd6680b · outbound
This paper cites SkyReels-A2: Compose Anything in Video Diffusion Transformers.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation SkyReels-A2: Compose Anything in Video Diffusion Transformers
Reference 21
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- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4038376a-8f8a-411c-83bd-87e66b361c56 · outbound
This paper cites Ingredients: Blending Custom Photos with Video Diffusion Transformers.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Ingredients: Blending Custom Photos with Video Diffusion Transformers
Reference 22
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e1227c4-7833-4794-8ce6-f823e278d27e · outbound
This paper cites AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scene.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scene
Reference 23
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0bcb0d86-c873-465d-9046-9c71c1b4ca33 · outbound
This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Reference 24
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c460b892-36fd-4c44-9c27-2e96a2b65ab3 · outbound
This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Reference 25
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cef193aa-9fac-4a73-9318-e231dbffa46f · outbound
This paper cites PuLID: Pure and Lightning ID Customization via Contrastive Alignment.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation PuLID: Pure and Lightning ID Customization via Contrastive Alignment
Reference 26
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9ca7979-c9c2-4e8a-8da3-5d1cf9e33c7f · outbound
This paper cites UniPortrait: A Unified Framework for Identity-Preserving Single- and Multi-Human Image Personalization.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation UniPortrait: A Unified Framework for Identity-Preserving Single- and Multi-Human Image Personalization
Reference 27
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a96e897-15fa-4f12-9e15-faf72dbb4d0b · outbound
This paper cites VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation
Reference 28
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b23639f-4312-4f64-a82f-555e6e29f70c · outbound
This paper cites ID-Animator: Zero-Shot Identity-Preserving Human Video Generation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation ID-Animator: Zero-Shot Identity-Preserving Human Video Generation
Reference 29
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79771ac8-067f-45f3-b446-1b6261545c69 · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation LoRA: Low-Rank Adaptation of Large Language Models
Reference 30
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b14917ee-acdd-488e-a78f-8696687ca2b8 · outbound
This paper cites Animate anyone: Consistent and controllable image-to-video synthesis for character animation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Animate anyone: Consistent and controllable image-to-video synthesis for character animation
Reference 31
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f861033-8931-486c-b7df-ae3fe9cb8860 · outbound
This paper cites Animate Anyone 2: High-Fidelity Character Image Animation with Environment Affordance.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Animate Anyone 2: High-Fidelity Character Image Animation with Environment Affordance
Reference 32
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63e9d5a2-120e-4bf2-8687-2cb8e04ecf70 · outbound
This paper cites HunyuanCustom: A Multimodal-Driven Architecture for Customized Video Generation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation HunyuanCustom: A Multimodal-Driven Architecture for Customized Video Generation
Reference 33
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2626035-6181-445e-b482-e4885d7f8b11 · outbound
This paper cites Curricularface: adaptive curriculum learning loss for deep face recognition.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Curricularface: adaptive curriculum learning loss for deep face recognition
Reference 34
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed245bbb-b229-4733-8b8c-c399a21ac318 · outbound
This paper cites ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning
Reference 35
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65e3c255-602b-4982-bb4b-57471c45dd2c · outbound
This paper cites VBench: Comprehensive Benchmark Suite for Video Generative Models.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation VBench: Comprehensive Benchmark Suite for Video Generative Models
Reference 36
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 288b44fb-26ab-4086-8dd5-595bdb0df7fe · outbound
This paper cites VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models
Reference 37
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0baf8290-2faa-4be9-bc22-e5438a041216 · outbound
This paper cites InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity
Reference 38
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d0df9c7-c0c8-473b-a301-0bf36b3a1813 · outbound
This paper cites Videobooth: Diffusion-based video generation with image prompts.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Videobooth: Diffusion-based video generation with image prompts
Reference 39
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94ca3e3a-605d-4741-ace1-aa094a4bcc71 · outbound
This paper cites VACE: All-in-One Video Creation and Editing.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation VACE: All-in-One Video Creation and Editing
Reference 40
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d40dcba6-b12e-407f-8fee-4f445c5d4eda · outbound
This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models
Reference 41
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9f50fd2-8410-4887-94a1-fddec84a7c47 · outbound
This paper cites Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment
Reference 42
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32bfaf9c-8b5c-4e53-b2cc-80377defbc32 · outbound
This paper cites an unresolved cited work.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Unresolved cited work
Reference 43
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75367925-d66c-4aca-915c-9a298cb79360 · outbound
This paper cites Pika-2.0 lab discord server.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Pika-2.0 lab discord server
Reference 44
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6233e01f-9820-43fc-bfbf-9768baece134 · outbound
This paper cites OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation
Reference 45
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8fa7d41-df9b-48aa-b5ff-6f05e963ecee · outbound
This paper cites Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective
Reference 46
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a965af12-e251-4d03-a94f-103a3ec054b3 · outbound
This paper cites Photomaker: Customizing realistic human photos via stacked id embedding.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Photomaker: Customizing realistic human photos via stacked id embedding
Reference 47
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f70ac60e-5534-4725-a8dd-f8827e1945cd · outbound
This paper cites WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model
Reference 48
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd2fdf07-8d2a-4136-9e97-f530416fa399 · outbound
This paper cites Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts
Reference 49
- Resolution
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- no resolver link, observed 2026-08-07T13:59:31.555321Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation afbf14cf-615b-453b-a715-eba9e447d2ff · outbound
This paper cites Open-Sora Plan: Open-Source Large Video Generation Model.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Open-Sora Plan: Open-Source Large Video Generation Model
Reference 50
- Resolution
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- no resolver link, observed 2026-08-07T13:59:31.643439Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 646f6a09-7bce-4ea8-92fc-7faecb7daab8 · outbound
This paper cites Video-llava: Learning united visual representation by alignment before projection.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Video-llava: Learning united visual representation by alignment before projection
Reference 51
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- no resolver link, observed 2026-08-07T13:59:31.756572Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35763072-1ad3-4e7f-b05d-d4b2202915bb · outbound
This paper cites Stiv: Scalable text and image condi- tioned video generation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Stiv: Scalable text and image condi- tioned video generation
Reference 52
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Unavailable: canonical work link unavailable.
Observation af6623f3-3f69-48f3-a4b0-9ef802ea327f · outbound
This paper cites DeepSeek-V3 Technical Report.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation DeepSeek-V3 Technical Report
Reference 53
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f02fd0d-b56c-4bce-8c2d-c8eaff2fd744 · outbound
This paper cites Lumina-Video: Efficient and Flexible Video Generation with Multi-scale Next-DiT.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Lumina-Video: Efficient and Flexible Video Generation with Multi-scale Next-DiT
Reference 54
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b4584ab-6c87-4bf6-a062-9600001f2d39 · outbound
This paper cites Phantom: Subject-consistent video generation via cross-modal alignment.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Phantom: Subject-consistent video generation via cross-modal alignment
Reference 55
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22e8865e-7ae2-4d68-8efe-989ccfa59e3b · outbound
This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Reference 56
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13596194-ebe1-4953-8804-bda4c428597d · outbound
This paper cites Evalcrafter: Benchmarking and evaluating large video generation models.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Evalcrafter: Benchmarking and evaluating large video generation models
Reference 57
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f69d7047-7c83-44c7-b1eb-3f415ea0b1a7 · outbound
This paper cites Fetv: A benchmark for fine-grained evaluation of open-domain text-to-video genera- tion.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Fetv: A benchmark for fine-grained evaluation of open-domain text-to-video genera- tion
Reference 58
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e992ba3e-adde-423e-a52a-b972d2a2508f · outbound
This paper cites Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model
Reference 59
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 985742aa-2d65-40e4-9bbc-f7c3a5bba31b · outbound
This paper cites Latte: Latent Diffusion Transformer for Video Generation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Latte: Latent Diffusion Transformer for Video Generation
Reference 60
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79dc3038-4365-4037-a938-17f2ca0da233 · outbound
This paper cites Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models
Reference 61
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddf5a28d-2ff5-4c6f-b57f-cd36ecb9604c · outbound
This paper cites Follow your pose: Pose-guided text-to-video generation using pose-free videos.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Follow your pose: Pose-guided text-to-video generation using pose-free videos
Reference 62
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59b261e3-a9e1-42ac-98d1-9da35f05c4fe · outbound
This paper cites Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts
Reference 63
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 085f1cfa-a5dc-4b84-9ce5-37a9cab5b220 · outbound
This paper cites Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation
Reference 64
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c40ac82b-7a53-4239-94a5-0a2437246661 · outbound
This paper cites Magic-Me: Identity-Specific Video Customized Diffusion.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Magic-Me: Identity-Specific Video Customized Diffusion
Reference 65
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac1eba25-0a75-4758-af1e-bdaaab115766 · outbound
This paper cites Multi-task image classifier.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Multi-task image classifier
Reference 66
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37a1e504-5fc6-457a-8d8c-cc8d9be935db · outbound
This paper cites OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation
Reference 67
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0cedfbba-bee5-45cd-9865-a6bc31c75e8a · outbound
This paper cites Nyuad ai generated images detector.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Nyuad ai generated images detector
Reference 68
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ff826d8-9563-40d7-af7f-753049c77cbf · outbound
This paper cites DreamDance: Animating Human Images by Enriching 3D Geometry Cues from 2D Poses.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation DreamDance: Animating Human Images by Enriching 3D Geometry Cues from 2D Poses
Reference 69
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f51e9bb-64fb-4fe8-bbe2-17849e2b1c54 · outbound
This paper cites Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k
Reference 70
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 629342a2-e5a4-4261-bff7-42711df93a9c · outbound
This paper cites DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation
Reference 71
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ed2f581-5ca5-4541-af1a-e79b4c95c62f · outbound
This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Reference 72
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39695eb0-95dd-43df-a774-b98b2a9a1723 · outbound
This paper cites Learning transferable visual models from natural language supervision.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Learning transferable visual models from natural language supervision
Reference 73
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80e7fd13-6dc1-40d0-8d2f-1a716c9df315 · outbound
This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 74
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33f3b505-4ad7-4a06-b3fd-bcf031b21a24 · outbound
This paper cites Zero-shot text-to-image generation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Zero-shot text-to-image generation
Reference 75
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1281ad9c-c073-4665-95da-e2ca2f3f52e2 · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation SAM 2: Segment Anything in Images and Videos
Reference 76
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc7c93b7-3ee7-48ad-8d46-69a0dcb28789 · outbound
This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Reference 77
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2501434-08d2-465e-b527-0a1c29caccfe · outbound
This paper cites Magi-1: Autoregressive video generation at scale, 2025.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Magi-1: Autoregressive video generation at scale, 2025
Reference 78
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88a9b364-495f-4981-a93e-fb0067626203 · outbound
This paper cites Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model
Reference 79
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a22d91a2-71e3-43d3-a74f-9fde8ace6b8c · outbound
This paper cites Dragdiffusion: Harnessing diffusion models for interactive point-based image editing.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Dragdiffusion: Harnessing diffusion models for interactive point-based image editing
Reference 80
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6fdb347-8410-49d7-a3f4-87eebfbe09c0 · outbound
This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Make-A-Video: Text-to-Video Generation without Text-Video Data
Reference 81
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d490f859-6ccc-4e52-afd1-bf1382323b92 · outbound
This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
Reference 82
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b35739bc-9d62-4f04-bc2a-0f1c5a8ea958 · outbound
This paper cites Animate-X: Universal Character Image Animation with Enhanced Motion Representation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Animate-X: Universal Character Image Animation with Enhanced Motion Representation
Reference 83
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc4fa633-46fd-49cd-8158-098ff232e83d · outbound
This paper cites Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle
Reference 84
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71052253-bbdd-4a14-ae89-66771b695258 · outbound
This paper cites Gemma 3 Technical Report.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Gemma 3 Technical Report
Reference 85
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c79d273d-30ad-4186-bafe-ebb6ac539c9f · outbound
This paper cites an unresolved cited work.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Unresolved cited work
Reference 86
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e55a3bf-075d-4375-a7ec-717765318ab1 · outbound
This paper cites an unresolved cited work.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Unresolved cited work
Reference 87
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f59a7a3-5f8d-48b7-b9e1-e0984804100c · outbound
This paper cites Paddleocr.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Paddleocr
Reference 88
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa802251-b8ba-4cdf-a54d-ce8af139e7e7 · outbound
This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Wan: Open and Advanced Large-Scale Video Generative Models
Reference 89
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e3c765a-189b-4dfd-b82d-eaca53f409bd · outbound
This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 90
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42a426d6-43e7-472f-a8c0-8647655e4834 · outbound
This paper cites Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content
Reference 91
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 956c6d0d-814c-4d06-b946-94e4a5fb6d59 · outbound
This paper cites InstantID: Zero-shot Identity-Preserving Generation in Seconds.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation InstantID: Zero-shot Identity-Preserving Generation in Seconds
Reference 92
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4fd5de33-cbb1-4744-9e07-f6a94bc67674 · outbound
This paper cites VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models
Reference 93
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5788791-343a-4a42-b610-91b72e515481 · outbound
This paper cites Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation
Reference 94
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8daffc84-86b1-4a83-8ec4-10a2186913ec · outbound
This paper cites InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
Reference 95
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27bd54d9-7a9b-4961-a550-0366d6b1b154 · outbound
This paper cites Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation
Reference 96
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e7d5a2d-e248-40f9-abe4-65937c05c91b · outbound
This paper cites EchoVideo: Identity-Preserving Human Video Generation by Multimodal Feature Fusion.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation EchoVideo: Identity-Preserving Human Video Generation by Multimodal Feature Fusion
Reference 97
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7119b8e0-fdfa-4aae-aab3-d8766f96a204 · outbound
This paper cites Dreamvideo: Composing your dream videos with customized subject and motion.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Dreamvideo: Composing your dream videos with customized subject and motion
Reference 98
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1b967fb-9f0c-44cd-b544-e8908a293dc7 · outbound
This paper cites Exploring video quality assessment on user generated contents from aesthetic and technical perspectives.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Exploring video quality assessment on user generated contents from aesthetic and technical perspectives
Reference 99
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c48c9115-7c42-4700-92cb-3b8a15840695 · outbound
This paper cites Towards A Better Metric for Text-to-Video Generation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Towards A Better Metric for Text-to-Video Generation
Reference 101
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b5ae721-ba87-40ff-bab8-71e9c71c1738 · outbound
This paper cites MotionBooth: Motion-Aware Customized Text-to-Video Generation.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation MotionBooth: Motion-Aware Customized Text-to-Video Generation
Reference 102
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 3aca3f54-c5c7-42cd-9089-7b36a2819a38 · inbound
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Learning Zero-Shot Subject-Driven Video Generation Using 1% Compute OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 58
- Resolution
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- arxiv_id, observed 2026-05-22T17:51:54.359831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c203b860-2132-44a4-b42f-76f32dfc4acd · inbound
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UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 51
- Resolution
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- arxiv_id, observed 2026-05-12T17:34:27.064326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1f147232-5df2-4fc5-99ef-ccfb5336fef7 · inbound
Identity-Preserving Text-to-Video Generation via Training-Free Prompt, Image, and Guidance Enhancement cites this paper.
Identity-Preserving Text-to-Video Generation via Training-Free Prompt, Image, and Guidance Enhancement OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:42:42.185508Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df606aab-91b1-478b-acf8-815f5d58b22b · inbound
Rethinking Position Embedding as a Context Controller for Multi-Reference and Multi-Shot Video Generation cites this paper.
Rethinking Position Embedding as a Context Controller for Multi-Reference and Multi-Shot Video Generation OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T12:23:05.876881Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47eeac02-5dbc-4b30-b9c4-37208fa942b8 · inbound
OmniShow: Unifying Multimodal Conditions for Human-Object Interaction Video Generation cites this paper.
OmniShow: Unifying Multimodal Conditions for Human-Object Interaction Video Generation OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:11:00.839751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ca89bad4-82c4-42aa-8181-608e8e4bff9b · inbound
LIVE: Leveraging Image Manipulation Priors for Instruction-based Video Editing cites this paper.
LIVE: Leveraging Image Manipulation Priors for Instruction-based Video Editing OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 55
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T07:21:55.095118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 146ce315-82b4-4402-80e4-5c6faf90d9aa · inbound
MuSS: A Large-Scale Dataset and Cinematic Narrative Benchmark for Multi-Shot Subject-to-Video Generation cites this paper.
MuSS: A Large-Scale Dataset and Cinematic Narrative Benchmark for Multi-Shot Subject-to-Video Generation OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:11:19.210744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3c22f376-4c71-479b-ae69-5a2cacaa96a2 · inbound
MuSS: A Large-Scale Dataset and Cinematic Narrative Benchmark for Multi-Shot Subject-to-Video Generation cites this paper.
MuSS: A Large-Scale Dataset and Cinematic Narrative Benchmark for Multi-Shot Subject-to-Video Generation OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:51:15.130701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3b2377c7-e313-49fd-a656-7d491fbca3fb · inbound
EntityBench: Towards Entity-Consistent Long-Range Multi-Shot Video Generation cites this paper.
EntityBench: Towards Entity-Consistent Long-Range Multi-Shot Video Generation OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T03:19:44.040337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6884ece6-c3fc-4215-9ccc-eaebec221846 · inbound
FashionChameleon: Towards Real-Time and Interactive Human-Garment Video Customization cites this paper.
FashionChameleon: Towards Real-Time and Interactive Human-Garment Video Customization OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T20:13:43.506965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d0708f02-1251-4c41-98d5-c8e04e91a0cc · inbound
FashionChameleon: Towards Real-Time and Interactive Human-Garment Video Customization cites this paper.
FashionChameleon: Towards Real-Time and Interactive Human-Garment Video Customization OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T19:25:00.604747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3f51a193-c34a-4d5e-9ebd-0abde07ca1f5 · inbound
Omni-Customizer: End-to-End MultiModal Customization for Joint Audio-Video Generation cites this paper.
Omni-Customizer: End-to-End MultiModal Customization for Joint Audio-Video Generation OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T14:13:21.404522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ec6a5880-b1f9-4524-8903-030cab407046 · inbound
MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation cites this paper.
MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 74
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T05:18:03.111547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5717e354-4435-4328-84c4-ea7fe842b65e · inbound
MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation cites this paper.
MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 74
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T18:04:58.012646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cd359f9b-2198-495b-99ac-3411e362971e · inbound
Bernini: Latent Semantic Planning for Video Diffusion cites this paper.
Bernini: Latent Semantic Planning for Video Diffusion OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 91
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T06:41:10.560161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4b4fd2de-3168-4ea7-a51a-7561b92f26d8 · inbound
Tail-Aware HiFloat4: W4A4 Post-Training Quantization for Wan2.2 cites this paper.
Tail-Aware HiFloat4: W4A4 Post-Training Quantization for Wan2.2 OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T18:23:50.628549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e4cabb42-3932-46e4-9b28-ebaf7eacccd8 · inbound
Collaborative Few-Step Distillation and Low-Bit Quantization for Wan2.2 Dual-Expert Video Diffusion Models cites this paper.
Collaborative Few-Step Distillation and Low-Bit Quantization for Wan2.2 Dual-Expert Video Diffusion Models OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T19:02:34.320535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a615470e-d2b6-4529-8694-59cd4b3071a9 · inbound
HarmoView: Harmonizing Multi-View Constraints for Identity-Consistent Video Generation cites this paper.
HarmoView: Harmonizing Multi-View Constraints for Identity-Consistent Video Generation OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T04:37:36.638712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 90ac3907-af02-4025-9542-4cd1e31b21b3 · inbound
DomainShuttle: Freeform Open Domain Subject-driven Text-to-video Generation cites this paper.
DomainShuttle: Freeform Open Domain Subject-driven Text-to-video Generation OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T21:10:09.696509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 415ecded-5571-409f-9c9f-beb34b30e50a · inbound
Aura: Consistent Multi-Subject Video Generation via VLM-Grounded Semantic Alignment cites this paper.
Aura: Consistent Multi-Subject Video Generation via VLM-Grounded Semantic Alignment OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T20:11:31.576642Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 276855ba-c617-4634-a6d8-21ed7da399bb · inbound
Vera: Identity-Faithful Human Subject-to-Video Generation cites this paper.
Vera: Identity-Faithful Human Subject-to-Video Generation OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T10:24:52.920746Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fdba910-7052-43bc-a0ce-292612471ffe · inbound
RefCaptioner: Multi-Reference Image-Grounded Video Captioning cites this paper.
RefCaptioner: Multi-Reference Image-Grounded Video Captioning OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T05:08:20.144127Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.