Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:29:09.714955Z
Paper Citation Record · LEDGER
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
As of 13 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 16 inbound Pith citation observations for arXiv:2412.14167.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:41:05.395448Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T00:44:30.703474Z
Reference resolution
63 of 63 outbound references displayed
- verified exact0
- verified fuzzy21
- unresolved42
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 29fb56e2-debd-4e9e-b28d-0e7c0e724060 · outbound
This paper cites Accessed September 25, 2023 [Online] https:// research.runwayml.com/gen2, 2023.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Accessed September 25, 2023 [Online] https:// research.runwayml.com/gen2, 2023
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.790809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 88c6b5fd-5ade-4dc6-ab19-9f4880231ce5 · outbound
This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.399940Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 851732cb-529e-405b-aa81-fc79f02b549a · outbound
This paper cites StoryBench: A Multifaceted Benchmark for Continuous Story Visualization.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.773413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5b380d49-119c-4387-8efc-3adbbbc5c066 · outbound
This paper cites Emerg- ing properties in self-supervised vision transformers.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Emerg- ing properties in self-supervised vision transformers
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.410662Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0efbc46-f900-48e7-9814-532ecba6c628 · outbound
This paper cites GameGen-X: Interactive Open-world Game Video Generation.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation GameGen-X: Interactive Open-world Game Video Generation
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.415942Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb7e4dee-de38-4024-94c0-9532b998538b · outbound
This paper cites Videocrafter1: Open diffusion models for high-quality video generation, 2023.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Videocrafter1: Open diffusion models for high-quality video generation, 2023
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.421634Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91f75dda-9f3c-4bb4-b0c1-2f28f030fb63 · outbound
This paper cites Videocrafter2: Overcoming data limitations for high-quality video diffusion models, 2024.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Videocrafter2: Overcoming data limitations for high-quality video diffusion models, 2024
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.733828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation db3543b9-842d-4f01-ad6d-5bc3da64b6cf · outbound
This paper cites Pixart-α: Fast training of dif- fusion transformer for photorealistic text-to-image synthesis,.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Pixart-α: Fast training of dif- fusion transformer for photorealistic text-to-image synthesis,
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.432809Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 547818d4-8ee6-4805-ad5e-831fc3e2775a · outbound
This paper cites IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.438211Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7519e00-d128-4a9d-ab14-d1b9e56d620c · outbound
This paper cites Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.444764Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d09aec7f-c579-4c7e-8680-fcd0793c7db0 · outbound
This paper cites Perceptual quality assessment of smartphone photog- raphy.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Perceptual quality assessment of smartphone photog- raphy
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.705981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 052e9c53-66cf-4f71-b03e-44b7f6107e92 · outbound
This paper cites Make a cheap scaling: A self-cascade diffusion model for higher-resolution adapta- tion.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Make a cheap scaling: A self-cascade diffusion model for higher-resolution adapta- tion
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.455253Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1c2ce29-11cb-41b3-b7a8-aadf9f062ed5 · outbound
This paper cites VEnhancer: Generative Space-Time Enhancement for Video Generation.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation VEnhancer: Generative Space-Time Enhancement for Video Generation
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.460478Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d0d12e2-778a-4174-8b06-b6ee99820abf · outbound
This paper cites Latent video diffusion models for high-fidelity long video generation.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Latent video diffusion models for high-fidelity long video generation
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.465900Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b3d0bd0-d755-41fc-9ea7-07b3571d15b0 · outbound
This paper cites Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.470881Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation baa9cbfe-25e0-45b2-865e-348093b0b3b6 · outbound
This paper cites Scalecrafter: Tuning-free higher- resolution visual generation with diffusion models.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Scalecrafter: Tuning-free higher- resolution visual generation with diffusion models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.476427Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2b38911-5862-4138-bbd5-8f701d996848 · outbound
This paper cites GANs trained by a two time-scale update rule converge to a local nash equi- librium.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation GANs trained by a two time-scale update rule converge to a local nash equi- librium
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.656819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0d0478f4-c787-4e31-9025-01c2cda45ec9 · outbound
This paper cites Denoising Diffusion Probabilistic Models.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Denoising Diffusion Probabilistic Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.485697Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc033da9-9941-4705-9dcd-4ca14cd9f611 · outbound
This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.490337Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a299dbfb-390d-4752-9211-7f46521d884e · outbound
This paper cites T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-image Generation.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-image Generation
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.494866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7524db03-5f38-4054-86a8-8bda3d100ea7 · outbound
This paper cites VBench: Com- prehensive benchmark suite for video generative models.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation VBench: Com- prehensive benchmark suite for video generative models
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.641049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a7000bbc-1aa8-4f6d-bfdd-69f78a9fd062 · outbound
This paper cites MUSIQ: Multi-scale Image Quality Transformer.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation MUSIQ: Multi-scale Image Quality Transformer
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.504846Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03aaf810-1d51-458a-b261-37c1e2aad2f6 · outbound
This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Pick-a-pic: An open dataset of user preferences for text-to-image generation
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.624790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e78f03ad-4d0f-4ae8-ab64-362417307c09 · outbound
This paper cites aesthetic-predictor.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation aesthetic-predictor
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.606088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 45292a48-b438-4d33-9d6c-73483869b6b6 · outbound
This paper cites Holistic Evaluation of Text-To-Image Models.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Holistic Evaluation of Text-To-Image Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.520461Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14e2beaa-f02f-43a2-bbe6-167be83f5a23 · outbound
This paper cites T2v-turbo: Breaking the quality bottleneck of video consistency model with mixed reward feedback.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation T2v-turbo: Breaking the quality bottleneck of video consistency model with mixed reward feedback
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.589669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1eaab91d-b4e5-47a5-bfa0-5ed826b0d001 · outbound
This paper cites T2v- turbo-v2: Enhancing video generation model post-training through data, reward, and conditional guidance design, 2024.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation T2v- turbo-v2: Enhancing video generation model post-training through data, reward, and conditional guidance design, 2024
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.572521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 36664d69-a0f6-4689-afc6-f021932c656f · outbound
This paper cites Amt: All-pairs multi-field transforms for efficient frame interpolation.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Amt: All-pairs multi-field transforms for efficient frame interpolation
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.555636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d832fc1c-2925-4264-929b-4cfb1590dae3 · outbound
This paper cites Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.540795Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 942ae695-51df-41ed-84b3-0b8ce67e1e44 · outbound
This paper cites Evaluation of Text-to-Video Generation Models: A Dynamics Perspective.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Evaluation of Text-to-Video Generation Models: A Dynamics Perspective
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.546206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation affc9d91-3222-441d-beca-acf78f2505f9 · outbound
This paper cites Fr\'echet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Fr\'echet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.551416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7dbf854-cacc-4899-8b8b-65f921d8c6ee · outbound
This paper cites EvalCrafter: Benchmarking and Evaluating Large Video Generation Models.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation EvalCrafter: Benchmarking and Evaluating Large Video Generation Models
Reference 32
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 024a2ccb-5bf5-4f76-88fc-d164c47dddd4 · outbound
This paper cites Fetv: A bench- mark for fine-grained evaluation of open-domain text-to- video generation.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Fetv: A bench- mark for fine-grained evaluation of open-domain text-to- video generation
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.538569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 58f19b89-a6c6-4bcd-a540-2023f3b9f300 · outbound
This paper cites Follow your pose: Pose- guided text-to-video generation using pose-free videos.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Follow your pose: Pose- guided text-to-video generation using pose-free videos
Reference 34
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8393a62-3179-43ae-b17d-e5312bebe2f1 · outbound
This paper cites Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.572172Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a54cf72a-d7df-4a3c-addd-29083389b867 · outbound
This paper cites Scalable Diffusion Models with Transformers.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Scalable Diffusion Models with Transformers
Reference 36
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 588f494f-0327-4f25-86de-8a58721719be · outbound
This paper cites Video diffusion align- ment via reward gradients, 2024.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Video diffusion align- ment via reward gradients, 2024
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.510962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9173721a-9a1f-41df-89c5-21d1a437158b · outbound
This paper cites Learn- ing transferable visual models from natural language super- vision.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Learn- ing transferable visual models from natural language super- vision
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.587186Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa2fe8dc-007e-467b-92b2-9d708905b69b · outbound
This paper cites Direct preference optimization: Your language model is secretly a reward model.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Direct preference optimization: Your language model is secretly a reward model
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.482612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a015d651-40b1-4ef2-9d72-f31e761ff4a5 · outbound
This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.597635Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29e35810-3e18-4b1f-96a7-f214a18d69d1 · outbound
This paper cites Improved techniques for training gans.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Improved techniques for training gans
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.465366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation aeeaa898-28fc-4177-8cae-eb0aef7dc523 · outbound
This paper cites Laoin aesthetic predictor.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Laoin aesthetic predictor
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.446632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation dd13ddd6-c7bd-42a0-a196-d02406d2d3a4 · outbound
This paper cites Proximal Policy Optimization Algorithms.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Proximal Policy Optimization Algorithms
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.612450Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 028a2e6d-f855-4180-9c8f-2990d62260b1 · outbound
This paper cites Weiss, Niru Mah- eswaranathan, and Surya Ganguli.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Weiss, Niru Mah- eswaranathan, and Surya Ganguli
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.616965Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2f7a58f-f7da-4331-9f93-683519fb5627 · outbound
This paper cites T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.621420Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f21371a0-6918-4aa2-8411-878f39273fd5 · outbound
This paper cites Raft: Recurrent all-pairs field transforms for optical flow.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Raft: Recurrent all-pairs field transforms for optical flow
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.417098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 702005fb-83fc-4e43-a340-8ec68e14a4c5 · outbound
This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Towards Accurate Generative Models of Video: A New Metric & Challenges
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.630790Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0de17a53-2cde-4520-a58a-6bc221f77171 · outbound
This paper cites Diffusion model alignment using direct preference optimization, 2023.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Diffusion model alignment using direct preference optimization, 2023
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.399472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 07bab294-f1c2-45b5-bcc1-519d32781935 · outbound
This paper cites ModelScope Text-to-Video Technical Report.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation ModelScope Text-to-Video Technical Report
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.640088Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c46b99d5-48a4-4064-b7b3-34637478eab5 · outbound
This paper cites Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.645289Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d03d5c91-9382-4e5b-96a4-4452b676c569 · outbound
This paper cites VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.650381Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62dbabc1-3a4e-4863-b9fa-63b400082b8a · outbound
This paper cites Emu3: Next-Token Prediction is All You Need.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Emu3: Next-Token Prediction is All You Need
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.655570Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 367d5f98-c9ef-4f3e-a863-ae505c3e2974 · outbound
This paper cites InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.660540Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37d9aa9d-c521-41b0-8090-d32a024ee254 · outbound
This paper cites ART$\boldsymbol{\cdot}$V: Auto-Regressive Text-to-Video Generation with Diffusion Models.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation ART$\boldsymbol{\cdot}$V: Auto-Regressive Text-to-Video Generation with Diffusion Models
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.666484Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 646c1d86-a489-4340-ba33-775ab3af110b · outbound
This paper cites Towards A Better Metric for Text-to-Video Generation.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Towards A Better Metric for Text-to-Video Generation
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.671977Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35a68f62-0ad3-4beb-96fb-79f8d37cf80d · outbound
This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.677589Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7fc1f8e-96a5-480e-b8d6-cc5f29068854 · outbound
This paper cites Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.683205Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ab4391f-f2bc-4c14-be42-a50a948fa9ee · outbound
This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.688826Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eae76ef6-5175-4fa8-bae1-a8f9f2fd48c8 · outbound
This paper cites RRHF: Rank responses to align language models with human feedback.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation RRHF: Rank responses to align language models with human feedback
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.381907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 75c4eda2-2936-483b-a335-cec702ed44c1 · outbound
This paper cites Instructvideo: Instructing video dif- fusion models with human feedback.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Instructvideo: Instructing video dif- fusion models with human feedback
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.365803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 69183054-4cae-4b06-ad35-f13e2d8abcd7 · outbound
This paper cites ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.704495Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f42c634-3393-4e23-8de7-f4e7bf7442a5 · outbound
This paper cites SLiC-HF: Sequence Likelihood Calibration with Human Feedback.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation SLiC-HF: Sequence Likelihood Calibration with Human Feedback
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.709676Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5032d9ed-fec3-4e0c-a118-47c8f5d6beee · outbound
This paper cites Pythons, for example, can engage in cannibalism.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Pythons, for example, can engage in cannibalism
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:29:10.348584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
Observation 8cb364f3-53db-464b-8112-ed0d6b906e7e · inbound
Improving Video Generation with Human Feedback cites this paper.
Improving Video Generation with Human Feedback VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:30:02.757330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4b7dfb27-29df-4787-8dd6-14689437a9d8 · inbound
Unified Reward Model for Multimodal Understanding and Generation cites this paper.
Unified Reward Model for Multimodal Understanding and Generation VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T00:44:30.708242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9781c0e0-3201-44a3-b437-7808a97be87e · inbound
Flow-GRPO: Training Flow Matching Models via Online RL cites this paper.
Flow-GRPO: Training Flow Matching Models via Online RL VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:45:16.987213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation dee34ba8-d6fa-4bad-b356-73f8870b1062 · inbound
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency cites this paper.
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:41:05.395448Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4436ae88-6107-41d9-8836-d8f293434a2e · inbound
$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion cites this paper.
$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:03:39.100590Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38e59e8a-d385-4e29-98f1-7c5aa6a0a585 · inbound
ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects cites this paper.
ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:56:01.686720Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d805fd86-0973-4467-a9c2-0e1b4e80f0d6 · inbound
Scaling Image and Video Generation via Test-Time Evolutionary Search cites this paper.
Scaling Image and Video Generation via Test-Time Evolutionary Search VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:49:45.699804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16fa84b6-39c8-44b6-8b70-bf336ecbad5c · inbound
GigaVideo-1: Advancing Video Generation via Automatic Feedback with 4 GPU-Hours Fine-Tuning cites this paper.
GigaVideo-1: Advancing Video Generation via Automatic Feedback with 4 GPU-Hours Fine-Tuning VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:29:35.557881Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3b91f74-c925-4196-a87f-0d3bf56f71de · inbound
AlignHuman: Improving Motion and Fidelity via Timestep-Segment Preference Optimization for Audio-Driven Human Animation cites this paper.
AlignHuman: Improving Motion and Fidelity via Timestep-Segment Preference Optimization for Audio-Driven Human Animation VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:55:28.786930Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c6031e8-3145-4278-8fd3-74cb45b84fcd · inbound
Fake it till You Make it: Reward Modeling as Discriminative Prediction cites this paper.
Fake it till You Make it: Reward Modeling as Discriminative Prediction VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:30:41.785973Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 224177d5-4bbd-4e69-92e5-da7163db341e · inbound
Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion cites this paper.
Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:36:13.518047Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec73463d-1051-4d07-a729-7fcf599b405e · inbound
Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation cites this paper.
Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:20:22.847704Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79c69980-912a-41d8-ba49-9c43cdde4563 · inbound
From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms cites this paper.
From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:17:48.087137Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 101753c8-1118-4ab3-b192-a0e9435f41a8 · inbound
A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.
A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
Reference 131
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T08:15:23.910580Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71aa8cee-3b18-444f-b4b1-9cb9e5e14c93 · inbound
VERTIGO: Visual Preference Optimization for Cinematic Camera Trajectory Generation cites this paper.
VERTIGO: Visual Preference Optimization for Cinematic Camera Trajectory Generation VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T21:18:17.237981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0339f581-dcda-4717-9e07-71ad556a42a1 · inbound
VideoCoCo: Code-as-CoT for Physically-Consistent Video Generation via an Agentic Dual-Engine System cites this paper.
VideoCoCo: Code-as-CoT for Physically-Consistent Video Generation via an Agentic Dual-Engine System VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:28:05.640925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.