Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T15:44:02.709823Z
Paper Citation Record · LEDGER
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation
As of 15 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2604.10127.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-09T22:50:19.910504Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T22:56:37.668187Z
Reference resolution
44 of 44 outbound references displayed
- verified exact15
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5cd1592e-c817-4749-9c02-3a0e60639e58 · outbound
This paper cites Vivit: A video vision transformer.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Vivit: A video vision transformer
Reference 1
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2052df63-a9ef-4b86-b837-f5097c252c7c · outbound
This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T09:56:04.400139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 418dfc18-4ce5-4868-bf82-e384f8092c66 · outbound
This paper cites Align your latents: High-resolution video synthesis with la- tent diffusion models.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Align your latents: High-resolution video synthesis with la- tent diffusion models
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:00:07.250894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ce9155aa-2eae-492e-8751-ee4a8a65b054 · outbound
This paper cites Routledge.
Reference 4
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5b8f2416-d163-4790-80cf-d11411a243d4 · outbound
This paper cites Emerg- ing properties in self-supervised vision transformers.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Emerg- ing properties in self-supervised vision transformers
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation baaafa21-3a94-4569-b7b0-7a0cb5d0ac04 · outbound
This paper cites Vlp: A survey on vision-language pre-training.Machine Intelligence Re- search, 20(1):38–56.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Vlp: A survey on vision-language pre-training.Machine Intelligence Re- search, 20(1):38–56
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 26acd60d-1786-483d-82a4-8b1ae874494d · outbound
This paper cites Cinematography: the creative use of reality.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Cinematography: the creative use of reality
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:00:07.279292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 40feeb99-cead-4061-9298-823f4be60d9f · outbound
This paper cites Coarse-to-fine vision-language pre-training with fusion in the backbone.Advances in neural information processing systems, 35:32942–32956.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Coarse-to-fine vision-language pre-training with fusion in the backbone.Advances in neural information processing systems, 35:32942–32956
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e904f042-1628-4e14-a2fd-8e03a48c0556 · outbound
This paper cites Vision-language pre-training: Basics, re- cent advances, and future trends.Foundations and Trends® in Computer Graphics and Vision, 14(3–4):163–352.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Vision-language pre-training: Basics, re- cent advances, and future trends.Foundations and Trends® in Computer Graphics and Vision, 14(3–4):163–352
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 87f8e292-022d-49b9-bf66-f4138d8e9778 · outbound
This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Reference 10
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 37174476-cb64-4463-8992-f5eec209e928 · outbound
This paper cites LTX-Video: Realtime Video Latent Diffusion.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation LTX-Video: Realtime Video Latent Diffusion
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:36:12.849504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 52b0e74e-1bd0-434c-9d45-69d4d481d760 · outbound
This paper cites Clipscore: A reference-free evaluation met- ric for image captioning.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Clipscore: A reference-free evaluation met- ric for image captioning
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:00:07.254265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e70f44df-7637-4e66-ac39-67b48e8e16e6 · outbound
This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation db2091d2-1935-467a-bd86-888bd5926bd4 · outbound
This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Imagen Video: High Definition Video Generation with Diffusion Models
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T09:56:04.306752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 78d66841-5e30-4077-b0e5-0971476d6840 · outbound
This paper cites Vbench: Comprehensive bench- mark suite for video generative models.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Vbench: Comprehensive bench- mark suite for video generative models
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1aa89c0c-d43b-4fb3-b28a-cedbdcc742a5 · outbound
This paper cites Musiq: Multi-scale image quality transformer.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Musiq: Multi-scale image quality transformer
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:00:07.220339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 67e6148b-8642-4073-a109-5741278131b3 · outbound
This paper cites Text2video-zero: Text- to-image diffusion models are zero-shot video generators.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Text2video-zero: Text- to-image diffusion models are zero-shot video generators
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:00:07.217172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7ffbe592-bb58-4e18-b186-f29f1bc35cdc · outbound
This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation HunyuanVideo: A Systematic Framework For Large Video Generative Models
Reference 18
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 790860a8-65b7-48c0-beb2-1a438e60a970 · outbound
This paper cites Dit: Self-supervised pre-training for docu- ment image transformer.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Dit: Self-supervised pre-training for docu- ment image transformer
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:00:07.238122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 12fb8910-0c8c-41f7-ba62-1ef463557e78 · outbound
This paper cites Fetv: A bench- mark for fine-grained evaluation of open-domain text-to- video generation.Advances in Neural Information Process- ing Systems, 36:62352–62387.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Fetv: A bench- mark for fine-grained evaluation of open-domain text-to- video generation.Advances in Neural Information Process- ing Systems, 36:62352–62387
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation faddecd5-2b36-42b3-a0cd-8a9fa2401e6c · outbound
This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T13:43:11.511714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f5710549-4471-4ff3-bdb6-c5a262d95b1d · outbound
This paper cites Video swin transformer.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Video swin transformer
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:00:07.247853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a2a1123d-922c-43f3-a1f0-c1291002f8b1 · outbound
This paper cites VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:56:04.349804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b871c440-51ff-42d3-a484-971a3f62b589 · outbound
This paper cites Latte: Latent Diffusion Transformer for Video Generation.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Latte: Latent Diffusion Transformer for Video Generation
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T21:45:35.835056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 85075812-f637-4202-b862-8a26f2f21723 · outbound
This paper cites an unresolved cited work.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T19:00:07.244632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 14018c56-0b63-4e72-93be-da25f77fb2fd · outbound
This paper cites Qianqian Qiao, DanDan Zheng, Yihang Bo, Bao Peng, Heng Huang, Longteng Jiang, Huaye Wang, Jingdong Chen, Jun Zhou, and Xin Jin.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Qianqian Qiao, DanDan Zheng, Yihang Bo, Bao Peng, Heng Huang, Longteng Jiang, Huaye Wang, Jingdong Chen, Jun Zhou, and Xin Jin
Reference 26
- Resolution
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- arxiv_id, observed 2026-05-11T09:56:04.239420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dfecb999-6bac-4bb7-b2cf-ee8558909ef8 · outbound
This paper cites Learning transferable visual models from natural language supervi- sion.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Learning transferable visual models from natural language supervi- sion
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:00:07.286336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 22a320d7-b28c-4cf0-8749-4a3baa32ce47 · outbound
This paper cites Video transformers: A survey.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, 45(11):12922–12943.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Video transformers: A survey.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, 45(11):12922–12943
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:00:07.295548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bd1106fe-a096-4951-9ec4-fa49a8765e4a · outbound
This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Make-A-Video: Text-to-Video Generation without Text-Video Data
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T09:56:04.222407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9549349f-09a3-40de-bc7c-d055cc52871a · outbound
This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Score-Based Generative Modeling through Stochastic Differential Equations
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T09:56:04.363702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8463eb7c-70e3-4208-b764-2b0f51df1934 · outbound
This paper cites T2v-compbench: A comprehen- sive benchmark for compositional text-to-video generation.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation T2v-compbench: A comprehen- sive benchmark for compositional text-to-video generation
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:00:07.299014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ecec6641-0f10-4b85-9e6b-078593bce66c · outbound
This paper cites Human-Centric Foundation Models: Perception, Generation and Agentic Modeling.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Human-Centric Foundation Models: Perception, Generation and Agentic Modeling
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:56:04.291715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 10c5522a-96a5-44ee-a949-37a09cc3dd18 · outbound
This paper cites Mochi 1.https :/ /github .com/ genmoai/models.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Mochi 1.https :/ /github .com/ genmoai/models
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:00:07.289840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e9e5e516-09d9-4c14-ad71-102e0b4b142c · outbound
This paper cites Fvd: A new metric for video generation.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Fvd: A new metric for video generation
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:00:07.292452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 96a76333-4039-40a6-8be8-a661adf831c0 · outbound
This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Wan: Open and Advanced Large-Scale Video Generative Models
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T09:56:04.332815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2fa36a80-8dbb-40a1-b1ce-ab5a4886134e · outbound
This paper cites ModelScope Text-to-Video Technical Report.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation ModelScope Text-to-Video Technical Report
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T19:47:29.701736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a912fea2-09af-4060-9495-478091b24005 · outbound
This paper cites Image as a foreign language: Beit pretraining for vision and vision- language tasks.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Image as a foreign language: Beit pretraining for vision and vision- language tasks
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:00:07.302338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 85b0ddfa-802e-40b1-829a-39a90a36a227 · outbound
This paper cites Lavie: High-quality video generation with cascaded latent diffusion models.International Journal of Computer Vision, 133(5):3059–3078.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Lavie: High-quality video generation with cascaded latent diffusion models.International Journal of Computer Vision, 133(5):3059–3078
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:00:07.305485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3a97ed02-abad-49cf-b48b-d11fe8595dee · outbound
This paper cites Is your world simulator a good story presenter? a consecu- tive events-based benchmark for future long video genera- tion.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Is your world simulator a good story presenter? a consecu- tive events-based benchmark for future long video genera- tion
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:00:07.276224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4de2634f-3b2e-416d-825d-56f5761e7210 · outbound
This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T09:56:04.207177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dae9b72d-a58e-44be-9e54-faa4665804ef · outbound
This paper cites Chronomagic-bench: A bench- mark for metamorphic evaluation of text-to-time-lapse video generation.Advances in Neural Information Processing Sys- tems, 37:21236–21270.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Chronomagic-bench: A bench- mark for metamorphic evaluation of text-to-time-lapse video generation.Advances in Neural Information Processing Sys- tems, 37:21236–21270
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:00:07.228003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f7a13e18-dde9-4921-82f6-6f1397bf8c2b · outbound
This paper cites Show-1: Marrying pixel and latent diffusion models for text-to-video generation.International Journal of Com- puter Vision, 133(4):1879–1893.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Show-1: Marrying pixel and latent diffusion models for text-to-video generation.International Journal of Com- puter Vision, 133(4):1879–1893
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:00:07.273251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 296ebec5-19c5-4325-a6e7-6fc5dbda2b7f · outbound
This paper cites Adding conditional control to text-to-image diffusion models.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Adding conditional control to text-to-image diffusion models
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:00:07.231615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c44fc420-4c93-4dcc-9607-6c66d6cea954 · outbound
This paper cites VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness.
VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T18:42:03.548540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
Observation f846dc8d-16f9-4d8f-af17-f167e909f6d7 · inbound
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations cites this paper.
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T22:56:37.669414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.