Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:08:54.361117Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2501.02706.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:08:54.361117Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
41 of 41 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a9f6610c-17e0-479b-bded-e395233f1dc1 · outbound
Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Image quality assessment in the modern age,
Reference 1
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Study of subjective and objective quality assessment of audio-visual signals,
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment A completely blind video integrity oracle,
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Blind prediction of natural video quality,
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Shortform ugc video quality assessment based on multi-level video fusion with rank-aware,
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Spatiotemporal statistics for video quality assessment,
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment An optical flow-based no-reference video quality assessment algorithm,
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Deep residual learning for image recognition,
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Observation 531ddb8e-88a7-4a1b-b037-cfbab4ace488 · outbound
Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Faster r-cnn: Towards real-time object detection with region proposal networks,
Reference 9
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Observation 8582cc8c-c37d-4329-97dd-f88590da405d · outbound
Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Video swin transformer,
Reference 10
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Observation 9cb16702-7675-4362-a911-d74ca85ded5e · outbound
Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment No-reference video quality assessment via feature learning,
Reference 11
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Observation 4cc96a3a-1d66-4b4f-b75e-996385e960a8 · outbound
Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Deep blind video quality assessment based on temporal human perception,
Reference 12
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Rirnet: Recurrent-in-recurrent network for video quality assessment,
Reference 13
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Observation 5020a9fc-265e-4cfc-9825-9638a0c24b6e · outbound
Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment A deep learning based no- reference quality assessment model for ugc videos,
Reference 14
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Observation 7ae08b92-42c5-49de-9fdb-23d8112198b0 · outbound
Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Zoom-vqa: Patches, frames and clips integration for video quality assessment,
Reference 15
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Observation 63956685-e722-495f-8249-cba645b37725 · outbound
Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Swin transformer: Hierarchical vision transformer using shifted windows,
Reference 16
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Observation 4b465d66-14a1-46b8-824d-26bead1d157d · outbound
Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Learning transferable visual models from natural language supervision,
Reference 17
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Ntire 2024 quality assessment of ai-generated content challenge,
Reference 18
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Observation 0dffa7d4-cee1-458b-901f-bd1426b89b8f · outbound
Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment
Reference 19
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators
Reference 20
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Observation 55f449f2-1835-48c4-b49a-6cd94495e8b7 · outbound
Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Reference 21
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation
Reference 22
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment ModelScope Text-to-Video Technical Report
Reference 23
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Observation 9e68c11c-84ea-4e4e-8c40-7261e07af676 · outbound
Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Latent video diffusion models for high-fidelity long video generation,
Reference 24
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Reference 25
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Large-scale study of perceptual video quality,
Reference 26
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,
Reference 27
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Observation d95d4986-97d4-40ef-b19e-b3656bd5fd82 · outbound
Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Imagereward: Learning and evaluating human preferences for text-to- image generation,
Reference 28
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
Reference 29
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation
Reference 30
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Learning transferable visual models from natural language supervision,
Reference 31
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Making a “completely blind
Reference 32
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Observation 3b178912-f47d-478a-90af-3bccbd5de7a8 · outbound
Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Faver: Blind quality prediction of variable frame rate videos,
Reference 33
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Exploring clip for assessing the look and feel of images,
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Observation 0b81aee4-feb7-48f2-a0f7-2848ba446f7c · outbound
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Reference 35
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Observation af7be65a-adf6-486b-af46-b06f7745ba8f · outbound
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Neighbourhood representative sampling for efficient end-to- end video quality assessment,
Reference 37
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Observation a41ed59e-35f5-4ab7-9c4f-c3ad730c7266 · outbound
Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Exploring Opinion-unaware Video Quality Assessment with Semantic Affinity Criterion
Reference 38
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
Reference 39
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Learning Transferable Visual Models From Natural Language Supervision
Reference 2021
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