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Paper Citation Record · LEDGER

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment

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.

pith.paper-citation-record.v1
2501.02706 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:08:54.361117Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

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  • verified fuzzy17
  • unresolved22
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a9f6610c-17e0-479b-bded-e395233f1dc1 · outbound

This paper cites Image quality assessment in the modern age,.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Image quality assessment in the modern age,

Reference 1

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verified fuzzy
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Observation 85c70d1d-5caa-4377-ba0d-6c78486d97f2 · outbound

This paper cites Study of subjective and objective quality assessment of audio-visual signals,.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Study of subjective and objective quality assessment of audio-visual signals,

Reference 2

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Source-reported events for the cited work

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Observation 4b492d20-8c7b-44b0-865a-f4aeb001777d · outbound

This paper cites A completely blind video integrity oracle,.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment A completely blind video integrity oracle,

Reference 3

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Source-reported events for the cited work

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Observation bc5c3f7d-ecfd-4731-a4d8-58a635188f8f · outbound

This paper cites Blind prediction of natural video quality,.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Blind prediction of natural video quality,

Reference 4

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Source-reported events for the cited work

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Observation 72de9d77-5b5c-490e-b8f7-ee3547df1b4d · outbound

This paper cites Shortform ugc video quality assessment based on multi-level video fusion with rank-aware,.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Shortform ugc video quality assessment based on multi-level video fusion with rank-aware,

Reference 5

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Source-reported events for the cited work

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Observation 43df110d-5b02-43a4-bb5a-0ad5b6cfd70c · outbound

This paper cites Spatiotemporal statistics for video quality assessment,.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Spatiotemporal statistics for video quality assessment,

Reference 6

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Source-reported events for the cited work

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Observation d02acb8f-75ab-44c8-a81b-80fa312bc393 · outbound

This paper cites An optical flow-based no-reference video quality assessment algorithm,.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment An optical flow-based no-reference video quality assessment algorithm,

Reference 7

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Observation 962f4d09-fe6e-4456-ab05-eb1717a50024 · outbound

This paper cites Deep residual learning for image recognition,.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Deep residual learning for image recognition,

Reference 8

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Observation 531ddb8e-88a7-4a1b-b037-cfbab4ace488 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

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

This paper cites Video swin transformer,.

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

This paper cites No-reference video quality assessment via feature learning,.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment No-reference video quality assessment via feature learning,

Reference 11

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Source-reported events for the cited work

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Observation 4cc96a3a-1d66-4b4f-b75e-996385e960a8 · outbound

This paper cites Deep blind video quality assessment based on temporal human perception,.

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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Source-reported events for the cited work

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Observation 7a150180-6716-4413-9fe3-97b5612daaaa · outbound

This paper cites Rirnet: Recurrent-in-recurrent network for video quality assessment,.

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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Source-reported events for the cited work

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Observation 5020a9fc-265e-4cfc-9825-9638a0c24b6e · outbound

This paper cites A deep learning based no- reference quality assessment model for ugc videos,.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 7ae08b92-42c5-49de-9fdb-23d8112198b0 · outbound

This paper cites Zoom-vqa: Patches, frames and clips integration for video quality assessment,.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 63956685-e722-495f-8249-cba645b37725 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4b465d66-14a1-46b8-824d-26bead1d157d · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Learning transferable visual models from natural language supervision,

Reference 17

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Observation 7076f63b-08aa-4531-8aba-6dfb82ba00ab · outbound

This paper cites Ntire 2024 quality assessment of ai-generated content challenge,.

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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Source-reported events for the cited work

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Observation 0dffa7d4-cee1-458b-901f-bd1426b89b8f · outbound

This paper cites Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment.

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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Observation 6ffc738d-3afc-4965-b736-daf07fbe5a6f · outbound

This paper cites Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators.

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

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

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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Observation 9e43cdae-2324-4f17-888c-2cf8d618468e · outbound

This paper cites VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation.

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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Observation c3ce35dc-cd98-40e7-93ff-ce18f0949386 · outbound

This paper cites ModelScope Text-to-Video Technical Report.

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

This paper cites Latent video diffusion models for high-fidelity long video generation,.

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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Source-reported events for the cited work

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Observation a270f01b-d46c-4bac-9c24-7a0b2e1a68b2 · outbound

This paper cites Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation

Reference 25

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Observation 7f5c8f57-9ede-483c-a52c-ef73457bc7c0 · outbound

This paper cites Large-scale study of perceptual video quality,.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Large-scale study of perceptual video quality,

Reference 26

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Observation 25df0c9e-d473-489f-8e15-1902a6fb8188 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

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

This paper cites Imagereward: Learning and evaluating human preferences for text-to- image generation,.

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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Observation a9fe933a-7450-4abe-84e2-758c87633611 · outbound

This paper cites InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation.

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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Observation b7adbdf0-ff70-41f1-a43f-21b2277e72b5 · outbound

This paper cites FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation.

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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Observation 497994ec-7962-41e9-9a14-3b8671d6c355 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Learning transferable visual models from natural language supervision,

Reference 31

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Unavailable: canonical work link unavailable.

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Observation 5675045f-3df4-46fe-8175-04f9bb794afb · outbound

This paper cites Making a “completely blind.

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

This paper cites Faver: Blind quality prediction of variable frame rate videos,.

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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Source-reported events for the cited work

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Observation c17c5883-93bf-4b57-acce-e7efa3cbc35f · outbound

This paper cites Exploring clip for assessing the look and feel of images,.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Exploring clip for assessing the look and feel of images,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0b81aee4-feb7-48f2-a0f7-2848ba446f7c · outbound

This paper cites Blindly assess quality of in-the-wild videos via quality-aware pre-training and motion perception,.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Blindly assess quality of in-the-wild videos via quality-aware pre-training and motion perception,

Reference 35

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Observation af7be65a-adf6-486b-af46-b06f7745ba8f · outbound

This paper cites Fast-vqa: Efficient end-to-end video quality assessment with fragment sampling,.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Fast-vqa: Efficient end-to-end video quality assessment with fragment sampling,

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2ac35e91-7d2d-4c7b-8da1-c95f2245e921 · outbound

This paper cites Neighbourhood representative sampling for efficient end-to- end video quality assessment,.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Neighbourhood representative sampling for efficient end-to- end video quality assessment,

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a41ed59e-35f5-4ab7-9c4f-c3ad730c7266 · outbound

This paper cites Exploring Opinion-unaware Video Quality Assessment with Semantic Affinity Criterion.

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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verified exact
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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 9e6499df-dd75-46c3-b53a-756ab497c0b6 · outbound

This paper cites Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.

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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Observation fb1cf802-32d1-48d2-b2d1-95f17faa8ac7 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Learning Transferable Visual Models From Natural Language Supervision

Reference 2021

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unresolved
no resolver link, observed 2026-08-10T22:08:54.265025Z

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Observation 4bfdaa4b-4bbd-4caf-9e20-00cb41d9d5b8 · outbound

This paper cites BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Reference 2022

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unresolved
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Pith citing papers

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