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Paper Citation Record · LEDGER

Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2407.21408.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2407.21408 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:31:39.217938Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T18:56:58.213221Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4a2366aa-2a40-4a2a-a066-0a3c4e3f5eb0 · inbound

Human-Activity AGV Quality Assessment: A Benchmark Dataset and an Objective Evaluation Metric cites this paper.

Human-Activity AGV Quality Assessment: A Benchmark Dataset and an Objective Evaluation Metric Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model

Reference 105

Resolution
unresolved
no resolver link, observed 2026-08-12T12:59:42.872894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:59:42.872894Z digest=sha256:716a885c78a12d86673616b221ed712084d89625783881a63aaa4e2e39b987ef

Observation 57919392-6be5-4480-a876-37eb60ab28e6 · inbound

AIGV-Assessor: Benchmarking and Evaluating the Perceptual Quality of Text-to-Video Generation with LMM cites this paper.

AIGV-Assessor: Benchmarking and Evaluating the Perceptual Quality of Text-to-Video Generation with LMM Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-12T12:27:41.843986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:27:41.843986Z digest=sha256:5e82c79b8589f023ecb42c29c0f025b378498feaeed874c5ad9d5389b45e667f

Observation fc2cb04a-3db2-47f2-ad53-20db399ca5a9 · inbound

Video Quality Assessment: A Comprehensive Survey cites this paper.

Video Quality Assessment: A Comprehensive Survey Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model

Reference 147

Resolution
unresolved
no resolver link, observed 2026-08-11T22:52:57.146697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:52:57.146697Z digest=sha256:f77ddbd0fad3bd4ef1876556827ac3c51967546f6f01db4fdee02ad9cc1c0aae

Observation 0f481d93-ab49-4145-9808-ea9fe352c893 · inbound

MotiF: Making Text Count in Image Animation with Motion Focal Loss cites this paper.

MotiF: Making Text Count in Image Animation with Motion Focal Loss Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T10:49:06.709009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:49:06.709009Z digest=sha256:073a01101f1a12db71f58a41e3d308c6e8d43455b5fedd9af46a55298afea19a

Observation cdefbd3a-84d6-4978-ad6c-feaeb8204f69 · inbound

We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback cites this paper.

We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-22T18:56:58.216849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T18:56:39.735334Z digest=sha256:d6da80528248de3e49d972f744ff672923283654ffa57e28fc6487b13a79cc86

Observation dea5d06e-9e51-4328-a8f4-1236abdf371f · inbound

LMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs cites this paper.

LMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-16T05:31:39.217938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:31:39.217938Z digest=sha256:0af3c26f3a26e02a5b59b8c23d5a555c241160af3dc3d80f5251e3584bb1ae42

Observation 47c68798-8b00-467d-a50b-6009b943bfeb · inbound

LOVE: Benchmarking and Evaluating Text-to-Video Generation and Video-to-Text Interpretation cites this paper.

LOVE: Benchmarking and Evaluating Text-to-Video Generation and Video-to-Text Interpretation Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T20:46:46.012113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:46:46.012113Z digest=sha256:664fac2af3c174360e700a222eebffdca094ac0835871e263800b4f5ced79dc8

Observation b045729c-2387-4c2c-b6d5-45117a689e69 · inbound

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning cites this paper.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:50.814766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:50.814766Z digest=sha256:e36cd413565284713be9467f1abdc3e15d04150cfb8434f2201be17abb42394e

Observation 8d29674c-8c89-454a-88ac-98860673220b · inbound

Efficient Face Image Quality Assessment via Self-training and Knowledge Distillation cites this paper.

Efficient Face Image Quality Assessment via Self-training and Knowledge Distillation Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:10.750858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:29:10.750858Z digest=sha256:37c731b6d3fc87aac6bb224f5a6f1aa9b61d5766c308d607e35ac05cc67ccb1c

Observation b92da762-2c52-4b8e-aef8-0d1ea8bb9240 · inbound

Engagement Prediction of Short Videos with Large Multimodal Models cites this paper.

Engagement Prediction of Short Videos with Large Multimodal Models Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T05:00:18.838965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:00:18.838965Z digest=sha256:cd811711066d672bf0bcf0e0ad0214b554c417ec95fd7cf4e8b94cf26a431956

Observation c46b2bba-f5ae-4eb7-bf41-b43d8f6aff0e · inbound

Multi-Dimensional Quality Assessment for AI-Generated Human-Centric Videos: Dataset and Model cites this paper.

Multi-Dimensional Quality Assessment for AI-Generated Human-Centric Videos: Dataset and Model Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T20:07:42.771208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:07:42.771208Z digest=sha256:18aa7fc6f82f66ba27b1dfd95e77780625a813a2b58cdf7a1da77cec12deb879