Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.21408.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:20:50.814766Z
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 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 2026-08-09T06:31:02.800959+00:00.
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.
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.
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.
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.