Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2403.11956.
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
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:27:41.608980Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T18:56:58.317834Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation a96f6438-16bc-4c25-bc1c-bd97bc92a696 · inbound
VideoPhy: Evaluating Physical Commonsense for Video Generation Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ec186115-6134-4921-9a42-321e6d377f4b · inbound
AIGV-Assessor: Benchmarking and Evaluating the Perceptual Quality of Text-to-Video Generation with LMM Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90f678c1-e74a-4514-a287-284dcf805078 · inbound
Video Quality Assessment: A Comprehensive Survey Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment
Reference 145
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0dffa7d4-cee1-458b-901f-bd1426b89b8f · inbound
Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 914a7771-8066-4d7e-9c79-0462a2fc1460 · inbound
IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 249154e6-5495-43f8-8529-cc6f2f248189 · inbound
Content-Rich AIGC Video Quality Assessment via Intricate Text Alignment and Motion-Aware Consistency Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc6ca5cc-cb14-43b7-819a-84c2b23b2f87 · inbound
Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d664cd5-c705-48a8-a8ce-35f281bbdbe4 · inbound
We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a9f50fd2-8410-4887-94a1-fddec84a7c47 · inbound
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment
Reference 42
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48834cd8-e392-4150-ba5f-bf5a6aa21973 · inbound
NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment
Reference 88
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 005fcb5e-13c4-450f-acd2-ae63d1b1e282 · inbound
AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.