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Paper Citation Record · LEDGER

Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment

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.

pith.paper-citation-record.v1
2403.11956 v5

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 2026-08-20T06:33:59.587034+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:27:41.608980Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T18:56:58.317834Z

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 a96f6438-16bc-4c25-bc1c-bd97bc92a696 · inbound

VideoPhy: Evaluating Physical Commonsense for Video Generation cites this paper.

VideoPhy: Evaluating Physical Commonsense for Video Generation Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:34:37.799021Z

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.

source=pdf_text observed=2026-05-20T11:34:37.599691Z digest=sha256:da5f5366e4f4e53ecb69d3612217806638f62844ed5fb3b1f386c722b4508eba

Observation ec186115-6134-4921-9a42-321e6d377f4b · 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 Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T12:27:41.608980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:27:41.608980Z digest=sha256:7df943d33f7423a4f8aca9959861e6d89e241d1973d29f13e61e92c535691764

Observation 90f678c1-e74a-4514-a287-284dcf805078 · inbound

Video Quality Assessment: A Comprehensive Survey cites this paper.

Video Quality Assessment: A Comprehensive Survey Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment

Reference 145

Resolution
unresolved
no resolver link, observed 2026-08-11T22:52:57.139247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:52:57.139247Z digest=sha256:a3e28b65b34a02d077ff4a688fb136e781a88d83fd87b97e8b477c4a5288614e

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

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment cites this paper.

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T22:08:54.273396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:08:54.273396Z digest=sha256:e9d1dadeb97e75174edaaecd8b1c092d4fb7e42fd83c43df75ec7b401e479514

Observation 914a7771-8066-4d7e-9c79-0462a2fc1460 · inbound

IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-10T19:36:21.644637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:36:21.644637Z digest=sha256:974b1df52056dec5ebdbda9440369fb0cbb5e4ae439e386c801c7540b5001d9a

Observation 249154e6-5495-43f8-8529-cc6f2f248189 · inbound

Content-Rich AIGC Video Quality Assessment via Intricate Text Alignment and Motion-Aware Consistency cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-08T23:40:21.554288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:40:21.554288Z digest=sha256:73ae1f17b050d9580713f33040b5ddb1d3b77a9de27e52210a91adc77002d38e

Observation cc6ca5cc-cb14-43b7-819a-84c2b23b2f87 · inbound

Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-08T17:27:25.732210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:27:25.732210Z digest=sha256:64d9d28a80077f50d7d1e6cd50dbf666f71a9d824bde22c1d75d2968a2159add

Observation 2d664cd5-c705-48a8-a8ce-35f281bbdbe4 · 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 Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-22T18:56:58.320868Z

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.

source=pdf_text observed=2026-05-22T18:56:39.735334Z digest=sha256:31512d6bace7be37eb900243408bb1e7171f930733ca458e90dc0f8503addaea

Observation a9f50fd2-8410-4887-94a1-fddec84a7c47 · inbound

OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:31.052527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:31.052527Z digest=sha256:9e96f155fb794716bbd02556c98dacbb779b86e3ada002163d659133c803e539

Observation 48834cd8-e392-4150-ba5f-bf5a6aa21973 · inbound

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results cites this paper.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-07T11:20:51.239693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:20:51.239693Z digest=sha256:9c63d4eeb62014f78ed1cb5ddc4081e788e41c9d7d5654eb6e72ace289f27921

Observation 005fcb5e-13c4-450f-acd2-ae63d1b1e282 · inbound

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:03:01.155663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:03:01.155663Z digest=sha256:3cdb2e6a433775e6cddd5fe478a802d538db4299ec928065c31993404839fa88