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Paper Citation Record · LEDGER

Measuring the Quality of Text-to-Video Model Outputs: Metrics and Dataset

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2309.08009.

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

pith.paper-citation-record.v1
2309.08009 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:31:38.851601Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:04:46.792679Z

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 2fd06036-f3d1-4d77-a410-6edc235edf89 · inbound

What You See Is What Matters: A Novel Visual and Physics-Based Metric for Evaluating Video Generation Quality cites this paper.

What You See Is What Matters: A Novel Visual and Physics-Based Metric for Evaluating Video Generation Quality Measuring the Quality of Text-to-Video Model Outputs: Metrics and Dataset

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T17:06:37.385835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:06:37.385835Z digest=sha256:c7272dfdf5e15f6660f37a00bc8ad6b8b1b99513bebee985fbca56fa726a1d7f

Observation 51f155c3-3c35-45f9-a22a-44d4299e0997 · inbound

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification cites this paper.

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification Measuring the Quality of Text-to-Video Model Outputs: Metrics and Dataset

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T14:26:21.884353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:26:21.884353Z digest=sha256:948ffe99c898c5151cbadad962a1ba2084f34388130cddb378db3d1af7832752

Observation bf2aca5f-0199-4038-be35-5daad1ad338a · 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 Measuring the Quality of Text-to-Video Model Outputs: Metrics and Dataset

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T12:27:41.542316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:27:41.542316Z digest=sha256:68a2e91018379dc55edf0e298245fc8d02ac5542861eb9ddf3a2f1b8e1fbb84f

Observation e6742245-96bf-4661-82dd-355a6bd4bf7d · inbound

Video Quality Assessment: A Comprehensive Survey cites this paper.

Video Quality Assessment: A Comprehensive Survey Measuring the Quality of Text-to-Video Model Outputs: Metrics and Dataset

Reference 141

Resolution
unresolved
no resolver link, observed 2026-08-11T22:52:57.123628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:52:57.123628Z digest=sha256:f07b495785d8c2d23f6537d0679ad1015dcf35a60bb712cccaf13f2ac2383891

Observation 7ae74922-e14c-4e8e-8771-ebd7cfa83670 · 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 Measuring the Quality of Text-to-Video Model Outputs: Metrics and Dataset

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T05:31:38.851601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:31:38.851601Z digest=sha256:ffcfc0997383c5d9d1bba5ff97757f665e352e364cddb45fe1d6c5868ae548ed

Observation 5ca14115-61a2-4657-a9ba-fb77ed92e633 · 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 Measuring the Quality of Text-to-Video Model Outputs: Metrics and Dataset

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T20:46:46.008655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:46:46.008655Z digest=sha256:7d3401f29ccc5bafc806c72488e723cfead2455a81c76f17b687860bd70edc54

Observation d91d9950-8331-4621-88b2-bd3d8d393b26 · inbound

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

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Measuring the Quality of Text-to-Video Model Outputs: Metrics and Dataset

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T11:20:45.435680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:20:45.435680Z digest=sha256:f438c42b70bc6a4ce7e2dc2237f047d8f86d86836bd813c63f70453d9afba7d7

Observation b69d4fce-1bb9-4201-92d0-5bf03bd6b239 · inbound

LEHA-CVQAD: Dataset To Enable Generalized Video Quality Assessment of Compression Artifacts cites this paper.

LEHA-CVQAD: Dataset To Enable Generalized Video Quality Assessment of Compression Artifacts Measuring the Quality of Text-to-Video Model Outputs: Metrics and Dataset

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:04:46.795657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:04:45.358698Z digest=sha256:c73058aeb075a60ce687deff5805812bd4d22faf4baa1e42a54ec63e87ed8024

Observation 0f5967ca-2e31-451f-b728-742f5cea1a9b · inbound

GeneVA: A Dataset of Human Annotations for Generative Text to Video Artifacts cites this paper.

GeneVA: A Dataset of Human Annotations for Generative Text to Video Artifacts Measuring the Quality of Text-to-Video Model Outputs: Metrics and Dataset

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:21.186153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:21.186153Z digest=sha256:3f87169e1f93a0374622ee8eb9a91ad2a9ba0adcc83d7b7c3d776df922f23dbd