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Paper Citation Record · LEDGER

Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2211.04894.

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

pith.paper-citation-record.v1
2211.04894 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:27:25.839922Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-05T12:41:04.315667Z

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 e37dcbaa-da71-44b8-a027-feca30e8ca17 · 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 Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-08T17:27:25.839922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:27:25.839922Z digest=sha256:77e386a86f5f2a015ee955c2587fc83f6ce8773efeb82e0ce27824ffa2f71f67

Observation f3fca16f-ecdd-4e23-ad5a-785f62a569fd · inbound

EyeSim-VQA: A Free-Energy-Guided Eye Simulation Framework for Video Quality Assessment cites this paper.

EyeSim-VQA: A Free-Energy-Guided Eye Simulation Framework for Video Quality Assessment Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T04:09:34.126453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:09:34.126453Z digest=sha256:88338a952346e0afb1135e9e132586d33cf9340760e577060aca29d99fba3d69

Observation 30387dab-cdb1-473f-a0c6-fbf29b217873 · 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 Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T21:03:03.431138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:03:03.431138Z digest=sha256:71064e4b80210c95268b42024aa85ffc90cba8dff3278e1f85fb4005a9064783

Observation 9c5a1ec2-ac5d-4256-a93c-b4202b39f968 · 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 Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T20:04:45.437541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:04:45.437541Z digest=sha256:1b15765b2efa417db0f111d6e48e7f26976d465819d61f4e754e81f8c2f89005

Observation 98f798cb-49cb-4ea0-b590-efac2eee7469 · inbound

Tiled Prompts: Overcoming Prompt Misguidance in Image and Video Super-Resolution cites this paper.

Tiled Prompts: Overcoming Prompt Misguidance in Image and Video Super-Resolution Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

Reference 54

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T08:32:36.317796Z

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.

source=pdf_text observed=2026-05-16T08:32:16.532299Z digest=sha256:45a9ac44aa2e30106396ce01523f01e807f57adcc1b04c294806cf12af83a80d

Observation a99a77e8-fe9f-487b-bb49-6082f929267a · inbound

Motif-Video 2B: Technical Report cites this paper.

Motif-Video 2B: Technical Report Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:46:08.484924Z

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.

source=pdf_text observed=2026-05-10T15:50:04.001693Z digest=sha256:5867bff50f4b41616c72af19a2dc7a0a688cfe790cf9ba73d81a18e5d80f4db5

Observation bc403795-8b59-4bb6-bcc3-0d419d9e339c · inbound

Motif-Video 2B: Technical Report cites this paper.

Motif-Video 2B: Technical Report Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:13:53.087746Z

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.

source=pdf_text observed=2026-05-21T00:12:23.096146Z digest=sha256:9e2d0d2670ca7dc9be3c208818021390c514662a9b661c186d925b009c3bff58

Observation 1f5f48a8-dede-4fde-940e-3d2829e0620a · inbound

Comparison Drives Preference: Reference-Aware Modeling for AI-Generated Video Quality Assessment cites this paper.

Comparison Drives Preference: Reference-Aware Modeling for AI-Generated Video Quality Assessment Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:31:30.714689Z

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.

source=pdf_text observed=2026-05-10T06:27:43.395596Z digest=sha256:7abe84d66f60cb2984a1da978ad6f2a89309be7c13dda99c2072d82f528e5a5b

Observation 0bfca008-80cb-427b-8d08-30c96902601b · inbound

OmniHuman: A Large-scale Dataset and Benchmark for Human-Centric Video Generation cites this paper.

OmniHuman: A Large-scale Dataset and Benchmark for Human-Centric Video Generation Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T05:20:54.909309Z

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.

source=pdf_text observed=2026-05-10T05:19:49.671136Z digest=sha256:6a7320cb25b7b2ba9d0a6f2f7230a4b74cf74c7c0865f244ea2733dfd64fabac

Observation 0040a947-0b2a-4c2b-a37c-f39403de75b4 · inbound

OmniHuman: A Large-scale Dataset and Benchmark for Human-Centric Video Generation cites this paper.

OmniHuman: A Large-scale Dataset and Benchmark for Human-Centric Video Generation Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

Reference 49

Resolution
metadata mismatch
local_arxiv, observed 2026-07-05T12:41:04.317278Z

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.

source=pdf_text observed=2026-07-05T12:34:41.758238Z digest=sha256:4858fd12371751e371a6d2ad72d47fa419ba7ce306fa3771e4113762b2b8d905

Observation 00c3a030-83e0-454a-b280-8c3345dc4b29 · inbound

HuM-Eval: A Coarse-to-Fine Framework for Human-Centric Video Evaluation cites this paper.

HuM-Eval: A Coarse-to-Fine Framework for Human-Centric Video Evaluation Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:31:15.351997Z

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.

source=pdf_text observed=2026-05-07T16:53:42.069330Z digest=sha256:13a658cf2d730bd95b6c482c29eaa2112f6a9b1360c850085641cb28b5d76fc5

Observation 127a90e3-1400-4727-bcf8-625daa96fc13 · inbound

muSync-GS: Physics-Synchronized Driving Video Synthesis for Weather and Geometric Road Hazards cites this paper.

muSync-GS: Physics-Synchronized Driving Video Synthesis for Weather and Geometric Road Hazards Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T00:34:17.536724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:34:17.536724Z digest=sha256:8ec1b7655578db172c66ef0383d1c66fd37894c532d44f5ab039fca546a559fb