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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:09:34.126453Z

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 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:e211864513530b34177fa743590c8b037cd5ac14f0e10efddd085ab970fa3636

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:ae914976fa2643d3fea3425f8cc096dad9a2cd34d844da2b6a3f31d8026c68a7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T08:32:16.532299Z digest=sha256:abd8c7c85094eb934eb67d90edcd4e8008f5c1b56022c3be7386146b3f13db47

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:50:04.001693Z digest=sha256:3213825685422c3ca799a83d43160ee56212b68c6f9ea2496de829dee555b7bb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T00:12:23.096146Z digest=sha256:1acc9692eed8abc6bf4332cf55d12d9fa0a40a3999b73626cd9119b8386f8753

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T06:27:43.395596Z digest=sha256:c94fe17632aa0aa1971b6088f6ff8ce1753c65d4cb2c6f2efc1b04b0011a7ed0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T05:19:49.671136Z digest=sha256:2f3bbdd0ea02ab70f423a8368d4fa263abba5abdf4f15d8e98ebbd1a134ad96b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-05T12:34:41.758238Z digest=sha256:78a560478da953288af34e22a47a3ec728f55e097efd98257f0c5184baa807e1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T16:53:42.069330Z digest=sha256:1b9400ed4c90ada5089af2cb942604b9cc477949a387fc43ab3543baa5c21658

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=sha256:782b368acfdb01719da61c01fbaef16d123b757f734cbc75869ed4cdfdd2578a