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Paper Citation Record · LEDGER

VQA$^2$: Visual Question Answering for Video Quality Assessment

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.03795.

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

pith.paper-citation-record.v1
2411.03795 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:07.103946Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T16:11:45.628727Z

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 e19e4cbc-8f26-4cde-b964-53817a47339c · inbound

Generalizable Video Quality Assessment via Weak-to-Strong Learning cites this paper.

Generalizable Video Quality Assessment via Weak-to-Strong Learning VQA$^2$: Visual Question Answering for Video Quality Assessment

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-22T16:11:45.631983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T16:10:32.702472Z digest=sha256:b4bcada5f1a53c0ece9a2156e980f171039fbfe5d0548135a5eb9e6426296b1a

Observation 3bd33410-3cb3-413d-8619-846df12cfd6e · inbound

Scaling-up Perceptual Video Quality Assessment cites this paper.

Scaling-up Perceptual Video Quality Assessment VQA$^2$: Visual Question Answering for Video Quality Assessment

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T13:12:07.103946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:12:07.103946Z digest=sha256:dd2bd51d6e9a76c850577c2d8600ae230dc115664a2c97a4efa5043da6d87691

Observation 7a2f419a-51e4-492a-b327-16ce279e1381 · inbound

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model cites this paper.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model VQA$^2$: Visual Question Answering for Video Quality Assessment

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T10:40:44.175524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:40:44.175524Z digest=sha256:9b91852aaa9835143362689dc9be299f117b1fe0f71315ae8817e1b584a72a9a

Observation 2e0a3370-f3ec-4442-92b0-407afffc59d6 · inbound

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning cites this paper.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning VQA$^2$: Visual Question Answering for Video Quality Assessment

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:47.541955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:47.541955Z digest=sha256:84856a96dd9ee7ea18da48546a3264095c9ef49f33e321dab6b1135caee6b640

Observation 0f456be1-fa20-478b-b458-a2c9030aa17d · inbound

Engagement Prediction of Short Videos with Large Multimodal Models cites this paper.

Engagement Prediction of Short Videos with Large Multimodal Models VQA$^2$: Visual Question Answering for Video Quality Assessment

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T05:00:15.858633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:00:15.858633Z digest=sha256:4a558466e09144e319ff8ba78de84f9ab712cfac25b3956b740cab1fa57013df