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Paper Citation Record · LEDGER

CLIPVQA:Video Quality Assessment via CLIP

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.04928.

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

pith.paper-citation-record.v1
2407.04928 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:17:19.488113Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T17:27:25.909909Z

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 239a295a-054c-4ffb-9f34-e389661244bb · 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 CLIPVQA:Video Quality Assessment via CLIP

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-08T17:27:25.915733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T17:27:25.853098Z digest=sha256:13bd107b6af978bfa4e3cb3137366a638562eb5faae228137b97d3f8a12e94d2

Observation 130add35-5273-4f7d-b089-2560675006c6 · inbound

Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models cites this paper.

Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models CLIPVQA:Video Quality Assessment via CLIP

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T23:17:19.488113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:17:19.488113Z digest=sha256:78db51482846f510be6af7d4e1b5670ad32444b6808e47cdfc49af7dd32267ce