Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
InternVQA: Advancing Compressed Video Quality Assessment with Distilling Large Foundation Model
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.19026.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:16:38.377796Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T11:17:54.814206Z
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 1ee7c559-d39a-48bb-b1c8-23bda3e13c9e · inbound
NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results cites this paper.
NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results InternVQA: Advancing Compressed Video Quality Assessment with Distilling Large Foundation Model
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:16:38.377796Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0afa97aa-f29f-4689-a674-2ba202e809ea · inbound
VQualA 2025 Challenge on Engagement Prediction for Short Videos: Methods and Results cites this paper.
VQualA 2025 Challenge on Engagement Prediction for Short Videos: Methods and Results InternVQA: Advancing Compressed Video Quality Assessment with Distilling Large Foundation Model
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T11:17:54.819315Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.