Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Q-Adapt: Adapting LMM for Visual Quality Assessment with Progressive Instruction Tuning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.01655.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T11:17:54.546855Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T13:34:40.550403Z
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 284aecf8-b25e-4250-9122-593649119f73 · 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 Q-Adapt: Adapting LMM for Visual Quality Assessment with Progressive Instruction Tuning
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:17:54.546855Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74ced107-eef2-42be-bf99-e39ccb347e32 · inbound
Parameter-Efficient Adaptation of mPLUG-Owl2 via Pixel-Level Visual Prompts for NR-IQA cites this paper.
Parameter-Efficient Adaptation of mPLUG-Owl2 via Pixel-Level Visual Prompts for NR-IQA Q-Adapt: Adapting LMM for Visual Quality Assessment with Progressive Instruction Tuning
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:55:56.903384Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82dd4d24-cf0a-4df0-a419-42d301cd1deb · inbound
IQA-Spider: Unifying Multi-Granularity Image Quality Assessment with Reasoning, Grounding and Referring cites this paper.
IQA-Spider: Unifying Multi-Granularity Image Quality Assessment with Reasoning, Grounding and Referring Q-Adapt: Adapting LMM for Visual Quality Assessment with Progressive Instruction Tuning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:34:40.551907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.