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Paper Citation Record · LEDGER

A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.10854.

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

pith.paper-citation-record.v1
2403.10854 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:41:58.912622Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:16:14.913508Z

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 92ff1f75-6ec9-45cd-b55a-e7a43df84136 · inbound

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment cites this paper.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:58.912622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:58.912622Z digest=sha256:537df474718dc0fe89ec056bd1a4f8462a3319bad22012296d54bf184bf821ea

Observation bce7349d-12a8-4057-b9ea-ef112e901401 · inbound

E-FreeM2: Efficient Training-Free Multi-Scale and Cross-Modal News Verification via MLLMs cites this paper.

E-FreeM2: Efficient Training-Free Multi-Scale and Cross-Modal News Verification via MLLMs A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T22:43:29.849543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:43:29.849543Z digest=sha256:47a4250d3ea3bab438a9d7d791a8f9da0551d60d7298d0ec3139e6481fb88222

Observation 5319dd5f-5dfd-445e-a78e-4986a547ebfd · inbound

HiRQA: Hierarchical Ranking and Quality Alignment for Opinion-Unaware Image Quality Assessment cites this paper.

HiRQA: Hierarchical Ranking and Quality Alignment for Opinion-Unaware Image Quality Assessment A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-05T18:07:53.511145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:07:53.511145Z digest=sha256:aa1cc445f0ffa183899cb88efaaad6fbd61a8b4660fbe9ce03c614ca82fd5d0c

Observation d5ebee90-74ef-475e-bb10-56018248cbb8 · 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 A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-05T10:55:58.298715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:55:55.514059Z digest=sha256:9f2b1327ff7cfa11d3ff247dd96dc0c9d688e8238ee19d54b087974fb0d86fa2