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Paper Citation Record · LEDGER

Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.08962.

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

pith.paper-citation-record.v1
2312.08962 v3

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:11:16.484922Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T02:53:29.680549Z

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 228caf1b-b113-4a53-9091-5152388b4f73 · inbound

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing cites this paper.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:16.484922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:16.484922Z digest=sha256:7a881583e1a1ff8e2568b5904d7366b03aae9fb78ae67819cf257ae850f4826e

Observation a48057df-0348-4459-bda5-77f44e674777 · inbound

DistortBench: Benchmarking Vision Language Models on Image Distortion Identification cites this paper.

DistortBench: Benchmarking Vision Language Models on Image Distortion Identification Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-10T02:53:29.681954Z

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=2026-05-10T02:51:07.055728Z digest=sha256:370f1daadb6e448cac22a2b14e286e9e3fa749337a865e10186217f8ed4e9dc5