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Paper Citation Record · LEDGER

Q-Ground: Image Quality Grounding with Large Multi-modality Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.17035.

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

pith.paper-citation-record.v1
2407.17035 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:59:43.307285Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:56:28.097929Z

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 2fee339c-ea6b-4547-bfb9-936927f780b8 · inbound

SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction Tuning cites this paper.

SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction Tuning Q-Ground: Image Quality Grounding with Large Multi-modality Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T19:59:43.307285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:59:43.307285Z digest=sha256:2caa77c15c5d718e585b231af752b4df0b95aa797a9385a89bfcb1713077dd47

Observation cd085cc3-b78d-43fd-a115-ea6640949eb7 · inbound

IPAD-CLIP: Teaching CLIP to Detect Image Local Perceptual Artifacts cites this paper.

IPAD-CLIP: Teaching CLIP to Detect Image Local Perceptual Artifacts Q-Ground: Image Quality Grounding with Large Multi-modality Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:56:28.101382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T01:29:17.126354Z digest=sha256:d207a0987c45557ceba81a49722f5c1503cb88ff9955a6de600e135d97bca2a0