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Paper Citation Record · LEDGER

Quality Assessment for AI Generated Images with Instruction Tuning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.07346.

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

pith.paper-citation-record.v1
2405.07346 v2

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:16:47.664195Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:21:08.798105Z

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 204bf254-ad1c-4b2e-8113-0dd1d3103e75 · inbound

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models cites this paper.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Quality Assessment for AI Generated Images with Instruction Tuning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:47.664195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:47.664195Z digest=sha256:99dc79881f0963bdf3a4e047343985010971acf18467e9082f1e64a7be60c7fa

Observation 49ffbcf3-9504-45d3-bba6-c230d2fb273b · inbound

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images cites this paper.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Quality Assessment for AI Generated Images with Instruction Tuning

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:21:08.844950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:20:13.437257Z digest=sha256:50c7e26fab480f05313dcf4712faa6d4760bdbf14b19012f153223f90c29f14f