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Paper Citation Record · LEDGER

A study of deep perceptual metrics for image quality assessment

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.08692.

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

pith.paper-citation-record.v1
2202.08692 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:08:10.518870Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T10:08:11.190711Z

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 88369ad6-6890-4352-a3d0-e93de49dd7ea · inbound

The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation cites this paper.

The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation A study of deep perceptual metrics for image quality assessment

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-08-09T10:08:11.197466Z

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=2026-08-09T10:08:10.518870Z digest=sha256:7088dbe642575855d71080d5d42aafdecadb11fc0ef1071a1eeb8ec695108915

Observation 507a5763-2118-47e9-8247-b83d207ebec1 · inbound

Hi-DREAM: Brain-Inspired Hierarchical Diffusion for fMRI-to-Image Reconstruction via ROI Encoder and VisuAl Mapping cites this paper.

Hi-DREAM: Brain-Inspired Hierarchical Diffusion for fMRI-to-Image Reconstruction via ROI Encoder and VisuAl Mapping A study of deep perceptual metrics for image quality assessment

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T22:15:43.690743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:15:43.690743Z digest=sha256:2938e56cb344baca51734e452b81de31ff1a845e11ffda2c24974caaf4878e83