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Paper Citation Record · LEDGER

ESIQA: Perceptual Quality Assessment of Vision-Pro-based Egocentric Spatial Images

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.21363.

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

pith.paper-citation-record.v1
2407.21363 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:07:14.108901Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:21:08.942180Z

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 5296c9d3-fa8f-45ed-a1c1-67bac4b477b9 · inbound

What Makes for a Good Stereoscopic Image? cites this paper.

What Makes for a Good Stereoscopic Image? ESIQA: Perceptual Quality Assessment of Vision-Pro-based Egocentric Spatial Images

Reference 106

Resolution
unresolved
no resolver link, observed 2026-08-10T23:07:14.108901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:14.108901Z digest=sha256:eab6c477f74e2014f3b5f821e95c247ef50a227fe71c9c5a464d5a2b87f3216d

Observation 6fdf826a-7b76-42f5-b08b-8894b6229c5d · 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 ESIQA: Perceptual Quality Assessment of Vision-Pro-based Egocentric Spatial Images

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:21:09.002471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T22:20:13.368441Z digest=sha256:97d789b0d0eea6c507c74dda744f08e8803787975d13f1590b02a9e270a67f42