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Paper Citation Record · LEDGER

A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.14169.

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

pith.paper-citation-record.v1
2306.14169 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:24:14.903939Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:27:56.886562Z

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 bb6bb80d-eeca-4dae-b632-5f246602a02b · inbound

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification cites this paper.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T16:24:14.903939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:24:14.903939Z digest=sha256:b7ab063c2e1bbd6550490ff19e1348edd02117a4d142f96ae409659f31630a29

Observation 158f9a6e-cdba-4595-a30e-8fe69388ead0 · inbound

An empirical study for the early detection of Mpox from skin lesion images using pretrained CNN models leveraging XAI technique cites this paper.

An empirical study for the early detection of Mpox from skin lesion images using pretrained CNN models leveraging XAI technique A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:27:56.889508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:27:56.616773Z digest=sha256:25f7c74f80a972227dbf14ad31bf00426e81e36ec5dddd78216f55a738377e65