Paper Citation Record · LEDGER

DermAI: Clinical dermatology acquisition through quality-driven image collection for AI classification in mobile

As of 10 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2511.10367.

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

pith.paper-citation-record.v1
2511.10367 v2

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:29:29.235012Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

8 of 8 outbound references displayed

verified exact0
verified fuzzy0
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c601a97f-c343-4956-a90f-1f92ba746232 · outbound

This paper cites A survey, review, and future trends of skin lesion seg- mentation and classification,.

DermAI: Clinical dermatology acquisition through quality-driven image collection for AI classification in mobile A survey, review, and future trends of skin lesion seg- mentation and classification,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T22:29:28.809057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ba8ef5b-357b-4238-9b56-fd2b0c14ede0 · outbound

This paper cites A multimodal vision foundation model for clinical dermatology,.

DermAI: Clinical dermatology acquisition through quality-driven image collection for AI classification in mobile A multimodal vision foundation model for clinical dermatology,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T22:29:28.863032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d454d5d9-3f3d-4345-9716-5785bc99f1a6 · outbound

This paper cites MM-Skin: Enhancing Dermatology Vision-Language Model with an Image-Text Dataset Derived from Textbooks.

DermAI: Clinical dermatology acquisition through quality-driven image collection for AI classification in mobile MM-Skin: Enhancing Dermatology Vision-Language Model with an Image-Text Dataset Derived from Textbooks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T22:29:28.906992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4467dcde-a8d7-495c-bbe8-b1919087818e · outbound

This paper cites Disparities in dermatology AI per- formance on a diverse, curated clinical image set,.

DermAI: Clinical dermatology acquisition through quality-driven image collection for AI classification in mobile Disparities in dermatology AI per- formance on a diverse, curated clinical image set,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T22:29:28.971147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5631d2a-1f64-4956-add2-49cc847a0aee · outbound

This paper cites PAD-UFES-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones,.

DermAI: Clinical dermatology acquisition through quality-driven image collection for AI classification in mobile PAD-UFES-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T22:29:29.038568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc6c5c5f-c9a6-40db-b891-eec832b6803d · outbound

This paper cites The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions,.

DermAI: Clinical dermatology acquisition through quality-driven image collection for AI classification in mobile The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T22:29:29.111254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcfc538a-af18-43d1-86dc-c9b76f19e60a · outbound

This paper cites Lack of transparency and potential bias in artificial intelligence data sets and algorithms: A scoping review,.

DermAI: Clinical dermatology acquisition through quality-driven image collection for AI classification in mobile Lack of transparency and potential bias in artificial intelligence data sets and algorithms: A scoping review,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T22:29:29.161784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8920dc7b-6530-489a-98ca-759619a11bc2 · outbound

This paper cites How medical ai devices are evaluated: Limitations and recommendations from an analysis of fda approvals,.

DermAI: Clinical dermatology acquisition through quality-driven image collection for AI classification in mobile How medical ai devices are evaluated: Limitations and recommendations from an analysis of fda approvals,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T22:29:29.235012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.