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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.06152.

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

pith.paper-citation-record.v1
2505.06152 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:18:46.079905Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:18:46.313946Z

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 49f59181-aba5-4486-86a5-4641af924ae8 · inbound

Grounding Multimodal Large Language Models with Quantitative Skin Attributes: A Retrieval Study cites this paper.

Grounding Multimodal Large Language Models with Quantitative Skin Attributes: A Retrieval Study MM-Skin: Enhancing Dermatology Vision-Language Model with an Image-Text Dataset Derived from Textbooks

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:18:46.381344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T15:18:46.079905Z digest=sha256:640284551585548d86702b9041a0118ca4df27e4fed2f22cddcae702af33e480

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

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

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.

source=pdf_text observed=2026-08-03T22:29:28.906992Z digest=sha256:0ad4c2672ecde5a7d5defc20da528132459020763dcd52b0a4be80044dfaee33