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Paper Citation Record · LEDGER

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets

As of 10 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2502.00196.

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

pith.paper-citation-record.v1
2502.00196 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:54:00.846318Z

measured 18 of 18 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

18 of 18 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 47ba3840-7375-43de-92e5-bb4e75316526 · outbound

This paper cites Instruction Tuning with GPT-4.

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets Instruction Tuning with GPT-4

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T19:54:00.784015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:54:00.784015Z digest=sha256:0d410d821391b017caf057b53c4c33dac9bc977ee0012ccd2cabe70ca55b76cc

Observation c57f82cd-6285-4142-9194-861a18f67a70 · outbound

This paper cites Visual instruction tuning.

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets Visual instruction tuning

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:54:01.047429Z

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=2026-08-09T19:54:00.789135Z digest=sha256:204fbd8233d17b94f986dc5032acbe8df562dbccf75d4693d1ca80c0f0905b3d

Observation 037ad651-04f0-4286-bf67-3db7181efdbf · outbound

This paper cites Improved baselines with visual instruction tuning.

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets Improved baselines with visual instruction tuning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T19:54:00.792807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:54:00.792807Z digest=sha256:6d952e3b893543f23355e27902aedfaed12ae008d61e92480add080bb4d5624b

Observation 6c6ded7a-e890-4608-832b-76cbfad9a698 · outbound

This paper cites Pmc-llama: toward building open-source language models for medicine.

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets Pmc-llama: toward building open-source language models for medicine

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:54:01.030754Z

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=2026-08-09T19:54:00.796660Z digest=sha256:0645c9e1663c63b46bdd0bf936307c4dc517c0551d72e54d0d6c74dbb04d7c31

Observation f2885a3c-dc46-4d74-9207-5285332c580c · outbound

This paper cites MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data.

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T19:54:00.800970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:54:00.800970Z digest=sha256:6c2ca46b817fb052968bb9d4d579c087c06371ea0e72009914661b3460913483

Observation 1721a2ac-95e3-45b6-ba6b-3faa32b1ff30 · outbound

This paper cites Visual med-alpaca: A parameter-efficient biomedical llm with visual capabilities, 2023.

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets Visual med-alpaca: A parameter-efficient biomedical llm with visual capabilities, 2023

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:54:01.019832Z

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=2026-08-09T19:54:00.805144Z digest=sha256:7e3ccca9e333bfcadc7c1a12faf29ac47eebfa7d74be6ded2bc718a6603db578

Observation a0578556-a073-46ce-97fc-c395c52f11c3 · outbound

This paper cites Llava-med: Training a large language-and-vision assistant for biomedicine in one day.

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets Llava-med: Training a large language-and-vision assistant for biomedicine in one day

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:54:01.009511Z

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=2026-08-09T19:54:00.809096Z digest=sha256:2f8018b2d5bf4e75157a9f7110e527408229d49f84dc095a72368972132d9c7c

Observation 6cd85c79-e632-44e8-9a2b-b4cf0588c4c1 · outbound

This paper cites Hashimoto.

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets Hashimoto

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:54:00.998730Z

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=2026-08-09T19:54:00.812652Z digest=sha256:fee6f6974f3bc3e665db5c656256459bd36d2b1ac1087150baaeaf43acf8c7ad

Observation c09816d0-801f-4fdc-88a1-17457c913bcf · outbound

This paper cites Smith, Daniel Khashabi, and Hannaneh Hajishirzi.

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets Smith, Daniel Khashabi, and Hannaneh Hajishirzi

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:54:00.988142Z

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=2026-08-09T19:54:00.815963Z digest=sha256:78628f95c2df64ddf8545950f027cd1239b9841108f135b0bb3bd2fed5864ed7

Observation 65e01556-67a5-49d2-ae2a-774a26dc8a19 · outbound

This paper cites Created in biorender.

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets Created in biorender

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:54:00.977745Z

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=2026-08-09T19:54:00.819387Z digest=sha256:f9cd797651f48a2bc43d191066a8321951aad961302a2361ec694331f3cc629d

Observation a6572d46-b80a-48e8-965e-87eb068d9de9 · outbound

This paper cites Derm12345: A large, multisource dermatoscopic skin lesion dataset with 40 subclasses.

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets Derm12345: A large, multisource dermatoscopic skin lesion dataset with 40 subclasses

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:54:00.967065Z

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=2026-08-09T19:54:00.822676Z digest=sha256:574b76196c6d11ed9d93baa5492b68522db20db9948ad23c5a6296e14d649fe2

Observation e9dac962-9565-4cb8-815c-5f8e989334a0 · outbound

This paper cites Bcn20000: Dermoscopic lesions in the wild.

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets Bcn20000: Dermoscopic lesions in the wild

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:54:00.956338Z

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=2026-08-09T19:54:00.825993Z digest=sha256:14a200bdd045f3a221f56fa7df3da555a747172f67effbb8a9e69326ea1c801e

Observation f3ab1981-cb96-4cac-95ee-e79f34ddfb86 · outbound

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

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets Pad-ufes-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:54:00.946158Z

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=2026-08-09T19:54:00.829405Z digest=sha256:d013236bdf04774acb7aaa7c0c8cd356984bd62179ba32db79cd9e89893718ba

Observation 43d1ba01-85b4-4781-9791-e854bd7c45c8 · outbound

This paper cites Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset.

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-09T19:54:00.832655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:54:00.832655Z digest=sha256:df3607e227c4b80adc8e484c7051f6383e9e8f0160aadea9e7a3342c38bac9bd

Observation 5f3667df-dd91-4a65-b858-dfb3c1624877 · outbound

This paper cites A dataset of skin lesion images collected in argentina for the evaluation of ai tools in this population.

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets A dataset of skin lesion images collected in argentina for the evaluation of ai tools in this population

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:54:00.935527Z

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=2026-08-09T19:54:00.836368Z digest=sha256:e1a0eea4f830fc740cf308fd844d68983ae64956927dc6cbc24fbb65202ba3ba

Observation 7df083d7-9a9f-4a8a-8ba0-c3712584a0e4 · outbound

This paper cites Exploring the role of large language models in melanoma: A systematic review.

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets Exploring the role of large language models in melanoma: A systematic review

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:54:00.924936Z

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=2026-08-09T19:54:00.839640Z digest=sha256:0654bc2ddb9f4effd441498c4f20830bfd5a03f0ab8ef4f835e6ce1d135c2a54

Observation 8acdd179-f33d-401a-aa23-e6997d01566b · outbound

This paper cites MpoxVLM: A Vision-Language Model for Diagnosing Skin Lesions from Mpox Virus Infection.

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets MpoxVLM: A Vision-Language Model for Diagnosing Skin Lesions from Mpox Virus Infection

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T19:54:00.842933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:54:00.842933Z digest=sha256:b497d00fc600d1fba77b66c2b53d025b7c620865b7414cc089d73220b88def8f

Observation 7e02b7fc-743c-4353-8e9c-a02a1c229572 · outbound

This paper cites What is this image.

DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets What is this image

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:54:00.914011Z

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=2026-08-09T19:54:00.846318Z digest=sha256:9e397d08307f06116745f5375f80857030e96d6d1c242773356d3a578f321443

Pith citing papers

No inbound Pith citation observations are available.