Paper Citation Record · LEDGER

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping

As of 18 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2506.18668.

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

pith.paper-citation-record.v1
2506.18668 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:48:55.811403Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

17 of 17 outbound references displayed

verified exact0
verified fuzzy2
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 60f9fd79-ad29-4181-ba5c-b3cebe814598 · outbound

This paper cites A Clinical Benchmark of Public Self-Supervised Pathology Foundation Models.

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping A Clinical Benchmark of Public Self-Supervised Pathology Foundation Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:55.737215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 331d514c-5e52-4d89-bea7-32d6a45650a8 · outbound

This paper cites Nature Medicine30(3), 850–862 (2024).

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping Nature Medicine30(3), 850–862 (2024)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:55.742945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fcf5319-36eb-4e88-9923-5006078121bf · outbound

This paper cites Scientific Data12(1), 1–7 (2025).

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping Scientific Data12(1), 1–7 (2025)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:48:56.166353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7a1b736d-5c21-45ae-aae2-f04822418917 · outbound

This paper cites In: International Con- ference on Learning Representations (2020).

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping In: International Con- ference on Learning Representations (2020)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:55.752190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7657fcce-aa92-4963-abad-00005bd1f4b2 · outbound

This paper cites Nature medicine 29(9), 2307–2316 (2023).

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping Nature medicine 29(9), 2307–2316 (2023)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:55.756713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0627a44-fb6d-4d3c-8aad-cba1b304269f · outbound

This paper cites In: International conference on machine learning.

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping In: International conference on machine learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:55.761862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74a8099e-ac43-489d-a0b3-647d6c2349a0 · outbound

This paper cites Current Pathology Foundation Models are unrobust to Medical Center Differences.

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping Current Pathology Foundation Models are unrobust to Medical Center Differences

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:55.767072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6a8de68-14c9-44f7-86a8-b20a382bb1d9 · outbound

This paper cites Nature Medicine30(3), 863–874 (2024).

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping Nature Medicine30(3), 863–874 (2024)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:55.771782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc13760e-129e-4536-8879-d0a16a44a0c1 · outbound

This paper cites Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation.

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:55.776141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44000bb6-06af-42d1-995d-9874674c7a58 · outbound

This paper cites Journal of machine learning research9(11) (2008).

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping Journal of machine learning research9(11) (2008)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:55.780801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b01ca93-5722-4a2c-ad64-a55320256be8 · outbound

This paper cites Transactions on Machine Learning Research Journal pp.

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping Transactions on Machine Learning Research Journal pp

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:55.785225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e7afdc0-7a45-42e0-b772-ba46d74446e2 · outbound

This paper cites In: International conference on machine learning.

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping In: International conference on machine learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:55.789550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 248a5260-57cc-406b-b722-be939de862a9 · outbound

This paper cites Journal of computational and applied mathematics20, 53–65 (1987).

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping Journal of computational and applied mathematics20, 53–65 (1987)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:55.793680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24dd4761-d2d7-41f9-8014-a5733cc7fe31 · outbound

This paper cites Nature634(8035), 970–978 (2024).

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping Nature634(8035), 970–978 (2024)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:55.798334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52ab7a64-084d-4a55-990a-fd701583b54f · outbound

This paper cites Nature pp.

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping Nature pp

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:48:56.068317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e6f25954-f910-4913-ba5f-f727b37989ba · outbound

This paper cites arXiv preprint arXiv:2412.13126 (2024).

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping arXiv preprint arXiv:2412.13126 (2024)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:55.807127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d188a5bc-7fa2-44e2-823f-2a5ef1c94fde · outbound

This paper cites Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology.

Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:55.811403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.