Paper Citation Record · LEDGER

Foundation Models as Class-Incremental Learners for Dermatological Image Classification

As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2507.14050.

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

pith.paper-citation-record.v1
2507.14050 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:15:11.817076Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:15:51.278533Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:15:51.413643Z

Reference resolution

36 of 36 outbound references displayed

verified exact0
verified fuzzy23
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e744075b-ae25-45e5-9371-1660f5193264 · outbound

This paper cites Medical Image Analysis (2024).

Foundation Models as Class-Incremental Learners for Dermatological Image Classification Medical Image Analysis (2024)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.459136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9e887b48-b3e7-45a7-aaa4-ab6020a025bf · outbound

This paper cites In: Color Medical Image Analysis, pp.

Foundation Models as Class-Incremental Learners for Dermatological Image Classification In: Color Medical Image Analysis, pp

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.441512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9f26716a-9056-4ea9-ba15-356dd70bd9c6 · outbound

This paper cites In: IEEE/CVF CVPR.

Foundation Models as Class-Incremental Learners for Dermatological Image Classification In: IEEE/CVF CVPR

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.422228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation edfeff4e-7ad0-4e99-b002-9c96bd49232e · outbound

This paper cites an unresolved cited work.

Foundation Models as Class-Incremental Learners for Dermatological Image Classification Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:15:12.406148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f6705f50-cc8c-4aac-8d71-ab498ff4e645 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI).

Foundation Models as Class-Incremental Learners for Dermatological Image Classification In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T16:15:08.846342Z

Source-reported events for the cited work

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Observation 6c503a0e-2b55-4f90-a376-c781f8b46db1 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI).

Foundation Models as Class-Incremental Learners for Dermatological Image Classification In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:15:08.969772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e87bc111-4fca-49b2-ade5-44e4f86129c7 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI).

Foundation Models as Class-Incremental Learners for Dermatological Image Classification In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T16:15:09.085275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb24339b-4834-4c93-a192-4b41cf6532cd · outbound

This paper cites In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition.

Foundation Models as Class-Incremental Learners for Dermatological Image Classification In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:15:09.165664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fd28cae-27c7-4ecd-92f2-8d3a8c75611a · outbound

This paper cites IEEE Transactions on Medical Imaging (2024).

Foundation Models as Class-Incremental Learners for Dermatological Image Classification IEEE Transactions on Medical Imaging (2024)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.343608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b5b3dc1d-40dc-4b8b-9724-8940e5dcc887 · outbound

This paper cites In: 2013 IEEE 20th International Confer- ence on Electronics, Circuits, and Systems (ICECS).

Foundation Models as Class-Incremental Learners for Dermatological Image Classification In: 2013 IEEE 20th International Confer- ence on Electronics, Circuits, and Systems (ICECS)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.328304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3e6af5b1-8366-4816-a666-74ad3feb0f8e · outbound

This paper cites In: (MICCAI).

Foundation Models as Class-Incremental Learners for Dermatological Image Classification In: (MICCAI)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.309801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation deb4db61-eef4-4ae5-b086-011be8b47092 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Foundation Models as Class-Incremental Learners for Dermatological Image Classification On the Opportunities and Risks of Foundation Models

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afa8a5a0-b193-417e-b53e-559f3ce86d0b · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

Foundation Models as Class-Incremental Learners for Dermatological Image Classification In: Proceedings of the AAAI conference on artificial intelligence

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.294601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a4194b00-3de6-4c4e-840a-1b4612cb9693 · outbound

This paper cites A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation.

Foundation Models as Class-Incremental Learners for Dermatological Image Classification A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b9c1fe4b-fa0b-49b0-9c2f-d53505e5a67f · outbound

This paper cites an unresolved cited work.

Foundation Models as Class-Incremental Learners for Dermatological Image Classification Unresolved cited work

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f82ca8f-cc71-4748-8500-ca6a8a815ac0 · outbound

This paper cites Computer Methods and Programs in Biomedicine 253, 108231 (2024).

Foundation Models as Class-Incremental Learners for Dermatological Image Classification Computer Methods and Programs in Biomedicine 253, 108231 (2024)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T16:15:09.824851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20b95b45-c097-4608-9bfa-f76b1a61123b · outbound

This paper cites an unresolved cited work.

Foundation Models as Class-Incremental Learners for Dermatological Image Classification Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6b764aab-184d-4165-b851-5fa11264896e · outbound

This paper cites https://developers.google.com/ health-ai-developer-foundations/derm-foundation (2025).

Foundation Models as Class-Incremental Learners for Dermatological Image Classification https://developers.google.com/ health-ai-developer-foundations/derm-foundation (2025)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.242231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5af7119b-04a7-42e8-bdbf-06795cf39e0f · outbound

This paper cites In: NeurIPS (2023).

Foundation Models as Class-Incremental Learners for Dermatological Image Classification In: NeurIPS (2023)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.225285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d0fea9ae-0929-4aeb-8301-3253fdca6f23 · outbound

This paper cites In: CVPR (2023).

Foundation Models as Class-Incremental Learners for Dermatological Image Classification In: CVPR (2023)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.209688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 23456c8a-7cbb-451c-9396-fe95ab25a018 · outbound

This paper cites The IEEE Journal of Biomedical and Health Informatics23(2), 538–546 (2018).

Foundation Models as Class-Incremental Learners for Dermatological Image Classification The IEEE Journal of Biomedical and Health Informatics23(2), 538–546 (2018)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.191994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6f225849-8cd1-4320-9980-6fe5391532a6 · outbound

This paper cites Proceedings of the National Academy of Sciences 114(13), 3521–3526 (2017).

Foundation Models as Class-Incremental Learners for Dermatological Image Classification Proceedings of the National Academy of Sciences 114(13), 3521–3526 (2017)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.173403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9eec4aa0-8438-4bdd-a446-ec6f17a67f6f · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence40(12), 2935–2947 (2017).

Foundation Models as Class-Incremental Learners for Dermatological Image Classification IEEE Transactions on Pattern Analysis and Machine Intelligence40(12), 2935–2947 (2017)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.156301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ed9622cb-990d-4edf-8cf4-3d5c4c4f555c · outbound

This paper cites RanPAC: Random Projections and Pre-trained Models for Continual Learning.

Foundation Models as Class-Incremental Learners for Dermatological Image Classification RanPAC: Random Projections and Pre-trained Models for Continual Learning

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9e580dee-bd45-4062-914b-953f23377ac1 · outbound

This paper cites In: CVPR.

Foundation Models as Class-Incremental Learners for Dermatological Image Classification In: CVPR

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.139320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3f4da701-9025-4f07-a7c3-9f161874bc74 · outbound

This paper cites Psychological Review97(2), 285 (1990).

Foundation Models as Class-Incremental Learners for Dermatological Image Classification Psychological Review97(2), 285 (1990)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.120120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation caca09a3-df4f-4654-866c-74de38eec356 · outbound

This paper cites In: IEEE/CVF CVPR.

Foundation Models as Class-Incremental Learners for Dermatological Image Classification In: IEEE/CVF CVPR

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.105262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c4db2fd0-ae7f-4776-8fae-3da9f5af664f · outbound

This paper cites Scientific data 5(1), 1–9 (2018).

Foundation Models as Class-Incremental Learners for Dermatological Image Classification Scientific data 5(1), 1–9 (2018)

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c4ab4e4-0cf9-485d-8468-b55e7ec36cfd · outbound

This paper cites Nature communications11(1), 1–14 (2020).

Foundation Models as Class-Incremental Learners for Dermatological Image Classification Nature communications11(1), 1–14 (2020)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.077516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ade4d4a6-ab18-4978-a5f9-df1b9dd37ca7 · outbound

This paper cites In: ECCV.

Foundation Models as Class-Incremental Learners for Dermatological Image Classification In: ECCV

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.059401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2006a654-4b70-4171-9402-25b0807f25fb · outbound

This paper cites In: IEEE/CVF CVPR.

Foundation Models as Class-Incremental Learners for Dermatological Image Classification In: IEEE/CVF CVPR

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.037221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 45158590-25ab-43f9-aaf8-9ac1e818cc22 · outbound

This paper cites Signal Processing (2024).

Foundation Models as Class-Incremental Learners for Dermatological Image Classification Signal Processing (2024)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:12.018980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 055f7ead-9eb4-4804-8558-121c4870c13e · outbound

This paper cites A Multimodal Vision Foundation Model for Clinical Dermatology.

Foundation Models as Class-Incremental Learners for Dermatological Image Classification A Multimodal Vision Foundation Model for Clinical Dermatology

Reference 33

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Source-reported events for the cited work

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Observation 0db064af-a5b8-40bf-b997-32353d81da13 · outbound

This paper cites Visual Intelli- gence 1(1), 5 (2023).

Foundation Models as Class-Incremental Learners for Dermatological Image Classification Visual Intelli- gence 1(1), 5 (2023)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:11.998799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fe684d65-a917-4759-8b41-5f8da7dbef14 · outbound

This paper cites In: MICCAI.

Foundation Models as Class-Incremental Learners for Dermatological Image Classification In: MICCAI

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:11.982962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b9e16acf-792f-4c8c-9c25-4458b21735a4 · outbound

This paper cites In: MICCAI.

Foundation Models as Class-Incremental Learners for Dermatological Image Classification In: MICCAI

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:15:11.965592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation a5376633-da7a-4a0b-a425-454b0150ed5f · inbound

LesionGen: A Concept-Guided Diffusion Model for Dermatology Image Synthesis cites this paper.

LesionGen: A Concept-Guided Diffusion Model for Dermatology Image Synthesis Foundation Models as Class-Incremental Learners for Dermatological Image Classification

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T11:15:51.420675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.