Paper Citation Record · LEDGER

Automated Measurement of Eczema Severity with Self-Supervised Learning

As of 23 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2504.15193.

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

pith.paper-citation-record.v1
2504.15193 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:33:35.439802Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

30 of 30 outbound references displayed

verified exact0
verified fuzzy21
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c22ea412-bd3a-4de5-9090-fe400d237d34 · outbound

This paper cites an unresolved cited work.

Automated Measurement of Eczema Severity with Self-Supervised Learning Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:33:37.916825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ff5a1fd8-af94-4b26-9b98-d4f0ed76d54a · outbound

This paper cites Journal of the European Academy of Dermatology and Venereology 29(12), 2417– 2422 (2015).

Automated Measurement of Eczema Severity with Self-Supervised Learning Journal of the European Academy of Dermatology and Venereology 29(12), 2417– 2422 (2015)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:37.810393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cc12395c-daee-41de-a5f2-20262dae3c2d · outbound

This paper cites Deep ViT Features as Dense Visual Descriptors.

Automated Measurement of Eczema Severity with Self-Supervised Learning Deep ViT Features as Dense Visual Descriptors

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:34.922510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e66eb0b8-f280-40e3-a779-658148754fba · outbound

This paper cites Expert Systems with Applications 213, 119230 (2023).

Automated Measurement of Eczema Severity with Self-Supervised Learning Expert Systems with Applications 213, 119230 (2023)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:37.732905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b1acd810-a82a-4464-8d96-a1ecb5cf201f · outbound

This paper cites Advances in neural information processing systems 33, 9912–9924 (2020).

Automated Measurement of Eczema Severity with Self-Supervised Learning Advances in neural information processing systems 33, 9912–9924 (2020)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:37.244613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 04a372e8-4563-4994-8cd9-2fa934b20887 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Automated Measurement of Eczema Severity with Self-Supervised Learning In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:36.875033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0d88aba8-213c-4fe3-b8f8-ebb475c6a448 · outbound

This paper cites In: International conference on machine learning.

Automated Measurement of Eczema Severity with Self-Supervised Learning In: International conference on machine learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:34.941776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47765179-b410-4497-af53-9e0014956e65 · outbound

This paper cites British Journal of Dermatology 160(2), 353–358 (2009).

Automated Measurement of Eczema Severity with Self-Supervised Learning British Journal of Dermatology 160(2), 353–358 (2009)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:36.620970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9d7e5e45-ca0a-4cfd-9e0f-c6bbf242d7bb · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Automated Measurement of Eczema Severity with Self-Supervised Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:34.951483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85a970f8-8cac-44ed-b5c6-16c194f98a3d · outbound

This paper cites Journal of consulting and clinical psychology 63(4), 624 (1995).

Automated Measurement of Eczema Severity with Self-Supervised Learning Journal of consulting and clinical psychology 63(4), 624 (1995)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:36.513201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 815d8bb2-2ad8-432a-95cc-e292482d53c4 · outbound

This paper cites Advances in Data Science and Information Engineering: Proceedings from ICDATA 2020 and IKE 2020 pp.

Automated Measurement of Eczema Severity with Self-Supervised Learning Advances in Data Science and Information Engineering: Proceedings from ICDATA 2020 and IKE 2020 pp

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:36.497633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8cafa993-9cbd-4d70-89ce-ae7e5ab5a977 · outbound

This paper cites In: Machine learning for health workshop.

Automated Measurement of Eczema Severity with Self-Supervised Learning In: Machine learning for health workshop

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:36.446400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a988c914-41d3-40ab-86eb-baf1345e1eaf · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Automated Measurement of Eczema Severity with Self-Supervised Learning In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:35.129222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1057496c-0622-4899-a8a0-5378ec895cfb · outbound

This paper cites British Journal of Medical Psychology 62(3), 241–248 (1989).

Automated Measurement of Eczema Severity with Self-Supervised Learning British Journal of Medical Psychology 62(3), 241–248 (1989)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:36.375331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ffe74ab8-8ce9-4c0b-ba8f-31b0e2386da7 · outbound

This paper cites an unresolved cited work.

Automated Measurement of Eczema Severity with Self-Supervised Learning Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:33:36.360236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 32240ae2-476f-4924-aa24-c92cb935947c · outbound

This paper cites Technologies 9(1), 2 (2020).

Automated Measurement of Eczema Severity with Self-Supervised Learning Technologies 9(1), 2 (2020)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:36.346560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cce013d9-07f8-4c70-9a86-0ba5c3a50cb0 · outbound

This paper cites In: 2020 IEEE 4th International Conference on Image Processing, Applications and Systems (IPAS).

Automated Measurement of Eczema Severity with Self-Supervised Learning In: 2020 IEEE 4th International Conference on Image Processing, Applications and Systems (IPAS)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:36.164928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation edd726fb-1860-4a07-8c51-f573762b4828 · outbound

This paper cites Nature Biomedical Engineering 6(12), 1346– 1352 (2022).

Automated Measurement of Eczema Severity with Self-Supervised Learning Nature Biomedical Engineering 6(12), 1346– 1352 (2022)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:36.094821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6f303a20-94d0-4333-9a7e-09553b5144b1 · outbound

This paper cites In: 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automated Measurement of Eczema Severity with Self-Supervised Learning In: 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:36.080851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b85cc0a2-6c63-4d74-82d8-9cd75a429d3e · outbound

This paper cites nature 521(7553), 436–444 (2015).

Automated Measurement of Eczema Severity with Self-Supervised Learning nature 521(7553), 436–444 (2015)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:35.973769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8d317a17-1a37-49fc-8020-2f2510f223de · outbound

This paper cites IEEE transactions on knowledge and data engineering 35(1), 857–876 (2021).

Automated Measurement of Eczema Severity with Self-Supervised Learning IEEE transactions on knowledge and data engineering 35(1), 857–876 (2021)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:35.958851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a0a320eb-ef75-4508-8b21-c8593fc0e8d8 · outbound

This paper cites In: Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning, pp.

Automated Measurement of Eczema Severity with Self-Supervised Learning In: Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning, pp

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:35.943577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e0948a7c-c653-4699-874c-9545b29374e9 · outbound

This paper cites Augmenting medical image classifiers with synthetic data from latent diffusion models.

Automated Measurement of Eczema Severity with Self-Supervised Learning Augmenting medical image classifiers with synthetic data from latent diffusion models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:35.194002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e0b7fbc-fa53-4d3e-9b11-2cbca463c156 · outbound

This paper cites Current dermatology reports 6, 204–210 (2017).

Automated Measurement of Eczema Severity with Self-Supervised Learning Current dermatology reports 6, 204–210 (2017)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:35.789613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 234173e0-386f-4110-8716-e3b25ceecd39 · outbound

This paper cites In: Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings 10.

Automated Measurement of Eczema Severity with Self-Supervised Learning In: Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings 10

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:35.772499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 499b2f25-5c34-460a-9e34-d29b3ee8fd6d · outbound

This paper cites an unresolved cited work.

Automated Measurement of Eczema Severity with Self-Supervised Learning Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:33:35.673698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f851eb36-3616-4a62-b4e0-bd1a009cf5af · outbound

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

Automated Measurement of Eczema Severity with Self-Supervised Learning In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:35.586448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 752ad630-ad1f-465e-a11e-fe8f907c27b6 · outbound

This paper cites SegGPT: Segmenting Everything In Context.

Automated Measurement of Eczema Severity with Self-Supervised Learning SegGPT: Segmenting Everything In Context

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:35.429912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a10a1ae4-8ecb-4669-acb0-810bb8ca973c · outbound

This paper cites Psychology, health & medicine 12(4), 445–449 (2007).

Automated Measurement of Eczema Severity with Self-Supervised Learning Psychology, health & medicine 12(4), 445–449 (2007)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:35.571806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 22bea5db-c4eb-4667-8829-99ab0b132e95 · outbound

This paper cites Nature Machine Intelligence pp.

Automated Measurement of Eczema Severity with Self-Supervised Learning Nature Machine Intelligence pp

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:35.556719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.