Paper Citation Record · LEDGER

Melanoma Detection with Uncertainty Quantification

As of 21 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2411.10322.

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

pith.paper-citation-record.v1
2411.10322 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:47:55.940678Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:47:55.794237Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T19:47:56.160515Z

Reference resolution

32 of 32 outbound references displayed

verified exact2
verified fuzzy20
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54a8f766-cca1-4845-8873-3d3cbe64e789 · outbound

This paper cites Deep Neural Networks (DNNs) are effective in melanoma detection, but their evaluation lacks standardization, complicating comparisons.

Melanoma Detection with Uncertainty Quantification Deep Neural Networks (DNNs) are effective in melanoma detection, but their evaluation lacks standardization, complicating comparisons

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.565919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3dc9420b-1036-4cbe-8484-1a5ead62f54d · outbound

This paper cites Melanoma Detection with Uncertainty Quantification.

Melanoma Detection with Uncertainty Quantification Melanoma Detection with Uncertainty Quantification

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-12T19:47:56.166524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 03ee532b-2a69-4d03-953f-bd7250b86b6d · outbound

This paper cites Melanoma.

Melanoma Detection with Uncertainty Quantification Melanoma

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.552827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0b3a5bae-8b6e-4663-be04-97a8b17decd5 · outbound

This paper cites ) * ' " ) * % '.

Melanoma Detection with Uncertainty Quantification ) * ' " ) * % '

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-12T19:47:56.130609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 60e30b41-42ef-4bb5-96c8-eea16db60e11 · outbound

This paper cites Future plans include collecting real-time diagnosis data from dermatologists and using Generative Adversarial Networks (GAN) for iterative retraining.

Melanoma Detection with Uncertainty Quantification Future plans include collecting real-time diagnosis data from dermatologists and using Generative Adversarial Networks (GAN) for iterative retraining

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.540780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9ce0e548-5a50-4eba-9a8f-d77ad340bb87 · outbound

This paper cites Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of DLA or ARPA-H.

Melanoma Detection with Uncertainty Quantification Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of DLA or ARPA-H

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.526308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f5e7ffd7-ba0f-4286-845b-6e742ccd51f2 · outbound

This paper cites an unresolved cited work.

Melanoma Detection with Uncertainty Quantification Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:47:56.511766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4c588853-0bf7-425b-922e-e366dcc2fba8 · outbound

This paper cites Melanoma,.

Melanoma Detection with Uncertainty Quantification Melanoma,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.494255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3d8d46ad-847c-4866-b325-c7cb1711b5ee · outbound

This paper cites Hy- brid fully convolutional networks-based skin lesion seg- mentation and melanoma detection using deep feature,.

Melanoma Detection with Uncertainty Quantification Hy- brid fully convolutional networks-based skin lesion seg- mentation and melanoma detection using deep feature,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.479881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 21242156-f3ca-4908-b2cc-2618e12a7b47 · outbound

This paper cites Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC).

Melanoma Detection with Uncertainty Quantification Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T19:47:55.831057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01b44b11-4f42-49c2-957e-fa5573b8f048 · outbound

This paper cites IEEE, 2018, pp.

Melanoma Detection with Uncertainty Quantification IEEE, 2018, pp

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.465030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6629a760-6bd7-469d-9823-8c1f5bb1983f · outbound

This paper cites A new approach for classifica- tion skin lesion based on transfer learning, deep learn- ing, and iot system,.

Melanoma Detection with Uncertainty Quantification A new approach for classifica- tion skin lesion based on transfer learning, deep learn- ing, and iot system,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.448719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b669341-9fb6-464a-a50f-ef91b5b074a3 · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).

Melanoma Detection with Uncertainty Quantification Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T19:47:55.845120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 853ddba2-4825-420b-bbf8-d0a4564902a0 · outbound

This paper cites Comparative study of deep learning models in melanoma detection,.

Melanoma Detection with Uncertainty Quantification Comparative study of deep learning models in melanoma detection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.433150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3c4f6396-a636-4c34-b5bd-771799264fc2 · outbound

This paper cites On calibration of modern neural networks,.

Melanoma Detection with Uncertainty Quantification On calibration of modern neural networks,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T19:47:55.855560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c098803-3a17-4de9-a8c8-9d32b9ac8c78 · outbound

This paper cites Verification of forecasts expressed in terms of probability,.

Melanoma Detection with Uncertainty Quantification Verification of forecasts expressed in terms of probability,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.402705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fdeb30e7-ff69-43a9-8aa3-e7893ad8f89b · outbound

This paper cites Shannon entropy as a measure of un- certainty in positions and momenta,.

Melanoma Detection with Uncertainty Quantification Shannon entropy as a measure of un- certainty in positions and momenta,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.383994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e596c035-50e6-4ef0-ab3b-331ba3540d3f · outbound

This paper cites End- to-end learning of brain tissue segmentation from imper- fect labeling,.

Melanoma Detection with Uncertainty Quantification End- to-end learning of brain tissue segmentation from imper- fect labeling,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.369056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b8a15c0e-6fb9-4bfe-bcc7-7f2dfdbcde11 · outbound

This paper cites BCN20000: Dermoscopic Lesions in the Wild.

Melanoma Detection with Uncertainty Quantification BCN20000: Dermoscopic Lesions in the Wild

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T19:47:55.875640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63d3b1a1-a08a-489b-bf25-f514a8919da0 · outbound

This paper cites A patient-centric dataset of images and metadata for identifying melanomas using clinical context,.

Melanoma Detection with Uncertainty Quantification A patient-centric dataset of images and metadata for identifying melanomas using clinical context,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.351362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 63d94a70-d8d0-4f86-809d-ec944d8b948a · outbound

This paper cites Ph 2-a der- moscopic image database for research and benchmark- ing,.

Melanoma Detection with Uncertainty Quantification Ph 2-a der- moscopic image database for research and benchmark- ing,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.336053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1a471216-ea1b-4922-9576-70f1c516ea96 · outbound

This paper cites Seven-point check- list and skin lesion classification using multitask mul- timodal neural nets,.

Melanoma Detection with Uncertainty Quantification Seven-point check- list and skin lesion classification using multitask mul- timodal neural nets,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.319128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a65bd8f4-f892-4e75-9c43-af6a380f4ff2 · outbound

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

Melanoma Detection with Uncertainty Quantification Pad-ufes-20: A skin lesion dataset composed of patient data and clinical im- ages collected from smartphones,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.299988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 21b96b30-914c-4ad0-b273-2405a68287f4 · outbound

This paper cites Med- node: A computer-assisted melanoma diagnosis system using non-dermoscopic images,.

Melanoma Detection with Uncertainty Quantification Med- node: A computer-assisted melanoma diagnosis system using non-dermoscopic images,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.285373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0c4f3978-6e20-4fc2-8387-a4676822960b · outbound

This paper cites Skin cancer: Malignant vs. benign,.

Melanoma Detection with Uncertainty Quantification Skin cancer: Malignant vs. benign,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.269604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 328ad78b-a01d-4665-9e11-86af76f68208 · outbound

This paper cites Densely connected convolu- tional networks,.

Melanoma Detection with Uncertainty Quantification Densely connected convolu- tional networks,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T19:47:55.910747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 069974b8-663e-444b-9a2c-35785f0b0da4 · outbound

This paper cites Deep residual learning for image recognition,.

Melanoma Detection with Uncertainty Quantification Deep residual learning for image recognition,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T19:47:55.915749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 976190bc-b373-4b40-9b26-a6c840c11bf5 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Melanoma Detection with Uncertainty Quantification Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T19:47:55.920282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4975cc67-8da6-45c3-b855-8cc960693cbf · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks,.

Melanoma Detection with Uncertainty Quantification Efficientnet: Rethinking model scaling for convolutional neural networks,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T19:47:55.925765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2533ac2-9f64-45e4-bd42-79bd617cc4d2 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Melanoma Detection with Uncertainty Quantification Imagenet: A large-scale hierarchical image database,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T19:47:55.930721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ee17c89-6013-4d97-95b8-2be6317213b1 · outbound

This paper cites Large-scale machine learning with stochastic gradient descent,.

Melanoma Detection with Uncertainty Quantification Large-scale machine learning with stochastic gradient descent,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.198274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 232031d3-a92e-4cb4-abab-393e5b8dd72f · outbound

This paper cites Siim-isic melanoma classification,.

Melanoma Detection with Uncertainty Quantification Siim-isic melanoma classification,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:47:56.183185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 3dc9420b-1036-4cbe-8484-1a5ead62f54d · inbound