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Paper Citation Record · LEDGER

Evidential Federated Learning for Skin Lesion Image Classification

As of 23 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2411.10071.

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

pith.paper-citation-record.v1
2411.10071 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:05:05.728360Z

measured 22 of 22 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:38:30.129473Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T00:15:52.039361Z

Reference resolution

21 of 21 outbound references displayed

  • verified exact2
  • verified fuzzy8
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e66875cc-4c38-44db-90a1-ef9adbd9ab7a · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Evidential Federated Learning for Skin Lesion Image Classification Communication-efficient learning of deep networks from decentralized data

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:05:05.927881Z

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.

source=arxiv_source observed=2026-08-12T20:05:05.661910Z digest=sha256:ed1ef579c3950c4b052191ed7addf35b52003ebd84a53880a0d0698260ac364a

Observation 3841b6df-580f-4203-a845-e7c83561d3f8 · outbound

This paper cites Federated optimization in heterogeneous networks.

Evidential Federated Learning for Skin Lesion Image Classification Federated optimization in heterogeneous networks

Reference 2

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no resolver link, observed 2026-08-12T20:05:05.665888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:05:05.665888Z digest=sha256:0011492b8f839b2c99ac3cbc1fc132541d2e4e44d3819331684e58fffe393d08

Observation e7b90ac3-8e66-4dd4-8ff3-88c114985366 · outbound

This paper cites Evidential deep learning to quantify classification uncertainty.

Evidential Federated Learning for Skin Lesion Image Classification Evidential deep learning to quantify classification uncertainty

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-12T20:05:05.912990Z

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.

source=arxiv_source observed=2026-08-12T20:05:05.669156Z digest=sha256:dc5884cd5f82828e45ec92e6f19536dd23dda09bee29a6dd33c1c844c1912d3d

Observation 1699d8c4-58a4-4c93-b5f5-324918eea85b · outbound

This paper cites Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging.

Evidential Federated Learning for Skin Lesion Image Classification Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-12T20:05:05.809017Z

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.

source=arxiv_source observed=2026-08-12T20:05:05.672629Z digest=sha256:a21334b5765a2c93277eb5b4f4c1501c62aa883fbe84142e259376885e9f6f3b

Observation f6f22a7a-9bb6-406b-a18a-dc26c170e54c · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Evidential Federated Learning for Skin Lesion Image Classification Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 5

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unresolved
no resolver link, observed 2026-08-12T20:05:05.676600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:05:05.676600Z digest=sha256:e1c14e8b1b0f60b3fe8a9f288c28cbc2d2bdad21ca5725c062d4ae7decba2bd2

Observation 2109d361-5edb-4a22-8ca7-75a6da33a50c · outbound

This paper cites Visual Prompt Based Personalized Federated Learning.

Evidential Federated Learning for Skin Lesion Image Classification Visual Prompt Based Personalized Federated Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T20:05:05.680407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:05:05.680407Z digest=sha256:9ba62255ee136a2149b174a35f6c46fd08c8bfec7692921162511039fdfbaaab

Observation c3994e08-8eac-49d7-a8b2-32218ddfcde4 · outbound

This paper cites 3D-U-SAM Network For Few-shot Tooth Segmentation in CBCT Images.

Evidential Federated Learning for Skin Lesion Image Classification 3D-U-SAM Network For Few-shot Tooth Segmentation in CBCT Images

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-12T20:05:05.779416Z

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.

source=arxiv_source observed=2026-08-12T20:05:05.684236Z digest=sha256:7caf679b91cfdbe4dbfb2f44e3573ed76087afe6c501ef563f7a88be1b2af7d6

Observation f8b54f63-2068-45b0-a5f5-f47b22705e78 · outbound

This paper cites Inverting gradients-how easy is it to break privacy in federated learning? Advances in Neural Information Processing Systems, 33: 0 16937--16947, 2020.

Evidential Federated Learning for Skin Lesion Image Classification Inverting gradients-how easy is it to break privacy in federated learning? Advances in Neural Information Processing Systems, 33: 0 16937--16947, 2020

Reference 8

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unresolved
no resolver link, observed 2026-08-12T20:05:05.687346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:05:05.687346Z digest=sha256:88ef7c9100fd5639171dcfbc5baf25298fddf27e609dabd7f32e78f3f0e55f34

Observation 17aab9c7-4d2b-4a88-a27d-bf8ddea4b167 · outbound

This paper cites Deep leakage from gradients.

Evidential Federated Learning for Skin Lesion Image Classification Deep leakage from gradients

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T20:05:05.690464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:05:05.690464Z digest=sha256:490de716b44dd1d06323d90040798f6c52ffeb4bd3c8fc3c543bca00096bc378

Observation d7f9b332-2130-4266-a60f-271893c00dcd · outbound

This paper cites Feder: Federated learning through experience replay and privacy-preserving data synthesis.

Evidential Federated Learning for Skin Lesion Image Classification Feder: Federated learning through experience replay and privacy-preserving data synthesis

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:05:05.890986Z

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.

source=arxiv_source observed=2026-08-12T20:05:05.693294Z digest=sha256:27f3ab02f2742140f3048f765b6c5d52a072e36d97e78984d4c66c30c0683451

Observation 075c4d22-bb1a-4bed-a8d1-eb1e6c55f9c4 · outbound

This paper cites Federated knowledge distillation.

Evidential Federated Learning for Skin Lesion Image Classification Federated knowledge distillation

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-12T20:05:05.880009Z

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.

source=arxiv_source observed=2026-08-12T20:05:05.696455Z digest=sha256:b75fee924c87cd69d82240986545e48598952e6b68057333dea94bac87aac56c

Observation e30636e7-a3ce-4d42-b46e-505d7bddfe88 · outbound

This paper cites Fedproto: Federated prototype learning across heterogeneous clients.

Evidential Federated Learning for Skin Lesion Image Classification Fedproto: Federated prototype learning across heterogeneous clients

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:05:05.870690Z

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.

source=arxiv_source observed=2026-08-12T20:05:05.700345Z digest=sha256:6312ee0f9350b125dd866bce0d710129f6cd5922d9cea540b77f192e82dccc90

Observation 9d790472-5734-46d1-9af7-cb6c71dcc069 · outbound

This paper cites Evaluation of uncertainty quantification in deep learning.

Evidential Federated Learning for Skin Lesion Image Classification Evaluation of uncertainty quantification in deep learning

Reference 13

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unresolved
no resolver link, observed 2026-08-12T20:05:05.703770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:05:05.703770Z digest=sha256:9ce174429abbd39f5291953c0346c7efa160b1366f31e3daf1ca1eaf17672320

Observation c520719f-893b-4231-8bdf-a6b20fc38f8b · outbound

This paper cites Evidential deep learning to quantify classification uncertainty.

Evidential Federated Learning for Skin Lesion Image Classification Evidential deep learning to quantify classification uncertainty

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:05:05.855441Z

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.

source=arxiv_source observed=2026-08-12T20:05:05.706912Z digest=sha256:20c9ad60bdfd2e6794eca6fbab4443320c0e9452815b98d5917ca3ed5ab9bc47

Observation 80cf2a3a-827e-437f-9ae5-3da03bc78516 · outbound

This paper cites Quantifying Attention Flow in Transformers.

Evidential Federated Learning for Skin Lesion Image Classification Quantifying Attention Flow in Transformers

Reference 15

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unresolved
no resolver link, observed 2026-08-12T20:05:05.710182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:05:05.710182Z digest=sha256:0289fc37a8f12e366b8277b74e2054418cc3ea8b96ab81a4293d2e0bbc51a763

Observation 503298b5-aa8d-4ecc-a075-54dcc81be353 · outbound

This paper cites an unresolved cited work.

Evidential Federated Learning for Skin Lesion Image Classification Unresolved cited work

Reference 16

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unresolved
no resolver link, observed 2026-08-12T20:05:05.713363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:05:05.713363Z digest=sha256:8599ac7d8104ee61ea8308cd7eaa8edb71df549d1ec46facab4dd105e55ee2ad

Observation debdd611-037d-4f0c-8b91-77e13a76a5e2 · outbound

This paper cites an unresolved cited work.

Evidential Federated Learning for Skin Lesion Image Classification Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:05:05.845277Z

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.

source=arxiv_source observed=2026-08-12T20:05:05.716429Z digest=sha256:637771b4f04fd80fcc4240f059c31c394b0676ae02e8655f4ae8cab8c0ae9763

Observation 543157bd-3400-4e62-ba61-785455ab5b3d · outbound

This paper cites an unresolved cited work.

Evidential Federated Learning for Skin Lesion Image Classification Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:05:05.836689Z

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.

source=arxiv_source observed=2026-08-12T20:05:05.719046Z digest=sha256:13e8059aad377e4b04a33f87630df2585d7ec21a266971832ba3a294400096a7

Observation 44a8b2f4-af39-444e-b085-050873ac1b3e · outbound

This paper cites The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions.

Evidential Federated Learning for Skin Lesion Image Classification The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:05:05.827670Z

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.

source=arxiv_source observed=2026-08-12T20:05:05.721419Z digest=sha256:c5ecebeb6c78aec72712651c43f6f13d6796ea44ebdade8060e326956e9ae5e0

Observation 27f35f7e-58e9-4138-8461-14aaac3f6fe3 · outbound

This paper cites Uncertainty characteristics of subjective opinions.

Evidential Federated Learning for Skin Lesion Image Classification Uncertainty characteristics of subjective opinions

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:05:05.818283Z

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.

source=arxiv_source observed=2026-08-12T20:05:05.724647Z digest=sha256:de4c9ac5ae0e6ad2d9ce94da4d9889d4cd1e6c8157a82218668e864059e87b7d

Observation 9985d523-6f50-4ac6-ad70-c0245c037ef3 · outbound

This paper cites A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning.

Evidential Federated Learning for Skin Lesion Image Classification A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T20:05:05.728360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:05:05.728360Z digest=sha256:74106fc4c140a3b6acc925f78a4fea1b1b56e7a467b1b1ae72c267d8c1c52a0c

Pith citing papers

Observation 1deff2c6-315a-44e4-8aa6-ffd2d11bfbd4 · inbound

Ensemble-Based Dirichlet Modeling for Predictive Uncertainty and Selective Classification cites this paper.

Ensemble-Based Dirichlet Modeling for Predictive Uncertainty and Selective Classification Evidential Federated Learning for Skin Lesion Image Classification

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:15:52.048884Z

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.

source=pdf_text observed=2026-05-10T18:38:30.129473Z digest=sha256:daaa85378377ccc0d3c3d839d09581f1938e8160e2dbb1fa8c8d758e48f7608d