Paper Citation Record · LEDGER

Deep Modeling and Optimization of Medical Image Classification

As of 7 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2505.23040.

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

pith.paper-citation-record.v1
2505.23040 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:59:04.801870Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:59:01.835384Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:59:04.978397Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy20
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5545a96-d2d2-46f8-b92e-34546ed5a0fb · outbound

This paper cites These models have shown a remarkable ability to learn complex visual patterns and have outperformed traditional machine learning techniques in both accuracy and scalability.

Deep Modeling and Optimization of Medical Image Classification These models have shown a remarkable ability to learn complex visual patterns and have outperformed traditional machine learning techniques in both accuracy and scalability

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:10.458291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 75d0032c-f3f9-485f-93b8-5a7b8a3c2b5f · outbound

This paper cites an unresolved cited work.

Deep Modeling and Optimization of Medical Image Classification Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:59:10.257204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 52ee39a0-03c0-4bc5-9993-a423661c06e8 · outbound

This paper cites an unresolved cited work.

Deep Modeling and Optimization of Medical Image Classification Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:59:10.031924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d3d0d38d-9496-4bb2-8357-85f15f8d5c49 · outbound

This paper cites Deep Modeling and Optimization of Medical Image Classification.

Deep Modeling and Optimization of Medical Image Classification Deep Modeling and Optimization of Medical Image Classification

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4cb44538-00ae-44d0-b7b2-be604368aacc · outbound

This paper cites a picture of a {class}.

Deep Modeling and Optimization of Medical Image Classification a picture of a {class}

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:09.841809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1b965f58-c227-4716-8277-6a5c4f468cfb · outbound

This paper cites Datasets Federated HAM10000 (FHAM).

Deep Modeling and Optimization of Medical Image Classification Datasets Federated HAM10000 (FHAM)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:09.587507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1fa9b9fe-b00b-4c2d-975a-43b7b0ed0e1b · outbound

This paper cites an unresolved cited work.

Deep Modeling and Optimization of Medical Image Classification Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:59:09.310136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f574e5d3-cd77-49e6-a8e4-67d629acf087 · outbound

This paper cites We use FHAM dataset as an example to evaluate the usefulness of 12 deep models using two FL techniques (FedA VG and Fed- Prox) with five optimizers.

Deep Modeling and Optimization of Medical Image Classification We use FHAM dataset as an example to evaluate the usefulness of 12 deep models using two FL techniques (FedA VG and Fed- Prox) with five optimizers

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:09.107139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ed3fd824-d7a2-4faa-9407-847abb45a7e9 · outbound

This paper cites The ISIC2018 test set is used to demonstrate the generalizability of four CNNs and eight ViTs using k-nearest neighbours (KNN) and support vec- tor machine (SVM) [12].

Deep Modeling and Optimization of Medical Image Classification The ISIC2018 test set is used to demonstrate the generalizability of four CNNs and eight ViTs using k-nearest neighbours (KNN) and support vec- tor machine (SVM) [12]

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:08.908948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a06b418c-09a9-40f7-9cf9-003a4ed0e6ae · outbound

This paper cites an unresolved cited work.

Deep Modeling and Optimization of Medical Image Classification Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:59:08.708703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c078d35-0ad5-4f43-9aba-e410ef5a676d · outbound

This paper cites an unresolved cited work.

Deep Modeling and Optimization of Medical Image Classification Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:59:08.484584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b4b67db-d1dd-44dd-a598-9d81579b1db4 · outbound

This paper cites an unresolved cited work.

Deep Modeling and Optimization of Medical Image Classification Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:59:08.257892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2b5f6272-10a5-4637-8fee-cba20d475da0 · outbound

This paper cites Maxcervixt: A novel lightweight vision transformer-based approach for precise cervical cancer detection,.

Deep Modeling and Optimization of Medical Image Classification Maxcervixt: A novel lightweight vision transformer-based approach for precise cervical cancer detection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:08.011610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4fda5218-377d-42ee-9618-eef0cb9303e2 · outbound

This paper cites Federated learning for health- care applications,.

Deep Modeling and Optimization of Medical Image Classification Federated learning for health- care applications,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:07.731320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 635f214c-04a2-49f3-a59d-3d0793937eb8 · outbound

This paper cites Facmic: Federated adaptative clip model for medical image classification,.

Deep Modeling and Optimization of Medical Image Classification Facmic: Federated adaptative clip model for medical image classification,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:07.494734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef075421-5ddd-4e6b-bbed-05b3321b2494 · outbound

This paper cites Communication-efficient learning of deep networks from decen- tralized data,.

Deep Modeling and Optimization of Medical Image Classification Communication-efficient learning of deep networks from decen- tralized data,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:07.312834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86b571c6-65c5-4d5a-86ff-732b0999c9f0 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Deep Modeling and Optimization of Medical Image Classification Learning transferable visual models from natural language supervision,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:07.135010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3cbb5062-59ce-4f63-a11b-a192351933f8 · outbound

This paper cites Are natural domain foundation models useful for med- ical image classification?,.

Deep Modeling and Optimization of Medical Image Classification Are natural domain foundation models useful for med- ical image classification?,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:06.924623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2f6f4df8-59b7-41f3-adda-a05b7547cbbf · outbound

This paper cites Federated optimization in heterogeneous networks,.

Deep Modeling and Optimization of Medical Image Classification Federated optimization in heterogeneous networks,

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9b678aa-2cb9-45e7-a9e4-0930ad461464 · outbound

This paper cites Image cyberbullying detection and recognition us- ing transfer deep machine learning,.

Deep Modeling and Optimization of Medical Image Classification Image cyberbullying detection and recognition us- ing transfer deep machine learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:06.765940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5bec6ba6-db2b-49d5-8dfa-c6440cf5c810 · outbound

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

Deep Modeling and Optimization of Medical Image Classification The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pig- mented skin lesions,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:06.547832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ff5180d6-342f-474f-9a94-4fa80c763484 · outbound

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

Deep Modeling and Optimization of Medical Image Classification Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:03.941597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99546774-e547-4071-b219-86a9412787aa · outbound

This paper cites Brain tumor classification dataset.

Deep Modeling and Optimization of Medical Image Classification Brain tumor classification dataset

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:06.388851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6f570997-42c0-4abc-917e-ba8051358b83 · outbound

This paper cites A comparative analysis of k-nearest neighbor, genetic, support vector machine, decision tree, and long short term memory algorithms in machine learning,.

Deep Modeling and Optimization of Medical Image Classification A comparative analysis of k-nearest neighbor, genetic, support vector machine, decision tree, and long short term memory algorithms in machine learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:06.214067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 58703a58-8c23-4f6a-8b3e-7c2579805819 · outbound

This paper cites Convnext v2: Co-designing and scaling convnets with masked autoen- coders,.

Deep Modeling and Optimization of Medical Image Classification Convnext v2: Co-designing and scaling convnets with masked autoen- coders,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:06.062167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9bc493f4-08cf-4b5e-b709-7f9fa934eb3d · outbound

This paper cites Convision benchmark: A contemporary framework to bench- mark cnn and vit models,.

Deep Modeling and Optimization of Medical Image Classification Convision benchmark: A contemporary framework to bench- mark cnn and vit models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:05.869968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a65ee0ba-9ed1-4cf6-bf52-5c55d0a06076 · outbound

This paper cites Survey of optimiza- tion algorithms in modern neural networks,.

Deep Modeling and Optimization of Medical Image Classification Survey of optimiza- tion algorithms in modern neural networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:05.663277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bb25d54f-98f1-4797-b4e3-47a60742417e · outbound

This paper cites Fed- erated large language model: Solutions, challenges and future direc- tions,.

Deep Modeling and Optimization of Medical Image Classification Fed- erated large language model: Solutions, challenges and future direc- tions,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:05.484969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 55af1dbc-a9bc-418d-8a1a-9a1f336d41ab · outbound

This paper cites Enhancing classification tasks through do- main adaptation strategies,.

Deep Modeling and Optimization of Medical Image Classification Enhancing classification tasks through do- main adaptation strategies,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:05.247351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation d3d0d38d-9496-4bb2-8357-85f15f8d5c49 · inbound