Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:09:12.986403Z
Paper Citation Record · LEDGER
Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images
As of 8 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2506.03420.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
22 of 22 outbound references displayed
- verified exact0
- verified fuzzy17
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 43b1794e-6b96-4673-9cc6-2c7c71c4795a · outbound
This paper cites an unresolved cited work.
Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:09:18.214408Z
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 19b2e383-0625-40f6-9f53-4b874c1cc155 · outbound
This paper cites Behara, E.
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:09:18.102869Z
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 86595cbb-8e80-4119-bd25-aa8864ea042c · outbound
This paper cites Cheng, J.
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:09:17.921319Z
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 d75e75d5-838b-4af3-910d-b97dde86b043 · outbound
This paper cites A self-contrastive learning framework for skin cancer detection using histological images.
Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images A self-contrastive learning framework for skin cancer detection using histological images
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:09:17.781882Z
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 aca4ae7e-1abc-457f-ae71-bcd1ef82dc41 · outbound
This paper cites Hi-mvit: A lightweight model for explainable skin disease classifi- cation based on modified mobilevit.Digital Health, 9: 20552076231207197, 2023.
Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images Hi-mvit: A lightweight model for explainable skin disease classifi- cation based on modified mobilevit.Digital Health, 9: 20552076231207197, 2023
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:09:17.649654Z
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 a7e88a63-f785-4a77-94d7-8b3bc1f64b29 · outbound
This paper cites Eva-02: A visual representation for neon genesis.Image and Vision Computing, 149:105171,.
Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images Eva-02: A visual representation for neon genesis.Image and Vision Computing, 149:105171,
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:09:11.426441Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17adaf7e-876e-4b90-b3bd-9f00fda904dc · outbound
This paper cites an unresolved cited work.
Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:09:17.440658Z
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 bacb42c7-9449-41f0-95c9-6f8740d86546 · outbound
This paper cites Sohel Rahman.
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:09:17.286646Z
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 cce497a6-dac9-468b-89ca-06cd0411981f · outbound
This paper cites Mini- mal sourced and lightweight federated transfer learning mod- els for skin cancer detection.Scientific Reports, 15:2605,.
Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images Mini- mal sourced and lightweight federated transfer learning mod- els for skin cancer detection.Scientific Reports, 15:2605,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:09:17.132143Z
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 18c7a4ca-ae64-4766-ba6d-6e372f6cb013 · outbound
This paper cites Kousis, I.
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:09:17.012294Z
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 59d17c5d-333c-4132-a8cc-a45d829ea8d4 · outbound
This paper cites Kurtansky, Brian M.
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:09:15.207617Z
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 f7b6258f-e6a7-4315-8454-35e6c4003ad8 · outbound
This paper cites A novel skin cancer assisted diagnosis method based on cap- sule networks with cbam.
Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images A novel skin cancer assisted diagnosis method based on cap- sule networks with cbam
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:09:14.748345Z
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 1d898b1e-e394-4e59-824f-624d3a84b696 · outbound
This paper cites Kumar Lilhore, S.
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:09:14.644844Z
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 785a82bd-33b3-4256-bd49-9fc4a11ee2df · outbound
This paper cites Edgenext: Efficiently amalgamated cnn-transformer architecture for mobile vision applications, 2022.
Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images Edgenext: Efficiently amalgamated cnn-transformer architecture for mobile vision applications, 2022
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:09:14.467027Z
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 c8eca13c-1e02-4afd-a2b7-39c1da2063cd · outbound
This paper cites an unresolved cited work.
Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:09:14.317804Z
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 16959054-0c00-4ea8-b92d-02000b7bae15 · outbound
This paper cites El-Behaidy.
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:09:14.194903Z
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 5e28fa8e-0213-41fe-b81a-7a4984193478 · outbound
This paper cites Skin cancer detection using deep learning—a review.Diagnostics, 13(11):1911,.
Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images Skin cancer detection using deep learning—a review.Diagnostics, 13(11):1911,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:09:14.007145Z
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 4d5f8b71-a6c3-4919-9d25-b973731e6587 · outbound
This paper cites Garc´ıa-de-la Puente, Miguel L´opez-P´erez, La¨etitia Launet, and Valery Naranjo.
Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images Garc´ıa-de-la Puente, Miguel L´opez-P´erez, La¨etitia Launet, and Valery Naranjo
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:09:13.887126Z
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 1cb49b28-1665-41a3-9ffe-d81a20457975 · outbound
This paper cites an unresolved cited work.
Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:09:13.746972Z
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 7723ce4f-ae13-42eb-8604-cd67c2b3cfff · outbound
This paper cites Smart mobinet: A deep learning approach for accurate skin cancer diagnosis.Computers, Materials and Continua, 77(3):3533–3549, 2023.
Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images Smart mobinet: A deep learning approach for accurate skin cancer diagnosis.Computers, Materials and Continua, 77(3):3533–3549, 2023
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:09:13.572144Z
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 84ba7183-027d-42df-8bee-503f00cf2753 · outbound
This paper cites Dscc net: Multi-classification deep learning models for diagnosing of skin cancer using dermoscopic images.Cancers, 15(7):2179,.
Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images Dscc net: Multi-classification deep learning models for diagnosing of skin cancer using dermoscopic images.Cancers, 15(7):2179,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:09:13.451505Z
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 992043d9-9316-462f-871a-0ca9023ca988 · outbound
This paper cites Cbam: Convolutional block attention module, 2018.
Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images Cbam: Convolutional block attention module, 2018
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:09:13.272306Z
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
No inbound Pith citation observations are available.