Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T05:43:35.865875Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2509.05004.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T05:43:35.865875Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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
30 of 30 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f3944162-a671-46d2-a785-7b79029a565b · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Ai in thyroid cancer diagnosis: Techniques, trends, and future directions,
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0d89535a-599b-4287-93e3-6ce29cbe266d · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries,
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1a065073-aaf7-4e16-9fd8-8bf6fd0e83d6 · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Gflasso-lr: logistic regres- sion with generalized fused lasso for gene selection in high-dimensional cancer classification,
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 21c5f729-f44e-4741-8ab4-a2a9633738db · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Hybrid whale-mud-ring optimization for precise color skin cancer image segmentation,
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2d5d17ba-bbec-46e9-b2fb-b53e66b992b3 · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Advanced deep learning and large language models: Comprehensive insights for cancer detection,
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 82ce25e0-f02f-4901-8abc-5f7f5069d077 · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Practical ultrasound evaluation of breast lesions,
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ad6b6fdf-84e5-43ca-8ee2-49d66bc2910a · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Artificial intelligence in breast imaging,
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3e00df08-e163-466b-ac94-fefb56af4f2e · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Impact of variability in ultrasound imaging on breast cancer diagnosis: A survey,
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e77673b0-7387-4b63-a207-36caf2b03d5c · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Harness- ing transformers: A leap forward in lung cancer image detection,
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e34f4394-13b1-43d4-98bb-bbb315ac70c3 · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Federated and transfer learning for cancer detection based on image analysis,
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d2869215-5464-46e6-b3ea-be6de6be569e · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Enhanc- ing cancer detection with fine-tuned large language models: A compar- ative study on low-rank adaptation,
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e7c1b9b3-8695-4c1c-878c-5a691f91d6b7 · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Deep learning for breast cancer detection in ultrasound im- ages: A comprehensive review,
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9c72d1de-0231-4746-a8b6-a6a26b4fd2e5 · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Ultrasound images classi- fication of thyroid cancer using deep transfer learning,
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 41650721-821a-4304-a0ae-79d2a1e558c0 · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Hybrid models for breast cancer detection: Combining CNNs and traditional ML approaches,
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 81583d42-8a80-4079-b63c-49becc95c8dc · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study AI-based feature extraction using transfer learning for breast cancer detection,
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation eddeeb39-1361-4b73-8282-12908c115aa2 · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Attention-based convolutional neural networks for breast cancer detection in ultrasound images,
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4ae32ac9-e13f-4289-9336-70f2bb09c7a6 · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Recent advances in ML algorithms for breast cancer detec- tion,
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8230f2d3-8a76-43b5-a10d-a7006eb4bd0a · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Comparative analysis of deep learning and traditional ML methods for breast cancer detection,
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bd940b74-563c-47aa-b0ec-aab308fb6336 · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Multicenter evaluation of deep learning for breast ultrasound diagnosis,
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9df1ab1e-f768-47c3-9872-69819ae20929 · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Interpretable deep learning model for breast ultrasound diagnosis in clinical practice,
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bced112d-987a-490d-a8ec-da1e47f66b13 · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Deep radiomics of ultrasound images for breast lesion classification,
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 13486454-d055-4245-bb99-104e0a41f941 · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Deep Transfer Learning for Kidney Cancer Diagnosis
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b340288-18ea-4396-b054-40efe32127ed · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Transfer learning for cancer detection based on images analysis,
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2253e7d8-3cd5-459d-b658-bf90aca6e49b · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Dataset of breast ultrasound images,
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be78df5a-3239-40dd-b695-9be37060f0dc · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study BUS- BRA: A breast ultrasound dataset for assessing computer-aided diag- nosis systems,
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6e9b0a6e-dd1b-49b1-a393-6b1bd88284fe · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Efficientnet: Rethinking model scaling for convolutional neural networks,
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 497d2132-0575-4847-8b8e-1efd6901dbf5 · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Breast cancer classification from ultrasound images using probability-based optimal deep learning feature fusion,
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 09f58c9d-0816-41c9-98d8-8c71ae7554e3 · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study CAM-based explainable deep learning models for medical image classification: A review,
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ea071367-f302-41d8-b4de-cac2d635bbd1 · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study Object detection in breast ultrasound using YOLOv5 and clinically interpretable evaluation,
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e21cbbed-04eb-4cb5-a851-fb604270c141 · outbound
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study The future of digital health with federated learning,
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
No inbound Pith citation observations are available.