Paper Citation Record · LEDGER

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion

As of 20 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2507.16955.

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

pith.paper-citation-record.v1
2507.16955 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:05:36.220923Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy28
unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 93be4de6-96c6-4f56-9aae-4dccde239d31 · outbound

This paper cites Breast cancer statistics, 2022,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Breast cancer statistics, 2022,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:37.166445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 09bda4ff-39d5-4b4f-9e30-4f0faaf8f835 · outbound

This paper cites Breast cancer screening, mammography, and other modalities,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Breast cancer screening, mammography, and other modalities,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:37.141488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 23328c4a-bdbd-4238-b5da-1a18be9b3bb8 · outbound

This paper cites Comparison of abbreviated breast mri vs digital breast tomosynthesis for breast cancer detection among women with dense breasts undergoing screening,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Comparison of abbreviated breast mri vs digital breast tomosynthesis for breast cancer detection among women with dense breasts undergoing screening,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:37.116519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 432e9c1f-1f54-4159-b30b-c81df39fc1b8 · outbound

This paper cites Revolutionising healthcare with artificial intelligence: A bibliometric analysis of 40 years of progress in health systems,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Revolutionising healthcare with artificial intelligence: A bibliometric analysis of 40 years of progress in health systems,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:37.095160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a47fdb0e-14a8-4ae5-aace-72c205a7688c · outbound

This paper cites Convolutional neural networks for medical image analysis: state-of-the-art, comparisons, improvement and perspectives,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Convolutional neural networks for medical image analysis: state-of-the-art, comparisons, improvement and perspectives,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:37.068435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 878f5537-b202-4f96-a2e9-1533eeb0bd92 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T15:05:34.735862Z

Source-reported events for the cited work

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Observation 66f682ac-f712-4736-81ad-71d5267c671a · outbound

This paper cites Swin transformer: Hierar- chical vision transformer using shifted windows,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Swin transformer: Hierar- chical vision transformer using shifted windows,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:37.043907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 53f93cd0-a6e2-434e-b0c0-6f06963b1aa8 · outbound

This paper cites Transformers in medical imaging: A survey,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Transformers in medical imaging: A survey,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:37.019137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5c10e4ec-b6e7-42ff-90e5-0e8f553a5118 · outbound

This paper cites Transformers-based architectures for stroke segmentation: A review,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Transformers-based architectures for stroke segmentation: A review,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.995809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 93c3f5b1-7966-40cc-bc92-070011942551 · outbound

This paper cites Vmamba: Visual state space model,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Vmamba: Visual state space model,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.973775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 06df1d88-4506-4c85-8c97-c8b5bff7b57e · outbound

This paper cites MedMamba: Vision Mamba for Medical Image Classification.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion MedMamba: Vision Mamba for Medical Image Classification

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:05:35.235749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98907876-d9f9-4ec9-a0dd-f3ec99a48c92 · outbound

This paper cites VM-UNet: Vision Mamba UNet for Medical Image Segmentation.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:05:35.333662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 636e5c73-69c0-4e15-959f-b22efcf1ee60 · outbound

This paper cites Delving into ipsilat- eral mammogram assessment under multi-view network,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Delving into ipsilat- eral mammogram assessment under multi-view network,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.949829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9ed44c4d-59a1-4e0d-b988-5b5b4667ac25 · outbound

This paper cites Independent evaluation of a multi-view multi-task convolutional neural network breast cancer classification model using finnish mammography screening data,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Independent evaluation of a multi-view multi-task convolutional neural network breast cancer classification model using finnish mammography screening data,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.930222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0dfd5ea1-345a-4e0f-a364-80f8d94fec03 · outbound

This paper cites MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:05:35.561781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 870c9ae9-0150-4dc0-b420-71ca3cf9f266 · outbound

This paper cites Mv-swin-t: mammogram classification with multi-view swin transformer,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Mv-swin-t: mammogram classification with multi-view swin transformer,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.910558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7be1e385-d8e5-449a-93af-ee958a515128 · outbound

This paper cites Multi-view analysis of unregistered medical images us- ing cross-view transformers,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Multi-view analysis of unregistered medical images us- ing cross-view transformers,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.885709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1693d416-23e4-4227-8494-030ee82793e5 · outbound

This paper cites Mammography classification with multi-view deep learning techniques: Investigating graph and transformer-based architectures,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Mammography classification with multi-view deep learning techniques: Investigating graph and transformer-based architectures,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.860716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fd7c7f8b-ff55-4e7e-b2d0-c8044985d32c · outbound

This paper cites Deep models for stroke segmentation: do complex architectures always perform better?,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Deep models for stroke segmentation: do complex architectures always perform better?,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.833986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fbc60174-c396-49de-9b60-25229d6d095b · outbound

This paper cites A curated mam- mography data set for use in computer-aided detection and diagnosis research,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion A curated mam- mography data set for use in computer-aided detection and diagnosis research,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.815534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f9e93c60-0c8c-45b6-af6c-6340df2a8139 · outbound

This paper cites Transform- ers improve breast cancer diagnosis from unregistered multi-view mammograms,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Transform- ers improve breast cancer diagnosis from unregistered multi-view mammograms,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.794463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b2a395d1-0d04-4260-b4cb-85982ca92db8 · outbound

This paper cites Vindr-mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Vindr-mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.775940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2ea5eadc-6103-48d8-8194-13af53cbda76 · outbound

This paper cites Breast microcalcification diagnosis using deep convolutional neural network from digital mammograms,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Breast microcalcification diagnosis using deep convolutional neural network from digital mammograms,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.754110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2972e9de-791a-48e9-82bd-057d446cf77d · outbound

This paper cites Discrimination of breast cancer with mi- crocalcifications on mammography by deep learning,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Discrimination of breast cancer with mi- crocalcifications on mammography by deep learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.723594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f8795489-50b3-4dd6-af01-ca37c37cd0db · outbound

This paper cites Act like a radiologist: towards reliable multi-view correspondence reasoning for mammogram mass detection,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Act like a radiologist: towards reliable multi-view correspondence reasoning for mammogram mass detection,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.701791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6ae2aa92-3605-46fc-9c49-3e3542ea7f29 · outbound

This paper cites A multi-million mammography image dataset and population-based screening cohort for the training and evaluation of deep neural networks—the cohort of screen-aged women (csaw),.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion A multi-million mammography image dataset and population-based screening cohort for the training and evaluation of deep neural networks—the cohort of screen-aged women (csaw),

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.678215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f61c73f5-4692-40e9-8292-3412b8c3796f · outbound

This paper cites Current status of the digital database for screening mammography,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Current status of the digital database for screening mammography,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.632797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 86aa6fd2-8362-4f2c-9b3b-f4ab619d8d3a · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T15:05:36.183889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51db0eda-6c74-4bd5-99a1-99b40d5c5352 · outbound

This paper cites Deep residual learning for image recognition,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Deep residual learning for image recognition,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.611419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 14eb72fb-8a25-4516-8949-b349977e304e · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Efficiently Modeling Long Sequences with Structured State Spaces

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T15:05:36.197225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16a56a97-1615-4528-9e16-294cadfcdcb5 · outbound

This paper cites The mammographic images analysis society digital mammogram database,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion The mammographic images analysis society digital mammogram database,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.575380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 129722a8-f811-423f-ba36-d515420648b6 · outbound

This paper cites Inbreast: toward a full-field digital mammographic database,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Inbreast: toward a full-field digital mammographic database,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.546292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b8c94817-23e5-472e-b14b-d26765f48323 · outbound

This paper cites The chinese mammography database (cmmd): An online mammography database with biopsy confirmed types for machine diagnosis of breast,.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion The chinese mammography database (cmmd): An online mammography database with biopsy confirmed types for machine diagnosis of breast,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.525739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 86592531-a50b-4dec-97e4-677a887e568a · outbound

This paper cites Tompei-cmmd dataset (version 1) [dataset],.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion Tompei-cmmd dataset (version 1) [dataset],

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:36.502169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.