Paper Citation Record · LEDGER

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2507.17662.

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

pith.paper-citation-record.v1
2507.17662 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:48:10.417655Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

29 of 29 outbound references displayed

verified exact2
verified fuzzy20
unresolved7
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8f9105b5-b6f0-4731-aae8-fa810c087720 · outbound

This paper cites Global Cancer Statistics 2020: Globocan Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries,.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Global Cancer Statistics 2020: Globocan Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:11.535577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 20cb5cbc-1fbb-4b64-9472-30e054beb53f · outbound

This paper cites Novel use of Scout® Reflector for Target Localization in Preoperative Breast Radiotherapy,.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Novel use of Scout® Reflector for Target Localization in Preoperative Breast Radiotherapy,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:11.500625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ef045f18-9e29-49d7-8f68-2256aa842b81 · outbound

This paper cites Po91: Evaluation of Advanced Collapsed Cone Engine (ACE) Treatment Planning Algorithm for HDR Breast Plans,.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Po91: Evaluation of Advanced Collapsed Cone Engine (ACE) Treatment Planning Algorithm for HDR Breast Plans,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:11.452208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6510dfd9-0dbb-4b07-a87d-9382a38f9d32 · outbound

This paper cites A Novel Method for Measuring the Burden of Breast Cancer in Neighborhoods,.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography A Novel Method for Measuring the Burden of Breast Cancer in Neighborhoods,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:11.431200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9342fdf1-44cd-4852-91f8-106adf2afab4 · outbound

This paper cites Diagnostic Performance of Digital versus Film Mammography for Breast-Cancer Screening,.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Diagnostic Performance of Digital versus Film Mammography for Breast-Cancer Screening,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:11.391208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2a6d8f0a-a32f-48ac-8588-372aa30c08fd · outbound

This paper cites A review of computer aided detection in mammography,.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography A review of computer aided detection in mammography,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:11.369615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 960780bd-69a1-4fb9-919e-a44880293254 · outbound

This paper cites Multi-view convolu- tional neural networks for mammographic image classification,.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Multi-view convolu- tional neural networks for mammographic image classification,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:11.325409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3bbb0d42-6644-448b-a4c7-73313ecdae77 · outbound

This paper cites Multi-view feature fusion based four views model for mammo- gram classification using convolutional neural network,.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Multi-view feature fusion based four views model for mammo- gram classification using convolutional neural network,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:11.296301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0598f24c-d35f-4f45-bfc0-b3c5903496d2 · outbound

This paper cites Deep learning to improve breast cancer detection on screening mammography,.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Deep learning to improve breast cancer detection on screening mammography,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:11.265268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7d5e839c-9138-45a6-8736-b4fe2824ada3 · outbound

This paper cites An in- tegrated framework for breast mass classification and diagnosis using stacked ensemble of residual neural networks,.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography An in- tegrated framework for breast mass classification and diagnosis using stacked ensemble of residual neural networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:11.235432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 998a6d5b-25c5-4dde-948e-735b1644010a · outbound

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

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Mv-swin-t: mam- mogram classification with multi-view swin transformer,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:11.210189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e4fcd3c7-2453-4332-975b-07c4ba023a1f · outbound

This paper cites Integrating ai for human-centric breast cancer diagnostics: A multi- scale and multi-view swin transformer framework,.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Integrating ai for human-centric breast cancer diagnostics: A multi- scale and multi-view swin transformer framework,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:11.166609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7cc3cdc9-6b4c-4d63-a330-e0f442975e8f · outbound

This paper cites Advancing precision in breast can- cer detection: a fusion of vision transformers and cnns for calcification mammography classification,.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Advancing precision in breast can- cer detection: a fusion of vision transformers and cnns for calcification mammography classification,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:11.123792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a313530f-cc81-4b92-afc5-4c8170ba91a5 · outbound

This paper cites Hybridmammonet: A hybrid cnn-vit architecture for multi-view mammography image classifica- tion,.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Hybridmammonet: A hybrid cnn-vit architecture for multi-view mammography image classifica- tion,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:11.085332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 81357111-dbdb-453b-8b17-ef68a93780af · outbound

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

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:10.260857Z

Source-reported events for the cited work

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Observation 70220b68-1fa2-45fe-9880-9bec621e0bd2 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:10.267720Z

Source-reported events for the cited work

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Observation 8656036d-f036-4226-b14b-b3a00a461792 · outbound

This paper cites Vmamba: Visual state space model,.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Vmamba: Visual state space model,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:11.013848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a23edc76-839f-48eb-91f0-de70d26f9a97 · outbound

This paper cites Multi-scale vmamba: Hierarchy in hierarchy visual state space model,.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Multi-scale vmamba: Hierarchy in hierarchy visual state space model,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:10.959919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6b7f2eb0-8acb-4492-9ddf-43debe5a2cbb · outbound

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

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography MedMamba: Vision Mamba for Medical Image Classification

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:10.297988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a703c0a3-14fc-43c5-944c-21c4ceb7afab · outbound

This paper cites Dynamic Vision Mamba.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Dynamic Vision Mamba

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:10.309469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fdcb170-9b0c-452d-b1a4-2dcbbfec51e4 · outbound

This paper cites Mambavision: A hybrid mamba- transformer vision backbone,.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Mambavision: A hybrid mamba- transformer vision backbone,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:10.924505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ab109ef0-1aa8-4ed9-a8d2-88e544a88188 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Lora: Low-rank adaptation of large language models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:10.338124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00e4f446-bbfd-482d-9f6a-0001abf0aa72 · outbound

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

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography A curated mammography data set for use in computer-aided detection and diagnosis research,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:10.883371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 857236c3-2b9d-4394-9810-8e443b7d5783 · outbound

This paper cites Can Score-Based Generative Modeling Effectively Handle Medical Image Classification?.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Can Score-Based Generative Modeling Effectively Handle Medical Image Classification?

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:48:10.590275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 64ab96b8-8340-4d51-a490-5d814b830b32 · outbound

This paper cites Exploiting patch sizes and resolutions for multi-scale deep learning in mammogram image classification,.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Exploiting patch sizes and resolutions for multi-scale deep learning in mammogram image classification,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:10.361326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae38d27b-7030-4380-b21d-2f3c0654d5ee · outbound

This paper cites Deep cross-training: An approach to improve deep neural network classification on mam- mographic images,.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Deep cross-training: An approach to improve deep neural network classification on mam- mographic images,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:10.819080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8f75b13f-ad7e-4920-b2a9-01df2bdddd20 · outbound

This paper cites Mammo-Clustering: A Multi-views Tri-level Information Fusion Context Clustering Framework for Localization and Classification in Mammography.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography Mammo-Clustering: A Multi-views Tri-level Information Fusion Context Clustering Framework for Localization and Classification in Mammography

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:48:10.539024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3beabb78-4d89-4d7d-998a-3a266bfa2bf3 · outbound

This paper cites An open codebase for enhancing transparency in deep learning-based breast cancer diagnosis utilizing cbis-ddsm data,.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography An open codebase for enhancing transparency in deep learning-based breast cancer diagnosis utilizing cbis-ddsm data,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:10.793097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5458392e-e97a-4de0-b819-ec805dd9bdd2 · outbound

This paper cites XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification.

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:10.417655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.