Paper Citation Record · LEDGER

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification

As of 21 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.06309.

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

pith.paper-citation-record.v1
2607.06309 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T10:53:30.847851Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

32 of 32 outbound references displayed

verified exact5
verified fuzzy22
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6bf6766-ff16-487f-8ea1-98abe9f7fbb0 · outbound

This paper cites Mammo-bench:Alarge-scalebenchmarkdatasetofmammographyimages,in:InternationalConference on Computational Advances in Bio and Medical Sciences, Springer.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Mammo-bench:Alarge-scalebenchmarkdatasetofmammographyimages,in:InternationalConference on Computational Advances in Bio and Medical Sciences, Springer

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.566740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4c4f349c-8d2e-4984-92c8-8a136c9ef91a · outbound

This paper cites An online mammography database with biopsy confirmed types.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification An online mammography database with biopsy confirmed types

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.556874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9bee8849-9908-4434-9de5-d4ac6e02b778 · outbound

This paper cites Convolutional networks and transformers for mammography classification: an experimental study.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Convolutional networks and transformers for mammography classification: an experimental study

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.585288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation da16932e-d147-4d52-8e0d-750d21861dd1 · outbound

This paper cites Adaptformer: Adapting vision transformers for scalable visual recognition.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Adaptformer: Adapting vision transformers for scalable visual recognition

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.595635Z

Source-reported events for the cited work

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Observation d984440e-4a17-4752-a170-247390c218fb · outbound

This paper cites an unresolved cited work.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-07-08T10:54:49.634187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 16a1db87-ed12-4182-be58-e56d8aa5e74d · outbound

This paper cites Interpretable breast cancer identification by multi-view synergistic feature fusion interaction in dense breast tissue.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Interpretable breast cancer identification by multi-view synergistic feature fusion interaction in dense breast tissue

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.629065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1dce14ea-f669-46d7-b55a-2e254f3d529a · outbound

This paper cites Efficient breast cancer mammograms diagnosis using three deep neural networks and term variance.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Efficient breast cancer mammograms diagnosis using three deep neural networks and term variance

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.562651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 140c19c0-7558-4381-be03-5a8abc3447b5 · outbound

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

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Lora: Low-rank adaptation of large language models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.616287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cb0a7a60-cb01-4ee4-8e1a-827b6228327b · outbound

This paper cites Visual prompt tuning, in: European conference on computer vision, Springer.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Visual prompt tuning, in: European conference on computer vision, Springer

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.607806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cd7aac01-369d-4662-a850-bc3b9dfcf7a0 · outbound

This paper cites Maple: Multi-modal prompt learning, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Maple: Multi-modal prompt learning, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.626482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1709d4dc-92d2-4f18-8f99-073167de4af6 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Adam: A Method for Stochastic Optimization

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-08T10:54:49.137233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4c9430ce-69e7-4dbc-849d-87494a54c8de · outbound

This paper cites Stethonet:robustbreastcancermammography classification framework.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Stethonet:robustbreastcancermammography classification framework

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.575924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b70d0c6b-945b-483c-bd31-fa244811abc3 · outbound

This paper cites Multi-view cross attention for guiding surgical planning in rotator cuff repairs with limited mri data.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Multi-view cross attention for guiding surgical planning in rotator cuff repairs with limited mri data

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.621483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 763aea1d-acf1-4112-af28-f264b9b4155c · outbound

This paper cites An interpretable cnn-based model for mass classification in mammography.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification An interpretable cnn-based model for mass classification in mammography

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.618846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fe41fcb1-a326-4b9a-9a48-da95977eacab · outbound

This paper cites Actlikearadiologist:towardsreliablemulti-viewcorrespondencereasoning for mammogram mass detection.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Actlikearadiologist:towardsreliablemulti-viewcorrespondencereasoning for mammogram mass detection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.598571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9f3835d0-3dda-47f5-ba41-c0635afa2ed7 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows, in: Proceedings of the IEEE/CVF international conference on computer vision, pp.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Swin transformer: Hierarchical vision transformer using shifted windows, in: Proceedings of the IEEE/CVF international conference on computer vision, pp

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.582802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 755821a3-5667-4154-b780-6125df59cc94 · outbound

This paper cites Mammographyclassificationwithmulti-view deep learning techniques: Investigating graph and transformer-based architectures.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Mammographyclassificationwithmulti-view deep learning techniques: Investigating graph and transformer-based architectures

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.610669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f77d28ed-e9c9-4128-993a-c153bbd8b416 · outbound

This paper cites TransReg: Cross-transformer as auto-registration module for multi-view mammogram mass detection.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification TransReg: Cross-transformer as auto-registration module for multi-view mammogram mass detection

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-08T10:54:49.132631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dc7d5f1a-8bf7-4b8c-a29d-9ee89bc79a2a · outbound

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

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Vindr-mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.623870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 027c952f-0551-4eab-890f-59430fc8fe9c · outbound

This paper cites an unresolved cited work.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-07-08T10:54:49.631612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bfeadc5b-5a78-403e-b5ec-9d637acf50b8 · outbound

This paper cites Mv-trams: An efficient tumor region-adapted mammography synthesisundermulti-viewdiagnosis.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Mv-trams: An efficient tumor region-adapted mammography synthesisundermulti-viewdiagnosis

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-08T10:54:49.009547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 684f8a86-24e7-42a4-8177-50a41d49ae63 · outbound

This paper cites Weakly supervised learning for breast cancer prediction on mammograms in realistic settings.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Weakly supervised learning for breast cancer prediction on mammograms in realistic settings

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.574477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 58feb414-b5e1-476b-96c1-01f78af9aa36 · outbound

This paper cites Breast cancer diagnosis in two-view mammography using end-to-end trained efficientnet-based convolutional network.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Breast cancer diagnosis in two-view mammography using end-to-end trained efficientnet-based convolutional network

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.591795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0832234c-b4a8-4318-8baf-671c13a09a0e · outbound

This paper cites Transformer-guidedcross-viewcorrelationnetworkformammogramclassification,in: 2025 IEEE 9th International Conference on Information and Communication Technology (CICT), IEEE.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Transformer-guidedcross-viewcorrelationnetworkformammogramclassification,in: 2025 IEEE 9th International Conference on Information and Communication Technology (CICT), IEEE

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.601545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 63a288a5-0257-46f3-853a-664bd8afe6a2 · outbound

This paper cites Deep learning in mammography images segmentation and classification: Automated cnn approach.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Deep learning in mammography images segmentation and classification: Automated cnn approach

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.579505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7c9d7ba3-a1b2-4967-8af2-7ad5ecc0e57b · outbound

This paper cites MedGemma Technical Report.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification MedGemma Technical Report

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-08T10:54:49.141568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3671ad5f-816b-4516-bd88-ff3e0ec6be08 · outbound

This paper cites an unresolved cited work.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-07-08T10:54:49.613343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 35480163-4e68-4c66-bff0-94debc65ea9c · outbound

This paper cites an unresolved cited work.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-07-08T10:54:49.573240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f2904464-8bbb-4455-91a0-067aab425084 · outbound

This paper cites Visualizingandunderstandingconvolutionalnetworks,in:Europeanconferenceoncomputervision,Springer.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Visualizingandunderstandingconvolutionalnetworks,in:Europeanconferenceoncomputervision,Springer

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.592974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6da3d608-58a8-43ae-a1d3-3d0c1886030b · outbound

This paper cites Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T10:54:49.127702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a6778043-48c3-415d-9d10-09d8ec86aea9 · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-07-08T10:54:49.123746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 052a034f-a537-4230-99bf-078ff7613a8e · outbound

This paper cites Learning to prompt for vision-language models.

Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification Learning to prompt for vision-language models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T10:54:49.605213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.