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Paper Citation Record · LEDGER

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis

As of 14 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2607.20691.

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

pith.paper-citation-record.v1
2607.20691 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:40:52.056345Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:40:44.488942Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 48dead85-5145-42db-931a-983919edd3d5 · outbound

This paper cites Application of deep learning on automated breast ultrasound: Current developments, challenges, and opportunities,.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis Application of deep learning on automated breast ultrasound: Current developments, challenges, and opportunities,

Reference 1

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Observation 7ccf3acf-79cb-4181-bbf5-44d989158a4d · outbound

This paper cites A review of methods for trustworthy ai in medical imaging: The future-ai guidelines,.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis A review of methods for trustworthy ai in medical imaging: The future-ai guidelines,

Reference 2

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Observation b1ab7c6d-8b81-4e08-a032-73585f3332af · outbound

This paper cites Post-hoc vs ante-hoc explanations: xai design guidelines for data scientists,.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis Post-hoc vs ante-hoc explanations: xai design guidelines for data scientists,

Reference 3

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Observation 8f94c502-0e98-4c53-8cce-4c419d9f8b23 · outbound

This paper cites X-brain: Explainable recognition of brain tumors using robust deep attention cnn,.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis X-brain: Explainable recognition of brain tumors using robust deep attention cnn,

Reference 4

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Observation 26690aed-fb5a-4114-8fbc-6c33a2420b01 · outbound

This paper cites Unmasking dementia detection by masking input gradients: A jsm approach to model interpretability and precision,.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis Unmasking dementia detection by masking input gradients: A jsm approach to model interpretability and precision,

Reference 5

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Observation 49aa5470-9fd7-4cc0-b421-9573c1c3bfda · outbound

This paper cites Detecting and mitigating the clever hans effect in medical imaging: a scoping review,.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis Detecting and mitigating the clever hans effect in medical imaging: a scoping review,

Reference 6

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Observation 768c7dd6-6c29-4dca-931e-a48fe5682057 · outbound

This paper cites Concept bottleneck models,.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis Concept bottleneck models,

Reference 7

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Observation 2c5e8f9c-612d-4177-8f32-629376caa7b4 · outbound

This paper cites Learning a Clinically-Relevant Concept Bottleneck for Lesion Detec- tion in Breast Ultrasound ,.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis Learning a Clinically-Relevant Concept Bottleneck for Lesion Detec- tion in Breast Ultrasound ,

Reference 8

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Observation 6f414d09-6fce-442e-8fb8-fd3dc2e8876f · outbound

This paper cites Bi-rads-net: An explainable multi- task learning approach for cancer diagnosis in breast ultrasound images,.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis Bi-rads-net: An explainable multi- task learning approach for cancer diagnosis in breast ultrasound images,

Reference 9

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Observation d2d8d599-460f-4428-96d0-4c28d5898c02 · outbound

This paper cites Deep learning for describing breast ultrasound images with bi-rads terms,.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis Deep learning for describing breast ultrasound images with bi-rads terms,

Reference 10

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Observation a577d21d-d182-4432-8c88-ea8ff79b1b4e · outbound

This paper cites A review of the segment anything model (sam) for medical image analysis: Accomplishments and perspectives,.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis A review of the segment anything model (sam) for medical image analysis: Accomplishments and perspectives,

Reference 11

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Observation 84098b8a-bb97-4cbf-b221-5f1d4ca2b7de · outbound

This paper cites On the concept trustworthiness in concept bottleneck models,.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis On the concept trustworthiness in concept bottleneck models,

Reference 12

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Observation 6437882e-e016-4504-8a7c-b7a505be8597 · outbound

This paper cites What’s in the bottle? a survey and roadmap of concept bottleneck models,.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis What’s in the bottle? a survey and roadmap of concept bottleneck models,

Reference 13

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Observation 2baea97a-f946-4918-9d0a-2e5cea19af55 · outbound

This paper cites Identification of benign and malignant breast nodules on ultrasound: comparison of multiple deep learning models and model interpretation,.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis Identification of benign and malignant breast nodules on ultrasound: comparison of multiple deep learning models and model interpretation,

Reference 14

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Observation 5367bf41-a87e-4339-8bd3-a4e36d0f4d8c · outbound

This paper cites Weakly supervised lesion detection and diagnosis for breast cancers with partially annotated ultrasound images,.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis Weakly supervised lesion detection and diagnosis for breast cancers with partially annotated ultrasound images,

Reference 15

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Observation 9b866b58-7b81-47b0-9c29-20303b60f25a · outbound

This paper cites Focal loss for dense object detection,.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis Focal loss for dense object detection,

Reference 16

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Observation cfe7eefa-0da3-4a10-aeee-feb0146732e1 · outbound

This paper cites Curated benchmark dataset for ultrasound based breast lesion analysis,.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis Curated benchmark dataset for ultrasound based breast lesion analysis,

Reference 17

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Observation 109bdf57-b7f2-435b-9147-5bfd911f1757 · outbound

This paper cites A curated benchmark dataset for ultrasound based breast lesion analysis (breast-lesions-usg) (version 1) [dataset],.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis A curated benchmark dataset for ultrasound based breast lesion analysis (breast-lesions-usg) (version 1) [dataset],

Reference 18

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Observation e741e595-509b-4e3e-b7a7-23c91634192d · outbound

This paper cites SAM 3: Segment Anything with Concepts.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis SAM 3: Segment Anything with Concepts

Reference 19

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Observation b0486aab-4b51-4073-b29f-785b81109b2d · outbound

This paper cites A comprehensive survey on deep active learning in medical image analysis,.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis A comprehensive survey on deep active learning in medical image analysis,

Reference 20

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Observation 3eebd888-fa49-4844-aeef-86b4e4b4adcc · outbound

This paper cites 5338–5348.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis 5338–5348

Reference 119

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Observation 59697ef1-bdd6-4194-b5eb-a557320341a9 · outbound

This paper cites Available: https://doi.org/10.7937/9WKK-Q141.

Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis Available: https://doi.org/10.7937/9WKK-Q141

Reference 2024

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Pith citing papers

Observation 7792d299-af25-431a-91eb-94a268ed8e75 · inbound

Loss Invariance Determines What Concept Layers Encode: Volume Grounding in Echocardiography cites this paper.

Loss Invariance Determines What Concept Layers Encode: Volume Grounding in Echocardiography Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis

Reference 16

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