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Paper Citation Record · LEDGER

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding

As of 9 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2512.21414.

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

pith.paper-citation-record.v1
2512.21414 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:10:17.435297Z

measured 21 of 21 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

21 of 21 outbound references displayed

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  • verified fuzzy0
  • unresolved21
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f04b11d0-38e1-4873-a742-464011b48229 · outbound

This paper cites h i s t o _ n u c _ c e n t r o i d.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding h i s t o _ n u c _ c e n t r o i d

Reference 1

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Observation 164e2384-72c4-40fd-bbe6-f2e939d95e39 · outbound

This paper cites an unresolved cited work.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding Unresolved cited work

Reference 3

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Observation 3d52105a-167c-4eef-929b-58bf2238134b · outbound

This paper cites missing” value of−1 (a constant map of −1s) and are handled consistently across all masking regimes. Details on filling dropped tools with the “missing.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding missing” value of−1 (a constant map of −1s) and are handled consistently across all masking regimes. Details on filling dropped tools with the “missing

Reference 4

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Observation a1b8cd23-bc99-4839-b0d6-b64f28cfa7ab · outbound

This paper cites an unresolved cited work.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding Unresolved cited work

Reference 6

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Observation 3fa2d2ab-4f80-4ffd-b9b0-df03b3f7c58e · outbound

This paper cites Correlation of nuclear morphometry with progres- sion of breast cancer.Cancer, 68(9):2012–2016,.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding Correlation of nuclear morphometry with progres- sion of breast cancer.Cancer, 68(9):2012–2016,

Reference 9

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Observation 7487ea2b-a807-43d6-9bf1-42c0a7bf1452 · outbound

This paper cites MedGemma Technical Report.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding MedGemma Technical Report

Reference 10

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Observation a8d90348-c2b9-45dc-92fd-ffe5b83d1c83 · outbound

This paper cites Medclip: Contrastive learning from unpaired medical images and text.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding Medclip: Contrastive learning from unpaired medical images and text

Reference 11

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Observation 412bcf46-c4da-4562-ad8e-e730e25b323b · outbound

This paper cites Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models

Reference 13

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Observation 72e10a00-3c87-4efb-b63a-7fdd1cfb4b5a · outbound

This paper cites Each WSI is manually annotated by pathologists to mark tumor regions, from which non-overlapping 96×96 pixel patches are extracted and labeled as eitherTumororNormal.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding Each WSI is manually annotated by pathologists to mark tumor regions, from which non-overlapping 96×96 pixel patches are extracted and labeled as eitherTumororNormal

Reference 14

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Observation bece87a2-dfc8-46b7-87e1-21aa948c775b · outbound

This paper cites tumor”, “no tumor.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding tumor”, “no tumor

Reference 16

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Observation b354e796-0bdf-4026-b668-38bfca6d8e00 · outbound

This paper cites an unresolved cited work.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding Unresolved cited work

Reference 19

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Observation 3494d7c3-7f67-4908-91a0-10a4bbf4b8f0 · outbound

This paper cites LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

Reference 1984

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Observation 2c5a47de-e468-4d08-a26a-8ddff5aab9b4 · outbound

This paper cites an unresolved cited work.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding Unresolved cited work

Reference 2003

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source=pdf_text observed=2026-08-03T14:10:17.291622Z digest=sha256:24a8e2d541a466da4b9081d1d8856f41702a38633703eb06b15a447eff6c8799

Observation 2d9f8b45-0b56-4e7f-a63a-f166469cb97e · outbound

This paper cites shades of gray.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding shades of gray

Reference 2012

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Observation 65099cc7-3a5d-4471-9d60-8fbfd04360bf · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 2016

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Observation 29809db2-ac7d-47d4-80eb-a7b15bf2f0d0 · outbound

This paper cites Probabilistic Concept Bottleneck Models.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding Probabilistic Concept Bottleneck Models

Reference 2017

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Observation 878d0a5e-d109-445b-bdbd-e51a4800f7ad · outbound

This paper cites X Liu, J Wu, X Luo, W Liao, S Zhang, and G Wang.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding X Liu, J Wu, X Luo, W Liao, S Zhang, and G Wang

Reference 2018

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Observation 49641d1b-4775-40c6-a75b-a7368f48152b · outbound

This paper cites RSVP: Reasoning Segmentation via Visual Prompting and Multi-modal Chain-of-Thought.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding RSVP: Reasoning Segmentation via Visual Prompting and Multi-modal Chain-of-Thought

Reference 2021

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Observation 925c418c-6fe1-4ced-9ea5-d2690aa64c1d · outbound

This paper cites Graph Concept Bottleneck Models.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding Graph Concept Bottleneck Models

Reference 2022

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Observation 7fef5ea9-8363-4f8a-a416-4eb174e71ff1 · outbound

This paper cites Integrating Clinical Knowl- edge into Concept Bottleneck Models.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding Integrating Clinical Knowl- edge into Concept Bottleneck Models

Reference 2023

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Observation 00ae4dd5-90a5-49d7-b925-ef7039d87f3c · outbound

This paper cites Label-Free Concept Bottleneck Models.

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding Label-Free Concept Bottleneck Models

Reference 2025

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Pith citing papers

No inbound Pith citation observations are available.