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Paper Citation Record · LEDGER

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification

As of 9 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2505.14049.

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

pith.paper-citation-record.v1
2505.14049 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:35.960552Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

28 of 28 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 15ca00a6-f5aa-43ba-a483-368318cf62a4 · outbound

This paper cites Data in Brief30, 105474 (2020).

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification Data in Brief30, 105474 (2020)

Reference 1

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Observation 1d727746-a982-44d6-a64c-d60ea94e4f3e · outbound

This paper cites In: International Conference on Machine Learning (2023).

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification In: International Conference on Machine Learning (2023)

Reference 2

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Observation 8d658cab-202d-463f-b39d-94e5b38b5b59 · outbound

This paper cites Elsevier (2017).

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification Elsevier (2017)

Reference 3

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Observation 5c23334a-b1b2-4e50-9d04-59c520f0398e · outbound

This paper cites Science advances 8(31) (2022).

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification Science advances 8(31) (2022)

Reference 4

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Observation 77961efe-e810-4327-a2ac-133f0d45c6ce · outbound

This paper cites In: Neural Information Processing Systems (2022).

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification In: Neural Information Processing Systems (2022)

Reference 5

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Observation 1abf33b8-b814-4a29-84a2-4331fcc15893 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence45(4), 4321–4334 (2023).

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification IEEE Transactions on Pattern Analysis and Machine Intelligence45(4), 4321–4334 (2023)

Reference 6

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Observation d5d9ea60-1143-4315-a98b-fdd406079f85 · outbound

This paper cites In: Ad- vances in Neural Information Processing Systems.

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification In: Ad- vances in Neural Information Processing Systems

Reference 7

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Observation 09c66506-cab2-4535-99e0-ccdae55804c5 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer Assisted Intervention (2024).

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification In: International Conference on Medical Image Computing and Computer Assisted Intervention (2024)

Reference 8

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Observation 0eb913a6-922c-4d39-8cea-c1a12f3f2bdf · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 9

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Observation c80745a4-0b83-44d5-8aca-be41a89cbd8b · outbound

This paper cites In: Advances in Neural Information Processing Systems.

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification In: Advances in Neural Information Processing Systems

Reference 10

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Observation d8ce53af-a642-4be4-b694-6dc5f61d4c8d · outbound

This paper cites Nature Methods 18(2), 203–211 (2021).

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification Nature Methods 18(2), 203–211 (2021)

Reference 11

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Observation 92c1de0e-0b40-4952-972d-8a7026bc17ca · outbound

This paper cites In: Proceedings of the 37th International Conference on Machine Learning.

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification In: Proceedings of the 37th International Conference on Machine Learning

Reference 12

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Observation dda02fb8-16a3-4d63-9a58-01a97064369e · outbound

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

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

Reference 13

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Observation 89d68eca-455b-40d3-865e-3c7264f0895f · outbound

This paper cites Nature Communications15, 654 (2024).

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification Nature Communications15, 654 (2024)

Reference 14

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Observation 722369bb-8e35-455e-a6da-3dec3f4491bf · outbound

This paper cites Promises and Pitfalls of Black-Box Concept Learning Models.

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification Promises and Pitfalls of Black-Box Concept Learning Models

Reference 15

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Source-reported events for the cited work

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Observation 65dc1a40-44da-47e8-941f-2918673e6636 · outbound

This paper cites Gao et al.

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification Gao et al

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6e177eea-0beb-4fb0-9b85-00238e2e63e0 · outbound

This paper cites In: International Conference on Learning Representations (2023).

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification In: International Conference on Learning Representations (2023)

Reference 17

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Observation 14ba3974-3387-424e-a157-bb994f0cd69b · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) (2024).

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) (2024)

Reference 18

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Observation eb85dcb6-a9ec-425e-b361-9ca3ceeac278 · outbound

This paper cites Learning Algorithms via Neural Logic Networks.

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification Learning Algorithms via Neural Logic Networks

Reference 19

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Observation f1352b1e-fa0f-4401-9098-350d9822e1f5 · outbound

This paper cites Nature Machine Intelligence1(5), 206–215 (2019).

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification Nature Machine Intelligence1(5), 206–215 (2019)

Reference 20

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This paper cites Best of both worlds: local and global explanations with human-understandable concepts.

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification Best of both worlds: local and global explanations with human-understandable concepts

Reference 21

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Observation 5859ca6e-4c7b-4067-8475-224eadd22631 · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS).

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification In: Advances in Neural Information Processing Systems (NeurIPS)

Reference 22

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Observation cdc4e483-4374-4c75-a998-3b8c8b2573af · outbound

This paper cites Food and Drug Administration: Transparency for machine learning-enabled medical devices: Guiding principles (2024).

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification Food and Drug Administration: Transparency for machine learning-enabled medical devices: Guiding principles (2024)

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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This paper cites Medical Image Analysis 79, 102470 (2022).

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification Medical Image Analysis 79, 102470 (2022)

Reference 24

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Observation be2d98a2-e36f-43cb-a9e9-357113696514 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence 46(02), 1121–1133 (2024).

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification IEEE Transactions on Pattern Analysis and Machine Intelligence 46(02), 1121–1133 (2024)

Reference 25

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Observation b3a34fc7-ac3e-42be-9e89-ab418ecea0d3 · outbound

This paper cites In: International Conference on Learning Representations (2023).

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification In: International Conference on Learning Representations (2023)

Reference 26

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Source-reported events for the cited work

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Observation fdc4356a-d564-41c8-a803-756b887bbd74 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 27

Resolution
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Source-reported events for the cited work

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Observation 1052050f-b512-41c5-9f79-482065d0caaa · outbound

This paper cites IEEE Transactions on Emerging Topics in Computational Intelligence 5(5), 726–742 (2021).

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification IEEE Transactions on Emerging Topics in Computational Intelligence 5(5), 726–742 (2021)

Reference 28

Resolution
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Pith citing papers

No inbound Pith citation observations are available.