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Paper Citation Record · LEDGER

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2602.23297.

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

pith.paper-citation-record.v1
2602.23297 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:27:16.958007Z

measured 25 of 25 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.

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

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Reference resolution

25 of 25 outbound references displayed

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External citation measurements

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Outbound references

Observation 3377ba1c-9f7a-472e-84bb-551981689e83 · outbound

This paper cites PLOS Digital Health4(6), e0000877 (2025).

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM PLOS Digital Health4(6), e0000877 (2025)

Reference 1

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Observation 2e4f868c-1750-4226-b7f3-6202b5a9616c · outbound

This paper cites In: Proceedings of the Asian conference on computer vision.

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM In: Proceedings of the Asian conference on computer vision

Reference 2

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Observation 524be31a-a048-439b-948f-75e3cd97bda5 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 3

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Observation 8f042582-f370-4672-947b-720327d387f6 · outbound

This paper cites In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers).

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers)

Reference 4

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Observation e5c85f8d-9bc9-4988-b8b8-62cd004fc95d · outbound

This paper cites In: Interna- tional conference on medical image computing and computer-assisted intervention.

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM In: Interna- tional conference on medical image computing and computer-assisted intervention

Reference 5

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Observation e22adc9a-c524-4e53-aa24-46307e4a619a · outbound

This paper cites Iclr1(2), 3 (2022).

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM Iclr1(2), 3 (2022)

Reference 6

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Observation d8df48ce-4aff-4bd9-8c45-d473f8d86aad · outbound

This paper cites Clinical ModernBERT: An efficient and long context encoder for biomedical text.

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM Clinical ModernBERT: An efficient and long context encoder for biomedical text

Reference 7

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Observation 73cf08b3-6e95-40fd-80a9-f43ee5aafb72 · outbound

This paper cites Advances in Neural Information Processing Systems36, 28541–28564 (2023).

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM Advances in Neural Information Processing Systems36, 28541–28564 (2023)

Reference 8

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Observation f61d321d-a516-4ebd-ad7e-a8c569cddf58 · outbound

This paper cites NPJ Digital Medicine7(1), 181 (2024).

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM NPJ Digital Medicine7(1), 181 (2024)

Reference 9

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Observation 885a6e52-cadd-47a7-bf6d-d75c57022bf5 · outbound

This paper cites arXiv preprint arXiv:2511.15943 (2025).

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM arXiv preprint arXiv:2511.15943 (2025)

Reference 10

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Observation 4f0f3c03-a6f2-448c-b5f1-234d4fae19dc · outbound

This paper cites Effective clinical practice3(5) (2000) 10 Y.

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM Effective clinical practice3(5) (2000) 10 Y

Reference 11

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Observation 7d92f9db-36e1-4088-aaa5-7387b6a8641c · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 12

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Observation 7e9368f5-a27f-4bd2-825d-6631bcd386c5 · outbound

This paper cites IEEE Transactions on Medical Imaging 42(12), 3590–3601 (2023).

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM IEEE Transactions on Medical Imaging 42(12), 3590–3601 (2023)

Reference 13

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Observation 9749b6ca-721a-4451-bc47-d798377d2082 · outbound

This paper cites In: International conference on Machine learning.

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM In: International conference on Machine learning

Reference 14

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Observation 6ae84c69-bdab-4c39-b1ab-38bbf2c28c55 · outbound

This paper cites an unresolved cited work.

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM Unresolved cited work

Reference 15

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Observation 650e8a6f-0468-42c9-8c9b-24b12aabfd45 · outbound

This paper cites Data in Brief32(2020).

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM Data in Brief32(2020)

Reference 16

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Observation f0e50309-0aca-465c-a301-132a79086333 · outbound

This paper cites IEEE journal of biomedical and health informatics25(9), 3554–3563 (2021).

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM IEEE journal of biomedical and health informatics25(9), 3554–3563 (2021)

Reference 17

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Observation 97895748-b55c-4037-9b2f-90df81b2530b · outbound

This paper cites In: International conference on machine learning.

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM In: International conference on machine learning

Reference 18

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Observation cba7caca-92a2-4805-a387-1d28c1d37d8c · outbound

This paper cites Medical Image Analysis99, 103357 (2025).

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM Medical Image Analysis99, 103357 (2025)

Reference 19

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Observation 323c7d98-0c37-4159-8ac3-8caf63d2c8a6 · outbound

This paper cites DINOv3.

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM DINOv3

Reference 20

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Observation ca95e5c3-10e7-4336-895e-c7cfb96aaf7f · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems (2025).

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM IEEE Transactions on Neural Networks and Learning Systems (2025)

Reference 21

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Observation f3f66739-26e9-4d24-b1a6-355d0d74c70e · outbound

This paper cites In: Proceedings of the 2022 Conference on Empir- ical Methods in Natural Language Processing.

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM In: Proceedings of the 2022 Conference on Empir- ical Methods in Natural Language Processing

Reference 22

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Observation fd6565e3-0882-44f9-9c8c-179eea5b7eb1 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 23

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Observation f329fcc2-4c6d-4cb6-b2ea-b60f7418fdc7 · outbound

This paper cites Qwen3 Technical Report.

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM Qwen3 Technical Report

Reference 24

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Observation bdd73b20-8f69-41b4-8665-c82819707561 · outbound

This paper cites Advances in neural information processing systems37, 90683– 90713 (2024).

PRIMA: Pre-training with Risk-integrated Image-Metadata Alignment for Medical Diagnosis via LLM Advances in neural information processing systems37, 90683– 90713 (2024)

Reference 25

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Pith citing papers

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