Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-09T02:59:56.503584Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 100 of 106 outbound references and 0 inbound Pith citation observations for arXiv:2607.07673.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-09T02:59:56.503584Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 106 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 4a223479-4518-4480-81c9-815403d5614c · outbound
MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models N., Falcone, G
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MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models InProceedings of the AAAI conference on artificial intelligence, vol
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MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models Ai-readi: rethinking ai data collection, preparation and sharing in diabetes research and beyond.Nat
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MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models Are Multimodal LLMs Ready for Clinical Dermatology? A Real-World Evaluation in Dermatology
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MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models Medicine1–9 (2026)
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MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models D.et al.Addressing barriers in fair data practices for biomedical data.Sci
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MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models InInternational Conference on Medical Image Computing and Computer-Assisted Intervention, 525–536 (Springer, 2023)
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MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models InProceedings of the Computer Vision and Pattern Recognition Conference, 19724–19735 (2025)
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MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models In International conference on machine learning, 8748–8763 (PmLR, 2021)
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MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models M.et al.Multimodal generative ai for medical image interpretation.Nature639, 888–896 (2025)
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MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models Artificial intelligence in clinical medicine: challenges across diagnostic imaging, clinical decision support, surgery, pathology, and drug discovery.Clin
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MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models M.et al.A clinically accessible small multimodal radiology model and evaluation metric for chest x-ray findings.Nat
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Reference 71
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Reference 100
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