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Paper Citation Record · LEDGER

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model

As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2510.04281.

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

pith.paper-citation-record.v1
2510.04281 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:32:03.720711Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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.

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

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Outbound references

Observation a70771de-4864-4b86-88d5-10e70f764732 · outbound

This paper cites Retinal vascular caliber, cardiovascular risk factors, and inflammation: the multi-ethnic study of atherosclerosis (mesa),.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Retinal vascular caliber, cardiovascular risk factors, and inflammation: the multi-ethnic study of atherosclerosis (mesa),

Reference 1

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Observation 24d8d5c5-091d-4a62-b0d6-dd587706e650 · outbound

This paper cites Quantification of nerve fiber layer thickness in normal and glaucomatous eyes using optical coherence tomography: a pilot study,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Quantification of nerve fiber layer thickness in normal and glaucomatous eyes using optical coherence tomography: a pilot study,

Reference 2

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Observation d6eb0de0-2300-4202-b34a-01f9f6541e23 · outbound

This paper cites Retinal arteriolar diameter and risk for hypertension,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Retinal arteriolar diameter and risk for hypertension,

Reference 3

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Observation ba43517a-d734-44ae-9663-304f3ea1e6bd · outbound

This paper cites Retinal nerve fiber layer thickness in patients with alzheimer disease,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Retinal nerve fiber layer thickness in patients with alzheimer disease,

Reference 4

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Observation afbd9220-ba1d-4a3a-be00-3dbbe976dcf3 · outbound

This paper cites Retinal imaging in the twenty-first century: state of the art and future directions,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Retinal imaging in the twenty-first century: state of the art and future directions,

Reference 5

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Observation 05dec4d0-47d7-4246-a952-cc1562edb24c · outbound

This paper cites Automorph: automated retinal vascular morphology quantification via a deep learning pipeline,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Automorph: automated retinal vascular morphology quantification via a deep learning pipeline,

Reference 6

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Observation ac17214e-fca1-4552-a60a-f21bc773f3f8 · outbound

This paper cites A foundation model for generalizable disease detection from retinal images,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model A foundation model for generalizable disease detection from retinal images,

Reference 7

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Observation dd99d9cb-2676-4cc0-a94e-d0315e77992d · outbound

This paper cites Common and rare fundus diseases identification using vision-language foundation model with knowledge of over 400 diseases,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Common and rare fundus diseases identification using vision-language foundation model with knowledge of over 400 diseases,

Reference 8

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Observation 2377c2b1-db10-4970-b118-34efc0a262a8 · outbound

This paper cites Llava-med: Training a large language-and-vision assistant for biomedicine in one day,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Llava-med: Training a large language-and-vision assistant for biomedicine in one day,

Reference 9

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Observation 802ed336-42ff-4db7-8c7b-dddef2bf543c · outbound

This paper cites Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Reference 10

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Observation c9fc2ea6-3399-4b17-8fbb-fa4c29ceb4ab · outbound

This paper cites OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue

Reference 11

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Observation ecc86d07-3f9b-4d33-a12e-0a1e5e7c1dfa · outbound

This paper cites Specialized curricula for training vision-language models in retinal image analysis.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Specialized curricula for training vision-language models in retinal image analysis

Reference 12

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Observation 17200ef1-c807-424a-a198-8eeb7092326d · outbound

This paper cites Bilinear attention networks,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Bilinear attention networks,

Reference 13

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Observation 9cdbea01-c88c-497a-8a1d-d2eae87ab634 · outbound

This paper cites Deep modular co-attention networks for visual question answering,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Deep modular co-attention networks for visual question answering,

Reference 14

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Observation 6a11e097-0150-422b-9d9f-446721ae2bca · outbound

This paper cites Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks,

Reference 15

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Observation 0e7fe13d-e1b6-451f-a559-929b25462ee0 · outbound

This paper cites Uniter: Universal image-text representation learning,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Uniter: Universal image-text representation learning,

Reference 16

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Observation 02ca302e-258c-4b24-a946-caa4c234929f · outbound

This paper cites Multi- modal understanding and generation for medical images and text via vision-language pre-training,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Multi- modal understanding and generation for medical images and text via vision-language pre-training,

Reference 17

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Observation c5904a43-54fe-45d1-92e2-20763a9711d6 · outbound

This paper cites Learning to exploit temporal structure for biomedical vision-language processing,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Learning to exploit temporal structure for biomedical vision-language processing,

Reference 18

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Observation c24e665a-22fe-47b7-9550-d1d876658ddd · outbound

This paper cites Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,

Reference 19

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Observation 589b1e7e-d8d5-4d87-ab33-e13cd69ab9a5 · outbound

This paper cites Visual instruction tuning,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Visual instruction tuning,

Reference 20

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Observation 22c436af-fc4b-4621-a0c6-4f087a14f8f2 · outbound

This paper cites Gem: Empowering mllm for grounded ecg understanding with time series and images,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Gem: Empowering mllm for grounded ecg understanding with time series and images,

Reference 21

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Observation 00dfb8c8-cde2-48a9-a520-b840d28b5a6a · outbound

This paper cites Qwen2.5-VL Technical Report.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Qwen2.5-VL Technical Report

Reference 22

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Observation 8c3830da-0876-40c3-b79a-105f4121d13b · outbound

This paper cites Evaluation of retinal image quality assessment networks in different color-spaces,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Evaluation of retinal image quality assessment networks in different color-spaces,

Reference 23

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Observation 28ce2f58-3a33-4c30-a7a4-ffecc112166e · outbound

This paper cites Deep residual learning for image recognition,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Deep residual learning for image recognition,

Reference 24

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Observation 81595066-b315-483d-b9c0-c6dfd646f1fb · outbound

This paper cites nnu-net: a self-configuring method for deep learning-based biomedical image segmentation,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model nnu-net: a self-configuring method for deep learning-based biomedical image segmentation,

Reference 25

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Observation d689f94a-3365-4de6-b5c9-dcd567f41cb0 · outbound

This paper cites Graph-based region and boundary aggregation for biomedical image segmentation,.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Graph-based region and boundary aggregation for biomedical image segmentation,

Reference 26

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Observation 37094538-b6cc-4d56-a730-73334d089f0a · outbound

This paper cites Is ChatGPT a Good NLG Evaluator? A Preliminary Study.

RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model Is ChatGPT a Good NLG Evaluator? A Preliminary Study

Reference 27

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