Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T12:29:50.329921Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 2 inbound Pith citation observations for arXiv:2509.01554.
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 2026-08-05T12:29:50.329921Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T06:26:15.397248Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T08:39:42.317139Z
31 of 31 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation c9f01c67-46b2-4be2-8c81-5e915db4d451 · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models
Reference 1
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Observation 98b114d0-d446-4962-a2eb-bd5bfa7d0c3c · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Merlin: A vision language foundation model for 3d computed tomography.arXiv preprint arXiv:2406.06512, 2024
Reference 2
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Observation 69ec7f8d-fe51-480c-a2bb-c0d9731a8b4b · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography 3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models
Reference 3
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Observation ea931a47-c470-4eed-9395-81bc447e44e2 · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes.Medical image analysis, 67:101857, 2021
Reference 4
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Observation 94c3b252-b63e-4617-a418-8ce704894d65 · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Domain-specific language model pretraining for biomedical natural language processing.ACM Transactions on Computing for Healthcare (HEALTH), 3(1):1–23, 2021
Reference 5
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Observation 01fe50c5-36a2-4c28-adae-442454b4817c · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Developing generalist foundation models from a multimodal dataset for 3d computed tomography.arXiv preprint arXiv:2403.17834, 2024
Reference 6
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Observation 0447330e-d74f-44d1-a07c-882bbaa6efa5 · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Joint segmentation and classification of skin lesions via a multi-task learning convolutional neural network
Reference 7
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Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition
Reference 8
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Observation 02d04536-5715-42ea-9c01-999e63e73731 · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Inspect: a multimodal dataset for patient outcome prediction of pulmonary embolisms.Advances in Neural Information Processing Systems, 36:17742–17772, 2023
Reference 9
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Observation 55f9b411-c2c8-4990-986e-73a7c53fbed4 · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
Reference 10
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Observation f7aca68c-e8b6-4ac2-8fef-2ccf05d581bf · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
Reference 11
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Observation c722d88e-ced4-4541-b559-016081e4c178 · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model
Reference 12
Source-reported events for the cited work
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Observation 24d3a096-5b5f-465c-b573-9ce7c638ab7b · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Towards Universal Text-driven CT Image Segmentation
Reference 13
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Observation 34192098-1b77-46e5-8b25-1d7452938647 · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Focal loss for dense object detection
Reference 14
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Observation 8e7fb4d6-73d8-4865-9021-7023ff9c2bca · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Automatic joint segmentation and classification of breast ultrasound images via multi-task learning with object contextual attention.Frontiers in Oncology, 15:1567577, 2025
Reference 15
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Observation 6cbc207b-eb7e-4e31-9534-8fbab8239be4 · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Y -net: joint segmentation and classification for diagnosis of breast biopsy images
Reference 16
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Observation d701521b-c836-4eba-a352-ec26849ea807 · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography A large-scale evaluation of automatic pulmonary nodule detection in chest ct using local image features and k-nearest-neighbour classification
Reference 17
Source-reported events for the cited work
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Observation 456a51e6-c3c8-4ca9-ac6e-2006d1c600c2 · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Learning transferable visual models from natural language supervision
Reference 18
Source-reported events for the cited work
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Observation 997ed41e-74eb-4cc3-9148-311efbcffedf · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography 3d convolutional neural networks for stalled brain capillary detection
Reference 19
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Observation 51b1e985-1725-44b1-aaf1-b115ad478410 · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Efficientnet: Rethinking model scaling for convolutional neural networks
Reference 20
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Observation 5aac79e3-b27c-4b6a-b112-edcccfba90ab · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Medclip: Contrastive learning from unpaired medical images and text
Reference 21
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Observation 7bf6170a-8f84-4551-8e79-dcd054d90bc3 · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography T otalseg- mentator: robust segmentation of 104 anatomic structures in ct images
Reference 22
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Observation 7e45f5ae-5c2b-414d-a2c7-0db942c22f00 · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Navigating data scarcity using foundation models: A benchmark of few-shot and zero-shot learning approaches in medical imaging
Reference 23
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Observation 4ccbc59d-e9f0-4cfa-9910-72b37cbd219e · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data
Reference 24
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Observation d90a29e5-f704-4083-8fe9-0db964224adc · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretation
Reference 25
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Observation 033b8a5d-d653-4fbe-9784-73181d7cc560 · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography A large language model for electronic health records.NPJ digital medicine, 5(1): 194, 2022
Reference 26
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Observation 29c20ab6-013f-4e01-a00c-ddca87d198c5 · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Evaluating progress in automatic chest x-ray radiology report generation
Reference 27
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Observation 8d69d8d3-8cb2-47f9-a58e-101024da15be · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography UMIT: Unifying Medical Imaging Tasks via Vision-Language Models
Reference 28
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Observation e5ada4e5-c073-4483-b787-c5c5e95b426c · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
Reference 29
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Observation 9187d00c-e273-4219-bc57-f00f075d9705 · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Knowledge-enhanced visual-language pre-training on chest radiology images
Reference 30
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Observation d7cd701d-e306-4083-8cfb-8f7d4357212d · outbound
Unified Supervision For Vision-Language Modeling in 3D Computed Tomography Mediclip: Adapting clip for few-shot medical image anomaly detection
Reference 31
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Observation a24af911-f5c3-4e11-b7b5-07beb8ea6617 · inbound
ORACLE-CT: Anatomy-Aware Support Pooling for CT Classification Unified Supervision For Vision-Language Modeling in 3D Computed Tomography
Reference 22
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Observation ba1abf82-f8ab-48c0-b125-086ca049f069 · inbound
Efficient Multimodal Clinical Question Answering for Pulmonary Embolism Risk Assessment Unified Supervision For Vision-Language Modeling in 3D Computed Tomography
Reference 32
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