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Paper Citation Record · LEDGER

MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 63 inbound Pith citation observations for arXiv:2210.10163.

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

pith.paper-citation-record.v1
2210.10163 v1

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measured 0 of 0 reference resolution

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measured 63 of 63 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 63 of 63 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:19:54.112689Z

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Source: arxiv_reference, observed 2026-07-04T10:39:45.257574Z

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Outbound references

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Pith citing papers

Observation 3dc620db-d759-4300-b93d-af601490496b · inbound

BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs cites this paper.

BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 30

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arxiv_id, observed 2026-05-13T10:42:22.429716Z

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Observation ce62523f-20ef-4334-b62a-8ccd2d5af4da · inbound

Navigating Distribution Shifts in Medical Image Analysis: A Survey cites this paper.

Navigating Distribution Shifts in Medical Image Analysis: A Survey MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 203

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arxiv_id, observed 2026-05-23T18:03:18.075289Z

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Observation 9019fa89-023b-46e1-aec1-781e67912003 · inbound

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations cites this paper.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 101

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source=arxiv_source observed=2026-08-12T19:30:14.722833Z digest=sha256:38b696d3d352215300833e5ef00fea860b0dae1bcb3e104e3d373ff155ce38b9

Observation 27285d44-3138-4d2c-8f04-3c940fb7a351 · inbound

D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification cites this paper.

D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 57

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source=pdf_text observed=2026-08-12T19:00:16.148200Z digest=sha256:2bddaae85c93ee3692d1e28de8c213292eb07396c4fe87b5a65f7582c6f1f032

Observation 15ae0ae3-b7ba-4203-9236-6e91d7744bf1 · inbound

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training cites this paper.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 36

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source=pdf_text observed=2026-08-12T14:11:55.908374Z digest=sha256:85fd7c4679b22668f0386af73b630236440a7d8c32fd145a6594496443b3606a

Observation d8cb753d-0417-4d74-8f61-2d7aeb660836 · inbound

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings cites this paper.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 5

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source=pdf_text observed=2026-08-12T13:30:52.098462Z digest=sha256:fa4d34f8421372a98bdb23ebf193ed93cf314207acb800d4433313df97030fbc

Observation 5056af2e-c820-463d-8d3c-96387f100943 · inbound

LQ-Adapter: ViT-Adapter with Learnable Queries for Gallbladder Cancer Detection from Ultrasound Image cites this paper.

LQ-Adapter: ViT-Adapter with Learnable Queries for Gallbladder Cancer Detection from Ultrasound Image MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 41

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source=pdf_text observed=2026-08-12T05:29:39.969727Z digest=sha256:2a1411f2ce0a699dfdbac60a3f4b6c8ae9ff6d34c9d014d49c03fd1d0c7947ac

Observation d8ad7152-db21-408c-8a55-867df9072f73 · inbound

Understanding Museum Exhibits using Vision-Language Reasoning cites this paper.

Understanding Museum Exhibits using Vision-Language Reasoning MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 82

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Observation a19880c1-35a6-494c-903c-571ae168c0f6 · inbound

Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions cites this paper.

Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 135

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Observation 52fdf5b5-ced7-41d2-9b4a-eaf2e934ae72 · inbound

UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection cites this paper.

UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 33

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source=pdf_text observed=2026-08-11T22:33:28.805652Z digest=sha256:a79e1e6dbf483f9a2fa89bb3f422448b9447ea4eea8729f81fbd5c3464390c13

Observation 48cf314a-95af-4893-b236-4ed6ce5122be · inbound

MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-training cites this paper.

MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-training MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 34

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source=pdf_text observed=2026-08-11T20:20:59.973160Z digest=sha256:cf4ad7cd6f3f774fd4121a2eb48803d3a1eeaf3d4192ff3edf5426acaee8ee8d

Observation dde06ef2-8311-47b9-98ff-33916e4441a2 · inbound

Language Model as Visual Explainer cites this paper.

Language Model as Visual Explainer MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 80

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source=pdf_text observed=2026-08-11T20:07:35.264243Z digest=sha256:871a306252216011efa446023c0d2c09304ceabb66005507967ea5e448f2299d

Observation 581374fe-b478-481d-a773-8ee9493f0ce5 · inbound

Intelligent Control of Robotic X-ray Devices using a Language-promptable Digital Twin cites this paper.

Intelligent Control of Robotic X-ray Devices using a Language-promptable Digital Twin MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 27

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Observation 853fad53-c40b-4a08-8436-1bfa07ba46e4 · inbound

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images cites this paper.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 57

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source=pdf_text observed=2026-08-11T16:40:07.201294Z digest=sha256:773dde5f42d76865653e8108a07e9108a91451a7ef923794f642a2719b892a90

Observation 11111534-86d2-44ec-b4c7-5ac5aefd925c · inbound

UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities cites this paper.

UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 84

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source=pdf_text observed=2026-08-11T15:59:09.183210Z digest=sha256:b0b01cf435047764e59c0992fa8406e1f79b29af71a77cd8c176af1e9a13f818

Observation 1e9a077d-7b9a-4252-8a37-8921c7a4c0d9 · inbound

Read Like a Radiologist: Efficient Vision-Language Model for 3D Medical Imaging Interpretation cites this paper.

Read Like a Radiologist: Efficient Vision-Language Model for 3D Medical Imaging Interpretation MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 2022

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source=pdf_text observed=2026-08-11T13:03:53.124311Z digest=sha256:3f12a0910d67aac53cd38ce0c92301e946b8f51876c6a1bfb581d17c792dc1df

Observation c5ee28e0-7c43-463a-80d9-324b121678a4 · inbound

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts cites this paper.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 41

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source=arxiv_source observed=2026-08-11T12:35:00.581798Z digest=sha256:f14c92de7f416c94324350af26b5d866b1771b065a7b5edfc5e8ec947c98d2df

Observation 2a6aa864-aa83-4193-8be3-efe843619fd7 · inbound

Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends cites this paper.

Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 201

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Observation 7b4f821d-991a-4063-88eb-4657062ec1fc · inbound

MedGrad E-CLIP: Enhancing Trust and Transparency in AI-Driven Skin Lesion Diagnosis cites this paper.

MedGrad E-CLIP: Enhancing Trust and Transparency in AI-Driven Skin Lesion Diagnosis MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 32

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Observation 02967711-aa19-430e-b45c-8a75ad0f454f · inbound

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment cites this paper.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 27

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source=pdf_text observed=2026-08-10T20:44:56.546261Z digest=sha256:89aec854780f36a98dadc35be9709b75a45c24516c52ce6c3a1ab91bd6bc99e2

Observation 8ad1278e-5828-4f00-ad50-a55d8667cae8 · inbound

SST-EM: Advanced Metrics for Evaluating Semantic, Spatial and Temporal Aspects in Video Editing cites this paper.

SST-EM: Advanced Metrics for Evaluating Semantic, Spatial and Temporal Aspects in Video Editing MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 28

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source=pdf_text observed=2026-08-10T20:42:31.815860Z digest=sha256:4772a319bb2e83e2b8630775025a28992139ce9a5969d57b09b6f82e698bc105

Observation 56963771-4b1f-4a09-b063-9b23686e942c · inbound

Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding cites this paper.

Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 13

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source=pdf_text observed=2026-08-10T15:05:46.476120Z digest=sha256:24ff14ff341029854f3456bca62b171bbd95774b0a597654217894f738070914

Observation d112de40-2b59-483d-96cc-89c28bbeda9f · inbound

FedEFM: Federated Endovascular Foundation Model with Unseen Data cites this paper.

FedEFM: Federated Endovascular Foundation Model with Unseen Data MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 27

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source=pdf_text observed=2026-08-10T05:19:04.001140Z digest=sha256:36ade021aaf69817feb58dd4bf8ebcc368a3028719f9cc0250b2e205e1dbb641

Observation bc515134-2ef0-4c9d-a8cb-eff19e78c61a · inbound

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models cites this paper.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 58

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Observation 1b6262e1-a63e-4795-bf68-b014091e4e23 · inbound

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models cites this paper.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 35

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source=pdf_text observed=2026-08-08T16:52:00.894811Z digest=sha256:9edbf262b53d3574bc47d4dee167fef759e634925935ff99a17d480b8ea6cd6a

Observation 854db43f-424c-431f-950b-1d22774d197a · inbound

HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation cites this paper.

HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 53

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Observation 650f6826-507d-4611-9a79-86a4a871e998 · inbound

Primus: Enforcing Attention Usage for 3D Medical Image Segmentation cites this paper.

Primus: Enforcing Attention Usage for 3D Medical Image Segmentation MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 76

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arxiv_id, observed 2026-05-23T01:25:16.559597Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d340e6ad-03a5-4e62-aff3-5a416f56b226 · inbound

Tables Guide Vision: Learning to See the Heart through Tabular Data cites this paper.

Tables Guide Vision: Learning to See the Heart through Tabular Data MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 37

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arxiv_id, observed 2026-05-22T23:12:14.638142Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7ffb0fba-852b-4a7e-bd28-250ad8fd5667 · inbound

Meta-Entity Driven Triplet Mining for Aligning Medical Vision-Language Models cites this paper.

Meta-Entity Driven Triplet Mining for Aligning Medical Vision-Language Models MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 49

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Observation 1f322652-c4fb-4534-96af-4645151642ed · inbound

CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck Models cites this paper.

CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck Models MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 15

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source=pdf_text observed=2026-08-16T05:20:36.913436Z digest=sha256:f5e6207cae29e0d9ac79f756027f191e6049aab8a3fb30db9e348bb591057dc9

Observation eeb9eb76-9ba0-445c-9183-14dc4453fe94 · inbound

Position: Restructuring of Categories and Implementation of Guidelines Essential for VLM Adoption in Healthcare cites this paper.

Position: Restructuring of Categories and Implementation of Guidelines Essential for VLM Adoption in Healthcare MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 68

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source=arxiv_source observed=2026-08-15T22:08:54.410577Z digest=sha256:5ac8af220f5295b5fafb1ad6c29a16f3d3ea76d72f14b14ccd04101a2e0322de

Observation 6fdd2f16-5734-48ce-a493-ac6b85ea37e4 · inbound

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? cites this paper.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 26

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source=pdf_text observed=2026-08-07T15:21:20.695492Z digest=sha256:d34bd6bce737fc4b6f2fec91f0cf95d21aa1e82091e74b036425233d16771e55

Observation 2adcce12-53b0-4766-8b63-22c875c78ae5 · inbound

Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation Models cites this paper.

Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation Models MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 23

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source=pdf_text observed=2026-08-07T14:09:16.737041Z digest=sha256:a54a5279a841e56adeba5d132384a2f52b3001e2c7c0125277a8219549904c09

Observation bb87e176-0ef2-41f6-97f3-7a66dfbe47fc · inbound

Enhancing Biomedical Multi-modal Representation Learning with Multi-scale Pre-training and Perturbed Report Discrimination cites this paper.

Enhancing Biomedical Multi-modal Representation Learning with Multi-scale Pre-training and Perturbed Report Discrimination MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 12

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source=pdf_text observed=2026-08-07T11:36:12.053292Z digest=sha256:cff90cdae021fdefa061ed7e27564f082eb736897078e9b256f93699ffa5f399

Observation 36519035-1bd7-44db-b392-e1f1dbf3ae4b · inbound

IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain cites this paper.

IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 54

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source=pdf_text observed=2026-08-07T04:28:47.915887Z digest=sha256:942ded48c8220bffdcb072152ca9013fe9fec7956e8a68084a528a396fb841b8

Observation cc6b7c98-4ad3-4690-830e-72c4c48c5f28 · inbound

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification cites this paper.

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 18

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no resolver link, observed 2026-08-07T00:49:53.064874Z

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source=arxiv_source observed=2026-08-07T00:49:53.064874Z digest=sha256:be3e52baed4fed3ff671b2fb23e61ffaf3bff3da50bb2ec371258e977c9dc609

Observation 2318cd51-29dc-462e-9e32-136d476f8ef6 · inbound

Time-Contrastive Pretraining for In-Context Image and Video Segmentation cites this paper.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 20

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no resolver link, observed 2026-08-15T19:03:51.342688Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:03:51.342688Z digest=sha256:5dc26be277ea42d10df4c88b53bbe64a9b702f2e34b3a6e87f23673096a3de5c

Observation 889a03bf-00f1-48da-bfe9-10a7bfc4df9e · inbound

Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review cites this paper.

Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 76

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no resolver link, observed 2026-08-15T18:52:30.378910Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:52:30.378910Z digest=sha256:ef96d74b1e2d0ab86f10046f4129af52aa105c111ff5d821327e11bd3e61a363

Observation a7aa78fe-e8b2-440c-8f22-e0015876edb9 · inbound

MOSCARD -- Causal Reasoning and De-confounding for Multimodal Opportunistic Screening of Cardiovascular Adverse Events cites this paper.

MOSCARD -- Causal Reasoning and De-confounding for Multimodal Opportunistic Screening of Cardiovascular Adverse Events MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 20

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no resolver link, observed 2026-08-06T23:11:56.049975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:11:56.049975Z digest=sha256:3034c12256ee4bfd38b841787c0d4b3eb002bd151d7c59513627c433a790a73a

Observation 1ea2afc7-0783-4365-870f-67641462176a · inbound

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement cites this paper.

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 22

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no resolver link, observed 2026-08-06T22:58:50.249181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:58:50.249181Z digest=sha256:fbc00e7ab6ef51f855b45c55fcc8bffa9d4015830f1d6f0776e7527165e51d33

Observation 61c18227-7c29-413d-95aa-a7da75ea3e51 · inbound

MadCLIP: Few-shot Medical Anomaly Detection with CLIP cites this paper.

MadCLIP: Few-shot Medical Anomaly Detection with CLIP MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 31

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no resolver link, observed 2026-08-06T21:35:08.341032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:35:08.341032Z digest=sha256:5d1f3a336cc4c8fbbcc64e4f4c0857eb1f728f3e599e733de629556043c24ff4

Observation 61ed4af2-9d60-46ed-9eaa-6e1c874950ec · inbound

Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound cites this paper.

Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 24

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no resolver link, observed 2026-08-06T20:56:09.184435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:56:09.184435Z digest=sha256:330b14fff4562e2be05f26fe86b6117edbb3cac399f4ec8dc11a532d1203dcfa

Observation 2ebdea38-8851-411f-b735-9746175109e0 · inbound

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation cites this paper.

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 29

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unresolved
no resolver link, observed 2026-08-06T18:54:39.724795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:39.724795Z digest=sha256:c41a8a5127194c6ea2471829f9dc2c5f9b472d08428bc38d2a019b5c8252a5d7

Observation 5e3055b4-0c73-4952-b753-c1b42f788c5c · inbound

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models cites this paper.

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 291

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no resolver link, observed 2026-08-06T16:42:42.348314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:42:42.348314Z digest=sha256:0ccf1637d433a9dd36f5ee770c351333dc67e998c497d9878d4b34026f47ce80

Observation 398e7cd7-12fd-4477-af08-efd6b7fd90ad · inbound

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation cites this paper.

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 55

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no resolver link, observed 2026-08-06T15:07:35.467843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:07:35.467843Z digest=sha256:d0e42cc8994730a1ec9546db6bd6fe01dae1d6deb15dc3f13606a69fe2f95a21

Observation aff12fe7-b991-4dca-bf16-c1df57f8ea86 · inbound

MaskedCLIP: Bridging the Masked and CLIP Space for Semi-Supervised Medical Vision-Language Pre-training cites this paper.

MaskedCLIP: Bridging the Masked and CLIP Space for Semi-Supervised Medical Vision-Language Pre-training MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 37

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no resolver link, observed 2026-08-06T14:55:57.360836Z

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source=pdf_text observed=2026-08-06T14:55:57.360836Z digest=sha256:4e6c9a0eead1f0b0b0e89c61ff8c2ed743c5dd1014ca25a1ed68b833bdb03cdd

Observation b3a9437b-054d-4430-b2b7-d30a91b6fa42 · inbound

LSDM: LLM-Enhanced Spatio-temporal Diffusion Model for Service-Level Mobile Traffic Prediction cites this paper.

LSDM: LLM-Enhanced Spatio-temporal Diffusion Model for Service-Level Mobile Traffic Prediction MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 46

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no resolver link, observed 2026-08-06T14:52:30.355550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:52:30.355550Z digest=sha256:77c4c151022ad2b9768060a3aff3b1964f9f8b6f2d407726ff4618a15328e71e

Observation 7543c27e-14dd-4920-87b1-ab34fb74de97 · inbound

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays cites this paper.

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 33

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no resolver link, observed 2026-08-06T14:24:51.331392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:24:51.331392Z digest=sha256:38de39d1a8d5a468383c706ce8332d8fb106ad3d93bb061ccc8a6e7c7a155024

Observation 76d55707-67bd-4bd9-9d39-2ed939832342 · inbound

Quality Versus Sparsity in Image Recovery by Dictionary Learning Using Iterative Shrinkage cites this paper.

Quality Versus Sparsity in Image Recovery by Dictionary Learning Using Iterative Shrinkage MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 27

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no resolver link, observed 2026-08-06T04:27:19.790775Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T04:27:19.790775Z digest=sha256:0eaae2ed592e51c8f2d077136df28e7df430407b5f264e667a7ca58900602f3e

Observation cc0574e7-9b79-4a62-b097-2449efccd337 · inbound

Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval cites this paper.

Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 27

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no resolver link, observed 2026-08-06T04:28:30.820743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:28:30.820743Z digest=sha256:b39f78351993a827a51251180205faff31e1249187adcf889ff84184d4f5d729

Observation 01177cf3-a637-4140-9d34-e6e716487ddb · inbound

Enhancing 3D Medical Image Understanding with Pretraining Aided by 2D Multimodal Large Language Models cites this paper.

Enhancing 3D Medical Image Understanding with Pretraining Aided by 2D Multimodal Large Language Models MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 51

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no resolver link, observed 2026-08-04T19:48:40.583305Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:48:40.583305Z digest=sha256:378363a6f27fe16354101f46e03c68c395400392c27325e3e1032b6dee1074ee

Observation 1fba0acb-f7ad-4c4e-9a11-1ec4d5d2e239 · inbound

GLAM: Geometry-Guided Local Alignment for Multi-View VLP in Mammography cites this paper.

GLAM: Geometry-Guided Local Alignment for Multi-View VLP in Mammography MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 30

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no resolver link, observed 2026-08-04T17:56:56.080038Z

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source=pdf_text observed=2026-08-04T17:56:56.080038Z digest=sha256:d0652fd86814466ff495b151b56796b5e4d52e9418da895575a84d5781f4f992

Observation 0e83633a-7a1f-4c2e-9cd8-5c2b67b83418 · inbound

Automated Radiology Report Generation Based on Topic-Keyword Semantic Guidance cites this paper.

Automated Radiology Report Generation Based on Topic-Keyword Semantic Guidance MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 8

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no resolver link, observed 2026-08-04T17:33:43.303550Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:33:43.303550Z digest=sha256:0fc0d4bbe89c63114f5fa8837e937e3f5ba58be12b32c594d98eeb02b254dccc

Observation 058d74b8-bb18-4032-9b91-ec07e9ac309c · inbound

Align then Refine: Text-Guided 3D Prostate Lesion Segmentation cites this paper.

Align then Refine: Text-Guided 3D Prostate Lesion Segmentation MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 10

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verified exact
arxiv_id, observed 2026-05-10T12:05:23.456051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T04:40:24.774730Z digest=sha256:4bb608cbe079302957e879398b9c13f50b1c2688e7bac027e08d1ccb0d5bc4f1

Observation 51745ee9-1039-4c5e-bd95-3d11c50cdfc7 · inbound

CheXTemporal: A Dataset for Temporally-Grounded Reasoning in Chest Radiography cites this paper.

CheXTemporal: A Dataset for Temporally-Grounded Reasoning in Chest Radiography MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 18

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verified exact
arxiv_id, observed 2026-05-13T06:07:22.245811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T06:06:44.019029Z digest=sha256:10b1c1db8eb5d3e859c604996d6a9ae331cd538bd32ebbe0d7ffc1fe212634e6

Observation 14dfa5c6-453a-43fb-98c7-6b5fd01988e3 · inbound

BiomedAP: A Vision-Informed Dual-Anchor Framework with Gated Cross-Modal Fusion for Robust Medical Vision-Language Adaptation cites this paper.

BiomedAP: A Vision-Informed Dual-Anchor Framework with Gated Cross-Modal Fusion for Robust Medical Vision-Language Adaptation MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 29

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verified exact
arxiv_id, observed 2026-05-20T19:23:41.066303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T19:18:54.747828Z digest=sha256:98289c9669f333c0d6e8d92a2b27ef82212c91af556acc11f4e11794fefaebb8

Observation c5582ec3-3109-4e7a-97f9-d7b3c6de0ec3 · inbound

MAM-CLIP: Vision-Language Pretraining on Mammography Atlases for BI-RADS Classification cites this paper.

MAM-CLIP: Vision-Language Pretraining on Mammography Atlases for BI-RADS Classification MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 12

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verified exact
arxiv_id, observed 2026-05-20T06:38:05.781589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T06:35:24.410495Z digest=sha256:11f29cc121e6201c061eb23a788924805a86f9458b5cca7c42c63050f3ab1633

Observation 0c13a4e7-23be-474d-a95b-b32dc9b0d95d · inbound

CADRE: Stable, Parameter Efficient Adaptation of Medical Vision Language Models with Bounded Forgetting and Prior Drift cites this paper.

CADRE: Stable, Parameter Efficient Adaptation of Medical Vision Language Models with Bounded Forgetting and Prior Drift MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 9

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metadata mismatch
arxiv_id, observed 2026-07-04T10:39:45.259417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T08:39:13.788280Z digest=sha256:19ea03fae30b29f78712bf70c046fc5179b1ed4cad307b276c79795ea687b12b

Observation 4cdd4e5f-b540-402d-b04b-ae6a3b457fcd · inbound

UniVAD v2: Unified Visual Anomaly Detection via Support-Conditioned Boundary Construction cites this paper.

UniVAD v2: Unified Visual Anomaly Detection via Support-Conditioned Boundary Construction MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 48

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verified exact
arxiv_id, observed 2026-06-30T06:54:20.088546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T06:53:59.441734Z digest=sha256:f6d22462e8ddc9a56118c50a3bb34b40535f358b52015940f54c1b8799e365f2

Observation 0689525a-f50c-4f24-ac16-dd519279305f · inbound

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring cites this paper.

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 42

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no resolver link, observed 2026-07-11T04:45:22.224582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T04:45:22.224582Z digest=sha256:9bbc8dd858063a64e56197da51e70a1b19353183f98e5eea0967ec1992079cb2

Observation 8c2c9e2e-cdd7-42df-ac98-5c2de0407295 · inbound

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement cites this paper.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 122

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no resolver link, observed 2026-08-05T10:23:59.134724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:59.134724Z digest=sha256:9763b1113ee8100f91c572df6ccd969212bd302c59806f344c7d22bc23f5d913

Observation f3618076-8621-4256-8a43-9a5017eb3272 · inbound

UniMod: Enhancing Multi-Modal Medical Diagnosis through Cross-Modality and Within-Modality Alignment cites this paper.

UniMod: Enhancing Multi-Modal Medical Diagnosis through Cross-Modality and Within-Modality Alignment MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 61

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no resolver link, observed 2026-08-14T04:13:54.771872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:13:54.771872Z digest=sha256:6cbab54a957ff3e0a6dc17af26b231eb9aaee68da04eb22e52b4573b3d894a17

Observation db314c61-1f11-4510-9c40-18ecc2f68899 · inbound

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation cites this paper.

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 25

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no resolver link, observed 2026-08-16T00:31:15.445063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:31:15.445063Z digest=sha256:25f9b6f0835d61893863fd1a1e65ac5559f772665bc699dd744fefab3037be51