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Paper Citation Record · LEDGER

MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 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 35 of 35 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:31:23.579124Z

measured 0 of 1 external citation measurements

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

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T10:42:22.378367Z digest=sha256:b6a44d4e2850b586fe91ca28058f80242cf82408a26a89dfad959f16f73c7e66

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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source=pdf_text observed=2026-05-23T18:02:49.355045Z digest=sha256:a5f16ce7ac5e606c8688402e81ab68fb9e37269e6a363692b862370b4cc71d36

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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source=pdf_text observed=2026-08-09T13:31:23.579124Z digest=sha256:ce7f7852a63f64c0bf5d90f3113f29825ad26ffb57623d624b69c4f08a34abb5

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:a0d553583f11934a9ea247d679e51c050946a499450fa9e5a8b598c8324ecffb

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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source=arxiv_source observed=2026-08-07T20:21:30.548871Z digest=sha256:8795be5cc9733f1158e0d630deae941736f16df7f5870dbdfcf3ef4fa4d955a5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T01:22:29.901174Z digest=sha256:02500d4126c1fe5bda14d05ba6dbacb48fdb813c2f12cf611a879d30cb273bc1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T23:08:34.301889Z digest=sha256:f0fc2bdd65edc218fa1856799ecceffd526f11742d747d4e50d29e96501ffcfe

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=sha256:0b0f562c6fe8bd259cc20802aac7a4f6fa90d9edd383850ded263345e32ecf83

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=sha256:4979dd991da757dd15b61a3d5f0bf7d92000df1ed8cedef4368f0e559c405262

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=sha256:4850f64d18159ed649c41a5727ffb625cc704945708401520fb090b8759f2f19

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=sha256:507869dda9b6cecf1f967084a3d6cb61a8ade877666c59838e9f463635deec7a

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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source=arxiv_source observed=2026-08-07T00:49:53.064874Z digest=sha256:bfd03fd025e441261b83613b90afa108a692b5362d8265c4a70db11db30dff95

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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source=pdf_text observed=2026-08-06T23:11:56.049975Z digest=sha256:2d1aab8b87561ceb202a5f44ef069f4edf43f990b2f9542b896fe22ad9ab775e

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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source=pdf_text observed=2026-08-06T22:58:50.249181Z digest=sha256:97ba1c4985fa69e57647db758c0b84fbd989d1175a18798a8c891d65bec5bbb5

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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source=pdf_text observed=2026-08-06T21:35:08.341032Z digest=sha256:1a2fd49776aabca1d5e76383e9b747e811e17e9340a72ae48d4538f19279cf1f

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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source=pdf_text observed=2026-08-06T20:56:09.184435Z digest=sha256:0f628ed54336336d4aae20508f65aec95f5905473ce0c0351e5189874a4a35aa

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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source=pdf_text observed=2026-08-06T18:54:39.724795Z digest=sha256:c1472480d780fa0fdccc0e4348e560aaf8871e213068a6dfd082dda80d7e238a

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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source=pdf_text observed=2026-08-06T16:42:42.348314Z digest=sha256:2794920b824f6c02932298b3d7fec5f0559a9c7d3becd065925b77144a8ad1ce

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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source=pdf_text observed=2026-08-06T15:07:35.467843Z digest=sha256:832c7c71483578a054e666a8d6eb7594b7ac578550085239e68b968fe0b545d3

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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source=pdf_text observed=2026-08-06T14:55:57.360836Z digest=sha256:f87e1512b426354dbbc11d21d613a2173318b3f11a5c84aa005eff225031313b

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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source=pdf_text observed=2026-08-06T14:52:30.355550Z digest=sha256:bf1083fec0b4c0b7e44dcc67fcee9cbf1687a24c4be16ed60f424c99c45ca244

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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source=pdf_text observed=2026-08-06T14:24:51.331392Z digest=sha256:a0fa5e0a735617b32fc1eb16d131023a908250b60b9e60e65441e944ef5a2a4f

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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source=pdf_text observed=2026-08-06T04:27:19.790775Z digest=sha256:97cf5b1c50762b92a82abba247657442315fb77c938ebda92700b6949cca5b01

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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source=arxiv_source observed=2026-08-06T04:28:30.820743Z digest=sha256:34fd89104aed405ef73ea4a04d6caf9879786d416ba3ff80fa718e54fc80cfcb

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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source=pdf_text observed=2026-08-04T19:48:40.583305Z digest=sha256:1827e3bdd71230d4daa49ae8a9ab1e297adfdcef46af6f65aaee260dd153037d

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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source=pdf_text observed=2026-08-04T17:56:56.080038Z digest=sha256:663958e9caa6b15eab77f972e7ce09993af14504fb874adede672ce96e3d1d3a

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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source=pdf_text observed=2026-08-04T17:33:43.303550Z digest=sha256:099aa9f1cd7f986302c7a9974dffe800e7c7bb4386645fb5e3c7bdadfc176698

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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T04:40:24.774730Z digest=sha256:cda6c855d55a8cf8a1448122b52c80c13ea367f5abe4cf24172fdef9cf7012db

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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T06:06:44.019029Z digest=sha256:4d112d8720d0328bd1f194c63a2d9a65c338aea5a70a69aef5669911b90809bb

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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T19:18:54.747828Z digest=sha256:bc148945eead8be0d5180504a90860a4ac14da0aa6961011c69a9bef922553f9

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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T06:35:24.410495Z digest=sha256:e2c572424287a01f5d05159f4a65470175d2cdbccb413846bb733e8470004e0e

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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T08:39:13.788280Z digest=sha256:bc290caefcdd0c26cfc5c7bd2aa7d37ff518f19bbeeecfde513a53e4593d803b

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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T06:53:59.441734Z digest=sha256:56197ae4e21dbbd181a949422e9e043c03ec599016586e227a1d5ea8af1cfbba

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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Source-reported events for the cited work

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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

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