Paper Citation Record · LEDGER

Chest X-ray Foundation Model with Global and Local Representations Integration

As of 11 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2502.05142.

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

pith.paper-citation-record.v1
2502.05142 v2

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:14:13.598291Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:14:14.037644Z

Reference resolution

58 of 58 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2fafe7bb-0bd6-478e-9731-ef0787e5c0bc · outbound

This paper cites Interpretation of plain chest roentgenogram,.

Chest X-ray Foundation Model with Global and Local Representations Integration Interpretation of plain chest roentgenogram,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:10:53.240970Z

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Observation dba7adc9-7a62-4984-adae-305876af0bd4 · outbound

This paper cites Deep learning to estimate cardiovascular risk from chest radiographs,.

Chest X-ray Foundation Model with Global and Local Representations Integration Deep learning to estimate cardiovascular risk from chest radiographs,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:10:53.227245Z

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Observation fe0fb3c8-61fe-4bcb-837a-58fb51175cf4 · outbound

This paper cites Cardiovascular disease detection from multi-view chest x-rays with bi-mamba,.

Chest X-ray Foundation Model with Global and Local Representations Integration Cardiovascular disease detection from multi-view chest x-rays with bi-mamba,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:10:53.212397Z

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Observation e5a470e7-a0c9-454e-92f1-1c721ad25e6e · outbound

This paper cites Deep learning to estimate lung disease mortality from chest radiographs,.

Chest X-ray Foundation Model with Global and Local Representations Integration Deep learning to estimate lung disease mortality from chest radiographs,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:10:53.197118Z

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Observation 55781622-d8f2-4618-b959-4882c240e788 · outbound

This paper cites Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs,.

Chest X-ray Foundation Model with Global and Local Representations Integration Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:10:53.182610Z

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Observation 419d58cd-042a-4fb3-b2bb-c069ef9c7d42 · outbound

This paper cites An empirical study of training self- supervised vision transformers,.

Chest X-ray Foundation Model with Global and Local Representations Integration An empirical study of training self- supervised vision transformers,

Reference 6

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Observation 97f37592-b705-4d35-8c27-e9233f170d4a · outbound

This paper cites Masked au- toencoders are scalable vision learners,.

Chest X-ray Foundation Model with Global and Local Representations Integration Masked au- toencoders are scalable vision learners,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T20:10:52.181701Z

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Observation 73233b6a-0e78-4336-9eaa-63a163503707 · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

Chest X-ray Foundation Model with Global and Local Representations Integration Emerging properties in self-supervised vision transformers,

Reference 8

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Observation f7c62d5e-d61c-4595-a24c-797f544662e4 · outbound

This paper cites iBOT: Image BERT Pre-Training with Online Tokenizer.

Chest X-ray Foundation Model with Global and Local Representations Integration iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 9

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Observation 2d7243ce-96b5-4e61-b32d-0c3814230855 · outbound

This paper cites Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging,.

Chest X-ray Foundation Model with Global and Local Representations Integration Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging,

Reference 10

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Observation 1da463f0-6801-498b-b206-bd60c4ca83ba · outbound

This paper cites EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning.

Chest X-ray Foundation Model with Global and Local Representations Integration EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning

Reference 11

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Observation 4f67788f-7cce-431a-a901-efd71714828d · outbound

This paper cites Exploring scalable medical image encoders beyond text supervision,.

Chest X-ray Foundation Model with Global and Local Representations Integration Exploring scalable medical image encoders beyond text supervision,

Reference 12

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Observation ea7e8b21-4fc1-4636-8581-acae80cb2dd7 · outbound

This paper cites Expert-level detection of pathologies from unannotated chest x-ray images via self-supervised learning,.

Chest X-ray Foundation Model with Global and Local Representations Integration Expert-level detection of pathologies from unannotated chest x-ray images via self-supervised learning,

Reference 13

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Observation d33e7add-140d-4847-8b23-2a1f9b772f7b · outbound

This paper cites Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports,.

Chest X-ray Foundation Model with Global and Local Representations Integration Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports,

Reference 14

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Observation 9e3c14f5-9122-469d-9471-fbd3260c7c4e · outbound

This paper cites Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison,.

Chest X-ray Foundation Model with Global and Local Representations Integration Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison,

Reference 15

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Observation 2c251305-16ee-4f05-8fdc-ebeb4a42f151 · outbound

This paper cites Padchest: A large chest x-ray image dataset with multi-label annotated reports,.

Chest X-ray Foundation Model with Global and Local Representations Integration Padchest: A large chest x-ray image dataset with multi-label annotated reports,

Reference 16

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Observation 6a047561-fd14-403e-8c6a-1acc0d65edd3 · outbound

This paper cites Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases,.

Chest X-ray Foundation Model with Global and Local Representations Integration Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases,

Reference 17

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Observation 3fd68fab-2f50-4350-b7ef-7bc184a2df4d · outbound

This paper cites Brax, brazilian labeled chest x-ray dataset,.

Chest X-ray Foundation Model with Global and Local Representations Integration Brax, brazilian labeled chest x-ray dataset,

Reference 18

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Observation 0ba8d44d-034a-4477-b2ac-8a261de8c090 · outbound

This paper cites Curation of the candid-ptx dataset with free-text reports,.

Chest X-ray Foundation Model with Global and Local Representations Integration Curation of the candid-ptx dataset with free-text reports,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:10:53.053969Z

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Observation e02765db-46ec-4929-b35d-6775e6fdc4ff · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Chest X-ray Foundation Model with Global and Local Representations Integration DINOv2: Learning Robust Visual Features without Supervision

Reference 20

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Observation bd7139de-7bf6-451c-9076-2b35f9185dd5 · outbound

This paper cites CXR-LT 2024: Long-tailed, multi-label, and zero- shot classification on chest X-rays,.

Chest X-ray Foundation Model with Global and Local Representations Integration CXR-LT 2024: Long-tailed, multi-label, and zero- shot classification on chest X-rays,

Reference 21

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Observation fae78386-6e02-4b07-a702-3a6129533252 · outbound

This paper cites Lung cancer screening in the randomized prostate, lung, colorectal, and ovarian (plco) cancer screening trial,.

Chest X-ray Foundation Model with Global and Local Representations Integration Lung cancer screening in the randomized prostate, lung, colorectal, and ovarian (plco) cancer screening trial,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:10:53.038972Z

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Observation b393fd49-379e-4b8b-bcdc-a7cc9df1bc79 · outbound

This paper cites Vindr-cxr: An open dataset of chest x-rays with radiologist’s annotations,.

Chest X-ray Foundation Model with Global and Local Representations Integration Vindr-cxr: An open dataset of chest x-rays with radiologist’s annotations,

Reference 23

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Observation 8eade645-93a5-405d-b9a4-85d8b1595937 · outbound

This paper cites Ranzcr clip - catheter and line position challenge,.

Chest X-ray Foundation Model with Global and Local Representations Integration Ranzcr clip - catheter and line position challenge,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:10:53.013808Z

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Observation fb034314-a460-4e38-b273-84d58fc1c344 · outbound

This paper cites VinDr-RibCXR: A Benchmark Dataset for Automatic Segmentation and Labeling of Individual Ribs on Chest X-rays.

Chest X-ray Foundation Model with Global and Local Representations Integration VinDr-RibCXR: A Benchmark Dataset for Automatic Segmentation and Labeling of Individual Ribs on Chest X-rays

Reference 25

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Observation 483deccc-9d7c-4c3d-837f-efa1b8ef4890 · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

Chest X-ray Foundation Model with Global and Local Representations Integration BEiT: BERT Pre-Training of Image Transformers

Reference 26

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Observation 96dbebbd-1bb7-4004-975e-3d7f2e196122 · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Chest X-ray Foundation Model with Global and Local Representations Integration A simple framework for contrastive learning of visual representations,

Reference 27

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Observation aa53f888-0530-4660-801a-824611d36763 · outbound

This paper cites Towards a general-purpose foundation model for computational pathology,.

Chest X-ray Foundation Model with Global and Local Representations Integration Towards a general-purpose foundation model for computational pathology,

Reference 28

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Observation 0e40c93c-131b-4a34-a8cb-7cdaa83a8838 · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning,.

Chest X-ray Foundation Model with Global and Local Representations Integration Bootstrap your own latent-a new approach to self-supervised learning,

Reference 29

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Observation b50c159b-46e0-437f-955a-936734693fd0 · outbound

This paper cites CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning.

Chest X-ray Foundation Model with Global and Local Representations Integration CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Reference 30

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Observation 529adf85-313b-4e7f-b905-77b292f362ed · outbound

This paper cites Chex- transfer: performance and parameter efficiency of imagenet models for chest x-ray interpretation,.

Chest X-ray Foundation Model with Global and Local Representations Integration Chex- transfer: performance and parameter efficiency of imagenet models for chest x-ray interpretation,

Reference 31

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Observation aac089a5-b75a-44cc-bf6f-5a759a01a542 · outbound

This paper cites Medaug: Contrastive learning leveraging patient metadata improves representations for chest x-ray interpretation,.

Chest X-ray Foundation Model with Global and Local Representations Integration Medaug: Contrastive learning leveraging patient metadata improves representations for chest x-ray interpretation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:10:52.942777Z

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Observation a177631d-446b-4d7c-82df-6ab45369e393 · outbound

This paper cites Moco pretraining improves representation and transferability of chest x-ray models,.

Chest X-ray Foundation Model with Global and Local Representations Integration Moco pretraining improves representation and transferability of chest x-ray models,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:10:52.927642Z

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Observation c96e94d6-e035-4f25-b17d-a5460c6bc044 · outbound

This paper cites Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning.

Chest X-ray Foundation Model with Global and Local Representations Integration Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning

Reference 34

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Observation 16506303-6950-426f-8f66-2c93a237704f · outbound

This paper cites Delving into masked autoen- coders for multi-label thorax disease classification,.

Chest X-ray Foundation Model with Global and Local Representations Integration Delving into masked autoen- coders for multi-label thorax disease classification,

Reference 35

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Observation 06bc1bb0-20eb-4d3d-9dc0-6bf959ed92ee · outbound

This paper cites Foundation ark: Accruing and reusing knowledge for superior and robust performance,.

Chest X-ray Foundation Model with Global and Local Representations Integration Foundation ark: Accruing and reusing knowledge for superior and robust performance,

Reference 36

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Observation 666d501e-18ac-4497-8ea6-a9983e34587f · outbound

This paper cites Towards foundation models learned from anatomy in medical imaging via self- supervision,.

Chest X-ray Foundation Model with Global and Local Representations Integration Towards foundation models learned from anatomy in medical imaging via self- supervision,

Reference 37

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Observation 85bb61ef-97d0-4cdf-a63a-ab7c49c0f8c5 · outbound

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

Chest X-ray Foundation Model with Global and Local Representations Integration BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 38

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This paper cites Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?.

Chest X-ray Foundation Model with Global and Local Representations Integration Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 39

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This paper cites A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation.

Chest X-ray Foundation Model with Global and Local Representations Integration A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation

Reference 40

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

Chest X-ray Foundation Model with Global and Local Representations Integration Llava-med: Training a large language-and-vision assistant for biomedicine in one day,

Reference 41

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Chest X-ray Foundation Model with Global and Local Representations Integration Advancing Multimodal Medical Capabilities of Gemini

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Chest X-ray Foundation Model with Global and Local Representations Integration Siim-acr pneumothorax seg- mentation,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:10:52.855909Z

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This paper cites Object-cxr - automatic detection of foreign objects on chest x-rays,.

Chest X-ray Foundation Model with Global and Local Representations Integration Object-cxr - automatic detection of foreign objects on chest x-rays,

Reference 44

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This paper cites The 2021 siim-fisabio-rsna machine learning covid-19 challenge: An- notation and standard exam classification of covid-19 chest radiographs,.

Chest X-ray Foundation Model with Global and Local Representations Integration The 2021 siim-fisabio-rsna machine learning covid-19 challenge: An- notation and standard exam classification of covid-19 chest radiographs,

Reference 45

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This paper cites COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics.

Chest X-ray Foundation Model with Global and Local Representations Integration COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics

Reference 46

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Chest X-ray Foundation Model with Global and Local Representations Integration Midrc covidx challenge,

Reference 47

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This paper cites BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients.

Chest X-ray Foundation Model with Global and Local Representations Integration BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients

Reference 48

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This paper cites Learning transferable visual models from natural language supervision,.

Chest X-ray Foundation Model with Global and Local Representations Integration Learning transferable visual models from natural language supervision,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:10:52.795108Z

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Observation 6a1de091-0a5d-4434-af74-d68a622d1079 · outbound

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Chest X-ray Foundation Model with Global and Local Representations Integration Revisiting Feature Prediction for Learning Visual Representations from Video

Reference 50

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This paper cites Gloria: A multimodal global-local representation learning framework for label- efficient medical image recognition,.

Chest X-ray Foundation Model with Global and Local Representations Integration Gloria: A multimodal global-local representation learning framework for label- efficient medical image recognition,

Reference 51

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Observation 245335f2-c114-47d0-be1d-dfc8ad00aeb7 · outbound

This paper cites Identifying medical diagnoses and treatable diseases by image-based deep learning,.

Chest X-ray Foundation Model with Global and Local Representations Integration Identifying medical diagnoses and treatable diseases by image-based deep learning,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:10:52.769413Z

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Observation 824b8c09-8213-47f3-9752-2998d2ceb786 · outbound

This paper cites Two public chest x-ray datasets for computer-aided screen- ing of pulmonary diseases,.

Chest X-ray Foundation Model with Global and Local Representations Integration Two public chest x-ray datasets for computer-aided screen- ing of pulmonary diseases,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:10:52.753211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4a0110f6-f84c-497b-ad6a-2e40346f36aa · outbound

This paper cites Shiraishi, S.

Chest X-ray Foundation Model with Global and Local Representations Integration Shiraishi, S

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:10:52.736438Z

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Observation b722595b-0a1a-45f5-88a5-9beaba1b1e77 · outbound

This paper cites A convnet for the 2020s,.

Chest X-ray Foundation Model with Global and Local Representations Integration A convnet for the 2020s,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-08T20:10:52.410939Z

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Observation edac445c-2cbd-4855-9142-78b453d1197a · outbound

This paper cites Eva: Exploring the limits of masked visual representation learning at scale,.

Chest X-ray Foundation Model with Global and Local Representations Integration Eva: Exploring the limits of masked visual representation learning at scale,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:10:52.710874Z

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Observation 172672fc-d10a-4c1d-807d-68cb5f48db58 · outbound

This paper cites Screening by chest radiograph and lung cancer mortality: the prostate, lung, colorectal, and ovarian (plco) randomized trial,.

Chest X-ray Foundation Model with Global and Local Representations Integration Screening by chest radiograph and lung cancer mortality: the prostate, lung, colorectal, and ovarian (plco) randomized trial,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:10:52.695573Z

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Observation 5c9fb8ee-6f4a-4d08-b560-da07b3d05b0b · outbound

This paper cites Unified perceptual parsing for scene understanding,.

Chest X-ray Foundation Model with Global and Local Representations Integration Unified perceptual parsing for scene understanding,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-08T20:10:52.426326Z

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Pith citing papers

Observation 58f84c5e-960e-4f2f-b3b0-fe41f229174c · inbound

Xray2Xray: World Model from Chest X-rays with Volumetric Context cites this paper.

Xray2Xray: World Model from Chest X-rays with Volumetric Context Chest X-ray Foundation Model with Global and Local Representations Integration

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T00:14:14.108229Z

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