Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T10:53:53.135641Z
Paper Citation Record · LEDGER
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning
As of 10 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2507.23402.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
49 of 49 outbound references displayed
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- verified fuzzy43
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 68c84b5f-2586-418f-8f73-f284f0d5f529 · outbound
This paper cites Joint modeling of chest radiographs and radiology reports for pulmonary edema assessment.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Joint modeling of chest radiographs and radiology reports for pulmonary edema assessment
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2da69f63-d6d2-400b-8abb-89907c813434 · outbound
This paper cites Tandemnet: Distilling knowledge from medical images using diagnostic reports as optional semantic references.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Tandemnet: Distilling knowledge from medical images using diagnostic reports as optional semantic references
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 18fa997b-e3e7-4efb-bd71-a63e88440081 · outbound
This paper cites Contrastive learning of medical visual representations from paired images and text.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Contrastive learning of medical visual representations from paired images and text
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bd59ccc1-205c-4ce6-b00f-02e547b0a361 · outbound
This paper cites Learning to exploit temporal structure for biomedical vision-language processing.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Learning to exploit temporal structure for biomedical vision-language processing
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2a3c0702-a61e-4261-9e34-83c34c69ac46 · outbound
This paper cites Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 197cedbd-4a01-423e-82bc-3609a1c3af9e · outbound
This paper cites Multi-granularity cross-modal alignment for generalized medical visual representation learning.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Multi-granularity cross-modal alignment for generalized medical visual representation learning
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 27278c54-cfbc-434a-9b54-9bfcd579332e · outbound
This paper cites Abnormal-region-aware multi-modal feature fusion for medical report generation.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Abnormal-region-aware multi-modal feature fusion for medical report generation
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a86c0c7e-79a2-44c8-934a-f969a0f9c3e6 · outbound
This paper cites Prior: Prototype representation joint learning from medical images and reports.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Prior: Prototype representation joint learning from medical images and reports
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 90af666c-149e-4da1-ad5a-464c6e040923 · outbound
This paper cites Multi-task paired masking with alignment modeling for medical vision-language pre-training.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Multi-task paired masking with alignment modeling for medical vision-language pre-training
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2e72d9f5-7c90-4c6d-866f-78e2a0564952 · outbound
This paper cites Hard negative mixing for contrastive learning.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Hard negative mixing for contrastive learning
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation abe3dbc5-7d12-4c45-b062-c19bc386b7e8 · outbound
This paper cites Learning deep representations by mutual information estimation and maximization.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Learning deep representations by mutual information estimation and maximization
Reference 11
- Resolution
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Source-reported events for the cited work
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Observation a3fa462a-f2fb-4873-b432-8794d2169db8 · outbound
This paper cites Reliable few-shot learning under dual noises.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Reliable few-shot learning under dual noises
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3087b541-7dc3-4c14-92c3-3ab042ee9e63 · outbound
This paper cites Progressive meta-learning with curriculum.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Progressive meta-learning with curriculum
Reference 13
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a4982bf7-3e5e-4441-9c2d-203a92baa1af · outbound
This paper cites Prototype Contrastive Consistency Learning for Semi-Supervised Medical Image Segmentation.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Prototype Contrastive Consistency Learning for Semi-Supervised Medical Image Segmentation
Reference 14
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9984136-f9d6-443b-89d4-295e972856cf · outbound
This paper cites Prototype correlation matching and class-relation reasoning for few-shot medical image segmentation.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Prototype correlation matching and class-relation reasoning for few-shot medical image segmentation
Reference 15
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6131172e-e459-4e40-a008-f82fd93a1483 · outbound
This paper cites Diagllm: multimodal reasoning with large language model for explainable bearing fault diagnosis.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Diagllm: multimodal reasoning with large language model for explainable bearing fault diagnosis
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation debbb057-9995-4c62-95c4-2984a88e9df7 · outbound
This paper cites Improving fine-grained understanding in image-text pre-training.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Improving fine-grained understanding in image-text pre-training
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation 45100921-bcdf-4e20-87b7-1f6291d34bae · outbound
This paper cites Amam: An attention-based multimodal alignment model for medical visual question answering.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Amam: An attention-based multimodal alignment model for medical visual question answering
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation af697efe-0a26-49dd-b9a8-84f6316dc3e0 · outbound
This paper cites Context-enhanced framework for medical image report generation using multimodal contexts.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Context-enhanced framework for medical image report generation using multimodal contexts
Reference 19
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3b4e478a-15f7-432e-9ab3-10144008edc9 · outbound
This paper cites Cycle-vqa: A cycle-consistent framework for robust medical visual question answering.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Cycle-vqa: A cycle-consistent framework for robust medical visual question answering
Reference 20
- Resolution
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Source-reported events for the cited work
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Observation 41cd544f-7775-4964-b800-8c78479627f3 · outbound
This paper cites From global to local: Multi-scale out-of-distribution detection.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning From global to local: Multi-scale out-of-distribution detection
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 02b53500-65bd-45ac-a1e0-19f355c93223 · outbound
This paper cites Multimodal representation learning via maximization of local mutual information.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Multimodal representation learning via maximization of local mutual information
Reference 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation eec31a21-45ff-4810-b8ce-daf930c13e25 · outbound
This paper cites Breaking with fixed set pathology recognition through report-guided contrastive training.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Breaking with fixed set pathology recognition through report-guided contrastive training
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cac65994-0610-46e1-be4c-71e8718b7a2d · outbound
This paper cites Tier: Text-image entropy regularization for medical clip-style models.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Tier: Text-image entropy regularization for medical clip-style models
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation add91ecb-93d6-4ac3-9769-5370551679e2 · outbound
This paper cites A simple framework for contrastive learning of visual representations.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning A simple framework for contrastive learning of visual representations
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 919ec213-4101-48bb-96e9-546daed0eff7 · outbound
This paper cites Momentum contrast for unsupervised visual representation learning.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Momentum contrast for unsupervised visual representation learning
Reference 26
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 67181dbb-b9e4-4b21-8354-c7632fbd9b9d · outbound
This paper cites Parts2whole: Self-supervised contrastive learning via reconstruction.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Parts2whole: Self-supervised contrastive learning via reconstruction
Reference 27
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 62d259a2-2472-4585-9f5c-6c26c01cd020 · outbound
This paper cites Bootstrap your own latent-a new approach to self-supervised learning.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Bootstrap your own latent-a new approach to self-supervised learning
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation eaf39620-07f7-4dea-95e9-eee46f18b43d · outbound
This paper cites Contrastive learning of global and local features for medical image segmentation with limited annotations.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Contrastive learning of global and local features for medical image segmentation with limited annotations
Reference 29
- Resolution
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Observation cfdf88a4-f75c-441e-b0ef-dfeade268ef1 · outbound
This paper cites Pneumonia detection on chest x-ray using radiomic features and contrastive learning.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Pneumonia detection on chest x-ray using radiomic features and contrastive learning
Reference 30
- Resolution
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Source-reported events for the cited work
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Observation 4af23977-cead-4739-a472-e2dcfd92dbd6 · outbound
This paper cites Contig: Self-supervised multimodal contrastive learning for medical imaging with genetics.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Contig: Self-supervised multimodal contrastive learning for medical imaging with genetics
Reference 31
- Resolution
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Observation d1af4024-1792-4fac-9dd3-8139d0f3155e · outbound
This paper cites Lspcl: Label-specific supervised prototype contrastive learning for multi-label text classification.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Lspcl: Label-specific supervised prototype contrastive learning for multi-label text classification
Reference 32
- Resolution
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Observation de68b8ca-e73d-4058-9869-395f149ed3f3 · outbound
This paper cites Unsupervised feature learning by cross-level instance-group discrimination.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Unsupervised feature learning by cross-level instance-group discrimination
Reference 33
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Observation 0b1c293b-d8a4-4ac5-a820-480d42daaace · outbound
This paper cites Hcsc: Hierarchical contrastive selective coding.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Hcsc: Hierarchical contrastive selective coding
Reference 34
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Observation ade9eb09-93e0-43b7-b482-d7896fd7811a · outbound
This paper cites Contrastive clustering.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Contrastive clustering
Reference 35
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Observation 4871e31f-53fd-478e-9a5b-fc0c46616676 · outbound
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AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Unsupervised learning of visual features by contrasting cluster assignments
Reference 36
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AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Deep residual learning for image recognition
Reference 37
- Resolution
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b3815571-e2de-434c-971a-493692c8dcf6 · outbound
This paper cites Imagenet large scale visual recognition challenge.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Imagenet large scale visual recognition challenge
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5900d65e-c250-42fd-8557-259bc4a9ef8a · outbound
This paper cites Bert: pre-training of deep bidirectional transformers for language understanding.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Bert: pre-training of deep bidirectional transformers for language understanding
Reference 39
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 04d6721c-d82c-4a68-9b6c-d0210623efcb · outbound
This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Scaling up visual and vision-language representation learning with noisy text supervision
Reference 40
- Resolution
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Source-reported events for the cited work
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Observation b2e033e0-2857-41d9-9cba-8fb00647f11d · outbound
This paper cites Learning transferable visual models from natural language supervision.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Learning transferable visual models from natural language supervision
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 65dcd0d1-329b-4416-8843-5bf231545502 · outbound
This paper cites Attention is all you need.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Attention is all you need
Reference 42
- Resolution
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Observation addec182-9572-4466-9fb1-4c0874d437ff · outbound
This paper cites Representation Learning with Contrastive Predictive Coding.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Representation Learning with Contrastive Predictive Coding
Reference 43
- Resolution
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Source-reported events for the cited work
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Observation 1086e823-5eb2-4a6e-91d3-e5bff89f934a · outbound
This paper cites W Johnson, Tom J Pollard, Seth J Berkowitz, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Roger G Mark, and Steven Horng.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning W Johnson, Tom J Pollard, Seth J Berkowitz, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Roger G Mark, and Steven Horng
Reference 44
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b90dd22e-18d1-4142-a542-36b9cde9428d · outbound
This paper cites Dynamic graph enhanced contrastive learning for chest x-ray report generation.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Dynamic graph enhanced contrastive learning for chest x-ray report generation
Reference 45
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 617244c6-eb0d-4f9b-9794-40e780a31de1 · outbound
This paper cites Interactive and explainable regionguided radiology report generation.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Interactive and explainable regionguided radiology report generation
Reference 46
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d841c03e-0e77-42cc-a6eb-81f1689c5fa7 · outbound
This paper cites Knowledge matters: chest radiology report generation with general and specific knowledge.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Knowledge matters: chest radiology report generation with general and specific knowledge
Reference 47
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ef77ece6-4f22-4a7d-bba8-126c4f9ef3ad · outbound
This paper cites Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
Reference 48
- Resolution
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Source-reported events for the cited work
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Observation c0c34df3-ca78-40fb-af73-0017afe535e3 · outbound
This paper cites Augmenting the national institutes of health chest radiograph dataset with expert annotations of possible pneumonia.
AGA: An adaptive group alignment framework for structured medical cross-modal representation learning Augmenting the national institutes of health chest radiograph dataset with expert annotations of possible pneumonia
Reference 49
- Resolution
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- raw_fallback, observed 2026-08-06T10:53:53.458758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.