Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:39:15.213680Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2501.12023.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:39:15.213680Z
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
50 of 50 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 95ee433f-586a-4b9b-9b10-da07dcfd4138 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Diagnosis and complications of cushing’s syndrome: a consensus state- ment,
Reference 1
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 17c002c6-6a27-472a-aa5b-b07b7e4092c5 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Persistence of myopathy in cushing’s syndrome: evaluation of the german cushing’s registry,
Reference 2
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 e99d15c0-8d15-4bfc-af31-69e292e55fc3 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Demographic factors and the presence of comorbidities do not promote early detection of cushing’s disease and acromegaly,
Reference 3
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 19ff71af-27d7-4e11-8d1b-8706fb4508bb · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Computer vision technology in the differential diagnosis of cushing’s syndrome,
Reference 4
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 d45c6a18-279f-48e4-89dc-a242eb3ab661 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Deep-learning approach to automatic identifi- cation of facial anomalies in endocrine disorders,
Reference 5
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 addcb87e-8bdb-4e48-b850-b8c5a01253ba · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Dlib-ml: A machine learning toolkit,
Reference 6
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 30776f60-8467-4c9f-9d3a-75b63ec5ae55 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Imagenet: A large-scale hierarchical image database,
Reference 7
Source-reported events for the cited work
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Observation 2bc31c68-11f5-4f5d-bcca-2f960e9a0b8c · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 8
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Unavailable: canonical work link unavailable.
Observation 9172ef4e-c09b-4557-9c72-b03e109f4988 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Attention is all you need,
Reference 9
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Observation 95a46b8e-6ebe-4865-b245-8673f5681462 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f78b556-b4d7-476a-bd22-6b8993a9cc7c · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis RoBERTa: A Robustly Optimized BERT Pretraining Approach
Reference 11
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Observation a914d0b6-c288-4d68-aa4a-0a44387cc6a1 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Improving language understanding by generative pre- training,
Reference 12
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Unavailable: canonical work link unavailable.
Observation 7932f0c3-8ee8-44eb-8448-1eb1a94607ef · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Language models are unsupervised multitask learners,
Reference 13
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Unavailable: canonical work link unavailable.
Observation ae4a87ca-a05a-4ea2-ae7a-5eafbc7ecb56 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Language Models are Few-Shot Learners
Reference 14
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Unavailable: canonical work link unavailable.
Observation 6a8eba97-0e16-48d1-b1cc-53ab742fedb7 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Swin transformer: Hierarchical vision transformer using shifted windows,
Reference 16
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 40055d3e-6f8b-4d8a-a9b8-a5ec164642ab · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis DINOv2: Learning Robust Visual Features without Supervision
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation babf691d-d795-47a5-bc3b-a134260a9b8d · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Segment anything,
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aaf82f85-79f3-410a-ae80-e57b76de792c · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis SAM 2: Segment Anything in Images and Videos
Reference 19
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Unavailable: canonical work link unavailable.
Observation 33140236-8fd2-4c62-9e8b-ff1bffdeb313 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Segment anything in medical images,
Reference 20
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Unavailable: canonical work link unavailable.
Observation 35533c5d-9ae9-4f59-b9bf-a020cbee3710 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Are natural domain foundation models useful for medical image classification?
Reference 21
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 d0759c8b-1479-4f14-9a39-9741e75978fd · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Densely connected convolutional networks,
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35f6980a-ce6f-4d31-ba30-2b7b433060a7 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Deep residual learning for image recognition,
Reference 23
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Unavailable: canonical work link unavailable.
Observation 5d8fb710-ef99-4be0-a52b-22fde9e512be · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 24
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Unavailable: canonical work link unavailable.
Observation 38a188f6-99b8-4756-91a5-4d7e6148f156 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
Reference 25
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Unavailable: canonical work link unavailable.
Observation de1befbd-76c3-4403-8ddd-965fefe1a565 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Ma-sam: Modality-agnostic sam adaptation for 3d medical image segmentation,
Reference 26
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 bfc083e7-8e97-4f5b-907a-cc3b3c6137ee · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis SAM-Med2D
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e38f8ff-9757-4534-a690-150ccb448539 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Input augmentation with sam: Boosting medical image segmentation with seg- mentation foundation model,
Reference 28
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 9ec821b7-8613-4cc5-b343-d1e9330f7841 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification
Reference 29
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Unavailable: canonical work link unavailable.
Observation ef10c205-444b-40ce-ab8e-2621e9488823 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks
Reference 30
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Observation 02e82cd0-61e4-4d55-af69-f9c817a4f782 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Parameter-efficient fine-tuning of dinov2 vision transformers for lung nodule classification,
Reference 31
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 7a7474a8-9dfc-41f5-a964-30d7f39cf6a7 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis LoRA: Low-Rank Adaptation of Large Language Models
Reference 32
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Unavailable: canonical work link unavailable.
Observation c66307cc-6d36-402a-bf51-f09cc6babc8a · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Segment everything everywhere all at once,
Reference 33
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Unavailable: canonical work link unavailable.
Observation 0679d4fb-f974-41e5-9b0f-9cd8918fbb03 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,
Reference 34
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Unavailable: canonical work link unavailable.
Observation c9d8d95b-e6f1-44b4-aaf4-2d64f2c5381d · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Learning transferable visual models from natural language supervision,
Reference 35
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Unavailable: canonical work link unavailable.
Observation e3a4bf29-f69f-4233-a7e6-65f1c37aa415 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Electronic medical records as input to predict postoperative immediate remission of cushing’s disease: application of word embedding,
Reference 36
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 43c9d6f2-f034-4528-843e-e39682cad590 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Learning repre- sentations by back-propagating errors,
Reference 37
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Observation 4b3dd5a7-9374-44fd-b9ac-55b8781b7806 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Support-vector networks,
Reference 38
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Observation 3ddc1862-dc17-41fa-9d6b-25808d0b7809 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Random forests,
Reference 39
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Observation 51b35f6d-aa1b-4f63-bff0-879629d6c028 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis The regression analysis of binary sequences,
Reference 40
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Unavailable: canonical work link unavailable.
Observation 591f12b7-4398-4cfa-a497-f79c7dc1a165 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Toward better prediction of recurrence for cushing’s disease: a factorization-machine based neural approach,
Reference 41
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 98987f2e-5a89-47e6-a201-7316e79aeba8 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Greedy function approximation: a gradient boosting machine,
Reference 42
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Unavailable: canonical work link unavailable.
Observation f980f53e-8eb4-4557-9425-8abdc9752684 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis A decision-theoretic generalization of on-line learning and an application to boosting,
Reference 43
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 941d233b-61b3-4eca-8a89-aa4f1a8aefd9 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Xgboost: A scalable tree boosting system,
Reference 44
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Unavailable: canonical work link unavailable.
Observation 1e9f7ceb-a68b-4c80-a2ff-6b2fe2e0ecd1 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Machine learn- ing models for classification of cushing’s syndrome using retrospective data,
Reference 45
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 88e86cf6-ce9e-4c4f-8bff-70856d5aa763 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis An introduction to kernel and nearest-neighbor non- parametric regression,
Reference 46
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Observation 82a7d273-b820-4151-8bc2-0e0cff889f6a · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Principal component analysis-a tutorial,
Reference 47
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 ed359e93-e9ea-40b7-88b5-eaa5929d1edd · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Classification and regression trees,
Reference 48
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 e3f47f08-701f-482e-9f28-ea80cbff723f · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Automatic face classification of cushing’s syndrome in women–a novel screening approach,
Reference 49
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4fd9c5a6-e04a-4b03-9b55-7d2baa560533 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Large-scale machine learning with stochastic gradient de- scent,
Reference 50
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Observation e80d2ebf-e23c-4ff8-bf15-1c9a47996047 · outbound
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Pytorch: An imperative style, high-performance deep learning library,
Reference 51
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No inbound Pith citation observations are available.