Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T17:16:16.294281Z
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2509.11034.
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 2026-08-04T17:16:16.294281Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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
55 of 55 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation c1f96145-db46-4e98-ace9-f1a1ae4a8b3c · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Data-efficient and weakly supervised computational pathology on whole-slide images,
Reference 1
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Observation ad63ec41-87e5-42da-9807-736cc6122d5a · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential,
Reference 2
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Observation 1610dfee-6c9a-4d92-8335-04ccdf519f60 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Pseudo-bag mixup augmentation for multiple instance learning-based whole slide image classification,
Reference 3
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Observation 305e3667-adb8-4a0b-996d-22035210437f · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Advmil: Adversarial multiple instance learning for the survival analysis on whole-slide images,
Reference 4
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Observation 2651a770-8f29-4285-a2d4-9dbfda1e7e1e · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images A framework for multiple-instance learning,
Reference 5
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Observation 628e9277-0d09-41ff-aa11-0599affdf080 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Support vector ma- chines for multiple-instance learning,
Reference 6
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Observation 93b1918f-1f12-490c-a59c-c6cabd88b230 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Multiple instance learning convolutional neural networks for object recognition,
Reference 7
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Observation 19b5670d-23ae-464c-9c52-71365d28800a · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Attention-based deep multiple instance learning,
Reference 8
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Observation b426aabe-0ea4-44ed-8580-6ec86bdeb15e · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Loss-based attention for deep multiple instance learning,
Reference 9
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Observation ec4a264d-ccdf-4477-8241-6cd3924be44d · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Multi- instance partial-label learning with margin adjustment,
Reference 10
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Observation e1cd29a5-98e0-4c6a-8b88-2f7a18623aae · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Miles: Multiple-instance learning via embedded instance selection,
Reference 11
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Observation 1a8f346c-c9a0-444c-a1e2-189d70bcc22a · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Adaptis: Adaptive instance selection network,
Reference 12
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Observation 44cdabb5-58bf-448b-885f-f187749a9e49 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Deep multiple instance selection,
Reference 13
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Observation cf048dcc-f18e-40f0-a1a2-098c6d639dea · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Sparse multiple instance learning for elderly people balance ability,
Reference 14
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Observation 3ac7e0e8-c859-48f8-8b44-be64937ed635 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Primary mucinous ovarian tumors vs. ovarian metastases from gastrointestinal tract, pancreas and biliary tree: a review of current problematics,
Reference 15
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Observation 9541b7e5-a853-4801-b7da-d1557674ee55 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Pathology of primary and metastatic mucinous ovarian neoplasms,
Reference 16
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Observation 92b137eb-cec5-466c-a873-55a3a08ef1df · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Dtfd-mil: Double-tier feature distillation multiple instance learning for histopathology whole slide image classification,
Reference 17
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Observation c1182015-8a86-47c0-9ca1-3f6dc1417925 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Clinical-grade computational pathology using weakly supervised deep learning on whole slide images,
Reference 18
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Observation 9d39537e-36c1-4936-ac60-a5db97aa05b6 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Solving the multi- ple instance problem with axis-parallel rectangles,
Reference 19
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Observation bb49371e-9864-47d2-9faa-82cd8daa94fa · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Multi instance neural networks,
Reference 20
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Observation 1108d786-461b-4961-ab2f-75015209cf3c · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Key instance detection in multi-instance learning,
Reference 21
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Observation 7c412eb0-1639-4f8a-876d-3ab6baf73a68 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Multiple instance learning: A survey of problem characteristics and applications,
Reference 22
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Observation 4f2cba7a-198e-4b76-9ccd-90e8a3930afd · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images From group to individual labels using deep features,
Reference 23
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Observation f196f990-b754-47b3-b89c-089066a4e668 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Support vector ma- chines for multiple-instance learning,
Reference 24
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Observation e76b3631-f799-439b-8c32-09d5d6c921f6 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Em-dd: An improved multiple-instance learning technique,
Reference 25
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Observation 56e81040-c659-4677-aac5-805efe25f9ad · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Deep sets,
Reference 26
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Observation 5cff285f-efc8-47f7-9ed8-3227e1247760 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Deep multiple instance learning for image classification and auto-annotation,
Reference 27
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Observation 1a27ea72-d27c-404c-ba77-482da435acbc · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Trans- MIL: Transformer based correlated multiple instance learning for whole slide image classification,
Reference 28
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Observation ef2144d2-0a1b-48ba-a37e-5cb50876f25f · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Multi-view multi-instance learning based on joint sparse representation and multi-view dictionary learning,
Reference 29
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Unavailable: canonical work link unavailable.
Observation 27235e6a-89f7-4cda-b42f-ab16f2d2f462 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Weakly supervised object lo- calization with multi-fold multiple instance learning,
Reference 30
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Observation 04cd63d9-8029-4ad7-b479-a30e0f588665 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Multi-layer multi-instance learning for video concept detection,
Reference 31
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Observation 0b079f78-9997-4f32-bd9f-9f761af3e42b · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Video anomaly detection with ntcn-ml: A novel tcn for multi-instance learning,
Reference 32
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Observation b682d12c-867d-4abb-9d10-828418f6cf49 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Text representation and classification based on multi-instance learning,
Reference 33
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Observation bddd07b1-11a8-463b-bfa8-ac0b8e0d36a5 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Multiple instance learning for classification of dementia in brain mri,
Reference 34
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Observation d19d8031-ffa7-4f17-a262-18e05350b120 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach
Reference 35
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Observation ed08e00f-c5f8-47e4-b49e-dc376461e292 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Whole slide images based cancer survival prediction using attention guided deep JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 12 multiple instance learning networks,
Reference 36
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Observation 1129999d-1486-4af9-b995-03db7f0d5b3b · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Dual-stream multiple instance learn- ing network for whole slide image classification with self-supervised contrastive learning,
Reference 37
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Observation c7c4fe6b-3866-40a7-9edb-6fdb23dafa1e · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Murcl: Multi-instance reinforcement contrastive learning for whole slide image classification,
Reference 38
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Observation 4232deed-888f-430a-9ae2-87e2925bc269 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Advances in Multiple Instance Learning for Whole Slide Image Analysis: Techniques, Challenges, and Future Directions
Reference 39
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Observation 6daa266a-ac44-4183-ada7-af398a60e59d · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Rethinking Attention-Based Multiple Instance Learning for Whole-Slide Pathological Image Classification: An Instance Attribute Viewpoint
Reference 40
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Observation e0589a09-37ec-4338-af78-577ebd2a95e8 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification
Reference 41
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Observation cba53c7e-781c-43d4-91f5-cb269ffc0792 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Rethinking multiple instance learning for whole slide image classification: A good instance classifier is all you need,
Reference 42
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Observation 5fa6bd7e-a9a6-401d-83b1-e6fb14953e0b · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Attention is not what you need: Revisiting multi-instance learning for whole slide image classification,
Reference 43
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Observation 6ffd10f0-dff7-4934-8683-50af6f33acbb · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Hmil: Hierarchical multi- instance learning for fine-grained whole slide image classification,
Reference 44
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Observation eda2e056-c100-4abc-b615-60f883be7e89 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Camil: channel attention-based multiple instance learning for whole slide image classification,
Reference 45
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Observation 480cee9a-7505-4ec5-8dab-a50435f99b9a · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Targeting tumor heterogeneity: multiplex- detection-based multiple instance learning for whole slide image clas- sification,
Reference 46
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Observation 6a4d7d61-8f6b-446e-a48a-3f30c895fc28 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Camil: Causal multiple instance learning for whole slide image classification,
Reference 47
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Observation ec166402-1a4a-4c09-a81f-f32a0bfbc184 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Multiple instance learning with random sampling for whole slide image classification,
Reference 48
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Observation 8a44f0cf-295e-4a04-babb-a685b44490fe · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Learning with ℓ1-graph for image analysis,
Reference 49
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Observation b8e76ba8-09f5-4a1a-b3e9-28963837bda4 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Multi-instance learning by treating instances as non-i.i.d. samples,
Reference 50
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Observation 62dacaa5-8a54-47e1-9b85-d89b27b61558 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Adaptive prototype learning and allocation for few-shot segmentation,
Reference 51
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Observation 441c2bf9-1725-4c07-a8fd-dd176bc68777 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Enhancing sparsity by reweighted l 1 minimization,
Reference 52
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Observation 354e6439-d640-46f5-9718-683e804ee535 · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer,
Reference 53
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Observation 11748bfe-e48b-468b-b249-4fc42a21d1ad · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Comprehensive molecular portraits of human breast tumours,
Reference 54
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Observation 482da0f3-e263-4b16-a883-d1d707b3408e · outbound
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images Set trans- former: A framework for attention-based permutation-invariant neural networks,
Reference 55
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No inbound Pith citation observations are available.