Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T10:37:00.079196Z
Paper Citation Record · LEDGER
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification
As of 18 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2509.03973.
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 2026-08-18T06:34:40.430872+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
57 of 57 outbound references displayed
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- verified fuzzy42
- unresolved11
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6c112bff-c6c1-41fe-b932-ccae19b03f6a · outbound
This paper cites Deep residual learning for image recognition.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Deep residual learning for image recognition
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 82a25df3-b958-41a8-a3ae-0a13ec19cee1 · outbound
This paper cites Transmil: Transformer based correlated multiple instance learning for whole slide image classification.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Transmil: Transformer based correlated multiple instance learning for whole slide image classification
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:10.064846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f8dccd33-9d21-46f9-8094-80c0bd9b9db6 · outbound
This paper cites Feature re-embedding: Towards foundation model- level performance in computational pathology.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Feature re-embedding: Towards foundation model- level performance in computational pathology
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b24d652f-9c45-4d74-a47d-4d3de200c058 · outbound
This paper cites Conditional Positional Encodings for Vision Transformers.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Conditional Positional Encodings for Vision Transformers
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation fc063572-b648-45df-a487-9131604bea30 · outbound
This paper cites Roformer: Enhanced transformer with rotary position embedding.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Roformer: Enhanced transformer with rotary position embedding
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7a061afa-fbd8-4705-9219-8fa15cffed38 · outbound
This paper cites Unified-IO 2: Scaling autoregressive multimodal models with vision language audio and action.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Unified-IO 2: Scaling autoregressive multimodal models with vision language audio and action
Reference 7
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8f0c6251-da50-495f-9eaa-cdea8cde2749 · outbound
This paper cites CycleMLP: A MLP-like Architecture for Dense Prediction.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification CycleMLP: A MLP-like Architecture for Dense Prediction
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T10:37:01.135860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ce528d0e-4e49-4946-a949-c5790b2f88e1 · outbound
This paper cites ChordMixer: A Scalable Neural Attention Model for Sequences with Different Lengths.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification ChordMixer: A Scalable Neural Attention Model for Sequences with Different Lengths
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T10:37:00.974362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 58236221-2e33-4b66-8923-1fff05267a72 · outbound
This paper cites Metaformer is actually what you need for vision.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Metaformer is actually what you need for vision
Reference 11
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 545ce4fe-6415-4cb3-af82-2b1995956501 · outbound
This paper cites Shapley values-enabled progressive pseudo bag augmentation for whole-slide image classification.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Shapley values-enabled progressive pseudo bag augmentation for whole-slide image classification
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:08.694858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 74f75715-9878-4ed7-820e-7415171748cc · outbound
This paper cites Patch-based convolutional neural network for whole slide tissue image classification.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Patch-based convolutional neural network for whole slide tissue image classification
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:08.457992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation eb6ac842-095b-4e03-8008-3d69ffee189b · outbound
This paper cites Eliceiri.
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 00968bab-2f24-46fd-b50c-f233863fd233 · outbound
This paper cites Lu et al.
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 73845feb-939a-49b5-a923-bb7f2a66dfbe · outbound
This paper cites Dtfd-mil: Double-tier feature distillation multiple instance learning for histopathology whole slide image classification.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Dtfd-mil: Double-tier feature distillation multiple instance learning for histopathology whole slide image classification
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:07.878743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 942b2ac0-a98e-4842-a21f-0c3f3120232d · outbound
This paper cites Chen et al.
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 08369ed7-560a-4fbf-8eb0-810ae652c00b · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 18
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 954aa85d-4a10-457a-a576-f7efc051e859 · outbound
This paper cites Self-Attention with Relative Position Representations.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Self-Attention with Relative Position Representations
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8625ece4-3bfe-4c38-a047-ae67fffb7106 · outbound
This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Reference 20
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 366d9521-9dc7-440b-97b1-6c5c11e6734b · outbound
This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Transformers are rnns: Fast autoregressive transformers with linear attention
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:07.571595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d4433c27-d984-4b20-ab49-ce488e05a076 · outbound
This paper cites A whole-slide foundation model for digital pathology from real-world data.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification A whole-slide foundation model for digital pathology from real-world data
Reference 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c4a1aa82-ae84-4f8a-b47f-ca6553bbec57 · outbound
This paper cites Norma: A noise robust memory-augmented framework for whole slide image classification.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Norma: A noise robust memory-augmented framework for whole slide image classification
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:07.098398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d0b759b8-8667-4b19-97e6-e1b5133063eb · outbound
This paper cites Vaswani et al.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Vaswani et al
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cd673b8e-6971-4afb-937a-41480f9f2bd1 · outbound
This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Efficiently Modeling Long Sequences with Structured State Spaces
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c1ff521-f3df-42b9-b7d1-928c8de4fb47 · outbound
This paper cites Sparse factorization of square matrices with application to neural attention modeling.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Sparse factorization of square matrices with application to neural attention modeling
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a4e31c2c-8203-4eb2-a0fe-bf9dfbaf976e · outbound
This paper cites Mambamil: Enhancing long sequence modeling with sequence reordering in computational pathol- ogy.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Mambamil: Enhancing long sequence modeling with sequence reordering in computational pathol- ogy
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:06.160931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ebaf92a0-f4a7-431b-909d-65c3e084c3d4 · outbound
This paper cites MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models
Reference 28
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 248df77b-31a0-45cd-a297-705c3d9191f9 · outbound
This paper cites Clinical-grade computational pathology using weakly supervised deep learning on whole slide images.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:05.824681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a9269da4-c825-4723-9da9-45c1bb5e9b52 · outbound
This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Reference 30
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ecd8f01-ca9f-4eed-8134-dfe550d6fd4c · outbound
This paper cites Structured state space models for multiple instance learning in digital pathology.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Structured state space models for multiple instance learning in digital pathology
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e9aa2968-61cd-4e6d-8c21-a2657cdc1eed · outbound
This paper cites The farthest point strategy for progressive image sampling.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification The farthest point strategy for progressive image sampling
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ab7e7183-aa3b-4059-b7ba-86836f90455b · outbound
This paper cites Rotary position embedding for vision transformer.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Rotary position embedding for vision transformer
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 916169ce-a29e-4382-9e51-70d15fbdde50 · outbound
This paper cites FiT: Flexible Vision Transformer for Diffusion Model.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification FiT: Flexible Vision Transformer for Diffusion Model
Reference 34
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7bbfa68b-7b30-4134-b810-93a9aae03c23 · outbound
This paper cites Tolstikhin et al.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Tolstikhin et al
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ca1f90af-c710-4dbd-ac6b-e749babef3d9 · outbound
This paper cites Attention-based deep multiple instance learning.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Attention-based deep multiple instance learning
Reference 36
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9d4964bf-2483-48db-b4e5-8fdf292d3dce · outbound
This paper cites Nystromformer: A nystrom-based algorithm for approximating self-attention.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Nystromformer: A nystrom-based algorithm for approximating self-attention
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d8d62bac-c4d8-45d1-9899-e556db3a430c · outbound
This paper cites Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 62ce59f6-f3bb-4ffe-8573-e2249103063a · outbound
This paper cites LongNet: Scaling Transformers to 1,000,000,000 Tokens.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification LongNet: Scaling Transformers to 1,000,000,000 Tokens
Reference 39
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b458e626-8b96-40bc-ba08-f11a4ef333fb · outbound
This paper cites A Length-Extrapolatable Transformer.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification A Length-Extrapolatable Transformer
Reference 40
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e29a5a25-1c8d-42b4-b498-b68f606a6ef5 · outbound
This paper cites Pay attention to mlps.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Pay attention to mlps
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:04.630153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f8685816-2a40-4f03-b274-e4d44569dc32 · outbound
This paper cites Deformable convolutional networks.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Deformable convolutional networks
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:04.458722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation dc65f01a-8690-4346-979c-031edb5505f1 · outbound
This paper cites Task-specific fine-tuning via variational information bottleneck for weakly-supervised pathology whole slide image classifi- cation.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Task-specific fine-tuning via variational information bottleneck for weakly-supervised pathology whole slide image classifi- cation
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:04.283265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b79a55e9-e116-41a4-928e-8dca2aab1990 · outbound
This paper cites Multiple instance learning framework with masked hard instance mining for whole slide image classification.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Multiple instance learning framework with masked hard instance mining for whole slide image classification
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:04.144689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 08f93b06-906b-4f6c-b0e2-c5f4fc8c4eb8 · outbound
This paper cites Histopathology whole slide image analysis with heterogeneous graph representation learning.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Histopathology whole slide image analysis with heterogeneous graph representation learning
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:04.009027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0c6fe84e-73cc-482d-bfeb-178a15424e50 · outbound
This paper cites A graph-transformer for whole slide image classification.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification A graph-transformer for whole slide image classification
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:03.827867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6716ad2c-4f62-44ab-af69-3e7aaa53654b · outbound
This paper cites Chen et al.
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:03.643605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5877cc7b-57c1-457f-922a-d29f581c46a8 · outbound
This paper cites Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:03.440771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e0c364b8-4f30-4d6b-aca9-8061fa135833 · outbound
This paper cites Smith, and Mike Lewis.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Smith, and Mike Lewis
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:03.019293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4de3ef66-126d-43f8-9495-d5e2a3336e8e · outbound
This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Flashattention: Fast and memory-efficient exact attention with io-awareness
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:02.833848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 60032fe4-dde8-4b6d-8550-9488b6e9136e · outbound
This paper cites Resmlp: Feedforward networks for image classifica- tion with data-efficient training.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Resmlp: Feedforward networks for image classifica- tion with data-efficient training
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:02.684853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 82300655-8129-4d56-a101-f05e447da938 · outbound
This paper cites an unresolved cited work.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T10:37:02.483550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1d3f56b9-9873-4c90-825f-e827c4b806fc · outbound
This paper cites Vision permutator: A permutable mlp-like architecture for visual recognition.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Vision permutator: A permutable mlp-like architecture for visual recognition
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:04.838728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f831cc31-359f-4299-939d-c29e9e583c55 · outbound
This paper cites An image patch is a wave: Phase-aware vision mlp.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification An image patch is a wave: Phase-aware vision mlp
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:02.236591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 51313396-41e5-4b57-9666-7381b0c8e69b · outbound
This paper cites Global filter networks for image classification.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Global filter networks for image classification
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:02.006811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c11d8840-6e21-45a6-b779-09c5a278f463 · outbound
This paper cites Extending Context Window of Large Language Models via Positional Interpolation.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Extending Context Window of Large Language Models via Positional Interpolation
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:37:00.012203Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aac9e6aa-73fb-4c48-bbde-da3df8653c30 · outbound
This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:01.842338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fc4a76fa-d4bc-41db-9ce4-ba949564e3ea · outbound
This paper cites COVID-19 pandemic and managing supply chain risks: NVIDIA’s graphics card shortage case analysis, 2021.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification COVID-19 pandemic and managing supply chain risks: NVIDIA’s graphics card shortage case analysis, 2021
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:01.615103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 44b1168b-a46c-4975-91e6-fe06e855b81d · outbound
This paper cites NVIDIA’s bet on artificial intelligence: The impact on healthcare.
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification NVIDIA’s bet on artificial intelligence: The impact on healthcare
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:37:01.382636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.