Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T05:19:49.195013Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2502.08391.
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 2026-08-08T05:19:49.195013Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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
51 of 51 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 622f2e52-c13c-42bb-935c-5d8a6d963527 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Lan- guage models are few-shot learners
Reference 1
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Observation 5b711ba5-c45f-4d7e-bb42-41d865307e16 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Histopathology whole slide image anal- ysis with heterogeneous graph representation learning
Reference 2
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Observation c9be97a5-0fb8-4529-a27e-dbbfa1614d6e · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification PaLM: Scaling Language Modeling with Pathways
Reference 3
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Observation 2cc86708-d9cb-469f-9ce7-847826d0e6b9 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Artificial intelligence and computational pathology
Reference 4
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Observation f8295524-e12c-4c81-8555-7b76ae9dade2 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Fast Graph Representation Learning with PyTorch Geometric
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Observation 169748e9-af1e-4b5d-b2c7-732302694214 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Multiple instance cap- tioning: Learning representations from histopathology text- books and articles
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Observation 9e76745c-7b80-4870-aef0-59bfcd51cbb1 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification CLIP-Adapter: Better vision-language models with feature adapters
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ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Texts as images in prompt tun- ing for multi-label image recognition
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Observation c086aaf9-b4f0-47eb-8e96-ed6f71017c14 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification E 2VPT: An ef- fective and efficient approach for visual prompt tuning
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Observation 3dc43fbb-d150-4ea2-ad02-0eb8e2b524ae · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification H2-MIL: Ex- ploring hierarchical representation with heterogeneous mul- tiple instance learning for whole slide image analysis
Reference 10
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Observation c6e3552f-27c8-4728-8ed6-e803954d4040 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification ConSlide: Asynchronous hierarchical interaction Transformer with breakup-reorganize rehearsal for continual whole slide image analysis
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Observation cdb2370c-5ed7-42e8-bf1e-2252e20bea1d · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification A visual-language foundation model for pathology image analysis using medical Twitter
Reference 12
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Observation 53773a4d-4d7c-42e9-9b84-7052af8f437d · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Quilt-1M: One million image-text pairs for histopathology
Reference 13
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Observation 12eea2da-7185-4a6b-bfc4-2ef636ea6e79 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Attention-based deep multiple instance learning
Reference 14
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Observation 87cd8a8f-d32d-4cda-96dd-73eac4506da0 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification MaPle: Multi-modal prompt learning
Reference 15
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Observation c2429bba-be7d-49d5-82c5-53f22f0265d3 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Dual-stream multiple instance learning network for whole slide image classifica- tion with self-supervised contrastive learning
Reference 16
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Observation 83eb3851-5f78-43df-a352-2fccf1afce09 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Task-specific fine-tuning via variational information bottle- neck for weakly-supervised pathology whole slide image classification
Reference 17
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Observation 4fdafb73-b396-4269-9f63-468e89fdf24b · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification BLIP: Bootstrapping language-image pre-training for uni- fied vision-language understanding and generation
Reference 18
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Observation 90b58d0f-a826-41c6-819d-288cfaa5ef2c · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Weakly supervised histopathology image segmentation with self-attention
Reference 19
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Observation 0bc3342f-bbe0-42aa-9742-a37732e510f7 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Scaling language-image pre-training via masking
Reference 20
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Observation 677ddb2e-c328-4145-8cfe-fa7213f25e9a · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Interventional bag multi-instance learning on whole-slide pathological images
Reference 21
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Observation 21ef308f-8c42-4c0f-b347-b59a9d76e0a5 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification CLIP is also an efficient segmenter: A text-driven approach for weakly supervised semantic segmentation
Reference 22
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Observation 684553e3-5e2b-4f58-955a-7ba50f292f63 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Towards a Visual-Language Foundation Model for Computational Pathology
Reference 23
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Observation ca31f63a-aebc-4705-a253-52d185413c06 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Visual language pre- trained multiple instance zero-shot transfer for histopathol- ogy images
Reference 24
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Observation 05ee08d3-b487-4768-8a7f-7aae5d79c0bb · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Data-efficient and weakly supervised computational pathology on whole- slide images
Reference 25
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Observation ea6c5a3e-6d2d-4247-ba8e-7ce7e03854ee · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification A framework for multiple-instance learning
Reference 26
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Observation c5cde27b-844e-4ff3-947a-f131cb32d9c6 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Sparse multi-modal graph Transformer with shared-context processing for representation learning of giga-pixel images
Reference 27
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Observation 013fd2d3-d570-4157-894b-36b01b135fdd · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Digital pathology and artificial intelli- gence
Reference 28
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Observation eff6e020-9e41-47c4-8270-4ee94ed62c07 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification GPT-4 Technical Report
Reference 29
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Observation 7c489878-6cdf-4e7d-9b40-01c2532b030d · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification The rise of ai language pathologists: Exploring two-level prompt learning for few-shot weakly-supervised whole slide image classification
Reference 30
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Observation c9e6320f-2d93-4322-9fc8-0b2426430d92 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Learn- ing transferable visual models from natural language super- vision
Reference 31
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Observation 7f51e0a6-b806-409d-917d-1b9642a55c79 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification DenseCLIP: Language-guided dense prediction with context-aware prompting
Reference 32
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Observation 3bee25a2-5940-4886-8c5c-827c0a840bfa · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification OCELOT: Overlapped cell on tissue dataset for histopathol- ogy
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Observation 83cfb55a-c870-40b7-b3e3-69642739fb08 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification TransMIL: Transformer based correlated multiple instance learning for whole slide image classification
Reference 34
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Observation f4aa2e9a-eec9-4b7f-bb03-5b61e81f1077 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification MG-Trans: Multi-scale graph transformer with information bottleneck for whole slide image classification
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Observation 5b6c1f25-6e7a-4422-848e-df0b4d0130e4 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification A structure-aware hierarchical graph-based multiple instance learning framework for pT staging in histopathological im- age
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Observation 55af2845-25ff-4f46-8f3d-f7664b45884f · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Artificial intelligence for digital and computa- tional pathology
Reference 37
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ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Multiple instance learning framework with masked hard instance mining for whole slide image classification
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Observation 2fdb74fe-ec58-4e08-8fa6-18686485bebe · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification LLaMA: Open and Efficient Foundation Language Models
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Observation 9b2cd60b-5b09-4d99-86c7-c131b295d77f · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Visualizing data using t-SNE
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ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification CORA: Adapting CLIP for open-vocabulary detection with region prompting and anchor pre-matching
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Observation b616d0a5-0c59-49c7-82f3-e35bb3553a80 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification CAMEL: A weakly supervised learning framework for histopathology image segmentation
Reference 42
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Observation 039d03ce-cdc5-4653-b49d-e3d9e4afafcb · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Task residual for tuning vision-language models
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Observation 6d133488-02b4-4385-a129-eb1f7c8a42cb · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification DTFD- MIL: Double-tier feature distillation multiple instance learn- ing for histopathology whole slide image classification
Reference 44
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Observation 7570aa47-0b78-45c1-93e0-62fe626d6cf4 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
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ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Text-guided foun- dation model adaptation for pathological image classifica- tion
Reference 46
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Observation 8ce5761d-16c7-4b82-9bf1-6fbd5ae7fc78 · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Gindra, Emily J
Reference 47
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Observation 4d810849-a02c-4b40-bd64-b4eea6637fab · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification RegionCLIP: Region- based language-image pretraining
Reference 48
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Observation 34d70d32-afe6-4115-a6ef-0ef800e2ed0c · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Learning to prompt for vision-language models
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ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification class name
Reference 51
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Observation bb0633db-be89-47fa-b6a6-6023e04b618f · outbound
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification ABMIL + Low-scale
Reference 2022
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No inbound Pith citation observations are available.