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Paper Citation Record · LEDGER

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification

As of 20 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.

pith.paper-citation-record.v1
2502.08391 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:19:49.195013Z

measured 51 of 51 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

51 of 51 outbound references displayed

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External citation measurements

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Outbound references

Observation 622f2e52-c13c-42bb-935c-5d8a6d963527 · outbound

This paper cites Lan- guage models are few-shot learners.

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

This paper cites Histopathology whole slide image anal- ysis with heterogeneous graph representation learning.

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

This paper cites PaLM: Scaling Language Modeling with Pathways.

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

This paper cites Artificial intelligence and computational pathology.

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

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Fast Graph Representation Learning with PyTorch Geometric

Reference 5

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Observation 169748e9-af1e-4b5d-b2c7-732302694214 · outbound

This paper cites Multiple instance cap- tioning: Learning representations from histopathology text- books and articles.

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

Reference 6

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Observation 9e76745c-7b80-4870-aef0-59bfcd51cbb1 · outbound

This paper cites CLIP-Adapter: Better vision-language models with feature adapters.

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification CLIP-Adapter: Better vision-language models with feature adapters

Reference 7

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Observation 006f188b-0f33-4851-a959-97c6f8f1f73f · outbound

This paper cites Texts as images in prompt tun- ing for multi-label image recognition.

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

Reference 8

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Observation c086aaf9-b4f0-47eb-8e96-ed6f71017c14 · outbound

This paper cites E 2VPT: An ef- fective and efficient approach for visual prompt tuning.

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

Reference 9

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Observation 3dc43fbb-d150-4ea2-ad02-0eb8e2b524ae · outbound

This paper cites H2-MIL: Ex- ploring hierarchical representation with heterogeneous mul- tiple instance learning for whole slide image analysis.

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

This paper cites ConSlide: Asynchronous hierarchical interaction Transformer with breakup-reorganize rehearsal for continual whole slide image analysis.

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

Reference 11

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Observation cdb2370c-5ed7-42e8-bf1e-2252e20bea1d · outbound

This paper cites A visual-language foundation model for pathology image analysis using medical Twitter.

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

This paper cites Quilt-1M: One million image-text pairs for histopathology.

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

This paper cites Attention-based deep multiple instance learning.

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

This paper cites MaPle: Multi-modal prompt learning.

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

This paper cites Dual-stream multiple instance learning network for whole slide image classifica- tion with self-supervised contrastive learning.

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

This paper cites Task-specific fine-tuning via variational information bottle- neck for weakly-supervised pathology whole slide image classification.

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

This paper cites BLIP: Bootstrapping language-image pre-training for uni- fied vision-language understanding and generation.

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

This paper cites Weakly supervised histopathology image segmentation with self-attention.

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

This paper cites Scaling language-image pre-training via masking.

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

This paper cites Interventional bag multi-instance learning on whole-slide pathological images.

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

This paper cites CLIP is also an efficient segmenter: A text-driven approach for weakly supervised semantic segmentation.

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

This paper cites Towards a Visual-Language Foundation Model for Computational Pathology.

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

This paper cites Visual language pre- trained multiple instance zero-shot transfer for histopathol- ogy images.

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

This paper cites Data-efficient and weakly supervised computational pathology on whole- slide images.

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

This paper cites A framework for multiple-instance learning.

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

This paper cites Sparse multi-modal graph Transformer with shared-context processing for representation learning of giga-pixel images.

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

This paper cites Digital pathology and artificial intelli- gence.

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

This paper cites GPT-4 Technical Report.

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

This paper cites The rise of ai language pathologists: Exploring two-level prompt learning for few-shot weakly-supervised whole slide image classification.

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

This paper cites Learn- ing transferable visual models from natural language super- vision.

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

This paper cites DenseCLIP: Language-guided dense prediction with context-aware prompting.

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

This paper cites OCELOT: Overlapped cell on tissue dataset for histopathol- ogy.

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification OCELOT: Overlapped cell on tissue dataset for histopathol- ogy

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T05:19:49.134166Z digest=sha256:0f92353ef4c73e7f6de9ca274fddfcbf28fed3302c0b455e256f14dd66490d9f

Observation 83cfb55a-c870-40b7-b3e3-69642739fb08 · outbound

This paper cites TransMIL: Transformer based correlated multiple instance learning for whole slide image classification.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T05:19:49.137667Z digest=sha256:8d3b043f4b34e2326f486ea9edde9455e38fdaa3955287817c0167ce634b28d6

Observation f4aa2e9a-eec9-4b7f-bb03-5b61e81f1077 · outbound

This paper cites MG-Trans: Multi-scale graph transformer with information bottleneck for whole slide image classification.

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

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:19:49.426947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T05:19:49.140872Z digest=sha256:6b3cf0b307753c3760d516b17152114e5273eae88c06ee0f37e5e6de2e7d2026

Observation 5b6c1f25-6e7a-4422-848e-df0b4d0130e4 · outbound

This paper cites A structure-aware hierarchical graph-based multiple instance learning framework for pT staging in histopathological im- age.

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

Reference 36

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T05:19:49.144200Z digest=sha256:b0af91d1ed8ba215b2b0a26202a20ac167813a9bb5286d5929ab48082dcb7c96

Observation 55af2845-25ff-4f46-8f3d-f7664b45884f · outbound

This paper cites Artificial intelligence for digital and computa- tional pathology.

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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verified fuzzy
raw_fallback, observed 2026-08-08T05:19:49.406287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T05:19:49.147504Z digest=sha256:3ef048759311f1e6a0bd42836f900eb2d757457c792b30f7ffd635595988bec5

Observation afa72699-5caf-43cf-a9d1-faa48ead800c · outbound

This paper cites Multiple instance learning framework with masked hard instance mining for whole slide image classification.

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

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T05:19:49.150681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:19:49.150681Z digest=sha256:f59bbe18504455ac830f02eb8b8026673d8852d2d50cdf37f34e768d44a630a2

Observation 2fdb74fe-ec58-4e08-8fa6-18686485bebe · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification LLaMA: Open and Efficient Foundation Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-08T05:19:49.154089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:19:49.154089Z digest=sha256:642c61ecfcf8a800ce9b5f4825b001b7c36bdb025761c5dc092d5298496f63e5

Observation 9b2cd60b-5b09-4d99-86c7-c131b295d77f · outbound

This paper cites Visualizing data using t-SNE.

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Visualizing data using t-SNE

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:19:49.389568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T05:19:49.157539Z digest=sha256:bca2064fd6972243c683ac7d1799e820885119db46b684159484bdcf030a53af

Observation 9e211769-f294-4b0e-a380-4762913485ff · outbound

This paper cites CORA: Adapting CLIP for open-vocabulary detection with region prompting and anchor pre-matching.

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

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:19:49.379362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T05:19:49.160813Z digest=sha256:16baa1b1f7701715599476dcb38b8db68aec0ef13ddb9a2c6a4dc016e3aaefd0

Observation b616d0a5-0c59-49c7-82f3-e35bb3553a80 · outbound

This paper cites CAMEL: A weakly supervised learning framework for histopathology image segmentation.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:19:49.368595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T05:19:49.164068Z digest=sha256:2d3914ff1c15349cef615b0ca4e41bcbeb3c51042962d18dccc3b2e02d4197c2

Observation 039d03ce-cdc5-4653-b49d-e3d9e4afafcb · outbound

This paper cites Task residual for tuning vision-language models.

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Task residual for tuning vision-language models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:19:49.356948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T05:19:49.167156Z digest=sha256:3f3d40eeee9b34828aa30b621e0786c2c2b0a484bceceb596bb589f4fc00cb22

Observation 6d133488-02b4-4385-a129-eb1f7c8a42cb · outbound

This paper cites DTFD- MIL: Double-tier feature distillation multiple instance learn- ing for histopathology whole slide image classification.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:19:49.346591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T05:19:49.170373Z digest=sha256:e28d56ed9cfe77fee6f4dd1193fa24351ef05f80cf7d949d983f94215b13bc47

Observation 7570aa47-0b78-45c1-93e0-62fe626d6cf4 · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

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

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T05:19:49.173991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:19:49.173991Z digest=sha256:07944a17bf1fc336981889cf100e91b67c0f5bdad1554dacf80cd74a361458ee

Observation 70009f71-f00d-4638-b70f-d53da85f0a2a · outbound

This paper cites Text-guided foun- dation model adaptation for pathological image classifica- tion.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:19:49.335261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T05:19:49.177834Z digest=sha256:af4af32b393bfbb02c3be628882e84e6bdbdafd1adf02840cd4095823410f5e2

Observation 8ce5761d-16c7-4b82-9bf1-6fbd5ae7fc78 · outbound

This paper cites Gindra, Emily J.

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Gindra, Emily J

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:19:49.324183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T05:19:49.180920Z digest=sha256:b3e4af8e4d4650716c429eb637551ed71864022d2dc41db29b177775e07d7c04

Observation 4d810849-a02c-4b40-bd64-b4eea6637fab · outbound

This paper cites RegionCLIP: Region- based language-image pretraining.

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification RegionCLIP: Region- based language-image pretraining

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:19:49.313535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T05:19:49.184253Z digest=sha256:6f2ceec3aac73daf89da281bc9432106beaf9d2b0040703d7848f36f6a8cb877

Observation 34d70d32-afe6-4115-a6ef-0ef800e2ed0c · outbound

This paper cites Learning to prompt for vision-language models.

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Learning to prompt for vision-language models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-08T05:19:49.187589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:19:49.187589Z digest=sha256:93604cfc2f0fc7fc96de752888efe335ce2128d837f90dbcda1dd5e4ff31fcd7

Observation 92d05311-da09-492c-ae21-ccbf705e4f6d · outbound

This paper cites class name.

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification class name

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:19:49.283201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T05:19:49.195013Z digest=sha256:6516ac1900cbda1d60acee47f7f41dc1dd40f53be9b0869d0b8d0d8eb1ff312e

Observation bb0633db-be89-47fa-b6a6-6023e04b618f · outbound

This paper cites ABMIL + Low-scale.

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification ABMIL + Low-scale

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:19:49.294568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T05:19:49.191087Z digest=sha256:bd9898b453872531f86e9b1e08724c494d0c57d0d36ab038cd0608896571c8d6

Pith citing papers

No inbound Pith citation observations are available.