Paper Citation Record · LEDGER

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers

As of 12 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2501.19048.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.19048 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:35:33.872507Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:57:21.124816Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T18:57:21.373649Z

Reference resolution

40 of 40 outbound references displayed

verified exact24
verified fuzzy10
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 008c2c88-6116-4267-9edb-b355375956e5 · outbound

This paper cites Learning whole-slide segmentation from inexact and incomplete labels using tissue graphs.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Learning whole-slide segmentation from inexact and incomplete labels using tissue graphs

Reference 1

Resolution: verified exact; doi, observed 2026-08-09T21:35:33.997705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a9a98888-7ea8-4414-acf4-370295235912 · outbound

This paper cites Van Der Laak, Meyke Hermsen, Quirine F.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Van Der Laak, Meyke Hermsen, Quirine F

Reference 2

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T21:35:36.626197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8c5b127b-74d5-4b81-95d9-e0752d61c392 · outbound

This paper cites Enhancing pfi prediction with gds-mil: A graph-based dual stream mil approach.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Enhancing pfi prediction with gds-mil: A graph-based dual stream mil approach

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:35:36.730930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7affe71f-4a53-45ab-9228-11860d738b85 · outbound

This paper cites Das-mil: Distilling across scales for mil classification of histological wsis.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Das-mil: Distilling across scales for mil classification of histological wsis

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:35:36.721857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 66729253-8d85-4058-8fcc-0c019b83ba36 · outbound

This paper cites Whole slide image quality in digital pathology: Review and perspectives.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Whole slide image quality in digital pathology: Review and perspectives

Reference 5

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T21:35:36.455542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 061454b2-28a3-4e3c-9c93-6240360d4277 · outbound

This paper cites an unresolved cited work.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Unresolved cited work

Reference 6

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T21:35:36.181691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 817a8784-a6ef-4f91-9931-aa773906b47e · outbound

This paper cites Camil: Causal multiple instance learning for whole slide image classification.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Camil: Causal multiple instance learning for whole slide image classification

Reference 7

Resolution: verified exact; doi, observed 2026-08-09T21:35:33.988238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 176b03c9-53c9-4e84-80a6-c2cc14055dd3 · outbound

This paper cites Chen, Ming Y.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Chen, Ming Y

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:35:36.713080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 014edc3b-3a12-464b-a158-5bf5c9401433 · outbound

This paper cites Causal inference meets machine learning.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Causal inference meets machine learning

Reference 9

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T21:35:35.977722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2f2fce09-40b0-44ff-b3ad-f41cb0010ad4 · outbound

This paper cites Zuckerman, Tairan Liu, Anthony E.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Zuckerman, Tairan Liu, Anthony E

Reference 10

Resolution: verified exact; doi, observed 2026-08-09T21:35:33.979321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a0b190d8-b0aa-487a-9a95-aef0ed748c3b · outbound

This paper cites Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-09T21:35:35.773325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a75383b7-d106-46e7-8db4-a8759f8ad44d · outbound

This paper cites A comprehensive review on multiple instance learning.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers A comprehensive review on multiple instance learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T21:35:33.788284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17978fe9-48b2-4334-9e6e-864eedd2e20a · outbound

This paper cites Node-aligned graph convolutional network for whole-slide image representation and classification.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Node-aligned graph convolutional network for whole-slide image representation and classification

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:35:36.704210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 78a6e9cf-a7c6-4276-8ee5-e9a44b11724d · outbound

This paper cites Investigating out-of-distribution generalization of gnns: An architecture perspective.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Investigating out-of-distribution generalization of gnns: An architecture perspective

Reference 14

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T21:35:35.761341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c0dca0a9-413f-4e22-8ea5-d4cd08932f68 · outbound

This paper cites Ziaul Hoque, Anja Keskinarkaus, Pia Nyberg, Taneli Mattila, and Tapio Seppänen.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Ziaul Hoque, Anja Keskinarkaus, Pia Nyberg, Taneli Mattila, and Tapio Seppänen

Reference 15

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T21:35:35.600612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9c522703-4ea1-49da-8214-4c16672f07a4 · outbound

This paper cites Tomczak, and Max Welling.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Tomczak, and Max Welling

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:35:36.694719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9b525731-7c19-4531-a381-b3a54ea161d9 · outbound

This paper cites an unresolved cited work.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Unresolved cited work

Reference 17

Resolution: verified exact; doi, observed 2026-08-09T21:35:33.965072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8e336df2-3987-40b7-a3b2-a31e80a09ae6 · outbound

This paper cites The devil is in the details: Whole slide image acquisition and processing for artifacts detection, color variation, and data augmentation: A review.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers The devil is in the details: Whole slide image acquisition and processing for artifacts detection, color variation, and data augmentation: A review

Reference 18

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T21:35:35.439588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ed9cca2f-b8b7-4238-9c4c-8202c08f2121 · outbound

This paper cites Lubanski, and Peter M.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Lubanski, and Peter M

Reference 19

Resolution: verified exact; doi, observed 2026-08-09T21:35:33.956068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c2fe23fb-7874-48b1-aff0-15090380a15c · outbound

This paper cites Kipf and Max Welling.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Kipf and Max Welling

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T21:35:33.812922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29228bce-ec8d-43d9-8fef-2bb846544243 · outbound

This paper cites Machine learning methods for histopathological image analysis.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Machine learning methods for histopathological image analysis

Reference 21

Resolution: verified exact; doi, observed 2026-08-09T21:35:33.945919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e80de100-5473-41c2-af77-d2a7586ffe22 · outbound

This paper cites Eliceiri.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Eliceiri

Reference 22

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T21:35:35.241732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ba22431a-8658-473a-9999-5ee899e3baca · outbound

This paper cites Graph cnn for survival analysis on whole slide pathological images.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Graph cnn for survival analysis on whole slide pathological images

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:35:36.680662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bf1e3d8a-e183-49bd-a745-729adbc0d6a0 · outbound

This paper cites A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches

Reference 24

Resolution: verified exact; doi, observed 2026-08-09T21:35:33.936812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d0751446-f9f7-4d62-b1f2-d888b6f16642 · outbound

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

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Interventional bag multi-instance learning on whole-slide pathological images

Reference 25

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T21:35:35.066121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a0179304-50d6-4221-9f4f-c74c219c61fe · outbound

This paper cites 1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers 1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T21:35:33.831099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b813d19-839a-4bd4-8c5b-1fc91627851b · outbound

This paper cites Lu, Drew F.K.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Lu, Drew F.K

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T21:35:33.834193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51aea684-f0af-4168-ae99-4e084191829a · outbound

This paper cites Rita Verdelho, Diogo J.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Rita Verdelho, Diogo J

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:35:36.672177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 84281a3c-abcd-40e8-98f6-ba04500ce78e · outbound

This paper cites Graph attention multi-instance learning for accurate colorectal cancer staging.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Graph attention multi-instance learning for accurate colorectal cancer staging

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:35:36.663780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d83ddb1f-c4bc-4175-abcd-da1a06458907 · outbound

This paper cites an unresolved cited work.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Unresolved cited work

Reference 30

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T21:35:34.896402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cb8951e7-d5b4-4846-bace-8b6ab904a4a9 · outbound

This paper cites A structure-aware hierarchical graph-based multiple instance learning framework for pt staging in histopathological image.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers A structure-aware hierarchical graph-based multiple instance learning framework for pt staging in histopathological image

Reference 31

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T21:35:34.731552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4437bdec-d67f-45f8-84f1-5b12b2f29d65 · outbound

This paper cites Attention-based deep multiple instance learning with adaptive instance sampling.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Attention-based deep multiple instance learning with adaptive instance sampling

Reference 32

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T21:35:34.530086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 12bf99bd-eec3-4e4b-8a6e-8c76a4f7fffe · outbound

This paper cites an unresolved cited work.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Unresolved cited work

Reference 33

Resolution: verified exact; doi, observed 2026-08-09T21:35:33.918075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 22ce0919-fd02-40aa-9c5f-ef77bf3a27c4 · outbound

This paper cites Graph attention networks.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Graph attention networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T21:35:33.854537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89328947-5fb3-406b-8873-15cded7798e8 · outbound

This paper cites Dual-stream multi-dependency graph neural network enables precise cancer survival analysis.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Dual-stream multi-dependency graph neural network enables precise cancer survival analysis

Reference 35

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T21:35:34.345784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 95a90828-b0c0-4887-9a0f-cd00c5c3be2a · outbound

This paper cites Show, attend and tell: Neural image caption generation with visual attention.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Show, attend and tell: Neural image caption generation with visual attention

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:35:36.654687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5f871ec1-a64b-4670-b71d-393f41310da4 · outbound

This paper cites Individual and structural graph information bottlenecks for out-of-distribution generalization.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Individual and structural graph information bottlenecks for out-of-distribution generalization

Reference 37

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T21:35:34.166192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0377b100-7973-414e-9598-84ab8b72a6f8 · outbound

This paper cites Gigapixel whole-slide images classification using locally supervised learning.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Gigapixel whole-slide images classification using locally supervised learning

Reference 38

Resolution: verified exact; doi, observed 2026-08-09T21:35:33.903001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 19b1b2c5-3614-49a0-bce5-045d00b94f8c · outbound

This paper cites Predicting lymph node metastasis using histopathological images based on multiple instance learning with deep graph convolution.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Predicting lymph node metastasis using histopathological images based on multiple instance learning with deep graph convolution

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:35:36.645884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ce8db77b-63ad-4db1-89ff-1bffa446d896 · outbound

This paper cites an unresolved cited work.

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-09T21:35:36.635254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation d1dc246d-433e-41a1-b2f9-353d0a41600d · inbound

Integrating Implicit and Explicit Relational Biases through Graph-Based Multiple Instance Learning: A Case Study in Skin Lesion Diagnosis cites this paper.

Integrating Implicit and Explicit Relational Biases through Graph-Based Multiple Instance Learning: A Case Study in Skin Lesion Diagnosis The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T18:57:21.377981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.