Paper Citation Record · LEDGER

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology

As of 9 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2505.21928.

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

pith.paper-citation-record.v1
2505.21928 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:26:39.674919Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T00:58:28.390860Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:36:24.490729Z

Reference resolution

52 of 52 outbound references displayed

verified exact1
verified fuzzy37
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8481021-ce1c-4237-a647-205dfe660553 · outbound

This paper cites Global burden of five major types of gastrointestinalcancer[J].PrzGastroenterol.2024;19(3):236–254.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Global burden of five major types of gastrointestinalcancer[J].PrzGastroenterol.2024;19(3):236–254

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:47.428588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 40921485-5b94-429c-918f-83a3e043fbd8 · outbound

This paper cites Concomitant radiosurgical and targeted oncological treatment improves the outcome of patients with brain metastases from gastrointestinalcancer.RadiatOncol.2023Dec9;18(1):197.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Concomitant radiosurgical and targeted oncological treatment improves the outcome of patients with brain metastases from gastrointestinalcancer.RadiatOncol.2023Dec9;18(1):197

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:47.310031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad047c47-0c70-43c0-bb10-6bfd72a39488 · outbound

This paper cites Multiscale pretraining enables robust representation.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Multiscale pretraining enables robust representation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:48.260517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ffde322a-c4e3-4741-a5a3-3ef90da7819e · outbound

This paper cites an unresolved cited work.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:26:48.035757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9197a4bb-3981-49b6-86b8-cf7db312399d · outbound

This paper cites an unresolved cited work.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:26:47.791320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 71d12b1b-5e7f-427a-8fab-af13e501a3d9 · outbound

This paper cites In few-shot learning, the choice of 'way' has a significant impact on task difficulty and model performance.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology In few-shot learning, the choice of 'way' has a significant impact on task difficulty and model performance

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:47.643903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4919a661-591b-408a-a6a2-489b39df557b · outbound

This paper cites The ProtoNet first convert all training images into embedding vectors, then performs mean-poolingonembeddingsofthesamecategorytoobtainprototyperepresentations.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology The ProtoNet first convert all training images into embedding vectors, then performs mean-poolingonembeddingsofthesamecategorytoobtainprototyperepresentations

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:47.551550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f3f488a-5721-47f4-8702-6325afe6a860 · outbound

This paper cites Global Cancer Observatory: Cancer Today (Version1.0).InternationalAgencyforResearchonCancer; 2024.AccessedFebruary 1,2024.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Global Cancer Observatory: Cancer Today (Version1.0).InternationalAgencyforResearchonCancer; 2024.AccessedFebruary 1,2024

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:47.186735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7529510b-f870-4f25-86cd-a30e6f1703be · outbound

This paper cites Practical Considerations in Diagnosing and Managing Early-OnsetGICancers[J].JClinOncol.2022Aug20;40(24):2662–2680.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Practical Considerations in Diagnosing and Managing Early-OnsetGICancers[J].JClinOncol.2022Aug20;40(24):2662–2680

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:47.066097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b199a8b8-c859-4f0f-8b5f-30951b5927be · outbound

This paper cites Diagnosis to dissection: AI's role in earlydetection andsurgical intervention for gastric cancer[J].JRobot Surg.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Diagnosis to dissection: AI's role in earlydetection andsurgical intervention for gastric cancer[J].JRobot Surg

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:46.897213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 118c0fdc-cae2-405b-b14d-1fab4c5e0b72 · outbound

This paper cites an unresolved cited work.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:26:46.701233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6d604134-808b-417e-b6a5-67ab27e1a574 · outbound

This paper cites an unresolved cited work.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:26:46.550495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 70e1bae6-4911-4963-9e95-0f937a5a4afb · outbound

This paper cites Opening the doors of precision medicine: novel tools to assess intestinal barrier in inflammatory bowel disease and colitis-associatedneoplasia[J].Gut,2024,73(10):1749–1762.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Opening the doors of precision medicine: novel tools to assess intestinal barrier in inflammatory bowel disease and colitis-associatedneoplasia[J].Gut,2024,73(10):1749–1762

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:46.405088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8b900e5f-66cd-48a8-8231-cf1a8c815ce7 · outbound

This paper cites Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy[J].

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy[J]

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:46.190382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 329815be-f5bc-4b06-8be1-b25d7e3b4334 · outbound

This paper cites Sequential injection-electrocoagulation vs.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Sequential injection-electrocoagulation vs

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:46.015546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c8473f24-2c8a-4276-9539-a622e1456931 · outbound

This paper cites Updated evaluation of endoscopic submucosal dissection versus surgery for early gastric cancer: A systematic review and meta-analysis[J].InternationalJournalofSurgery,2020,73:28–41.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Updated evaluation of endoscopic submucosal dissection versus surgery for early gastric cancer: A systematic review and meta-analysis[J].InternationalJournalofSurgery,2020,73:28–41

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:45.833130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a62d9d95-f597-4d33-90ff-d7683acd7373 · outbound

This paper cites Incidence of metachronous cancer after endoscopic submucosal dissection: a comparison between undifferentiated-type and differentiated-type early gastric cancer[J].

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Incidence of metachronous cancer after endoscopic submucosal dissection: a comparison between undifferentiated-type and differentiated-type early gastric cancer[J]

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:45.621320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f8369d11-90eb-4541-ae2e-73c7eae54bee · outbound

This paper cites Endoscopic submucosal dissection forearlygastriccancer:alarge-scalefeasibilitystudy[J].Gut,2009,58(3):331–336.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Endoscopic submucosal dissection forearlygastriccancer:alarge-scalefeasibilitystudy[J].Gut,2009,58(3):331–336

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:45.492653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 86ce1583-d49d-494e-bc6f-3edfa21a3a19 · outbound

This paper cites Surgical management of gastric cancer: a review[J].JAMAsurgery,2022,157(5):446–454.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Surgical management of gastric cancer: a review[J].JAMAsurgery,2022,157(5):446–454

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:45.294962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 490fc85a-9c3b-4334-ba1e-d0887259c78a · outbound

This paper cites Focus on gastric cancer[J].

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Focus on gastric cancer[J]

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:45.152692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a8fd647d-67ad-40a6-b718-7b2abebc6b79 · outbound

This paper cites Staging and surgical approaches in gastric cancer:Asystematicreview[J].Cancertreatmentreviews,2018,63:104–115.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Staging and surgical approaches in gastric cancer:Asystematicreview[J].Cancertreatmentreviews,2018,63:104–115

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:44.938597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3c9e6930-8d49-4d00-aec6-2eadc3b02ea3 · outbound

This paper cites Gastric cancer treatment: recent progress and future perspectives[J].Journalofhematology&oncology,2023,16(1):57.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Gastric cancer treatment: recent progress and future perspectives[J].Journalofhematology&oncology,2023,16(1):57

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:44.752633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1241cfde-2760-4b50-8f65-2d8bb53ba13a · outbound

This paper cites Hallmarks of artificial intelligence contributionstoprecisiononcology[J].NatureCancer,2025:1–15.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Hallmarks of artificial intelligence contributionstoprecisiononcology[J].NatureCancer,2025:1–15

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:44.559131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 319813e1-4b52-49ff-9bb1-18a576dafcf5 · outbound

This paper cites A comprehensive assessment of artificial intelligence applications for cancer diagnosis[J].Artificial Intelligence Review, 2024, 57(7):179.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology A comprehensive assessment of artificial intelligence applications for cancer diagnosis[J].Artificial Intelligence Review, 2024, 57(7):179

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:44.338047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d435b31d-7bb0-4066-8d90-ee68f20a4128 · outbound

This paper cites A pathologist–AI collaboration framework for enhancing diagnostic accuracies and efficiencies[J].

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology A pathologist–AI collaboration framework for enhancing diagnostic accuracies and efficiencies[J]

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:44.120028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 134fed3e-ea2d-4d21-9db8-3c4b6ac83a50 · outbound

This paper cites AI in digital pathology: automated histopathological analysis for cancergradingandprognosticoutcomeprediction[J].IntJComputApplTechnolRes, 2022,11(11):400–12.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology AI in digital pathology: automated histopathological analysis for cancergradingandprognosticoutcomeprediction[J].IntJComputApplTechnolRes, 2022,11(11):400–12

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:43.913986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 67542027-66b7-4489-9d77-3e439411bb84 · outbound

This paper cites an unresolved cited work.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:26:43.664003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cff89dcf-51e8-4d57-ad1e-d1a26f2f1648 · outbound

This paper cites Foundation Models Defining a New Era in Vision:ASurveyandOutlook[J].IEEETransactionsonPatternAnalysisandMachine Intelligence,2025.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Foundation Models Defining a New Era in Vision:ASurveyandOutlook[J].IEEETransactionsonPatternAnalysisandMachine Intelligence,2025

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:43.448157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d5527cb2-28d6-43fb-ae77-6e795b4f0023 · outbound

This paper cites An empirical study of training self-supervised vision transformers.In:ProceedingsIEEE/CVFIntConfComputVis.2021:9640–9649.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology An empirical study of training self-supervised vision transformers.In:ProceedingsIEEE/CVFIntConfComputVis.2021:9640–9649

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:43.225545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a2b8104-a8b1-4a81-be1d-f8800c896e6c · outbound

This paper cites Foundation Model for Predicting Prognosis and Adjuvant Therapy Benefit From Digital Pathology in GI Cancers[J].

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Foundation Model for Predicting Prognosis and Adjuvant Therapy Benefit From Digital Pathology in GI Cancers[J]

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:43.019404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e3d58e9c-7cc3-401c-9926-c7412425937e · outbound

This paper cites CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:37.468744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4c8b71f-445a-48e3-a488-19016cc7320f · outbound

This paper cites A pathology foundation model for cancer diagnosisandprognosisprediction[J].Nature,2024,634(8035):970–978.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology A pathology foundation model for cancer diagnosisandprognosisprediction[J].Nature,2024,634(8035):970–978

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:42.836172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 087ec1bd-f9dc-4869-8ebc-ad11aa536c2a · outbound

This paper cites an unresolved cited work.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:26:42.648336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6fd2c5d2-5da4-44a1-a45a-1d3caa67392a · outbound

This paper cites A whole-slide foundation model for digital pathologyfromreal-worlddata[J].Nature.2024;630:181–188.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology A whole-slide foundation model for digital pathologyfromreal-worlddata[J].Nature.2024;630:181–188

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:42.435531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3af57d58-4608-4b23-85e0-34d7e982f58a · outbound

This paper cites Multimodal Whole Slide Foundation Model for Pathology.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Multimodal Whole Slide Foundation Model for Pathology

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:37.892246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation befef4a4-4882-4f06-904b-eae5cc73e5a7 · outbound

This paper cites MSCL-Net: Unleashing thepower of multi-scale and cross-layer learning in pathology image classification[J].

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology MSCL-Net: Unleashing thepower of multi-scale and cross-layer learning in pathology image classification[J]

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:42.222226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d944ca4-ecf6-4103-98f1-bdcc97d71689 · outbound

This paper cites Multi-Scale Dynamic Sparse Token Multi-Instance Learning for Pathology Image Classification[J].

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Multi-Scale Dynamic Sparse Token Multi-Instance Learning for Pathology Image Classification[J]

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:42.045230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eb5e680e-30e6-4bb9-9827-b6be4604062e · outbound

This paper cites Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning[J].

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning[J]

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:41.827941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2f1061d8-e565-4a9c-abb0-aab714037b4f · outbound

This paper cites Reinforcement Learning Finetunes Small Subnetworks in Large Language Models[J].

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Reinforcement Learning Finetunes Small Subnetworks in Large Language Models[J]

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:38.363753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 334ed5dd-db09-433e-9b6c-cd103daf7ca4 · outbound

This paper cites EMORL: Ensemble Multi-Objective Reinforcement Learning for Efficient and Flexible LLM Fine-Tuning.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology EMORL: Ensemble Multi-Objective Reinforcement Learning for Efficient and Flexible LLM Fine-Tuning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:38.470669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d6a6de4-fa73-4ec8-b2ce-6a4df7c5f4fc · outbound

This paper cites Transfer learning with adaptive fine-tuning[J].

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Transfer learning with adaptive fine-tuning[J]

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:41.645338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7d37e720-9627-43f2-97c7-23141b14b406 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology DINOv2: Learning Robust Visual Features without Supervision

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:38.709616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9145db3f-c59c-4271-9204-fb5d20f8a7bb · outbound

This paper cites Attention-based deep multiple instance learning[C]//Internationalconferenceonmachinelearning.PMLR,2018:2127–2136.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Attention-based deep multiple instance learning[C]//Internationalconferenceonmachinelearning.PMLR,2018:2127–2136

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:41.457001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ce791e27-67ca-4a00-bb47-f1035ab439ea · outbound

This paper cites TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers[J].

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers[J]

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:41.270884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1aa8e5f6-0347-4b53-a41c-ea3f99dd7b24 · outbound

This paper cites Clinical and pathological staging of gastric cancer: Current perspectives and implications[J].

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Clinical and pathological staging of gastric cancer: Current perspectives and implications[J]

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:41.077057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6e4a3ccb-b3e5-434e-be24-368a8b0a9038 · outbound

This paper cites SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:39.070025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc7c681e-0a0d-43a5-bafa-4173d8830bec · outbound

This paper cites tumor" ROI, we selected the top N₁ ROIs withthehighestclassificationconfidenceforthe.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology tumor" ROI, we selected the top N₁ ROIs withthehighestclassificationconfidenceforthe

Reference 53

Resolution: verified exact; raw_fallback, observed 2026-08-07T13:26:39.896012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1c403314-dc69-417b-b770-e86e64b52866 · outbound

This paper cites An empirical study of training self-supervised vision transformers[C]//Proceedings of the IEEE/CVF international conference on computer vision.2021:9640–9649.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology An empirical study of training self-supervised vision transformers[C]//Proceedings of the IEEE/CVF international conference on computer vision.2021:9640–9649

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:40.907567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5befb3c5-3480-4260-ae2d-1e391d59d6ae · outbound

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

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Data-efficient and weakly supervised computational pathology on whole-slide images[J]

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:40.664675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e6fd67ba-eb5d-401e-b899-74c52ca20c28 · outbound

This paper cites Transmil: Transformer based correlated multiple instance learning for whole slide image classification[J].

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Transmil: Transformer based correlated multiple instance learning for whole slide image classification[J]

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:40.460848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 799b0ca1-baac-49a9-a9d7-d733e27201b3 · outbound

This paper cites an unresolved cited work.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:26:40.223907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ef2dbc81-fb6a-476d-82dd-72cc05abdfe9 · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:39.674919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 21689152-bcd0-4685-811d-abe6117bd244 · inbound

Beyond ViT Tokens: Masked-Diffusion Pretrained Convolutional Pathology Foundation Model for Cell-Level Dense Prediction cites this paper.

Beyond ViT Tokens: Masked-Diffusion Pretrained Convolutional Pathology Foundation Model for Cell-Level Dense Prediction Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:36:24.494491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.