Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:26:39.674919Z
Paper Citation Record · LEDGER
Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology
As of 16 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-12T00:58:28.390860Z
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.