Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:02:53.127431Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 11 inbound Pith citation observations for arXiv:2505.20202.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:02:53.127431Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:48:34.942358Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
35 of 35 outbound references displayed
External citation measurements
2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Observation 4e78d08d-ac3e-46e9-92b0-44a0d3d83787 · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology Unresolved cited work
Reference 3
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Observation dd5a2358-6fd9-43f4-bc03-2586aba4a9cf · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology & Kather, J
Reference 4
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Observation a3486f85-e294-4319-8bad-b3a5a3322c30 · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology advances10, eadi0302 (2024)
Reference 5
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Observation 7b13324a-48c5-4a9a-a910-3496eaa7aac8 · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology DINOv2: Learning Robust Visual Features without Supervision
Reference 6
Source-reported events for the cited work
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Observation 17ccc0a3-3f95-48a0-ac8a-77d7bb8591ff · outbound
Reference 8
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Observation f13cf43f-59f8-485e-8b80-aa1fbc7f1c0c · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology CoCa: Contrastive Captioners are Image-Text Foundation Models
Reference 10
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Observation 3354bdcf-0c83-49ec-b35b-41ce9d671033 · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology Foundation Models in Computational Pathology: A Review of Challenges, Opportunities, and Impact
Reference 13
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Observation 3015e6d1-8b7d-403c-abab-51ac773b82ee · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology Unresolved cited work
Reference 14
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Observation f8bf12c4-8aed-4f7d-bbc8-01d8d984faa0 · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology Unresolved cited work
Reference 15
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Observation 81cb23cb-f724-4505-9f76-02571e7f9fc4 · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology Unresolved cited work
Reference 17
Source-reported events for the cited work
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Observation ec2bf9a4-cd8c-4da8-be24-6612ca178044 · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology Benchmarking foundation models as feature extractors for weakly-supervised computational pathology
Reference 18
Source-reported events for the cited work
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Observation f21f3095-8de9-4a89-8286-1c4599b5fe68 · outbound
Reference 19
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Observation 24c64853-524c-4eee-82ee-c533d4658b9f · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology How Good is my Histopathology Vision-Language Foundation Model? A Holistic Benchmark
Reference 20
Source-reported events for the cited work
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Observation ca5858ad-4531-4001-9ac3-57f625514265 · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology Evaluating Computational Pathology Foundation Models for Prostate Cancer Grading under Distribution Shifts
Reference 21
Source-reported events for the cited work
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Observation c036a5a0-8fbe-4f84-bcbb-15473bf5424d · outbound
Reference 22
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Observation 44a1a34f-1ada-4fad-af43-adb310cf97a3 · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology Commun.16, 3640 (2025)
Reference 23
Source-reported events for the cited work
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Observation 587e7307-4e57-4a43-9bd0-4b791e625ac4 · outbound
Reference 24
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Observation ea9b71e9-3ae9-4c26-8b47-a5ac754c396b · outbound
Reference 25
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Observation d50ab7e2-e69c-46be-bbd8-7d169105965a · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology image analysis81, 102559 (2022)
Reference 26
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Observation 47b781be-cddb-4283-b586-1d0e2228c037 · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology Unresolved cited work
Reference 27
Source-reported events for the cited work
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Observation 66c8ad61-ed7d-4966-ba95-ef03902d9f6e · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology J.et al.Towards a general-purpose foundation model for computational pathology.Nat
Reference 28
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Observation 372fa194-0750-49de-81c9-5856bdcc9f5e · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology medicine30, 2924–2935 (2024)
Reference 29
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Observation f23eafd2-1787-4dc5-92d3-b28747ae1705 · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology Hibou: A Family of Foundational Vision Transformers for Pathology
Reference 31
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Observation 68af99e0-9e28-4352-848f-97b91c3e7984 · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology Unresolved cited work
Reference 32
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Observation 88c9648f-3835-4b0e-bd8b-8f6658964b2d · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
Reference 33
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Observation 4ac76458-7094-499c-8f75-5825a81ca08f · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology Phikon-v2, A large and public feature extractor for biomarker prediction
Reference 35
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Observation 53386f28-b95f-4f25-b620-bf5f523d1253 · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology Unresolved cited work
Reference 37
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Observation 7dc3c40c-ff45-47ed-bdda-2b3463e1f716 · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology 40.Xiang, J.et al.A vision–language foundation model for precision oncology.Nature1–10 (2025)
Reference 39
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Observation ba0fc623-f168-432b-9548-04c2334f230c · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model
Reference 41
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Observation 908f07d5-9b99-4af5-bee9-cdd50d334381 · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology Unresolved cited work
Reference 42
Source-reported events for the cited work
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Observation 6dfb0b4c-3cfa-4a48-b9f1-6881c2b8759d · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology InInternational Conference on Learning Representations
Reference 43
Source-reported events for the cited work
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Observation f92e69ec-913a-47f2-b7e2-59fedb5db035 · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology neural information processing systems35, 25278–25294 (2022)
Reference 45
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Observation 0635f593-d72b-45e2-a6a0-703cdd79739d · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology Molecular-driven Foundation Model for Oncologic Pathology
Reference 46
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Observation c668d1a2-83d7-43bf-8a66-a51ae25fe936 · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology & Welling, M
Reference 50
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Observation 4c01755b-bc03-43c3-b691-53c8fb965651 · outbound
PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology Individual comparisons by ranking methods
Reference 51
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Observation c2d5183d-f704-4f1e-bce1-628616e42494 · inbound
OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology
Reference 19
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Observation 2ec8ae78-0c15-491b-9ad4-1f11b2ee84dc · inbound
Towards Robust Foundation Models for Digital Pathology PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology
Reference 26
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Observation 96df842c-5ab7-477c-bb3f-d022b1ee0951 · inbound
A Unified Low-level Foundation Model for Enhancing Pathology Image Quality PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology
Reference 5
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Observation 432b8b0c-931d-4dbb-b0bb-86dfe36f39f9 · inbound
BRIGHT: A Collaborative Generalist-Specialist Foundation Model for Breast Pathology PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology
Reference 27
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Observation 079b0c37-b851-4ed5-ac9e-777f0ad84b84 · inbound
Plug-and-Play Logit Fusion for Heterogeneous Pathology Foundation Models PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology
Reference 16
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Observation 781bde3b-2918-4558-8de6-3677af245ccc · inbound
Benchmarking Pathology Foundation Models for Breast Cancer Survival Prediction PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology
Reference 26
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Observation 80eb444c-d0d2-465c-ae8d-17b2658596a9 · inbound
A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology
Reference 32
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Observation ee5115f0-8130-4cf1-8eec-2ec6e29a390b · inbound
A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology
Reference 43
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Observation 4cf009f5-6527-4161-bc6a-d186d06690a4 · inbound
Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology
Reference 22
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Observation 2bdcf622-c825-48e5-ada2-1ff43b810da8 · inbound
A Pathology Foundation Model for Gastric Cancer with Real-World Validation PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology
Reference 20
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Observation 46c1e568-7e3f-4711-b3fa-d8762b17df4a · inbound
Democratizing and accelerating AI-driven pathology research through agentic intelligence PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology
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