Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T05:36:44.790811Z
Paper Citation Record · LEDGER
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics
As of 20 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2508.01490.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
63 of 63 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8883c63d-1436-4d51-9777-bb4bb21f1e04 · outbound
This paper cites write newline.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics write newline
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation c86df5f1-d321-407a-9289-99bc26212aaf · outbound
This paper cites Atlas: A novel pathology foundation model by mayo clinic, charit\'e, and aignostics, 2025.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Atlas: A novel pathology foundation model by mayo clinic, charit\'e, and aignostics, 2025
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f08e93f5-00cd-4a3c-adee-1f5fe71454a9 · outbound
This paper cites Song, Luca Weishaupt, Ahrong Kim, Guillaume Jaume, Drew F.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Song, Luca Weishaupt, Ahrong Kim, Guillaume Jaume, Drew F
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 835cadb6-501c-44ed-95b4-6ef2dc510b89 · outbound
This paper cites Super-resolved spatial transcriptomics by deep data fusion.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Super-resolved spatial transcriptomics by deep data fusion
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation 373eb5d3-e885-4b0d-8063-02e80f9fecc1 · outbound
This paper cites Schoenfeld, and Chad Vanderbilt.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Schoenfeld, and Chad Vanderbilt
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 98361def-b61c-4c8a-aa5f-ebba7d774d03 · outbound
This paper cites Emerging properties in self-supervised vision transformers.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Emerging properties in self-supervised vision transformers
Reference 6
- Resolution
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Source-reported events for the cited work
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Observation ade58408-0ca1-4569-9099-863d70eecb08 · outbound
This paper cites Towards a general-purpose foundation model for computational pathology.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Towards a general-purpose foundation model for computational pathology
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c6118fe4-b249-41f6-8859-89ca07ba3782 · outbound
This paper cites Tran, Yiwei Xiao, Shengyu Li, Vrutant V.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Tran, Yiwei Xiao, Shengyu Li, Vrutant V
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation dab9ed30-2d17-4ba1-970b-171eaa559d2d · outbound
This paper cites scgpt: toward building a foundation model for single-cell multi-omics using generative ai.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics scgpt: toward building a foundation model for single-cell multi-omics using generative ai
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation 355e35e8-06de-4abf-b8ff-9ad2993ac5fe · outbound
This paper cites Contrastive vision-language pre-training with limited resources.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Contrastive vision-language pre-training with limited resources
Reference 10
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c1c06886-3e69-4fd1-b56a-1017a27e0519 · outbound
This paper cites Geneformer: Learned gene compression using transformer-based context modeling.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Geneformer: Learned gene compression using transformer-based context modeling
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 79fcc4d1-e299-4878-90e4-c7aff154a3b4 · outbound
This paper cites Navia, Nicolo Fusi, Srivatsan Raghavan, Peter S.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Navia, Nicolo Fusi, Srivatsan Raghavan, Peter S
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation 76b49cbd-f726-4b1e-8943-dd22083913f5 · outbound
This paper cites Multimodal Whole Slide Foundation Model for Pathology.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Multimodal Whole Slide Foundation Model for Pathology
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation 4f86d1e8-aeb3-4353-bdb5-44934f51eb84 · outbound
This paper cites Distilling foundation models for robust and efficient models in digital pathology, 2025.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Distilling foundation models for robust and efficient models in digital pathology, 2025
Reference 14
- Resolution
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Source-reported events for the cited work
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Observation 1d49d71f-d141-4545-a122-8807f4373c8e · outbound
This paper cites Large-scale foundation model on single-cell transcriptomics.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Large-scale foundation model on single-cell transcriptomics
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 82e52781-712a-42d7-a6e9-ed53ec66861d · outbound
This paper cites Integrating spatial gene expression and breast tumour morphology via deep learning.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Integrating spatial gene expression and breast tumour morphology via deep learning
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e1832eda-3308-4c7e-b08f-d624b393638a · outbound
This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen
Reference 17
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35ca6e0e-d330-4046-9ec5-4e4fb5ad11e0 · outbound
This paper cites Montine, and James Zou.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Montine, and James Zou
Reference 18
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6bc787c9-8d10-48b0-9d38-2f843c64a592 · outbound
This paper cites Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C
Reference 19
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b0494301-10c0-4e8b-b18f-b8d90c3f6430 · outbound
This paper cites Quilt-1M: One Million Image-Text Pairs for Histopathology.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Quilt-1M: One Million Image-Text Pairs for Histopathology
Reference 20
- Resolution
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Source-reported events for the cited work
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Observation e448e946-6b4b-4716-9adf-7958c6ff9052 · outbound
This paper cites Openclip, 2021.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Openclip, 2021
Reference 21
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation decec8b0-703c-4032-a157-fc491129b4cf · outbound
This paper cites Hest-1k: A dataset for spatial transcriptomics and histology image analysis.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Hest-1k: A dataset for spatial transcriptomics and histology image analysis
Reference 22
- Resolution
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Source-reported events for the cited work
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Observation 948bd05c-89bc-4fe2-8146-dd5185a0e5da · outbound
This paper cites Chen, Drew F.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Chen, Drew F
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5bf60a15-eeb7-4fda-b5e9-3a9c67bde109 · outbound
This paper cites Modeling dense multimodal interactions between biological pathways and histology for survival prediction, 2024 c.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Modeling dense multimodal interactions between biological pathways and histology for survival prediction, 2024 c
Reference 24
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fca72e1c-8069-4fcd-a1bb-57dec35e16e8 · outbound
This paper cites Song, Richard J.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Song, Richard J
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 27d52d13-3c00-403a-8236-263b3f30f025 · outbound
This paper cites o lscher, Tri Q. Nguyen, Jesper Kers, Roman D. B \.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics o lscher, Tri Q. Nguyen, Jesper Kers, Roman D. B \
Reference 26
- Resolution
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Source-reported events for the cited work
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Observation ed64d291-8637-4f6a-afc9-1bda7d485580 · outbound
This paper cites Pathomclip: Connecting tumor histology with spatial gene expression via locally enhanced contrastive learning of pathology and single-cell foundation model.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Pathomclip: Connecting tumor histology with spatial gene expression via locally enhanced contrastive learning of pathology and single-cell foundation model
Reference 27
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a9b4dc2a-7b53-4e62-ac84-8ea830d3c296 · outbound
This paper cites An integrated tcga pan-cancer clinical data resource to drive high-quality survival outcome analytics.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics An integrated tcga pan-cancer clinical data resource to drive high-quality survival outcome analytics
Reference 28
- Resolution
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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 42bdd5a2-a38c-43a1-b58b-325d3dbc5e20 · outbound
This paper cites Deep generative modeling for single-cell transcriptomics.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Deep generative modeling for single-cell transcriptomics
Reference 29
- Resolution
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Observation 17dbd77b-341b-409f-897a-7202cedfb179 · outbound
This paper cites A visual-language foundation model for computational pathology.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics A visual-language foundation model for computational pathology
Reference 30
- Resolution
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Source-reported events for the cited work
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Observation def5f0a1-a7b8-424d-9296-b4e7c67a5b91 · outbound
This paper cites A multimodal generative ai copilot for human pathology.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics A multimodal generative ai copilot for human pathology
Reference 31
- Resolution
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Observation 13379a2c-8a83-4280-9844-37a064ab5c08 · outbound
This paper cites Benchmarking atlas-level data integration in single-cell genomics.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Benchmarking atlas-level data integration in single-cell genomics
Reference 32
- Resolution
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Source-reported events for the cited work
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Observation 08b46de9-7ab7-43f4-904c-19cc95c78975 · outbound
This paper cites Pathbench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology, 2025.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Pathbench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology, 2025
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation afc72521-1ec8-4292-90ec-578300f3dbd9 · outbound
This paper cites Yamauchi, Isaac Virshup, Elyas Heidari, Tim Treis, Wouter-Michiel Vierdag, Marcella Toth, Sonja Stockhaus, Rahul B.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Yamauchi, Isaac Virshup, Elyas Heidari, Tim Treis, Wouter-Michiel Vierdag, Marcella Toth, Sonja Stockhaus, Rahul B
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8c381126-409f-44d2-be0e-224d4b673c19 · outbound
This paper cites Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping, 2025.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping, 2025
Reference 35
- Resolution
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Observation cfb05ed4-65ea-4923-8782-25c631603013 · outbound
This paper cites Unsupervised deep disentangled representation of single-cell omics.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Unsupervised deep disentangled representation of single-cell omics
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f620debc-5cde-49d2-b13e-fad1b85a3446 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics DINOv2: Learning Robust Visual Features without Supervision
Reference 37
- Resolution
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Source-reported events for the cited work
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Observation 197a3e7c-3cdd-451a-bdcd-b51f2c593f3a · outbound
This paper cites Spatial components of molecular tissue biology.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Spatial components of molecular tissue biology
Reference 38
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0420772a-fb2f-42d3-b55d-a5887fd0608a · outbound
This paper cites Moving closer towards a comprehensive view of tumor biology and microarchitecture using spatial transcriptomics.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Moving closer towards a comprehensive view of tumor biology and microarchitecture using spatial transcriptomics
Reference 39
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fa24f5de-68ba-4cd8-8faf-4ad39970c2ae · outbound
This paper cites Learning transferable visual models from natural language supervision.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Learning transferable visual models from natural language supervision
Reference 40
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b1a43759-34a1-4230-a3c8-41e2cfc11e79 · outbound
This paper cites Exploring tissue architecture using spatial transcriptomics.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Exploring tissue architecture using spatial transcriptomics
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:36:45.654361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b1b41bd8-6c26-4a13-9b9f-36ee374d49a0 · outbound
This paper cites Universal cell embeddings: A foundation model for cell biology.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Universal cell embeddings: A foundation model for cell biology
Reference 42
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6e3eda38-b1f6-4bee-aa16-191eeecd938c · outbound
This paper cites H-optimus-0, 2024.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics H-optimus-0, 2024
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:36:45.588421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0c549adb-b4e4-4adf-a2f7-0012f673170d · outbound
This paper cites Nicheformer: a foundation model for single-cell and spatial omics.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Nicheformer: a foundation model for single-cell and spatial omics
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:36:45.565290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ceaf244e-8a0a-4113-9fb8-207cb641b399 · outbound
This paper cites A deep learning model to predict RNA -seq expression of tumours from whole slide images.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics A deep learning model to predict RNA -seq expression of tumours from whole slide images
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:36:45.525544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 46434532-6a60-4252-9133-f820db22e174 · outbound
This paper cites Kunz, Juan A.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Kunz, Juan A
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:36:45.499598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b379101e-d767-473d-8722-9853f4236cf0 · outbound
This paper cites Generating highly accurate pathology reports from gigapixel whole slide images with histogpt.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Generating highly accurate pathology reports from gigapixel whole slide images with histogpt
Reference 47
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 72a9f0c3-9235-426a-b903-bdce313c127e · outbound
This paper cites Molecular-driven Foundation Model for Oncologic Pathology.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Molecular-driven Foundation Model for Oncologic Pathology
Reference 48
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3aeb2f53-fc19-4df6-af9d-1085d4f69985 · outbound
This paper cites Williams, Nicholas M.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Williams, Nicholas M
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:36:45.442798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 62e78b30-8f09-48dc-8792-03cfa8ef02f4 · outbound
This paper cites A foundation model for clinical-grade computational pathology and rare cancers detection.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics A foundation model for clinical-grade computational pathology and rare cancers detection
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:36:45.407465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 73c735b4-5f0c-413e-ba06-d9b4c92e74e8 · outbound
This paper cites Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:36:45.388233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 67dba3d3-51f5-4aa6-868b-6ed71f963fcf · outbound
This paper cites scgpt-spatial: Continual pretraining of single-cell foundation model for spatial transcriptomics.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics scgpt-spatial: Continual pretraining of single-cell foundation model for spatial transcriptomics
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:36:45.357598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5aaee62b-90e1-4128-be23-1ca9226b9a1a · outbound
This paper cites Transformer-based unsupervised contrastive learning for histopathological image classification.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Transformer-based unsupervised contrastive learning for histopathological image classification
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:36:45.331480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 51784aec-d918-4f1f-9dff-b541066a08f8 · outbound
This paper cites Retccl: Clustering-guided contrastive learning for whole-slide image retrieval.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Retccl: Clustering-guided contrastive learning for whole-slide image retrieval
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:36:45.299644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 73493bd8-664e-4887-b5a9-7c9e27800012 · outbound
This paper cites The cancer genome atlas pan-cancer analysis project.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics The cancer genome atlas pan-cancer analysis project
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:36:45.265815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 56ac51e5-c367-4fad-9247-1e3bd9ce3283 · outbound
This paper cites SCANPY : large-scale single-cell gene expression data analysis.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics SCANPY : large-scale single-cell gene expression data analysis
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:36:45.224778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1af7e9ea-b883-4084-a3a0-293b03c59085 · outbound
This paper cites Nirschl, Joel Neal, Maximilian Diehn, Sen Yang, and Ruijiang Li.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Nirschl, Joel Neal, Maximilian Diehn, Sen Yang, and Ruijiang Li
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:36:45.203141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e119abec-4ad6-4f2a-90be-12ff760d85f6 · outbound
This paper cites Spatially resolved gene expression prediction from histology images via bi-modal contrastive learning.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Spatially resolved gene expression prediction from histology images via bi-modal contrastive learning
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:36:45.169549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7b24b661-cf71-4e48-b559-7c652b4b7a10 · outbound
This paper cites A whole-slide foundation model for digital pathology from real-world data.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics A whole-slide foundation model for digital pathology from real-world data
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:36:45.125753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9b26c7d2-ff59-488c-b0bf-69492cb58693 · outbound
This paper cites Sigmoid loss for language image pre-training, 2023.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Sigmoid loss for language image pre-training, 2023
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:36:44.767357Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2bbf966-49f8-4b5f-aee3-ebd3d39e6b4e · outbound
This paper cites Accelerating data processing and benchmarking of ai models for pathology, 2025.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Accelerating data processing and benchmarking of ai models for pathology, 2025
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:36:45.089791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8a7e388f-ab7d-46aa-835a-ef8dbac8f23f · outbound
This paper cites Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:36:45.063340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3e47b16e-2e61-4b7d-afaf-3b0f9add296b · outbound
This paper cites Conrad, Emily J.
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Conrad, Emily J
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T05:36:45.028296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.