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Paper Citation Record · LEDGER

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology

As of 9 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2607.20896.

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

pith.paper-citation-record.v1
2607.20896 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:09:47.084358Z

measured 62 of 62 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

62 of 62 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ac1ed6eb-02a8-4300-9bfe-8b796a891b7e · outbound

This paper cites Science , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Science , volume=

Reference 1

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Observation 87d9fb77-d771-4f15-88dc-506fd152fe41 · outbound

This paper cites Nature biomedical engineering , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Nature biomedical engineering , volume=

Reference 2

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Observation 33c14e62-16f8-43c0-9042-87de613a1502 · outbound

This paper cites BioRxiv , pages=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology BioRxiv , pages=

Reference 3

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Observation be78174b-6661-4235-ab20-59da3d127616 · outbound

This paper cites Briefings in Bioinformatics , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Briefings in Bioinformatics , volume=

Reference 4

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Observation 47a3a885-3fc1-42d3-be63-f6ff098e577a · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Advances in Neural Information Processing Systems , volume=

Reference 5

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Observation 4581d17d-8db1-4d04-aff3-fb8522192604 · outbound

This paper cites Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=

Reference 6

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Observation 891d7fea-f91f-43c3-a46a-e978dfcb7069 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 7

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Observation 604ff65a-b143-41bd-a3fd-7ef6714d1607 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on computer vision , pages=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Proceedings of the IEEE/CVF International Conference on computer vision , pages=

Reference 8

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Observation 0392d650-83fe-4b7a-abcd-09ed0e02a449 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 9

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Observation 02617c7f-fe57-4e31-bcf5-2195309f4f0e · outbound

This paper cites Briefings in Bioinformatics , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Briefings in Bioinformatics , volume=

Reference 10

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Observation d848941a-c491-44d6-8a92-7a0609ad1983 · outbound

This paper cites Pattern Recognition , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Pattern Recognition , volume=

Reference 11

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Observation 1a1ee00a-69ed-4e98-9fa9-cbb7356423d4 · outbound

This paper cites 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) , pages=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) , pages=

Reference 12

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Observation 72e8e0c2-6c44-49a5-8be3-c293193ba99d · outbound

This paper cites Medical Image Analysis , pages=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Medical Image Analysis , pages=

Reference 13

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Observation 071aae95-97f3-48bc-80b2-b74e9b67c2c6 · outbound

This paper cites Nature Communications , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Nature Communications , volume=

Reference 14

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Observation 715f377b-4de6-48b4-af18-3c587e42ac97 · outbound

This paper cites A Multimodal Foundation Model of Spatial Transcriptomics and Histology for Biological Discovery and Clinical Prediction.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology A Multimodal Foundation Model of Spatial Transcriptomics and Histology for Biological Discovery and Clinical Prediction

Reference 15

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Observation 83cccdc0-2d80-4b04-9bc7-d294219924c4 · outbound

This paper cites ST-Align: A Multimodal Foundation Model for Image-Gene Alignment in Spatial Transcriptomics.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology ST-Align: A Multimodal Foundation Model for Image-Gene Alignment in Spatial Transcriptomics

Reference 16

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Observation d5538b26-1cb5-4c26-a98d-968db5ee3d82 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 17

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Observation 867709dd-6ab2-48e0-bbf6-13bdb87f55fc · outbound

This paper cites Nature , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Nature , volume=

Reference 18

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Observation 77791463-233c-475b-ad8b-8d73802f88b2 · outbound

This paper cites Nature Reviews Genetics , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Nature Reviews Genetics , volume=

Reference 19

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Observation 4359f24a-0544-4ad3-8f3b-c4538e230bee · outbound

This paper cites Briefings in Bioinformatics , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Briefings in Bioinformatics , volume=

Reference 20

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Observation 3f59173c-143d-464f-9790-b4b85a48bf0b · outbound

This paper cites 2025 , eprint=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology 2025 , eprint=

Reference 21

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Observation fb694371-31d9-4d33-9ac6-73ed2903c674 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Semi-Supervised Classification with Graph Convolutional Networks

Reference 22

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Reference 23

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Observation 91683a3d-03cb-4af1-8cf1-a480aab24ed5 · outbound

This paper cites Advances in neural information processing systems , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Advances in neural information processing systems , volume=

Reference 24

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Observation 87d34beb-3348-40ca-9fa5-a6acc87c3f60 · outbound

This paper cites International conference on machine learning , pages=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology International conference on machine learning , pages=

Reference 25

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Reference 26

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Observation d805cb19-4e29-48ee-be47-ae6dbf9a3c9c · outbound

This paper cites European semantic web conference , pages=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology European semantic web conference , pages=

Reference 27

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Observation 4ea96779-1280-425a-8b11-dc7e77b23dcf · outbound

This paper cites Nature methods , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Nature methods , volume=

Reference 28

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Observation 1c72c3b7-4de2-4127-8ed3-08c38291a914 · outbound

This paper cites Nature communications , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Nature communications , volume=

Reference 29

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Observation bbee1e30-108b-4389-9b90-ebeb49db27ae · outbound

This paper cites Nature communications , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Nature communications , volume=

Reference 30

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Observation 797d29ba-334a-4d9c-bb09-792453d3acc7 · outbound

This paper cites NPB-REC: A non-parametric Bayesian deep-learning approach for undersampled MRI reconstruction with uncertainty estimation , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology NPB-REC: A non-parametric Bayesian deep-learning approach for undersampled MRI reconstruction with uncertainty estimation , volume=

Reference 31

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Observation bc6db137-e346-41f1-8ba2-c9e83c02d260 · outbound

This paper cites Artificial intelligence in medicine , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Artificial intelligence in medicine , volume=

Reference 32

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Observation ccd99c52-85e5-4adc-a8b2-8835eb54291e · outbound

This paper cites Methods , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Methods , volume=

Reference 33

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Observation 0388bf3c-0005-43cb-9c20-fbb48e6780ca · outbound

This paper cites Frontiers in genetics , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Frontiers in genetics , volume=

Reference 34

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Observation 135cf678-13d7-4c4c-b491-c052cdf7d048 · outbound

This paper cites Nature Methods , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Nature Methods , volume=

Reference 35

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Observation 1547a022-3927-44cb-9dc9-2759b599093b · outbound

This paper cites Computational and Structural Biotechnology Journal , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Computational and Structural Biotechnology Journal , volume=

Reference 36

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source=arxiv_source observed=2026-08-01T09:09:39.124844Z digest=sha256:19859178be511ebb04eebc6419c5de051f7ad78bbd977ad1f1048aa3e41c517a

Observation b0558537-220f-4391-926f-8dadf1881c5c · outbound

This paper cites Nature Computational Science , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Nature Computational Science , volume=

Reference 37

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source=arxiv_source observed=2026-08-01T09:09:39.259567Z digest=sha256:01c564dcf986584047cbae327998fba01b5d1c4b26370cf1ae6f99a1f8fc9c23

Observation cc9c6a56-cfcd-4219-8b9b-6683c82ce66f · outbound

This paper cites Advanced Science , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Advanced Science , volume=

Reference 38

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source=arxiv_source observed=2026-08-01T09:09:39.346132Z digest=sha256:5ec8a2fc9da8197b94498d1f0a03eaf51e6c93917701e0824cfd68e403902f1e

Observation da004846-e3f0-4111-a5bc-e2e70bdaebb9 · outbound

This paper cites Advances in neural information processing systems , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Advances in neural information processing systems , volume=

Reference 39

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source=arxiv_source observed=2026-08-01T09:09:39.445858Z digest=sha256:cacf196e58d35a718bce4ee8252a25764b763079a12211c90d415bc67e7bb58c

Observation 0a6c7344-6617-45fe-9c4a-46601bd58d9d · outbound

This paper cites international conference on machine learning , pages=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology international conference on machine learning , pages=

Reference 40

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source=arxiv_source observed=2026-08-01T09:09:39.510862Z digest=sha256:52de538fe0909d1dfa6d05c75d5c994ea2b9eb776d3eaafe354370dd83297783

Observation 9f919895-7d22-4685-ad5b-d46820938ad8 · outbound

This paper cites Advances in neural information processing systems , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Advances in neural information processing systems , volume=

Reference 41

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source=arxiv_source observed=2026-08-01T09:09:39.611603Z digest=sha256:8e2ce1676ee2e53212a408eb9acd0dd7086ac7468b31b49374014b7a6ea43e09

Observation da90a1c6-1c44-4363-bdc6-31dd9f47d898 · outbound

This paper cites A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Reference 42

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source=arxiv_source observed=2026-08-01T09:09:39.703745Z digest=sha256:50c09b42d607c185f234f81007070d1f3c80d69199309795fcd56951462e3a43

Observation 5cf8ba6f-a650-4643-8ba7-ead27af38125 · outbound

This paper cites International conference on machine learning , pages=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology International conference on machine learning , pages=

Reference 43

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no resolver link, observed 2026-08-01T09:09:39.847952Z

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source=arxiv_source observed=2026-08-01T09:09:39.847952Z digest=sha256:c78b67c939a2dfa1b6dfc14ddea210aa854a21ba9a5443d7014a8a0b3385ffed

Observation 3c944b1d-3fc2-4144-8b4e-26f86b2cdb3e · outbound

This paper cites Artificial Intelligence in Medicine , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Artificial Intelligence in Medicine , volume=

Reference 44

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source=arxiv_source observed=2026-08-01T09:09:39.947594Z digest=sha256:3d80f789df22d41e38c200fd638376b9ac5ec265f3058bf1df5be3d3cd4eb02a

Observation c775d2a1-ac63-43b3-820c-e976ef201d99 · outbound

This paper cites Nature communications , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Nature communications , volume=

Reference 45

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source=arxiv_source observed=2026-08-01T09:09:39.993072Z digest=sha256:b2e1bac54e819990bc4f302a1a886177ac7c2cbe291415ce0ddd239ca5494705

Observation 0fc7f413-609c-44ae-addc-38ddd5e27dc3 · outbound

This paper cites Advances in neural information processing systems , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Advances in neural information processing systems , volume=

Reference 46

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no resolver link, observed 2026-08-01T09:09:40.053736Z

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source=arxiv_source observed=2026-08-01T09:09:40.053736Z digest=sha256:c6f08e29634ff70644a50feb470c3fb631341ed96f967b17136b529ef284cb83

Observation 2f1d3ce0-f71a-46b6-87de-7c550862794a · outbound

This paper cites Genome Biology , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Genome Biology , volume=

Reference 47

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source=arxiv_source observed=2026-08-01T09:09:40.126724Z digest=sha256:5a30b7c96b93e540b256ec81509277bb3ec2c8408d5e234367b31e7da21b901a

Observation eb0fc141-3c9c-4b07-a571-2f5e2c93555a · outbound

This paper cites BioRxiv , year=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology BioRxiv , year=

Reference 48

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source=arxiv_source observed=2026-08-01T09:09:40.205617Z digest=sha256:03d8a9f35886f0c9973060092993b76b987b7012969470f0bee928e52483f26b

Observation a73de557-8da5-4e31-b27d-fded87fbabb0 · outbound

This paper cites Nature methods , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Nature methods , volume=

Reference 49

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source=arxiv_source observed=2026-08-01T09:09:40.291962Z digest=sha256:46f18a0037c6eb507e7b9ddbd36c8c0a5e5f3feae39c759545105f7272a9b444

Observation d50b8287-6c02-4607-9801-533e86ac66bb · outbound

This paper cites Nature medicine , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Nature medicine , volume=

Reference 50

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source=arxiv_source observed=2026-08-01T09:09:40.420783Z digest=sha256:a2951ad8dd8ee346f01e47162ed1833161fb3d47e1ec4998b2f87df6b6f9edf8

Observation 9748a16b-702c-4700-8c3f-0fd2bb16b821 · outbound

This paper cites Nature , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Nature , volume=

Reference 51

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source=arxiv_source observed=2026-08-01T09:09:46.904142Z digest=sha256:d3fe923f70b89ad2938b9ad64aea65338c2ef334a09bed6658b6d63947a12438

Observation beeaee6c-25d1-45d4-82ee-ff0ed449e06d · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 52

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source=arxiv_source observed=2026-08-01T09:09:46.940411Z digest=sha256:9dae4e3ca5765835032435a29507f5211571b9c013a0f9c4bf5e4037291e3b50

Observation 59b49221-202f-4f30-90f5-77a6e3c8ed4e · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 53

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source=arxiv_source observed=2026-08-01T09:09:46.975248Z digest=sha256:5a5b6cfc787c2956e12912625ce6b96e1b32f6adf68336cdbf85b40bb02c09cf

Observation 33ff5e11-1a55-4ddd-b6f6-471447b17942 · outbound

This paper cites Nucleic acids research , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Nucleic acids research , volume=

Reference 54

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source=arxiv_source observed=2026-08-01T09:09:47.013233Z digest=sha256:cc6fb174171b8f0cb846784395c2a1f1f28019cb5590378ac96b7db089e4455a

Observation fee856e8-6014-47c2-8a09-9609aa9ae3ca · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 55

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source=arxiv_source observed=2026-08-01T09:09:47.046789Z digest=sha256:238a04bf9daf5754844e06e1e21a049d2a5026fad6a0cc5c2c222d4eb10e350a

Observation 3a8fa7b8-70dd-4ac9-83e1-876172e12e93 · outbound

This paper cites Psychometrika , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Psychometrika , volume=

Reference 56

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source=arxiv_source observed=2026-08-01T09:09:47.059071Z digest=sha256:dc84125ded060325201a7df1fafcf8be040d98332c16d4901b034c3210f0d6e5

Observation d0b240b9-f079-4650-9dd3-3827d0520dc3 · outbound

This paper cites Journal of the Royal statistical society: series B (Methodological) , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Journal of the Royal statistical society: series B (Methodological) , volume=

Reference 57

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source=arxiv_source observed=2026-08-01T09:09:47.063791Z digest=sha256:c6b4a66754164d1d76b76b3cd30e2e5997f765307e507aab32a76471a06677ac

Observation c2633837-b071-4809-bbbf-478ff8c38baf · outbound

This paper cites Monographs on statistics and applied probability , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Monographs on statistics and applied probability , volume=

Reference 58

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source=arxiv_source observed=2026-08-01T09:09:47.068024Z digest=sha256:49077ac6f561c5d9d77826ff035e6398a9d8d918129dec7f3945ee46a52d8841

Observation b9551382-fb62-495d-915f-4f69631d05d5 · outbound

This paper cites 2013 , publisher=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology 2013 , publisher=

Reference 59

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source=arxiv_source observed=2026-08-01T09:09:47.072138Z digest=sha256:683aa4ff842ef3cb20195ba82039ed545ac8d24e927c648f7b432264d1af1f15

Observation 52852b87-cea1-479d-954b-2ad499414527 · outbound

This paper cites Encyclopedia of biostatistics , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Encyclopedia of biostatistics , volume=

Reference 60

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source=arxiv_source observed=2026-08-01T09:09:47.076159Z digest=sha256:f5315d5888945c40418d19e13b77781a2cb5859955f257e00e95dc09aa36f6ed

Observation f263ab2f-404e-4299-b8c5-b30a0ed92ea9 · outbound

This paper cites Noise reduction in speech processing , pages=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology Noise reduction in speech processing , pages=

Reference 61

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source=arxiv_source observed=2026-08-01T09:09:47.080516Z digest=sha256:9eb4ff60ce2d88d3ba6f22dd1551f3c42fefcc5e6ccc467aa906e45fab746709

Observation 9fba9612-452a-41ec-bf50-92101912e31a · outbound

This paper cites R package Kendall , volume=.

HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology R package Kendall , volume=

Reference 62

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source=arxiv_source observed=2026-08-01T09:09:47.084358Z digest=sha256:7a0af77541394d240e53004bcad28e67b2eeba2cd2bded98652e2538ef5919d1

Pith citing papers

No inbound Pith citation observations are available.