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Paper Citation Record · LEDGER

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics

As of 20 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2506.11491.

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

pith.paper-citation-record.v1
2506.11491 v2

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:08:42.035687Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

68 of 68 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a73a80fa-4729-4e07-a1b1-1d3f4d6346bd · outbound

This paper cites An introduction to spatial transcriptomics for biomedical research.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics An introduction to spatial transcriptomics for biomedical research

Reference 1

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Observation c9dd65db-9efa-4ce1-bbf2-02d7bdebbe00 · outbound

This paper cites Holt and Simon L.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Holt and Simon L

Reference 2

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Observation 467db7cd-c848-4f4a-a4dc-4ee5bafad795 · outbound

This paper cites Single-cell in situ rna profiling by sequential hybridization.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Single-cell in situ rna profiling by sequential hybridization

Reference 3

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Observation 7a57b7cf-7adc-4957-998e-684ec5edaa7f · outbound

This paper cites Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex

Reference 4

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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.

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Observation 8c32a79e-0b65-4125-92b3-e1def4b892db · outbound

This paper cites Rnaimaging.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Rnaimaging

Reference 5

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Source-reported events for the cited work

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Observation 9c429e79-61e4-4bc9-b93d-ac16d0e0b050 · outbound

This paper cites Three-dimensional intact-tissue se- quencing of single-cell transcriptional states.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Three-dimensional intact-tissue se- quencing of single-cell transcriptional states

Reference 6

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Source-reported events for the cited work

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Observation 0e0538ca-1000-41f5-84cb-2be115dcbea9 · outbound

This paper cites Transcriptome-scale super-resolved imaging in tissues by rna seqfish+.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Transcriptome-scale super-resolved imaging in tissues by rna seqfish+

Reference 7

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Source-reported events for the cited work

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Observation 304f491f-efc9-4ccb-8001-7093459a8e17 · outbound

This paper cites Visualization and analysis of gene expression in tissue sections by spatial transcriptomics.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Visualization and analysis of gene expression in tissue sections by spatial transcriptomics

Reference 8

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Source-reported events for the cited work

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Observation 58eff9b9-f0cd-4aef-8452-ffa19467f3f4 · outbound

This paper cites Highly sensitive spatial transcriptomics at near-cellular resolution with slide-seqv2.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Highly sensitive spatial transcriptomics at near-cellular resolution with slide-seqv2

Reference 9

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Source-reported events for the cited work

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Observation beb5c736-7c39-40d2-8ce6-0cf9b3a50c6a · outbound

This paper cites High- definition spatial transcriptomics for in situ tissue profiling.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics High- definition spatial transcriptomics for in situ tissue profiling

Reference 10

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Source-reported events for the cited work

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Observation 0fc307f3-daa3-4466-81ed-cadd94ba5376 · outbound

This paper cites Laser-capture microdissection.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Laser-capture microdissection

Reference 11

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Observation 24141a28-1963-4d77-87dc-315b389ed0c9 · outbound

This paper cites Spatial recon- struction of single-cell gene expression data.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Spatial recon- struction of single-cell gene expression data

Reference 12

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Source-reported events for the cited work

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Observation 22496180-fe7d-4782-a9f4-f32856d5e8d1 · outbound

This paper cites Giotto: a toolbox for integrative analysis and visualization of spatial expression data.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Giotto: a toolbox for integrative analysis and visualization of spatial expression data

Reference 13

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Source-reported events for the cited work

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Observation 03f6497e-ca66-47db-8dbd-06291efc60f0 · outbound

This paper cites Spagcn: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Spagcn: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

Reference 14

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Source-reported events for the cited work

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Observation 99f39ac1-1aa6-4373-8a7e-66d8e8ef28fc · outbound

This paper cites Deepst: identifying spatial domains in spatial transcriptomics by deep learning.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Deepst: identifying spatial domains in spatial transcriptomics by deep learning

Reference 15

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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.

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Observation 5f29b65c-5d50-4518-83a6-6a7234e1b565 · outbound

This paper cites Deciphering spatial domains from spatially resolved transcriptomics with an adaptive graph attention auto-encoder.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Deciphering spatial domains from spatially resolved transcriptomics with an adaptive graph attention auto-encoder

Reference 16

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Source-reported events for the cited work

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Observation adbd0367-3384-469e-bb0a-4c329a06baad · outbound

This paper cites Unsupervised spatially embedded deep representation of spatial transcriptomics.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Unsupervised spatially embedded deep representation of spatial transcriptomics

Reference 17

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Source-reported events for the cited work

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Observation 7ccd5671-eb51-49ee-aabb-c62cbf1331af · outbound

This paper cites Robust mapping of spatiotemporal trajectories and cell–cell interactions in healthy and diseased tissues.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Robust mapping of spatiotemporal trajectories and cell–cell interactions in healthy and diseased tissues

Reference 18

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Observation 89366aee-e37a-495c-8d16-421ae0588f3a · outbound

This paper cites Spatially informed clustering, integra- tion, and deconvolution of spatial transcriptomics with graphst.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Spatially informed clustering, integra- tion, and deconvolution of spatial transcriptomics with graphst

Reference 19

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Observation 5b060797-8885-4d2f-a170-a60e36d134ed · outbound

This paper cites const: an interpretable multi-modal contrastive learning framework for spatial transcriptomics.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics const: an interpretable multi-modal contrastive learning framework for spatial transcriptomics

Reference 20

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Observation 94d4df45-35be-4ddb-a263-2d68dcf4ea73 · outbound

This paper cites Deep graph infomax.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Deep graph infomax

Reference 21

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Observation e984ad4f-a4bb-48f5-8872-1af637ff5da3 · outbound

This paper cites Sgcast: symmetric graph convolutional auto-encoder for scalable and accurate study of spatial transcriptomics.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Sgcast: symmetric graph convolutional auto-encoder for scalable and accurate study of spatial transcriptomics

Reference 22

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Observation f539884a-c61d-4632-8e4f-bbbe8362d12d · outbound

This paper cites nearest neighbor.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics nearest neighbor

Reference 23

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Observation cdfdc974-81bf-426d-8e2f-9711a23d20c7 · outbound

This paper cites Museum of spatial transcriptomics.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Museum of spatial transcriptomics

Reference 24

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Source-reported events for the cited work

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Observation 3b34e537-8429-4f6d-8dcb-a1f8d89c8ac8 · outbound

This paper cites Computational methods for alignment and integration of spatially resolved transcriptomics data.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Computational methods for alignment and integration of spatially resolved transcriptomics data

Reference 25

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Observation de3995aa-0b02-4ba5-ac5f-d8d744dbeae4 · outbound

This paper cites Computational principles and challenges in single-cell data integration.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Computational principles and challenges in single-cell data integration

Reference 26

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Source-reported events for the cited work

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Observation 3bfad964-8983-4fad-b9a7-344e8daef931 · outbound

This paper cites Fast, sensitive and accurate integration of single-cell data with harmony.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Fast, sensitive and accurate integration of single-cell data with harmony

Reference 27

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Source-reported events for the cited work

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Observation 2a8aaff8-7acd-41a7-aa9a-a73fe254479c · outbound

This paper cites Deep generative modeling for single-cell transcriptomics.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Deep generative modeling for single-cell transcriptomics

Reference 28

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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.

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Observation c860f385-e587-44b4-9ac7-b8b130b2d0c9 · outbound

This paper cites Deep mincut: Learning node embeddings by detecting communities.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Deep mincut: Learning node embeddings by detecting communities

Reference 29

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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.

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Observation fc78f9ec-5188-4da0-b057-292151e6b756 · outbound

This paper cites Review of brain functioning in depression for semantic processing and verbal fluency.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Review of brain functioning in depression for semantic processing and verbal fluency

Reference 30

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Source-reported events for the cited work

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Observation 94bcc254-6eda-4f9a-abe5-f8e5061733e7 · outbound

This paper cites Large-scale exome sequencing study implicates both developmental and functional changes in the neurobiology of autism.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Large-scale exome sequencing study implicates both developmental and functional changes in the neurobiology of autism

Reference 31

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Source-reported events for the cited work

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Observation b8b980e7-5c5b-48ca-a850-90ff42c86852 · outbound

This paper cites Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection

Reference 32

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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.

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Observation 071743ad-49fb-4877-bb66-8fd5e2580663 · outbound

This paper cites Genome-wide association study identifies 30 loci associated with bipolar disorder.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Genome-wide association study identifies 30 loci associated with bipolar disorder

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-07T04:08:51.804075Z

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.

source=pdf_text observed=2026-08-07T04:08:37.279356Z digest=sha256:43456e486c24db9377fd571a957c99fd0a4cf2b88abe64448707c0e3cfb21557

Observation b7123c9e-ae22-4f50-816f-0aa5bd6dd676 · outbound

This paper cites Fast unfold- ing of communities in large networks.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Fast unfold- ing of communities in large networks

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:51.602659Z

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.

source=pdf_text observed=2026-08-07T04:08:37.367978Z digest=sha256:2b25ee6414e89cede487339ccde9c09c09ff5f6ad38f82553c10172e1905f7a7

Observation 372bafbd-f33c-453f-83f3-1281c0131479 · outbound

This paper cites Neurogranin enhances synaptic strength through its interaction with calmodulin.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Neurogranin enhances synaptic strength through its interaction with calmodulin

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:51.397939Z

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.

source=pdf_text observed=2026-08-07T04:08:37.502540Z digest=sha256:85a5284adedc15a5891a7874c23359e3892193ad904e9e9f60a68ba912988d41

Observation 6a821cd1-3cec-47de-8af5-4162dea82133 · outbound

This paper cites Association between nrgn gene polymorphism and resting-state hippocampal functional connectivity in schizophrenia.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Association between nrgn gene polymorphism and resting-state hippocampal functional connectivity in schizophrenia

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:51.213736Z

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.

source=pdf_text observed=2026-08-07T04:08:37.641716Z digest=sha256:dae1f4293e040ece70b76a1812becd53e0ad6bed38b8efc05dee92f23e6efacc

Observation 1b4244c0-2f50-4eb7-8616-771711b66090 · outbound

This paper cites Expression of c1ql3 in discrete neuronal populations controls efferent synapse numbers and diverse behaviors.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Expression of c1ql3 in discrete neuronal populations controls efferent synapse numbers and diverse behaviors

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:51.001418Z

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.

source=pdf_text observed=2026-08-07T04:08:37.752163Z digest=sha256:50f858e308cef98463de6bc44a79467fbcf1fd55fdabac59db89a5c4d410146b

Observation d343c020-2dad-4dd3-a070-f96486133e3f · outbound

This paper cites Neurod6 expression defines new retinal amacrine cell subtypes and regulates their fate.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Neurod6 expression defines new retinal amacrine cell subtypes and regulates their fate

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:50.790979Z

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.

source=pdf_text observed=2026-08-07T04:08:37.869594Z digest=sha256:bbf376450e7abd22d6dcc34bd3948a76513e487c3b1ea381d7ca6e82f7df0cee

Observation 855c492d-a325-4562-84cf-32dbb9e42bb3 · outbound

This paper cites An rna-sequencing transcriptome and splicing database of glia, neurons, and vascular cells of the cerebral cortex.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics An rna-sequencing transcriptome and splicing database of glia, neurons, and vascular cells of the cerebral cortex

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:50.571877Z

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.

source=pdf_text observed=2026-08-07T04:08:37.996100Z digest=sha256:d1b393db1fdfc329568c368a350938cd11354917856c926d359bbdc8afa6940f

Observation 550e93b0-f2c0-4369-a3f4-762889a3a131 · outbound

This paper cites Purification and characteriza- tion of progenitor and mature human astrocytes reveals transcriptional and functional differences with mouse.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Purification and characteriza- tion of progenitor and mature human astrocytes reveals transcriptional and functional differences with mouse

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:50.319135Z

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.

source=pdf_text observed=2026-08-07T04:08:38.137355Z digest=sha256:1fb0813b9e5df5c1df8ca028a9272d3e2581e731ef527f8c5b6ba9861fe959ad

Observation f4414ead-07cf-4f14-b280-3803ab30c1dd · outbound

This paper cites Spatiotemporal transcriptomic atlas of mouse organogenesis using dna nanoball-patterned arrays.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Spatiotemporal transcriptomic atlas of mouse organogenesis using dna nanoball-patterned arrays

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:50.076528Z

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.

source=pdf_text observed=2026-08-07T04:08:38.348260Z digest=sha256:f84d97f59d8312a1f68134ab5dab23c23b833e7a47399fd002c536436a395c47

Observation 394918f8-29de-458e-a759-5d04b762ad0e · outbound

This paper cites Gene expression profiling of atp-binding cassette (abc) transporters as a predictor of the pathologic response to neoadjuvant chemotherapy in breast cancer patients.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Gene expression profiling of atp-binding cassette (abc) transporters as a predictor of the pathologic response to neoadjuvant chemotherapy in breast cancer patients

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:49.905554Z

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.

source=pdf_text observed=2026-08-07T04:08:38.534008Z digest=sha256:948fa2bc158b79155e553f8d121fd5184d2fe0300c044a48e77e197320f816af

Observation 8f32a1c1-d38c-4538-b81d-0c5bfad2f319 · outbound

This paper cites Spatial transcriptomics reveals distinct and conserved tumor core and edge architectures that predict survival and targeted therapy response.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Spatial transcriptomics reveals distinct and conserved tumor core and edge architectures that predict survival and targeted therapy response

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:49.643417Z

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.

source=pdf_text observed=2026-08-07T04:08:38.677308Z digest=sha256:6aef6a068dfcb007a9180c385656fd93ec7c81586926733c086ed71329851e63

Observation 2afb12bd-fb7a-4562-8ae1-dfb143a67ae5 · outbound

This paper cites The emerging role of xbp1 in cancer.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics The emerging role of xbp1 in cancer

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:49.397860Z

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.

source=pdf_text observed=2026-08-07T04:08:38.803797Z digest=sha256:c8c94e534f52132c6e0c536b08d8affd36cbc6c815b97e22adf6ea0a187156b5

Observation 27084cb0-71e2-40fb-9f5b-f3253731f932 · outbound

This paper cites Prognostic impact of agr3 protein expression in breast cancer: A systematic review and meta-analysis.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Prognostic impact of agr3 protein expression in breast cancer: A systematic review and meta-analysis

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:49.203776Z

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.

source=pdf_text observed=2026-08-07T04:08:38.963014Z digest=sha256:ea8fe5b728e651e03738941b72eb734c7c6585af6be24a4530317714173a2f7d

Observation da1d7ab0-a1ae-4b48-a249-3a248cc0efdd · outbound

This paper cites The biomarker he4 (wfdc2) promotes a pro-angiogenic and immunosuppressive tumor microenvironment via regulation of stat3 target genes.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics The biomarker he4 (wfdc2) promotes a pro-angiogenic and immunosuppressive tumor microenvironment via regulation of stat3 target genes

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:48.992165Z

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.

source=pdf_text observed=2026-08-07T04:08:39.070444Z digest=sha256:4b29aac18f40d679bc9e389770c8d257937a4b3d0e376ff90be20756439503d0

Observation e9b58726-f7b2-4018-9114-ed76c4eefe30 · outbound

This paper cites Molecular portraits of human breast tumours.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Molecular portraits of human breast tumours

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:48.754731Z

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.

source=pdf_text observed=2026-08-07T04:08:39.185910Z digest=sha256:3aa10d18ca50228e05a6f495abd5d9dc10aaaf50f8da8a8184108182c0306b14

Observation ca35c4a7-2030-4184-995f-8238f5911e08 · outbound

This paper cites Tissue-based map of the human proteome.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Tissue-based map of the human proteome

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:48.559039Z

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.

source=pdf_text observed=2026-08-07T04:08:39.323736Z digest=sha256:653c0251830fcb3ffb410a5fc4cce9087b62479b2cb79f1343f5ae7790fa1155

Observation cfc895ad-88ce-4d11-a732-e75a2b21086b · outbound

This paper cites Aebp1 con- tributes to breast cancer progression by facilitating cell proliferation, migration, invasion, and blocking apoptosis.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Aebp1 con- tributes to breast cancer progression by facilitating cell proliferation, migration, invasion, and blocking apoptosis

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:48.377034Z

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.

source=pdf_text observed=2026-08-07T04:08:39.540534Z digest=sha256:45da0ce47a3f5d648896cd9881fa04f37c8674b44225fa98dcafe66f76db8593

Observation 57674a53-cdac-4a08-99b5-b5d6125c8d3b · outbound

This paper cites High resolution mapping of the tumor microenvironment using integrated single-cell, spatial and in situ analysis.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics High resolution mapping of the tumor microenvironment using integrated single-cell, spatial and in situ analysis

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:48.226355Z

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.

source=pdf_text observed=2026-08-07T04:08:39.731250Z digest=sha256:c2abd30e2c29066c1b22b890833febeec7df7abccad79c8fbebc7b4381eb8509

Observation e1b325b2-3c0f-4335-b80e-1793c1bbb9be · outbound

This paper cites Accurate and efficient integrative reference-informed spatial domain detection for spatial transcriptomics.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Accurate and efficient integrative reference-informed spatial domain detection for spatial transcriptomics

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:48.008477Z

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.

source=pdf_text observed=2026-08-07T04:08:39.942864Z digest=sha256:957543cc418180da94bdc2d90e9adb878fd955ce43e8b740017d653019bf6223

Observation 868ff6dc-28cc-48b8-b0c7-94c58402f7de · outbound

This paper cites Banksy unifies cell typing and tissue domain segmen- tation for scalable spatial omics data analysis.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Banksy unifies cell typing and tissue domain segmen- tation for scalable spatial omics data analysis

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:47.794205Z

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.

source=pdf_text observed=2026-08-07T04:08:40.136412Z digest=sha256:f242fe3a9995ecfa27db26678d0787597607478d91731f2a608d16096749465b

Observation 2d4a5d24-6cb0-47ea-a94e-9719d853c336 · outbound

This paper cites Ductal carcinoma in situ: molecular changes accompanying disease progression.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Ductal carcinoma in situ: molecular changes accompanying disease progression

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:47.590325Z

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.

source=pdf_text observed=2026-08-07T04:08:40.269864Z digest=sha256:e342f943b5282974fc058076d2877181e79f22d4a702061c2c43e5e664d640e2

Observation fea1ee16-bfc2-47bf-bb6f-5318e825c317 · outbound

This paper cites Ceacam5 and ceacam6 are major target genes for smad3-mediated tgf-β signaling.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Ceacam5 and ceacam6 are major target genes for smad3-mediated tgf-β signaling

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:47.358747Z

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.

source=pdf_text observed=2026-08-07T04:08:40.484506Z digest=sha256:7b0cd64944fb6f17af96680c4b172516f250d90f337f8498f515960c2161bfeb

Observation 97f32a2a-7405-4cad-9d35-52edf005b766 · outbound

This paper cites Tumor-associated myoepithelial cells promote the invasive progression of ductal carci- noma in situ through activation of tgfβ signaling.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Tumor-associated myoepithelial cells promote the invasive progression of ductal carci- noma in situ through activation of tgfβ signaling

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:47.188146Z

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.

source=pdf_text observed=2026-08-07T04:08:40.619907Z digest=sha256:390cf08f189e56b65aa087d9dea33902e44f49091450d617174d736867de6cc5

Observation a2520348-daae-4021-9d22-bf9cc00f9e3e · outbound

This paper cites Mann-whitney u test.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Mann-whitney u test

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:46.917492Z

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.

source=pdf_text observed=2026-08-07T04:08:40.791258Z digest=sha256:fcae2535babe46d13bb2db77e790870f1c0d268a69d6719a548b23c462b0df52

Observation 0f7c7ddb-1d5a-45c4-8f5c-bade6e5d451c · outbound

This paper cites Foxc2 expres- sion links epithelial–mesenchymal transition and stem cell properties in breast cancer.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Foxc2 expres- sion links epithelial–mesenchymal transition and stem cell properties in breast cancer

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:46.708529Z

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.

source=pdf_text observed=2026-08-07T04:08:40.921658Z digest=sha256:de312f29571c58340eb3e97ad0ab00d16b4844f3943704440c97a0ca7513b74e

Observation 3dced330-b107-47a2-924d-0dcf10fc0134 · outbound

This paper cites Allen brain atlas, 2006.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Allen brain atlas, 2006

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:46.460206Z

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.

source=pdf_text observed=2026-08-07T04:08:41.015286Z digest=sha256:57e9781129ebfa0cf31e1636065cb6889506c5817a5b1cd48da9fb430afe50cf

Observation 7b84fce8-0716-4a08-a5dc-02e4e77258d1 · outbound

This paper cites Defining cell types and states with single-cell genomics.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Defining cell types and states with single-cell genomics

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:46.247530Z

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.

source=pdf_text observed=2026-08-07T04:08:41.131949Z digest=sha256:5326b9b50352ee5d5f907aab32942571844a05f23da63c17047f6120b2e1bed6

Observation 55be9aa4-90f7-4239-90d1-c2498a8d4da2 · outbound

This paper cites Cancer statistics, 2024.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Cancer statistics, 2024

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:46.003508Z

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.

source=pdf_text observed=2026-08-07T04:08:41.226811Z digest=sha256:7692c7045a21c9852804c4c7fcb5c7c9fda8a862ce1424f18d7487ab0c54c4f2

Observation 0a534b3c-0b69-446e-949a-648ea395ab76 · outbound

This paper cites Scanpy: large-scale single-cell gene expression data analysis.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Scanpy: large-scale single-cell gene expression data analysis

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T04:08:41.334097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:08:41.334097Z digest=sha256:bdd45be19892f843e21c66c91839c2adabe6907f457a52cb877ef4e0a8d01c22

Observation 03c7f04a-b648-4d12-9095-a3396811c400 · outbound

This paper cites GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T04:08:41.453562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:08:41.453562Z digest=sha256:a1d6ad78edfeb40a57d94c9ab3b91c51f3fabb1ac3686e4c2d778976e31bd862

Observation 07d11a19-66ff-4c90-9349-d88847b3201f · outbound

This paper cites Neural machine translation with gumbel-greedy decoding.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Neural machine translation with gumbel-greedy decoding

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:45.303491Z

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.

source=pdf_text observed=2026-08-07T04:08:41.598118Z digest=sha256:786ca7445014c5cce7c2cb627f4167544003717045851d3c857d37db1087fd4c

Observation 245c9e3e-c9ca-44f4-9249-0ebf265dd909 · outbound

This paper cites Adam: A method for stochastic optimization.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Adam: A method for stochastic optimization

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:44.741401Z

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.

source=pdf_text observed=2026-08-07T04:08:41.717250Z digest=sha256:0598f88ddf82adc34d2a24984d5d00e8fe8f2daf51b09ac5d833bd78365a145d

Observation cdce9191-e01c-4e4f-89f7-fe168c0350b5 · outbound

This paper cites mclust version 4 for r: normal mixture modeling for model-based clustering, classification, and density estimation.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics mclust version 4 for r: normal mixture modeling for model-based clustering, classification, and density estimation

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:44.504580Z

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.

source=pdf_text observed=2026-08-07T04:08:41.749134Z digest=sha256:dd09b2abcac7727f5e691d65fa4d560ca9e15dc1e285b709c4ad4ddfc62733ba

Observation e6f4e693-eaf7-449e-8e4b-9ec797c39b3e · outbound

This paper cites Paga: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Paga: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:44.266141Z

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.

source=pdf_text observed=2026-08-07T04:08:41.830391Z digest=sha256:2a1f1c199179719533c4ee8f159f9663161e2ed353be57180afdaea0e18be6d5

Observation 1d2a9298-c795-48c0-8a20-6e297809982c · outbound

This paper cites Alignment and integration of spatial transcriptomics data.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Alignment and integration of spatial transcriptomics data

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:44.001785Z

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.

source=pdf_text observed=2026-08-07T04:08:41.944469Z digest=sha256:dd8f4b131f25ea764922035b11566c4d828f81cc01265fbf419bf14c72f3890a

Observation 0cbcc8e8-9c51-4497-a383-296b47610df3 · outbound

This paper cites Inductive representation learning on large graphs.

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics Inductive representation learning on large graphs

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:08:43.346308Z

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.

source=pdf_text observed=2026-08-07T04:08:42.035687Z digest=sha256:f518414c7180897296ee6cf84242faa0e91a453c0e5adcde42c6782efb2b2c0f

Pith citing papers

No inbound Pith citation observations are available.