Paper Citation Record · LEDGER

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods

As of 10 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2509.02482.

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

pith.paper-citation-record.v1
2509.02482 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:40:13.305258Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation 4480224c-c01f-4d3a-bad8-6b2621d872fd · outbound

This paper cites Efficient spatial segmentation of large imaging mass spectrometry datasets with spatially aware clustering.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Efficient spatial segmentation of large imaging mass spectrometry datasets with spatially aware clustering

Reference 1

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Observation bb900ba3-c1fc-4c7f-bcee-7f20f62a2ce7 · outbound

This paper cites Integrative clustering in mass spectrometry imaging for enhanced patient stratification.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Integrative clustering in mass spectrometry imaging for enhanced patient stratification

Reference 2

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Observation 8a07d62b-777b-4580-947f-a845dbba62b2 · outbound

This paper cites Clustering Areal Units at Multiple Levels of Resolution to Model Crime in Philadelphia.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Clustering Areal Units at Multiple Levels of Resolution to Model Crime in Philadelphia

Reference 3

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Observation 616cc50b-c8ba-4c30-bf1c-dd4946d7b7b6 · outbound

This paper cites Quintana.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Quintana

Reference 4

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Observation e3b25376-4bfd-4cc9-b1d9-995bc4f639c2 · outbound

This paper cites Spatial interaction and the statistical analysis of lattice systems.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Spatial interaction and the statistical analysis of lattice systems

Reference 5

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Observation 0a3fefab-d26e-4036-b508-b82ec71c9886 · outbound

This paper cites On the Statistical Analysis of Dirty Pictures.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods On the Statistical Analysis of Dirty Pictures

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:40:14.002772Z

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Observation fccbab4f-81ba-4b16-95aa-a8537f0553d5 · outbound

This paper cites Lipid metabolism and cancer.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Lipid metabolism and cancer

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:40:13.993214Z

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Observation c117b0b8-c9bb-4c2a-8a2d-b9c66004f07e · outbound

This paper cites Blei, Alp Kucukelbir, and Jon D.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Blei, Alp Kucukelbir, and Jon D

Reference 8

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Observation 8dbbd290-ee78-4c78-801a-02e1a7ba5918 · outbound

This paper cites Latent nested nonparametric priors.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Latent nested nonparametric priors

Reference 9

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Observation 2b696f18-078f-4e73-b598-ef2fa2fbd7e8 · outbound

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Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Unresolved cited work

Reference 10

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Observation 458b0904-1fff-4245-a37a-af2829d31813 · outbound

This paper cites A finite-infinite shared atoms nested model for the bayesian analysis of large grouped data.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods A finite-infinite shared atoms nested model for the bayesian analysis of large grouped data

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:40:13.971877Z

Source-reported events for the cited work

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Observation e48c3486-ef0c-4ab2-9656-78de923c2c1f · outbound

This paper cites A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:40:13.961812Z

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Observation e24f2393-bfdd-43c3-9711-38780a399fbc · outbound

This paper cites Spatial multiomics of lipids, n-glycans, and tryptic peptides on a single ffpe tissue section.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Spatial multiomics of lipids, n-glycans, and tryptic peptides on a single ffpe tissue section

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:40:13.950455Z

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Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Unresolved cited work

Reference 14

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Observation aa68d749-6152-4662-bea4-b7035887b57e · outbound

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Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Unresolved cited work

Reference 15

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Observation 2d5992e8-ef28-42f0-8a20-b1c1f5bc319a · outbound

This paper cites Nelson, Jiahui Li, Chao Wu, Jimeng Yang, Yan Zheng, Christiane Bruns, Yue Zhao, Lunxiu Qin, and Qiongzhu Dong.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Nelson, Jiahui Li, Chao Wu, Jimeng Yang, Yan Zheng, Christiane Bruns, Yue Zhao, Lunxiu Qin, and Qiongzhu Dong

Reference 16

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Observation 91ba005e-d188-46ef-b918-36127e6ee9ec · outbound

This paper cites Proteomics and its current application in biomedical area: Concise review.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Proteomics and its current application in biomedical area: Concise review

Reference 17

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Observation 15f4c79b-0283-4cc5-8452-d86499c3683c · outbound

This paper cites Co-clustering: models, algorithms and applications.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Co-clustering: models, algorithms and applications

Reference 18

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Observation d8fdace1-2ccb-40e5-92b3-1f5b672e8302 · outbound

This paper cites Unsupervised segmentation of mass spectrometric ion images characterizes morphology of tissues.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Unsupervised segmentation of mass spectrometric ion images characterizes morphology of tissues

Reference 19

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Observation 1d33c893-46f3-47fc-9f15-026d10178700 · outbound

This paper cites Renal cell carcinoma.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Renal cell carcinoma

Reference 20

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Observation 8ddda149-8fe4-423d-b3d8-9cf00fdb2e27 · outbound

This paper cites Genomic classifications of renal cell carcinoma: A critical step towards the future application of personalized kidney cancer care with pan-omics precision.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Genomic classifications of renal cell carcinoma: A critical step towards the future application of personalized kidney cancer care with pan-omics precision

Reference 21

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Observation f647361d-c80f-4bf1-889e-4c8fb0ae18bb · outbound

This paper cites State-of-the-art mass spectrometry imaging applications in biomedical research.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods State-of-the-art mass spectrometry imaging applications in biomedical research

Reference 22

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Observation 79ad188f-a856-4c7a-9639-1b91beb71b60 · outbound

This paper cites A nonparametric Bayesian model for local clustering with application to proteomics.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods A nonparametric Bayesian model for local clustering with application to proteomics

Reference 23

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Observation 7dd09985-a2d6-4461-a27e-ac11c75f251a · outbound

This paper cites Flexible clustering via hidden hierarchical Dirichlet priors.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Flexible clustering via hidden hierarchical Dirichlet priors

Reference 24

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Observation 625c73f3-21b8-4682-be5f-5c1b36ddfeb2 · outbound

This paper cites Linderman, Matthew J.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Linderman, Matthew J

Reference 25

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Observation 3cfaf3f1-e6a9-4103-ac5b-78ebb3d3d7b3 · outbound

This paper cites Bayesian nonparametric priors for hidden Markov random fields.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Bayesian nonparametric priors for hidden Markov random fields

Reference 26

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Observation e069b706-4c05-4eb5-85c9-f37e861c7be8 · outbound

This paper cites cluster: Cluster Analysis Basics and Extensions, 2025.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods cluster: Cluster Analysis Basics and Extensions, 2025

Reference 27

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This paper cites u hwirth-Schnatter, and Bettina Gr \.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods u hwirth-Schnatter, and Bettina Gr \

Reference 28

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Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Unresolved cited work

Reference 29

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Observation 8534cb07-5e23-470d-b67f-fe5f5194b280 · outbound

This paper cites Prospective on imaging mass spectrometry in clinical diagnostics.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Prospective on imaging mass spectrometry in clinical diagnostics

Reference 30

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Observation f46fa2c9-06aa-4619-90a4-9c0dbdb9d172 · outbound

This paper cites Nicholls, Anthony N.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Nicholls, Anthony N

Reference 31

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Observation e429eea6-6ace-4b35-b1c8-8a2f1cc86408 · outbound

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Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Unresolved cited work

Reference 32

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Observation 14b732c5-1ed1-4dd1-b7b3-28a4a4a114ab · outbound

This paper cites Evaluation and comparison of unsupervised methods for the extraction of spatial patterns from mass spectrometry imaging data (msi).

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Evaluation and comparison of unsupervised methods for the extraction of spatial patterns from mass spectrometry imaging data (msi)

Reference 33

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This paper cites Separate Exchangeability as Modeling Principle in Bayesian Nonparametrics.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Separate Exchangeability as Modeling Principle in Bayesian Nonparametrics

Reference 34

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This paper cites Dunson, and Alan E.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Dunson, and Alan E

Reference 35

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This paper cites Rohner, D.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Rohner, D

Reference 36

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Observation 375e1d3f-960c-4c86-bbbe-d4c906cda110 · outbound

This paper cites Ortori, David A.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Ortori, David A

Reference 37

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This paper cites Moremen, Nathan E.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Moremen, Nathan E

Reference 38

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Observation 8fb53064-ebc7-4015-9a21-260cf4170082 · outbound

This paper cites Sparse biclustering of transposable data.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Sparse biclustering of transposable data

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:40:13.716942Z

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Observation ee2f84ac-7143-4548-ba4e-459e486c4ebc · outbound

This paper cites Estimating the number of clusters in a data set via the gap statistic.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Estimating the number of clusters in a data set via the gap statistic

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:40:13.704337Z

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Observation 5d0be170-2f2a-4610-a498-82903fc3ae16 · outbound

This paper cites Maldi-msi towards multimodal imaging: Challenges and perspectives.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Maldi-msi towards multimodal imaging: Challenges and perspectives

Reference 41

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Observation 5cbda0de-2ac7-418d-8ef6-34a90d18259d · outbound

This paper cites Lipids in cancer: a global view of the contribution of lipid pathways to metastatic formation and treatment resistance.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Lipids in cancer: a global view of the contribution of lipid pathways to metastatic formation and treatment resistance

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:40:13.693289Z

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Observation ce8cef6a-e1a2-4eac-9146-031161d17fea · outbound

This paper cites Caprioli, and Raf Van de Plas.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Caprioli, and Raf Van de Plas

Reference 43

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Observation 2a21071b-f3d3-45ae-80bb-62e7cd2408f9 · outbound

This paper cites An n-glycome tissue atlas of 15 human normal and cancer tissue types determined by maldi-imaging mass spectrometry.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods An n-glycome tissue atlas of 15 human normal and cancer tissue types determined by maldi-imaging mass spectrometry

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:40:13.681141Z

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Observation 7e8bb96f-96ce-4a97-b52a-f2d0cf7a8df9 · outbound

This paper cites Mass spectrometry imaging for spatially resolved multi-omics molecular mapping.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Mass spectrometry imaging for spatially resolved multi-omics molecular mapping

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:40:13.668549Z

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Observation b129bbea-3303-4baf-bb00-4df811f91a2d · outbound

This paper cites Comparison of dimensionality reduction methods in mass spectra of astrocytoma and glioblastoma tissues.

Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods Comparison of dimensionality reduction methods in mass spectra of astrocytoma and glioblastoma tissues

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:40:13.658243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.