CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data | Paper Citation Record

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This paper cites Olsen, Benedict Paten, and Mark Akeson.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Olsen, Benedict Paten, and Mark Akeson

Reference 1

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This paper cites Model-based dimensionality reduction for single-cell RNA-seq using generalized bilinear models.Biostatistics, 26(1):kxaf024, January 2025.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Model-based dimensionality reduction for single-cell RNA-seq using generalized bilinear models.Biostatistics, 26(1):kxaf024, January 2025

Reference 2

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This paper cites Luecken and Fabian J.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Luecken and Fabian J

Reference 3

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This paper cites Spatial transcriptomics reveals substan- tial heterogeneity in triple-negative breast cancer with potential clinical implications.Nature Communications, 15(1):10232, November 2024.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Spatial transcriptomics reveals substan- tial heterogeneity in triple-negative breast cancer with potential clinical implications.Nature Communications, 15(1):10232, November 2024

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CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

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This paper cites Lecun, L.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Lecun, L

Reference 7

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This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data A Simple Framework for Contrastive Learning of Visual Representations

Reference 8

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This paper cites Attention Is All You Need.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Attention Is All You Need

Reference 9

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This paper cites Dimension Reduction with Locally Adjusted Graphs, December 2024.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Dimension Reduction with Locally Adjusted Graphs, December 2024

Reference 10

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CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

Reference 11

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Observation cf5d050a-0a7a-4c12-9053-b65fe372f055 · outbound

This paper cites The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction

Reference 12

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CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

Reference 13

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Observation 17586d16-ebae-4865-9103-d5d831809e17 · outbound

This paper cites A mathematical theory of adaptive control processes.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data A mathematical theory of adaptive control processes

Reference 14

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This paper cites Jaskowiak, Ricardo J.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Jaskowiak, Ricardo J

Reference 15

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This paper cites Manifold Learning-based Methods for Analyzing Single-Cell RNA-Sequencing Data.Current Opinion in Systems Biology, 7, December 2017.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Manifold Learning-based Methods for Analyzing Single-Cell RNA-Sequencing Data.Current Opinion in Systems Biology, 7, December 2017

Reference 16

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Observation 292fd02d-e26e-4189-9695-db8227396e20 · outbound

This paper cites Hadsell, S.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Hadsell, S

Reference 17

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Observation 4e33a90f-35bc-4f55-ad6e-fd75346f98bf · outbound

This paper cites Distributed Representations of Words and Phrases and their Compositionality.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Distributed Representations of Words and Phrases and their Compositionality

Reference 18

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This paper cites Surpassing Cosine Similarity for Multidimensional Comparisons: Dimension Insensitive Euclidean Metric.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Surpassing Cosine Similarity for Multidimensional Comparisons: Dimension Insensitive Euclidean Metric

Reference 19

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CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

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CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

Reference 21

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This paper cites Jolliffe and Jorge Cadima.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Jolliffe and Jorge Cadima

Reference 22

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This paper cites Torgerson.Theory and methods of scaling.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Torgerson.Theory and methods of scaling

Reference 23

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Observation 3eaf6073-69a3-4008-8212-f75328b889ca · outbound

This paper cites William Townes, Stephanie C.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data William Townes, Stephanie C

Reference 25

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This paper cites A survey of dimensionality reduction techniques.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data A survey of dimensionality reduction techniques

Reference 26

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CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

Reference 27

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This paper cites Roweis and Lawrence K.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Roweis and Lawrence K

Reference 28

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Observation dab498f3-68ae-4240-93b7-506fef495cdb · outbound

This paper cites Laplacian Eigenmaps for dimensionality reduction and data representation.Neural Comput., 15(6):1373–1396, June 2003.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Laplacian Eigenmaps for dimensionality reduction and data representation.Neural Comput., 15(6):1373–1396, June 2003

Reference 29

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This paper cites Coifman and Stéphane Lafon.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Coifman and Stéphane Lafon

Reference 30

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This paper cites Stochastic Neighbor Embedding.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Stochastic Neighbor Embedding

Reference 31

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This paper cites Visualizing Data using t-SNE.Journal of Machine Learning Research, 9(86):2579–2605, 2008.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Visualizing Data using t-SNE.Journal of Machine Learning Research, 9(86):2579–2605, 2008

Reference 32

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This paper cites Visualizing Large-scale and High-dimensional Data.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Visualizing Large-scale and High-dimensional Data

Reference 33

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This paper cites TriMap: Large-scale Dimensionality Reduction Using Triplets.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 34

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

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 35

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CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data From $t$-SNE to UMAP with contrastive learning

Reference 36

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This paper cites Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization

Reference 37

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CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Auto-Encoding Variational Bayes

Reference 38

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This paper cites Cole, Michael I.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Cole, Michael I

Reference 39

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This paper cites Theis, Aaron Streets, Michael I.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Theis, Aaron Streets, Michael I

Reference 40

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This paper cites Similarity-assisted variational autoencoder for nonlinear dimension reduction with application to single-cell RNA sequencing data.BMC Bioinformatics, 24(1):432, November 2023.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Similarity-assisted variational autoencoder for nonlinear dimension reduction with application to single-cell RNA sequencing data.BMC Bioinformatics, 24(1):432, November 2023

Reference 41

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This paper cites Graving and Iain D.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Graving and Iain D

Reference 42

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Observation f960f3d7-88fc-4861-9460-f365c9e63355 · outbound

This paper cites A deep generative model for multi-view profiling of single-cell RNA-seq and ATAC-seq data.Genome Biology, 23(1):20, January 2022.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data A deep generative model for multi-view profiling of single-cell RNA-seq and ATAC-seq data.Genome Biology, 23(1):20, January 2022

Reference 43

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This paper cites Dean, Jerome Anthony E.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Dean, Jerome Anthony E

Reference 44

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This paper cites Contrastive Learning with Similarity Enhancement for Dimensionality Reduction.Engineering Applications of Artificial Intelligence, 161:112266, December 2025.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Contrastive Learning with Similarity Enhancement for Dimensionality Reduction.Engineering Applications of Artificial Intelligence, 161:112266, December 2025

Reference 45

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This paper cites NCVis: Noise Contrastive Approach for Scalable Visualization.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data NCVis: Noise Contrastive Approach for Scalable Visualization

Reference 46

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This paper cites Node Embeddings via Neighbor Embeddings.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Node Embeddings via Neighbor Embeddings

Reference 47

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Observation 050ede7c-8a66-4a2b-9b71-911944b44824 · outbound

This paper cites Scikit-learn: Machine Learning in Python.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Scikit-learn: Machine Learning in Python

Reference 48

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This paper cites Aggarwal, Alexander Hinneburg, and Daniel A.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Aggarwal, Alexander Hinneburg, and Daniel A

Reference 49

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Observation 191abfb6-e127-433c-8a89-15c74f7c5b54 · outbound

This paper cites Unsupervised visualization of image datasets using contrastive learning.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unsupervised visualization of image datasets using contrastive learning

Reference 50

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Observation acd21f89-4f6b-402c-9be2-81a6f971a322 · outbound

This paper cites Laplacian eigenmaps and spectral techniques for embedding and clustering.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Laplacian eigenmaps and spectral techniques for embedding and clustering

Reference 51

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Observation 0a0962b0-f3c8-4bfc-b6b2-892859a8e18a · outbound

This paper cites Moon, David van Dijk, Zheng Wang, Scott Gigante, Daniel B.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Moon, David van Dijk, Zheng Wang, Scott Gigante, Daniel B

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:22.065819Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c2cf17a8-2a1d-4d1f-90ab-20863e049d21 · outbound

This paper cites Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction

Reference 53

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T14:25:21.285096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 66c8c3c6-1651-4432-9cc6-364f5bdcb7de · outbound

This paper cites an unresolved cited work.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:22.052149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 351881ec-8e17-4930-af19-309c5ee3b149 · outbound

This paper cites Alexander Wolf, Philipp Angerer, and Fabian J.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Alexander Wolf, Philipp Angerer, and Fabian J

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:22.038349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8392db6d-bccb-4450-ad89-3539670de5ee · outbound

This paper cites Mauck, Yuhan Hao, Marlon Stoeckius, Peter Smibert, and Rahul Satija.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Mauck, Yuhan Hao, Marlon Stoeckius, Peter Smibert, and Rahul Satija

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:22.023900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d193b3aa-d8ff-419b-b91a-7b0891a0cc8d · outbound

This paper cites an unresolved cited work.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:22.009389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 48d2268e-a499-4eb5-bef3-8bf75a9382e9 · outbound

This paper cites Garcia, Emma R.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Garcia, Emma R

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:21.994120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 24da952a-cc01-40e4-b674-dbecfa98e2a6 · outbound

This paper cites Classification of Mouse Retinal Bipolar Cells: Type- Specific Connectivity with Special Reference to Rod-Driven AII Amacrine Pathways.Frontiers in Neuroanatomy, 11:92, 2017.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Classification of Mouse Retinal Bipolar Cells: Type- Specific Connectivity with Special Reference to Rod-Driven AII Amacrine Pathways.Frontiers in Neuroanatomy, 11:92, 2017

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:21.978905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a11b86bd-383d-4772-b565-9545bf2e0ad5 · outbound

This paper cites Simon, Maria Mircea, Nikola S.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Simon, Maria Mircea, Nikola S

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:21.963960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 964c2c19-bee8-4f9f-98eb-4fb59cd17bab · outbound

This paper cites Cluster Ensembles - A Knowledge Reuse Framework for Combining Multiple Partitions.Journal of Machine Learning Research, 3:583–617, January 2002.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Cluster Ensembles - A Knowledge Reuse Framework for Combining Multiple Partitions.Journal of Machine Learning Research, 3:583–617, January 2002

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:21.949360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 812f2348-b64e-46cd-a311-4f9f897c8d49 · outbound

This paper cites Dimensionality Reduction for Clustering of Nonlinear Industrial Data: A Tutorial.Korean Journal of Chemical Engineering, 42(5):987–1001, May 2025.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Dimensionality Reduction for Clustering of Nonlinear Industrial Data: A Tutorial.Korean Journal of Chemical Engineering, 42(5):987–1001, May 2025

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:21.933514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4e9f78a8-28db-4f9f-ad39-d5f1d4ebfeb1 · outbound

This paper cites an unresolved cited work.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:21.918261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cef65cfc-2a98-46e1-983c-208b892989db · outbound

This paper cites an unresolved cited work.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T14:25:20.966392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13ba697b-4b15-4e32-be77-eca7a7db4986 · outbound

This paper cites Efficient computation of the kinship coefficients.Bioinformatics, 35(6):1002–1008, March 2019.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Efficient computation of the kinship coefficients.Bioinformatics, 35(6):1002–1008, March 2019

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:21.904120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d1a2a668-0e18-4998-b006-6fda61c30d12 · outbound

This paper cites an unresolved cited work.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:21.888865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 82026380-e554-4e6e-bbdc-c553cb4b6e19 · outbound

This paper cites GENLIB: an R package for the analysis of genealogical data.BMC Bioinformatics, 16:160, May 2015.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data GENLIB: an R package for the analysis of genealogical data.BMC Bioinformatics, 16:160, May 2015

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:21.874083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1bed6a3a-f108-475f-8d90-6bbe0560999d · outbound

This paper cites On the genes, genealogies, and geographies of Quebec.Science, 380(6647):849–855, May 2023.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data On the genes, genealogies, and geographies of Quebec.Science, 380(6647):849–855, May 2023

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:21.859310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ff1c7023-38b7-4a04-be42-eabc9467f874 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T14:25:20.988685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8078af33-3f91-45d4-9b2e-66f80371fae3 · outbound

This paper cites Array Programming with NumPy.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Array Programming with NumPy

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T14:25:20.993155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b3d8bed-ed43-4aa7-bee9-93b91847d4c1 · outbound

This paper cites The Faiss library, October.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data The Faiss library, October

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:21.844135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ac9f22ee-4b9b-4e22-903a-cf849ebe7f36 · outbound

This paper cites an unresolved cited work.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:21.828920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 957dbaab-ee3a-499d-8103-9e5b80598e34 · outbound

This paper cites Numba: a LLVM-based Python JIT compiler.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Numba: a LLVM-based Python JIT compiler

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:21.814958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ab990c94-fe71-4242-88c1-4f8ca2ea20be · outbound

This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:21.799880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 76479d30-3579-46ac-99de-de3aa0fbfe21 · outbound

This paper cites an unresolved cited work.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:21.785582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 75e53464-5757-4f64-9125-49e5caf2e6d1 · outbound

This paper cites pandas: a Foundational Python Library for Data Analysis and Statistics.Python High Performance Science Computer, January 2011.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data pandas: a Foundational Python Library for Data Analysis and Statistics.Python High Performance Science Computer, January 2011

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:21.771238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 57bc591b-cf70-4209-87cf-e3c2befeb86e · outbound

This paper cites an unresolved cited work.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:21.756468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e593c091-06d9-4c7e-bdc7-d1cbfbbfd6bb · outbound

This paper cites Moon, David van Dijk, Zheng Wang, Scott Gigante, Daniel B.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Moon, David van Dijk, Zheng Wang, Scott Gigante, Daniel B

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:21.741936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d7450f42-8d44-4caa-a3eb-952523f73822 · outbound

This paper cites On UMAP's true loss function.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data On UMAP's true loss function

Reference 79

Resolution: verified exact; local_arxiv, observed 2026-08-15T14:25:21.136115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e99b9bb8-8425-45b8-9252-a788cbaf686e · outbound

This paper cites an unresolved cited work.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:21.726732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5d23c10e-2536-43ea-8525-173002805345 · outbound

This paper cites Worth, Eric L.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Worth, Eric L

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:21.712220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9c87d062-56f1-4d11-9a33-010c2d42bb96 · outbound

This paper cites an unresolved cited work.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:21.696352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f49d58b-a0fe-4f75-8e46-4efa2ba4b5d1 · outbound

This paper cites an unresolved cited work.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:21.679647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c8913ed9-d08b-42c4-b136-47c0967214c5 · outbound

This paper cites an unresolved cited work.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:21.663698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9dc4ad85-a1a6-4e79-84c2-144cfa8e6dfc · outbound

This paper cites Return:Y.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Return:Y

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:21.648743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e622f760-3b3a-4006-b3e9-5c0bc8011772 · outbound

This paper cites an unresolved cited work.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:21.633745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fca4237d-c260-4498-8440-9817bfa6eb81 · outbound

This paper cites an unresolved cited work.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:21.618749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4e128d30-a134-4ac4-a28a-8d857b0a0ffc · outbound

This paper cites Return:Y final.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Return:Y final

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:21.603557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9924c219-282e-4677-9cf8-86a2d147a28e · outbound

This paper cites The Faiss library.

CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data The Faiss library

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T14:25:21.002151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers