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Paper Citation Record · LEDGER

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering

As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2506.00410.

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

pith.paper-citation-record.v1
2506.00410 v1

Coverage vector

measured 35 of 35 reference resolution

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measured 35 of 35 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

35 of 35 outbound references displayed

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External citation measurements

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Outbound references

Observation 754a10b0-acfc-4e0c-b7d4-84f0ead85836 · outbound

This paper cites Applications of single-cell RNA sequencing in drug discovery and development,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Applications of single-cell RNA sequencing in drug discovery and development,

Reference 1

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Observation 1a820d97-9f9f-45c3-8bfc-c4b2d9631957 · outbound

This paper cites Cryo-electron tomog- raphy on focused ion beam lamellae transforms structural cell biology,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Cryo-electron tomog- raphy on focused ion beam lamellae transforms structural cell biology,

Reference 2

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Observation bb2d638e-99a9-491f-808b-08be1b7a2ee9 · outbound

This paper cites Best practices for single- cell analysis across modalities,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Best practices for single- cell analysis across modalities,

Reference 3

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Observation 087b8757-e953-4c6b-bfa7-befe93c0ec88 · outbound

This paper cites CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data,

Reference 4

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Observation 8500cb33-3f70-4797-a115-cd01771d6cfc · outbound

This paper cites Vi- sualization and analysis of single-cell RNA-seq data by kernel-based similarity learning,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Vi- sualization and analysis of single-cell RNA-seq data by kernel-based similarity learning,

Reference 5

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Observation 19bd196c-727a-44de-b4cc-608d1fa8f694 · outbound

This paper cites SAFE- clustering: Single-cell aggregated (from ensemble) clustering for single- cell RNA-seq data,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering SAFE- clustering: Single-cell aggregated (from ensemble) clustering for single- cell RNA-seq data,

Reference 6

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Observation c8ca6938-da8e-4469-abd7-90e69619904e · outbound

This paper cites Spatial reconstruction of single-cell gene expression data,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Spatial reconstruction of single-cell gene expression data,

Reference 7

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Observation 75025f98-961e-4a2a-9223-878014f95f99 · outbound

This paper cites Deep learning,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Deep learning,

Reference 8

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Observation a8bc27a2-eed0-4308-8f90-2d34b98eae3b · outbound

This paper cites Deep residual learning for image recognition,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Deep residual learning for image recognition,

Reference 9

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Observation 1d577edc-1e60-4dbc-b226-cc3087c57cf8 · outbound

This paper cites Unsupervised deep embedding for clustering analysis,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Unsupervised deep embedding for clustering analysis,

Reference 10

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Observation 0a46d2bc-8592-4a62-a3d0-d0bbdab9b859 · outbound

This paper cites DeepImpute: An accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering DeepImpute: An accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data,

Reference 11

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Observation 7818c7f3-95d5-4a65-b6e4-701f00e42911 · outbound

This paper cites Single-cell RNA-seq denoising using a deep count autoencoder,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Single-cell RNA-seq denoising using a deep count autoencoder,

Reference 12

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Observation 8a36d78d-289c-4a78-8925-e848d17b67b0 · outbound

This paper cites Clustering single-cell RNA- seq data with a model-based deep learning approach,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Clustering single-cell RNA- seq data with a model-based deep learning approach,

Reference 13

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Observation 90f32ff6-a0e9-40aa-bcf3-bc4d26b1390c · outbound

This paper cites Contrastive clustering,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Contrastive clustering,

Reference 14

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Observation a03f42dd-39fa-45f3-89aa-2477c0a171a4 · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering A simple framework for contrastive learning of visual representations,

Reference 15

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Observation a9879f2f-8a71-4175-b817-9084419d5ed4 · outbound

This paper cites Dense contrastive learning for self-supervised visual pretraining,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Dense contrastive learning for self-supervised visual pretraining,

Reference 16

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Observation 041801e5-c12c-43b5-9fb4-6aad8a2e68cf · outbound

This paper cites Contrastive self-supervised clustering of scRNA-seq data,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Contrastive self-supervised clustering of scRNA-seq data,

Reference 17

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Observation 378d2020-eb5e-4420-b905-9d30fa9eb84a · outbound

This paper cites scNAME: Neighborhood contrastive clustering with ancillary mask estimation for scRNA-seq data,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering scNAME: Neighborhood contrastive clustering with ancillary mask estimation for scRNA-seq data,

Reference 18

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Observation fa96a926-7fe3-4e8b-acc5-cb0621f312fc · outbound

This paper cites Self-supervised contrastive learning for integrative single cell RNA-seq data analysis,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Self-supervised contrastive learning for integrative single cell RNA-seq data analysis,

Reference 19

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Observation 06ac43da-369f-416c-9b20-3593155ce908 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Representation Learning with Contrastive Predictive Coding

Reference 20

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Observation b26dc947-4d0e-47c6-9507-c00c2fd8561f · outbound

This paper cites Validation of noise models for single-cell transcriptomics,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Validation of noise models for single-cell transcriptomics,

Reference 21

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Observation 0b78c1b9-6bf1-44ae-86de-e372a80a6d6b · outbound

This paper cites SCCCL: Single-cell data clustering based on self-supervised contrastive learning,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering SCCCL: Single-cell data clustering based on self-supervised contrastive learning,

Reference 22

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Observation c0eb2ddf-57b9-4faa-b7b5-bf1e03ebe47a · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Momentum contrast for unsupervised visual representation learning,

Reference 23

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Observation 62e5110a-3062-474a-a54f-3a9ec2262ef0 · outbound

This paper cites Group equivariant convolutional networks,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Group equivariant convolutional networks,

Reference 24

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Observation 223f905e-9359-47f0-b151-c9c0a6b267cd · outbound

This paper cites Choice of hierarchical priors: Admissibility in estimation of normal means,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Choice of hierarchical priors: Admissibility in estimation of normal means,

Reference 25

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Observation bcb57707-1e9f-479f-9117-5073d673c896 · outbound

This paper cites Estimation of the mean of a multivariate normal distribu- tion,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Estimation of the mean of a multivariate normal distribu- tion,

Reference 26

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Observation 92cedfe5-a706-4305-87fe-c0c3be49da2a · outbound

This paper cites C-SURE: Shrinkage estimator and prototype classifier for complex-valued deep learning,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering C-SURE: Shrinkage estimator and prototype classifier for complex-valued deep learning,

Reference 27

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Observation 62ea0323-726d-484a-8c89-41efa870b6de · outbound

This paper cites Can contrastive learning avoid shortcut solutions?.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Can contrastive learning avoid shortcut solutions?

Reference 28

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Observation e2ab38d6-c610-4078-92a0-fc7137fea307 · outbound

This paper cites Rethinking weak supervision in helping contrastive learning,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Rethinking weak supervision in helping contrastive learning,

Reference 29

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Observation 3b88bbeb-8437-47b1-bd25-8c174d9a2274 · outbound

This paper cites Do more negative samples nec- essarily hurt in contrastive learning?.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Do more negative samples nec- essarily hurt in contrastive learning?

Reference 30

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Observation e704569f-d0f6-4af9-bb13-260a9617d222 · outbound

This paper cites Less can be more in con- trastive learning,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Less can be more in con- trastive learning,

Reference 31

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Observation 9629ac5b-cfc4-48fc-90e1-f252c8ec2f64 · outbound

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JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Estimation with quadratic loss,

Reference 32

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Observation 39443af9-9b4e-4360-b649-7d592029133a · outbound

This paper cites Stein’s estimation rule and its competitors—an empirical Bayes approach,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Stein’s estimation rule and its competitors—an empirical Bayes approach,

Reference 33

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Observation adf97e10-6620-424e-bf38-d98700252fe8 · outbound

This paper cites Exact Bayesian inference on discrete models via probability generating functions: A probabilistic programming approach,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Exact Bayesian inference on discrete models via probability generating functions: A probabilistic programming approach,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:59.573173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:11:59.161715Z digest=sha256:3cd695c8f7b72b48fc5f5046beeaf7c13141276171bbc356ed7fc75c4382e54f

Observation 0c285464-e8ee-4759-8660-1130bc03b532 · outbound

This paper cites Deep soft K-means clustering with self-training for single-cell RNA sequence data,.

JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering Deep soft K-means clustering with self-training for single-cell RNA sequence data,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:59.410248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:11:59.210300Z digest=sha256:d71768f9648659e0fe68a1a3812709d3d820d8817b8346d967595104cb38ed8d

Pith citing papers

No inbound Pith citation observations are available.