Paper Citation Record · LEDGER

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders

As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2504.16130.

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

pith.paper-citation-record.v1
2504.16130 v1

Coverage vector

measured 42 of 42 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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External citation measurements

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Outbound references

Observation 4e4ad8be-fafc-4b4f-b321-073cf49e8adf · outbound

This paper cites Sunney Xie.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Sunney Xie

Reference 1

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This paper cites Multi-point scanning confocal Raman spectroscopy for accurate identification of microorganisms at the single-cell level.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Multi-point scanning confocal Raman spectroscopy for accurate identification of microorganisms at the single-cell level

Reference 2

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This paper cites Bohndiek.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Bohndiek

Reference 3

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Observation b62f15cb-e118-4797-b873-5b66063ce5ce · outbound

This paper cites Pretreatment-free SERS sensing of microplastics using a self- attention-based neural network on hierarchically porous Ag foams.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Pretreatment-free SERS sensing of microplastics using a self- attention-based neural network on hierarchically porous Ag foams

Reference 4

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This paper cites Alkyne-tagged SERS nanoprobe for un- derstanding Cu+ and Cu2+ conversion in cuproptosis processes.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Alkyne-tagged SERS nanoprobe for un- derstanding Cu+ and Cu2+ conversion in cuproptosis processes

Reference 5

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Observation 1a36e2e4-4240-4562-89ad-930c406ce9f1 · outbound

This paper cites Single test-based diagnosis of multiple cancer types using Exosome-SERS-AI for early stage cancers.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Single test-based diagnosis of multiple cancer types using Exosome-SERS-AI for early stage cancers

Reference 6

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Observation 010a2f44-8db5-4571-94ff-4233ed443ff6 · outbound

This paper cites Rapid, label-free histopathological diagnosis of liver cancer based on Raman spectroscopy and deep learning.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Rapid, label-free histopathological diagnosis of liver cancer based on Raman spectroscopy and deep learning

Reference 7

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This paper cites Kobayashi-Kirschvink, Giulio Cerullo, Renzo Vanna, Peter T.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Kobayashi-Kirschvink, Giulio Cerullo, Renzo Vanna, Peter T

Reference 8

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Observation 8313f777-134a-476e-a23a-e963697de6d2 · outbound

This paper cites Advances in the Application of Artificial Intelligence-Based Spectral Data Interpretation: A Perspective.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Advances in the Application of Artificial Intelligence-Based Spectral Data Interpretation: A Perspective

Reference 9

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Observation 60a88935-2529-47b3-bd60-201a052e546a · outbound

This paper cites Patch-Based Convolutional Encoder: A Deep Learning Algorithm for Spectral Classification Balancing the Local and Global Information.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Patch-Based Convolutional Encoder: A Deep Learning Algorithm for Spectral Classification Balancing the Local and Global Information

Reference 10

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Observation 423ecc70-a760-4f20-b3c9-a12e48d10759 · outbound

This paper cites Combined Mutual Learning Net for Raman Spectral Microbial Strain Identification.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Combined Mutual Learning Net for Raman Spectral Microbial Strain Identification

Reference 11

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Observation cc94daba-0c4b-4d91-a62d-5db9dfbcd8aa · outbound

This paper cites Scale-Adaptive Deep Model for Bacterial Raman Spectra Identification.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Scale-Adaptive Deep Model for Bacterial Raman Spectra Identification

Reference 12

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This paper cites Deep Learning for Biospectroscopy and Biospectral Imaging: State-of-the-Art and Perspectives.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Deep Learning for Biospectroscopy and Biospectral Imaging: State-of-the-Art and Perspectives

Reference 13

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Observation a95bc81d-dc68-4113-a670-a72cc3aac0bc · outbound

This paper cites Classifying breast cancer tissue by Raman spectroscopy with one-dimensional convolutional neural network.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Classifying breast cancer tissue by Raman spectroscopy with one-dimensional convolutional neural network

Reference 14

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Observation 12bec2ac-b77c-4e09-8aa9-8393df85b26e · outbound

This paper cites Gibson, James Mills, and Margarita Osadchy.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Gibson, James Mills, and Margarita Osadchy

Reference 15

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This paper cites Chen, Jalen Thomas, Yuan Liu, Haohua Tu, and Stephen A.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Chen, Jalen Thomas, Yuan Liu, Haohua Tu, and Stephen A

Reference 16

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A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Unresolved cited work

Reference 17

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This paper cites Identification of methicillin-resistant Staphylococcus aureus bacteria using surface-enhanced Raman spectroscopy and machine learning techniques.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Identification of methicillin-resistant Staphylococcus aureus bacteria using surface-enhanced Raman spectroscopy and machine learning techniques

Reference 18

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This paper cites Applications of Raman Spectroscopy in Bacterial Infections: Principles, Advantages, and Shortcomings.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Applications of Raman Spectroscopy in Bacterial Infections: Principles, Advantages, and Shortcomings

Reference 19

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Observation 45b8c59d-e747-4a00-818d-37c0b08a09e7 · outbound

This paper cites Unsupervised convolutional variational autoencoder deep embedding clustering for Raman spectra.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Unsupervised convolutional variational autoencoder deep embedding clustering for Raman spectra

Reference 20

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Observation 68cbd8a1-9a70-4c56-aba7-ca9710d57eeb · outbound

This paper cites RamanCluster: A deep clustering-based framework for unsupervised Raman spectral identification of pathogenic bacteria.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders RamanCluster: A deep clustering-based framework for unsupervised Raman spectral identification of pathogenic bacteria

Reference 21

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Observation 7f2a8cc6-5acd-4271-9d13-c31fda528796 · outbound

This paper cites A Cookbook of Self-Supervised Learning.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders A Cookbook of Self-Supervised Learning

Reference 22

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This paper cites Masked Autoencoders Are Scalable Vision Learners.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Masked Autoencoders Are Scalable Vision Learners

Reference 23

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Observation 89988654-f3ab-4129-8c52-d4cec6306de0 · outbound

This paper cites SimMIM: A Simple Framework for Masked Image Modeling.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders SimMIM: A Simple Framework for Masked Image Modeling

Reference 24

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This paper cites Context Autoencoder for Self-supervised Representation Learning.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Context Autoencoder for Self-supervised Representation Learning

Reference 25

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This paper cites VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Reference 26

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Observation 585b524e-91e2-4fa5-a6b8-27905a04d850 · outbound

This paper cites Masked Autoencoders As Spatiotemporal Learners.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Masked Autoencoders As Spatiotemporal Learners

Reference 27

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This paper cites Masked Autoencoders that Listen.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Masked Autoencoders that Listen

Reference 28

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 29

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This paper cites Emer- gence of molecular structures from repository-scale self-supervised learning on tandem mass spectra, April 2024.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Emer- gence of molecular structures from repository-scale self-supervised learning on tandem mass spectra, April 2024

Reference 30

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Observation acb56f17-3458-46c4-9dcc-8ba6f2771a2e · outbound

This paper cites Jensen, Eduarda M.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Jensen, Eduarda M

Reference 31

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Observation 57eb8f5e-af98-4519-94af-b494c7eb75c5 · outbound

This paper cites Data Augmentation of Spectral Data for Convolutional Neural Network (CNN) Based Deep Chemometrics.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Data Augmentation of Spectral Data for Convolutional Neural Network (CNN) Based Deep Chemometrics

Reference 32

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This paper cites From Genotype to Phenotype: Raman Spectroscopy and Machine Learning for Label-Free Single-Cell Analysis.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders From Genotype to Phenotype: Raman Spectroscopy and Machine Learning for Label-Free Single-Cell Analysis

Reference 33

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This paper cites Hogan, Lena Blackmon, Stefanie S.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Hogan, Lena Blackmon, Stefanie S

Reference 34

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This paper cites Horgan, Magnus Jensen, Anika Nagelkerke, Jean-Philippe St-Pierre, Tom Vercauteren, Molly M.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Horgan, Magnus Jensen, Anika Nagelkerke, Jean-Philippe St-Pierre, Tom Vercauteren, Molly M

Reference 35

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This paper cites Attention Is All You Need.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Attention Is All You Need

Reference 36

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

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders A Simple Framework for Contrastive Learning of Visual Representations

Reference 37

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This paper cites Contrastive Clustering, September.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Contrastive Clustering, September

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:41:10.837390Z

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Observation 0be435fe-cf74-43fe-9c06-0bb560738f5a · outbound

This paper cites Time-Series Representation Learning via Temporal and Contextual Contrasting.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Time-Series Representation Learning via Temporal and Contextual Contrasting

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:41:10.826379Z

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This paper cites Arnold, and Bing Xiang.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Arnold, and Bing Xiang

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:41:10.815655Z

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Observation e6cc5bf8-6dc5-4452-a510-b9456c62a0e4 · outbound

This paper cites Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:41:10.805407Z

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Observation 667d0b68-d44b-4c0f-9865-8d83510d9fd8 · outbound

This paper cites Contrastive Clustering.

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders Contrastive Clustering

Reference 2020

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Pith citing papers

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