Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach | Paper Citation Record

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This paper cites Industry 4.0 and industry 5.0—inception, conception and perception,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Industry 4.0 and industry 5.0—inception, conception and perception,

Reference 1

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This paper cites Developing human capabilities for supply chains: an industry 5.0 perspective,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Developing human capabilities for supply chains: an industry 5.0 perspective,

Reference 2

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This paper cites Industry 5.0: towards a sustainable, human-centric and resilient european industry,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Industry 5.0: towards a sustainable, human-centric and resilient european industry,

Reference 3

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This paper cites Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (covid-19/sars-cov-2) case,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (covid-19/sars-cov-2) case,

Reference 4

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This paper cites Disruption detection for a cognitive digital supply chain twin using hybrid deep learning,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Disruption detection for a cognitive digital supply chain twin using hybrid deep learning,

Reference 5

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This paper cites Supply chain risk management and artificial intelligence: state of the art and future re- search directions,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Supply chain risk management and artificial intelligence: state of the art and future re- search directions,

Reference 6

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This paper cites A systematic review of the research trends of machine learning in supply chain management,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach A systematic review of the research trends of machine learning in supply chain management,

Reference 7

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This paper cites Quantum computing methods for supply chain management,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Quantum computing methods for supply chain management,

Reference 8

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This paper cites A review of predictive uncertainty estimation with machine learning,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach A review of predictive uncertainty estimation with machine learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:52:41.917724Z

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This paper cites A survey on uncertainty quantification in deep learning for financial time series prediction,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach A survey on uncertainty quantification in deep learning for financial time series prediction,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:52:41.898299Z

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This paper cites Schuld and F.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Schuld and F

Reference 11

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This paper cites Variational quantum algorithms,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Variational quantum algorithms,

Reference 12

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This paper cites Applying monte carlo dropout to quantify the uncertainty of skip connection-based convolu- tional neural networks optimized by big data,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Applying monte carlo dropout to quantify the uncertainty of skip connection-based convolu- tional neural networks optimized by big data,

Reference 13

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This paper cites Uncertainty quantification for digital twins in smart manufacturing and robotics: A review,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Uncertainty quantification for digital twins in smart manufacturing and robotics: A review,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:52:41.848039Z

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This paper cites Modelling and prediction of major soil chemical properties with random forest: Machine learning as tool to understand soil-environment relationships in antarctica,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Modelling and prediction of major soil chemical properties with random forest: Machine learning as tool to understand soil-environment relationships in antarctica,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:52:41.831960Z

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Observation d1d0d560-ea4a-4993-9d2a-48748ba23462 · outbound

This paper cites Evaluating high-variance leaves as uncertainty measure for random forest regression,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Evaluating high-variance leaves as uncertainty measure for random forest regression,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:52:41.816324Z

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This paper cites Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial,

Reference 17

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Observation 4df69b76-a44d-4ff1-ab03-918bd18f3d92 · outbound

This paper cites DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling

Reference 18

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Observation 1995b7ce-99f2-4c1b-bc2f-ea27ce1b363b · outbound

This paper cites Quantum approximate bayesian optimization algorithms with two mixers and uncertainty quantification,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Quantum approximate bayesian optimization algorithms with two mixers and uncertainty quantification,

Reference 19

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Observation 4cdb94ae-bcd8-4925-a181-743e64d67d1e · outbound

This paper cites Bayesian quantum neural networks,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Bayesian quantum neural networks,

Reference 20

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This paper cites Quantum conformal prediction for reliable uncertainty quantification in quantum machine learning,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Quantum conformal prediction for reliable uncertainty quantification in quantum machine learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:52:41.759169Z

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Observation 6e4a6ec6-ee51-4a71-b95a-b320670719e4 · outbound

This paper cites Triqxnet: Forecasting dst index from solar wind data using an interpretable parallel classical-quantum framework with uncertainty quantification,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Triqxnet: Forecasting dst index from solar wind data using an interpretable parallel classical-quantum framework with uncertainty quantification,

Reference 22

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Observation 26cbdd16-af1b-45b7-a2f0-d5efdf87accc · outbound

This paper cites Quantum embeddings for machine learning.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Quantum embeddings for machine learning

Reference 23

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This paper cites KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection

Reference 24

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This paper cites Scikit-learn: Machine learning in python,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Scikit-learn: Machine learning in python,

Reference 25

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Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Unresolved cited work

Reference 26

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This paper cites Goodfellow, Y.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Goodfellow, Y

Reference 27

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This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 28

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This paper cites Quantile regression,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Quantile regression,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:52:41.714629Z

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Observation 49dc0d70-70cc-4145-9a4c-f1f05711b3bb · outbound

This paper cites Random forests,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Random forests,

Reference 30

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This paper cites A study of cross-validation and bootstrap for accuracy estimation and model selection,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach A study of cross-validation and bootstrap for accuracy estimation and model selection,

Reference 31

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Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Adam: A Method for Stochastic Optimization

Reference 32

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This paper cites Dropout: a simple way to prevent neural networks from over- fitting,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Dropout: a simple way to prevent neural networks from over- fitting,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:52:41.680618Z

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Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Unresolved cited work

Reference 34

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This paper cites Interpreting uncertainty in bayesian linear regression,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Interpreting uncertainty in bayesian linear regression,

Reference 35

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Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Dropout as a bayesian approximation: Representing model uncertainty in deep learning,

Reference 36

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This paper cites Compre- hensive review of neural network-based prediction intervals and new advances,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Compre- hensive review of neural network-based prediction intervals and new advances,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:52:41.631960Z

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This paper cites Hawkins, d. m.: Identification of outliers. chapman and hall, london – new york 1980, 188 s., £ 14, 50,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Hawkins, d. m.: Identification of outliers. chapman and hall, london – new york 1980, 188 s., £ 14, 50,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:52:41.617252Z

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This paper cites Wilcoxon signed-rank test,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Wilcoxon signed-rank test,

Reference 39

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This paper cites Methodology and application of the kruskal-wallis test,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Methodology and application of the kruskal-wallis test,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:52:41.592403Z

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This paper cites Financial modeling: Capm & wacc,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Financial modeling: Capm & wacc,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:52:41.577259Z

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Observation 1e139340-13c5-4865-ae90-030dda2c8e1a · outbound

This paper cites Gareth, W.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Gareth, W

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:52:41.562931Z

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This paper cites Quantum theory approach to performance enhancement in machine learning,.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Quantum theory approach to performance enhancement in machine learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:52:41.549056Z

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Observation 674ba8a7-64d6-4e76-be62-5cd2227ff2c2 · outbound

This paper cites A Comparative Analysis of Hybrid-Quantum Classical Neural Networks.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach A Comparative Analysis of Hybrid-Quantum Classical Neural Networks

Reference 44

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Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Unresolved cited work

Reference 45

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Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Unresolved cited work

Reference 46

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Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Unresolved cited work

Reference 47

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Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Unresolved cited work

Reference 48

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Observation 8302e62f-90f3-495c-a32f-26e5695522a0 · outbound

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Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:52:41.474215Z

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Observation dc951511-679c-46b3-a7c5-a4b45fa9bc2c · outbound

This paper cites • Target variable: disruption_impact.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach • Target variable: disruption_impact

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:52:41.459629Z

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Observation 1e4ee2c3-af9d-4b85-80f5-b98a6e07a327 · outbound

This paper cites an unresolved cited work.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Unresolved cited work

Reference 51

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Observation 1267f678-f43e-4f2a-8eb7-bc3bcdb52a67 · outbound

This paper cites • Transform both the training and testing data using the fitted scaler.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach • Transform both the training and testing data using the fitted scaler

Reference 52

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