Paper Citation Record · LEDGER

Introducing Interval Neural Networks for Uncertainty-Aware System Identification

As of 18 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2504.18845.

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pith.paper-citation-record.v1
2504.18845 v1

Coverage vector

measured 28 of 28 reference resolution

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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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measured 0 of 1 external citation measurements

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

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Reference resolution

28 of 28 outbound references displayed

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External citation measurements

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Outbound references

Observation 3f28ace9-7d59-4702-9e52-fed249d1bb2d · outbound

This paper cites Ljung, System Identification: Theory for the User.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Ljung, System Identification: Theory for the User

Reference 1

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This paper cites Identification of dynamic models in complex networks with prediction error methods: Predictor input selection,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Identification of dynamic models in complex networks with prediction error methods: Predictor input selection,

Reference 2

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This paper cites Initial results in power system identification from injected probing signals using a subspace method,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Initial results in power system identification from injected probing signals using a subspace method,

Reference 3

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This paper cites Deep networks for system identification: A survey,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Deep networks for system identification: A survey,

Reference 4

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This paper cites A novel federated learning framework for system identification,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification A novel federated learning framework for system identification,

Reference 5

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This paper cites Long short-term memory,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Long short-term memory,

Reference 6

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This paper cites Neural ordinary differential equations,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Neural ordinary differential equations,

Reference 7

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Observation 4de92a78-82b6-468e-9805-07d40246ee31 · outbound

This paper cites Deep learning frameworks to learn prediction and simulation focused control system models,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Deep learning frameworks to learn prediction and simulation focused control system models,

Reference 8

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This paper cites Neural ordinary differential equations for nonlinear system identification,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Neural ordinary differential equations for nonlinear system identification,

Reference 9

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This paper cites Enhancing continuous time series modelling with a latent ode-lstm approach,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Enhancing continuous time series modelling with a latent ode-lstm approach,

Reference 10

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Observation e4394966-697d-44c6-bd92-62fed55905cc · outbound

This paper cites A comprehensive framework for verification, validation, and uncertainty quantification in scientific com- puting,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification A comprehensive framework for verification, validation, and uncertainty quantification in scientific com- puting,

Reference 11

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Observation 15d53c4a-c7fe-4a52-ad7c-d5ab5357f2c5 · outbound

This paper cites A review of uncertainty quantification in deep learning: Techniques, applications and challenges,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification A review of uncertainty quantification in deep learning: Techniques, applications and challenges,

Reference 12

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This paper cites Exploring zadeh’s general type- 2 fuzzy logic systems for uncertainty quantification,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Exploring zadeh’s general type- 2 fuzzy logic systems for uncertainty quantification,

Reference 13

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This paper cites Odyssey of interval type-2 fuzzy logic systems: Learning strategies for uncertainty quantification,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Odyssey of interval type-2 fuzzy logic systems: Learning strategies for uncertainty quantification,

Reference 14

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This paper cites High-quality prediction intervals for deep learning: A distribution-free, ensembled approach,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification High-quality prediction intervals for deep learning: A distribution-free, ensembled approach,

Reference 15

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

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Compre- hensive review of neural network-based prediction intervals and new advances,

Reference 16

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This paper cites Assessments of epistemic uncertainty using gaussian stochastic weight averaging for fluid-flow regression,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Assessments of epistemic uncertainty using gaussian stochastic weight averaging for fluid-flow regression,

Reference 17

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Observation 24ddc851-1bd8-423d-aba5-20902c5938c4 · outbound

This paper cites Universal approximation theorem for interval neural networks,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Universal approximation theorem for interval neural networks,

Reference 18

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This paper cites Understanding Certified Training with Interval Bound Propagation.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Understanding Certified Training with Interval Bound Propagation

Reference 19

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This paper cites Neural network model for imprecise regression with interval dependent variables,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Neural network model for imprecise regression with interval dependent variables,

Reference 20

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This paper cites Efficient training of interval neural networks for imprecise training data,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Efficient training of interval neural networks for imprecise training data,

Reference 21

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Observation 8bdd7c1b-9316-4ca7-9fc5-ca0ae2cdf5ba · outbound

This paper cites Interval Neural Networks: Uncertainty Scores.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Interval Neural Networks: Uncertainty Scores

Reference 22

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Observation a61ebdeb-71c2-47e0-b8f4-b3db57e48b10 · outbound

This paper cites Interval arithmetic: From principles to implementation,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Interval arithmetic: From principles to implementation,

Reference 23

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This paper cites Anodev2: A coupled neural ode framework,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Anodev2: A coupled neural ode framework,

Reference 24

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Observation bd9f621a-3551-4dd2-a35c-90972ba74e26 · outbound

This paper cites Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise

Reference 25

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This paper cites Identification of hammerstein systems without explicit parameterisation of non-linearity,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Identification of hammerstein systems without explicit parameterisation of non-linearity,

Reference 26

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This paper cites Daisy: Database for the identification of systems,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Daisy: Database for the identification of systems,

Reference 27

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Observation 27107b3d-e276-4d5d-a94d-d6d830e0449f · outbound

This paper cites Short-term load and wind power forecasting using neural network-based prediction intervals,.

Introducing Interval Neural Networks for Uncertainty-Aware System Identification Short-term load and wind power forecasting using neural network-based prediction intervals,

Reference 28

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Pith citing papers

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