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Paper Citation Record · LEDGER

Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations

As of 23 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2412.03497.

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

pith.paper-citation-record.v1
2412.03497 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

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Pith citing papers itemized under the disclosed page cap.

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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 ccb693e8-20a5-4cf6-a9b8-4a06b2a67053 · outbound

This paper cites Verification, validation, and predictive capability in computa- tional engineering and physics,.

Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Verification, validation, and predictive capability in computa- tional engineering and physics,

Reference 1

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Observation eb828732-8127-4c1f-ad3d-478b407a7f51 · outbound

This paper cites Unified Framework and Survey for Model Verifica- tion, Validation and Uncertainty Quantification,.

Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Unified Framework and Survey for Model Verifica- tion, Validation and Uncertainty Quantification,

Reference 2

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Observation 901efe36-a26c-41cf-aa10-960ae4a8263b · outbound

This paper cites Fundamental concepts and terminology,.

Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Fundamental concepts and terminology,

Reference 3

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Observation 090602a8-6c71-4c4e-99c2-a584a94ae181 · outbound

This paper cites Accelerating Chemical Kinetics Calculations With Physics Informed Neural Networks,.

Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Accelerating Chemical Kinetics Calculations With Physics Informed Neural Networks,

Reference 4

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Observation 542b7510-2512-4e8f-813f-d086210dd51a · outbound

This paper cites Surrogate modelling of VLE: Integrating machine learning with thermodynamic constraints,.

Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Surrogate modelling of VLE: Integrating machine learning with thermodynamic constraints,

Reference 5

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This paper cites Design Space Exploration of Turbulent Multiphase Flows Using Machine Learning-Based Surrogate Model,.

Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Design Space Exploration of Turbulent Multiphase Flows Using Machine Learning-Based Surrogate Model,

Reference 6

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Observation f5706986-bf90-4796-baec-d4cd6c8322f5 · outbound

This paper cites Deep learning for NLTE spectral opacities,.

Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Deep learning for NLTE spectral opacities,

Reference 7

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Observation 1c6a41a8-8215-4099-87d1-bd26d22d1799 · outbound

This paper cites Physics-informed neural networks: A deep learning frame- work for solving forward and inverse problems involving nonlinear partial differential equations,.

Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Physics-informed neural networks: A deep learning frame- work for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 8

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Observation 65cfec43-7e13-4570-ac6f-d8dfd57a65ae · outbound

This paper cites Energy-based Out-of-distribution Detection,.

Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Energy-based Out-of-distribution Detection,

Reference 9

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Observation 316c3d28-8f95-446e-8353-a48cbe353823 · outbound

This paper cites Deep Anomaly Detection with Outlier Exposure.

Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Deep Anomaly Detection with Outlier Exposure

Reference 10

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Observation c8b78b92-bb07-4ade-93b2-c9b5eb614552 · outbound

This paper cites Weight Uncertainty in Neural Networks,.

Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Weight Uncertainty in Neural Networks,

Reference 11

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Observation bb225dff-b860-4f4f-8c69-a18059e45d84 · outbound

This paper cites Bayesian Neural Network Priors Revisited.

Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Bayesian Neural Network Priors Revisited

Reference 12

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Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Unresolved cited work

Reference 13

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This paper cites Bayesian Deep Learning and a Probabilistic Perspective of Generalization,.

Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Bayesian Deep Learning and a Probabilistic Perspective of Generalization,

Reference 14

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Observation fc99bc5e-9702-4c66-879b-6fb76a7adeb5 · outbound

This paper cites Output-Constrained Bayesian Neural Networks.

Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Output-Constrained Bayesian Neural Networks

Reference 15

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Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Reference 16

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Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Fast dropout training,

Reference 17

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Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Reference 18

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Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Single Model Uncertainty Estimation via Stochastic Data Centering

Reference 19

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Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations PAGER: Accurate Failure Characterization in Deep Regression Models,

Reference 20

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This paper cites Generalized Out-of-Distribution Detection: A Survey,.

Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Generalized Out-of-Distribution Detection: A Survey,

Reference 21

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Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations An Arithmetic Checksum for Serial Transmissions,

Reference 22

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Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Efficient error estimating coding: feasibility and applications,

Reference 23

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Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations mEEC: A novel error estimation code with multi-dimensional feature,

Reference 24

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Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Soft Checksum Method for Error-tolerant Multi-hop Transmission in Wireless Sen- sor Networks,

Reference 25

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Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Cretin—a radiative transfer capability for laboratory plasmas,

Reference 26

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Observation 71342e39-9d6e-4eef-a0d2-193266e26a26 · outbound

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Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Weight Uncertainty in Neural Networks

Reference 2015

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This paper cites Bayesian Deep Learning and a Probabilistic Perspective of Generalization.

Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Bayesian Deep Learning and a Probabilistic Perspective of Generalization

Reference 2022

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