Paper Citation Record · LEDGER

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

As of 22 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.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:24:26.987008Z

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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.

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:27.569307Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:27.551099Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:27.517200Z

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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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Source-reported events for the cited work

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Observation f81875e0-3c7d-4ae8-97b3-5981918b770e · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:27.455590Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:27.438622Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:27.420075Z

Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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Observation 347d476b-234c-46ba-8901-3bada650d791 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:27.363846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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Observation 6c90757d-4649-4cc6-a8df-659035d3d842 · outbound

This paper cites Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning.

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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Observation 83c0e108-b470-48d7-8210-2d3e435274be · outbound

This paper cites Fast dropout training,.

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

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:27.340291Z

Source-reported events for the cited work

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Observation 17003766-da61-49f7-b920-1d67f8c476c0 · outbound

This paper cites Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles.

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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This paper cites Single Model Uncertainty Estimation via Stochastic Data Centering.

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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This paper cites PAGER: Accurate Failure Characterization in Deep Regression Models,.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:27.320825Z

Source-reported events for the cited work

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Observation 376852e6-589f-4e88-be80-6e7de8eab2f7 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:27.297313Z

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Observation 9f26e207-574c-4d24-a762-75dd21878096 · outbound

This paper cites An Arithmetic Checksum for Serial Transmissions,.

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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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a2903947-4c61-4218-8062-5c2a0ebd72ab · outbound

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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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This paper cites mEEC: A novel error estimation code with multi-dimensional feature,.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:27.237594Z

Source-reported events for the cited work

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Observation e3f0ac16-7912-4218-b7cf-ac753257f1a3 · outbound

This paper cites Soft Checksum Method for Error-tolerant Multi-hop Transmission in Wireless Sen- sor Networks,.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:27.218455Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:27.199875Z

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Observation 71342e39-9d6e-4eef-a0d2-193266e26a26 · 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 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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Source-reported events for the cited work

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Pith citing papers

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