Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models | Paper Citation Record

Observation 362e8f9a-f6af-48db-9437-9724ae416b08 · outbound

This paper cites An introduction to structural health monitoring,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models An introduction to structural health monitoring,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.946457Z

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Observation 49d549e8-50bb-4ec3-8ef8-954a071bc453 · outbound

This paper cites Structural health monitoring techniques for aircraft composite structures,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Structural health monitoring techniques for aircraft composite structures,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.933457Z

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Observation 3d987909-8be7-4644-a92a-e7cea3661a99 · outbound

This paper cites State-of-the-art technologies for UAV inspections,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models State-of-the-art technologies for UAV inspections,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.920714Z

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Observation ddcb0ed5-4c77-4563-901d-49079341443d · outbound

This paper cites Life-cyclereliability-basedoptimizationofcivilandaerospace structures,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Life-cyclereliability-basedoptimizationofcivilandaerospace structures,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.908175Z

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Observation 8af35fdf-ca2a-46d1-9485-575ad0585797 · outbound

This paper cites Structural health monitoring: Closing the gap between research and industrial deployment,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Structural health monitoring: Closing the gap between research and industrial deployment,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.895305Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a4cd2161-0729-47b2-87e8-1cf445bd034f · outbound

This paper cites Probabilistic active sensing acousto-ultrasound SHM based on non-parametric stochastic representations,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Probabilistic active sensing acousto-ultrasound SHM based on non-parametric stochastic representations,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.882115Z

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Observation 449004c1-1830-4c49-a27d-12057f2bda77 · outbound

This paper cites Towards Unified Probabilistic Rotorcraft Damage De- tection and Quantification via Non-parametric Time Series and Gaussian Process Regression Models,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Towards Unified Probabilistic Rotorcraft Damage De- tection and Quantification via Non-parametric Time Series and Gaussian Process Regression Models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.869380Z

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Observation 4384d622-601c-4093-af84-3a4a222086ba · outbound

This paper cites Damage detection sen- sitivity characterization of acousto-ultrasound-based structural health monitoring techniques,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Damage detection sen- sitivity characterization of acousto-ultrasound-based structural health monitoring techniques,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.856531Z

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Observation d32c6251-c4c4-4c69-aa4e-af94dcac7ed7 · outbound

This paper cites A probabilistic crack size quantification method using in-situ Lamb wave test and Bayesian updating,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models A probabilistic crack size quantification method using in-situ Lamb wave test and Bayesian updating,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.843335Z

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Observation fed4eb6f-c40b-4993-8754-083a5d08f804 · outbound

This paper cites A Lamb wave based fatigue crack length estimation method using finite element simulations,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models A Lamb wave based fatigue crack length estimation method using finite element simulations,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.831924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f29a5194-5937-4559-9596-a374271b517d · outbound

This paper cites Monitoring of fatigue crack propagation by damage index of ultrasonic guided waves calculated by various acoustic features,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Monitoring of fatigue crack propagation by damage index of ultrasonic guided waves calculated by various acoustic features,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.819480Z

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Observation 5e68475a-fc02-4ca7-9a50-9aae91f3a484 · outbound

This paper cites Active interface debonding detection of a concrete- filled steel tube with piezoelectric technologies using wavelet packet analysis,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Active interface debonding detection of a concrete- filled steel tube with piezoelectric technologies using wavelet packet analysis,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.806279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9118afa5-f955-432b-b10f-626d93c5def0 · outbound

This paper cites Piezoelectric Wafer Active Sensors for Structural Health Monitoring of Com- posite Structures Using Tuned Guided Waves,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Piezoelectric Wafer Active Sensors for Structural Health Monitoring of Com- posite Structures Using Tuned Guided Waves,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.792806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 01165a42-45e1-48ed-99c2-127cf5bea59e · outbound

This paper cites Multimodal structural health monitoring based on active and passive sensing,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Multimodal structural health monitoring based on active and passive sensing,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.779843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 225c4078-b41a-486f-bb90-1e011a81c563 · outbound

This paper cites Monitoring fatigue crack growth in narrow structural components using Lamb wave technique,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Monitoring fatigue crack growth in narrow structural components using Lamb wave technique,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.767274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation eaca7266-108a-4c91-8ae2-a416ad17a2db · outbound

This paper cites Comparative study of deterioration of com- posite due to moisture using strain, electro-mechanical impedence, and guided waves,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Comparative study of deterioration of com- posite due to moisture using strain, electro-mechanical impedence, and guided waves,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.754110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 40c37ffd-074e-47a5-8517-716fdf2214d2 · outbound

This paper cites In-situ acousto-ultrasonic monitoring of crack propagation in AL2024 alloy,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models In-situ acousto-ultrasonic monitoring of crack propagation in AL2024 alloy,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.741301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3731e688-bbeb-4ddb-8cde-326c2b1597de · outbound

This paper cites Uncertainty quantification of guided waves propagation for active sensing structural health monitoring,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Uncertainty quantification of guided waves propagation for active sensing structural health monitoring,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.727856Z

Source-reported events for the cited work

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Observation 11d7ebb3-d54a-4a69-b2bb-785d176c7df8 · outbound

This paper cites A stochastic global identification framework for aerospace structures operating under varying flight states,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models A stochastic global identification framework for aerospace structures operating under varying flight states,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.714985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 74cef47a-da55-44ca-ae81-ad70951eae76 · outbound

This paper cites Support-vector networks,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Support-vector networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.703187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bfa388a7-2f71-4bef-b5f1-046a3ccb7c9c · outbound

This paper cites an unresolved cited work.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:19:08.690537Z

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Observation 1a84c966-d187-42bc-aead-e73f2d3411b2 · outbound

This paper cites Physics-constrained deep learn- ing for high-dimensional surrogate modeling and uncertainty quantification without labeled data,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Physics-constrained deep learn- ing for high-dimensional surrogate modeling and uncertainty quantification without labeled data,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.677672Z

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Observation a6c83015-21ab-46aa-84bd-4fdf4b168e48 · outbound

This paper cites Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.664418Z

Source-reported events for the cited work

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Observation 94d3cd27-4f78-4791-b7fe-7dde9e1811f4 · outbound

This paper cites Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T04:19:08.213531Z

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Observation f1eb07b6-e90f-4944-8153-1a4df9cdaad7 · outbound

This paper cites Convolutional neural network and long short-term memory based reduced order surrogate for minimal turbulent channel flow,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Convolutional neural network and long short-term memory based reduced order surrogate for minimal turbulent channel flow,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.651675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d4fe2f2d-6f19-422a-a33f-06bb021371a6 · outbound

This paper cites Numerical Gaussian processes for time- dependentandnonlinearpartialdifferentialequations,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Numerical Gaussian processes for time- dependentandnonlinearpartialdifferentialequations,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.638043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 10eed45d-7bb6-4ff4-9393-34dd0c53bf89 · outbound

This paper cites Uncertainty propagation using infinite mixture of gaus- sian processes and variational bayesian inference,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Uncertainty propagation using infinite mixture of gaus- sian processes and variational bayesian inference,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.625092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 84d32317-2f54-4054-8cb9-0c4736646f5c · outbound

This paper cites Multi-output separable Gaussian pro- cess: Towards an efficient, fully Bayesian paradigm for uncertainty quantification,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Multi-output separable Gaussian pro- cess: Towards an efficient, fully Bayesian paradigm for uncertainty quantification,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.611640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9d333206-f64c-43d0-8084-31e8128dee32 · outbound

This paper cites Gaussian processes in machine learning,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Gaussian processes in machine learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.599855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c74fde7c-0ef1-40a8-a2ee-90517f9c535a · outbound

This paper cites Statistical Time Series Meth- ods for Multicopter Fault Detection and Identification,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Statistical Time Series Meth- ods for Multicopter Fault Detection and Identification,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.588159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 74655520-bb7d-4b1a-96ce-10461646954f · outbound

This paper cites Aircraft parametric structural load monitoring using gaussian process regression,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Aircraft parametric structural load monitoring using gaussian process regression,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.575643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e1df88d5-7417-4730-9ed2-db5e18f16177 · outbound

This paper cites Probabilistic Damage Quantificationvia the Integration of Non-parametric Time-series and Gaussian Process Regression Models,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Probabilistic Damage Quantificationvia the Integration of Non-parametric Time-series and Gaussian Process Regression Models,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.562656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8854c62c-2e72-4d53-9509-5ee3e5f90588 · outbound

This paper cites An information theoretic approach to use high-fidelity codes to calibrate low-fidelity codes,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models An information theoretic approach to use high-fidelity codes to calibrate low-fidelity codes,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.549679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0d2a5896-3387-47b0-9e03-bd764d8eca01 · outbound

This paper cites Multi-fidelity optimization via surrogate modelling,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Multi-fidelity optimization via surrogate modelling,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.537052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2b0f788c-1318-4c32-9562-dba6f2da1853 · outbound

This paper cites Recursive co-kriging model for design of computer experiments with multiple levels of fidelity,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Recursive co-kriging model for design of computer experiments with multiple levels of fidelity,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.524236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 03bb0b72-7ff8-4f0e-9feb-298a9e87ad99 · outbound

This paper cites Multi-fidelity modelling via recursive co-kriging and Gaussian–Markov random fields,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Multi-fidelity modelling via recursive co-kriging and Gaussian–Markov random fields,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.510613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1eef4a17-e78a-41ee-b29f-4a9ed77875a4 · outbound

This paper cites Com- bining experimental data and computer simulations, with an application to flyer plate experi- ments,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Com- bining experimental data and computer simulations, with an application to flyer plate experi- ments,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.497080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d1f3a304-70ee-467f-ae8f-6a3075e7b95f · outbound

This paper cites Computer model calibration using high-dimensional output,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Computer model calibration using high-dimensional output,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.483492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 672622bf-7613-4d68-9185-3b561e6a48d9 · outbound

This paper cites Deep Multi-fidelity Gaussian Processes.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Deep Multi-fidelity Gaussian Processes

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T04:19:08.273621Z

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Unavailable: canonical work link unavailable.

Observation 8a2e4787-7fc6-4f11-8b29-5ae78f63bbd9 · outbound

This paper cites Inferring solutions of differential equations using noisy multi-fidelity data,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Inferring solutions of differential equations using noisy multi-fidelity data,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.470403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7f5f229a-523b-473e-8b22-b1e0b30eb6a8 · outbound

This paper cites Machine learning of linear differential equa- tionsusingGaussianprocesses,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Machine learning of linear differential equa- tionsusingGaussianprocesses,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.458089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fd161133-7a15-4b5e-be30-d01b4f0e51cf · outbound

This paper cites Multi-fidelity Bayesian neural networks: Al- gorithms and applications,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Multi-fidelity Bayesian neural networks: Al- gorithms and applications,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.443928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8098d8cd-3831-4240-9a6c-e16658b7fbd2 · outbound

This paper cites A deep neural network, multi-fidelity surrogate model approach for Bayesian model updating in shm,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models A deep neural network, multi-fidelity surrogate model approach for Bayesian model updating in shm,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.430524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 28bed2c3-7481-471b-a5aa-3033f5edde6e · outbound

This paper cites Damage State Estimation via Multi-fidelity Gaussian Process Regression Models for Active-Sensing Structure Health Monitoring,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Damage State Estimation via Multi-fidelity Gaussian Process Regression Models for Active-Sensing Structure Health Monitoring,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.417447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation feb6427d-ad4c-46b4-90f4-a0d9c092c28c · outbound

This paper cites Loadmonitoringandcompensationstrategiesforguided- waves based structural health monitoring using piezoelectric transducers,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Loadmonitoringandcompensationstrategiesforguided- waves based structural health monitoring using piezoelectric transducers,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.403616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 53dc3ff0-1843-46e7-93ff-9b74702b3eb5 · outbound

This paper cites A novel physics-based temperature compensation model for structural health monitoring using ultrasonic guided waves,.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models A novel physics-based temperature compensation model for structural health monitoring using ultrasonic guided waves,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:19:08.389450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2acccf01-bb4d-4cfe-b793-cdd225147489 · outbound

This paper cites Gaussian Process Regression for Active Sensing Probabilistic Structural Health Monitoring: Experimental Assessment Across Multiple Damage and Loading Scenarios.

Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models Gaussian Process Regression for Active Sensing Probabilistic Structural Health Monitoring: Experimental Assessment Across Multiple Damage and Loading Scenarios

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:19:08.347640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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