A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization | Paper Citation Record

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This paper cites https:// www.voestalpine.com/technischerservice/Mechanik/Thermische-Beschichtung.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization https:// www.voestalpine.com/technischerservice/Mechanik/Thermische-Beschichtung

Reference 1

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This paper cites A comparative study of progressive prefer- ence articulation techniques for multiobjective optimisation.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization A comparative study of progressive prefer- ence articulation techniques for multiobjective optimisation

Reference 2

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This paper cites an unresolved cited work.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Unresolved cited work

Reference 3

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This paper cites A review on thermal spray coating processes.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization A review on thermal spray coating processes

Reference 4

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This paper cites A review of testing methods for thermal spray coatings.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization A review of testing methods for thermal spray coatings

Reference 5

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This paper cites A hybrid NSGA-II and VNS for solving a bi-objective no-wait flexible flowshop scheduling problem.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization A hybrid NSGA-II and VNS for solving a bi-objective no-wait flexible flowshop scheduling problem

Reference 6

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This paper cites Two-point step size gradient methods.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Two-point step size gradient methods

Reference 7

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This paper cites Artificial neural networks applied to the analysis of performance and wear resistance of binary coatings Cr3C237WC18M and WC20Cr 3C27Ni.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Artificial neural networks applied to the analysis of performance and wear resistance of binary coatings Cr3C237WC18M and WC20Cr 3C27Ni

Reference 8

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This paper cites Nonmonotone spectral projected gradient methods on convex sets.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Nonmonotone spectral projected gradient methods on convex sets

Reference 9

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This paper cites Spectral projected gradient methods: review and perspectives.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Spectral projected gradient methods: review and perspectives

Reference 10

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This paper cites Tournament selection.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Tournament selection

Reference 11

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This paper cites Numerical optimization: theoretical and practical aspects.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Numerical optimization: theoretical and practical aspects

Reference 12

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A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Convex optimization

Reference 13

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This paper cites The convergence of a class of double-rank minimization algorithms 1.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization The convergence of a class of double-rank minimization algorithms 1

Reference 14

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This paper cites Optimization models.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Optimization models

Reference 15

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This paper cites Compar- ison of multi-objective optimization methodologies for engineering applications.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Compar- ison of multi-objective optimization methodologies for engineering applications

Reference 16

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This paper cites Desirability function approach: a review and performance evaluation in adverse conditions.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Desirability function approach: a review and performance evaluation in adverse conditions

Reference 17

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This paper cites Analysing the robustness of NSGA-II under noise.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Analysing the robustness of NSGA-II under noise

Reference 18

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This paper cites A closer look at drawbacks of minimizing weighted sums of ob- jectives for pareto set generation in multicriteria optimization problems.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization A closer look at drawbacks of minimizing weighted sums of ob- jectives for pareto set generation in multicriteria optimization problems

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:02.382955Z

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This paper cites Handbook of Thermal Spray Technology.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Handbook of Thermal Spray Technology

Reference 20

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This paper cites Multi-objective genetic algorithms: Problem difficulties and construction of test problems.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Multi-objective genetic algorithms: Problem difficulties and construction of test problems

Reference 21

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This paper cites An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints

Reference 22

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This paper cites A fast and elitist multiobjective genetic algorithm: NSGA-II.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization A fast and elitist multiobjective genetic algorithm: NSGA-II

Reference 23

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This paper cites Multi-objective optimization.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Multi-objective optimization

Reference 24

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This paper cites Simultaneous optimization of several response variables.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Simultaneous optimization of several response variables

Reference 25

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This paper cites Regression: Models, Methods and Applications.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Regression: Models, Methods and Applications

Reference 26

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This paper cites Thermal Spray Fundamentals: From Powder to Part.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Thermal Spray Fundamentals: From Powder to Part

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:02.285740Z

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This paper cites Industrial applications of thermal spraying technology.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Industrial applications of thermal spraying technology

Reference 28

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A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization A new approach to variable metric algorithms

Reference 29

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This paper cites The current status of thermal spraying in Asia.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization The current status of thermal spraying in Asia

Reference 30

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A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization The computational algorithm for the parametric objective function

Reference 31

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A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization A family of variable-metric methods derived by variational means

Reference 32

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This paper cites A review of multi-objective optimization: Methods and its applications.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization A review of multi-objective optimization: Methods and its applications

Reference 33

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This paper cites The desirability function.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization The desirability function

Reference 34

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This paper cites A robust interactive desirability function approach for multiple response optimization considering model uncertainty.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization A robust interactive desirability function approach for multiple response optimization considering model uncertainty

Reference 35

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A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Perspectives on the future of manufacturing within the Industry 4.0 era

Reference 36

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A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Multiphysics modelling of manufacturing processes: A review

Reference 37

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A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Unresolved cited work

Reference 38

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A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Applications of utility concept and desirability function for materials selection

Reference 39

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This paper cites Optimization by direct search: New perspectives on some classical and modern methods.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Optimization by direct search: New perspectives on some classical and modern methods

Reference 40

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This paper cites desirability2: Desirability Functions for Multiparameter Optimization , 2023.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization desirability2: Desirability Functions for Multiparameter Optimization , 2023

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:02.112678Z

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This paper cites Prediction and analysis of high velocity oxy fuel (HVOF) sprayed coating using artificial neural network.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Prediction and analysis of high velocity oxy fuel (HVOF) sprayed coating using artificial neural network

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:02.100095Z

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This paper cites The weighted sum method for multi-objective optimization: new insights.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization The weighted sum method for multi-objective optimization: new insights

Reference 43

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This paper cites Praxis des thermischen Spritzens: Anleitung f¨ ur das Fachpersonal.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Praxis des thermischen Spritzens: Anleitung f¨ ur das Fachpersonal

Reference 44

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This paper cites Material product data sheet.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Material product data sheet

Reference 45

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This paper cites Nonlinear multiobjective optimization , volume 12.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Nonlinear multiobjective optimization , volume 12

Reference 46

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This paper cites Multi-objective optimization methods as a decision making strategy.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Multi-objective optimization methods as a decision making strategy

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:02.041729Z

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This paper cites Aspiration level approach to interactive multi-objective programming and its applications.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Aspiration level approach to interactive multi-objective programming and its applications

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:02.028921Z

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This paper cites Generalized linear models.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Generalized linear models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:02.016165Z

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This paper cites Numerical optimization.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Numerical optimization

Reference 50

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This paper cites Numerical analysis of flame and particle behavior in an HVOF thermal spray process.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Numerical analysis of flame and particle behavior in an HVOF thermal spray process

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.994984Z

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Observation ea4880b4-ec39-4f04-a6f1-ae080c95ac95 · outbound

This paper cites Design of experiments in thermal spraying: A review.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Design of experiments in thermal spraying: A review

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.983138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d48ebdfd-9b3f-4bc6-ac87-0e804cad5c77 · outbound

This paper cites R: A Language and Environment for Statistical Computing.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization R: A Language and Environment for Statistical Computing

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.970863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 332a8386-acb5-435e-b246-2e2661fe84d1 · outbound

This paper cites Enhancing pre- dictive quality in HVOF coating technology: A comparative analysis of machine learning lech- niques.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Enhancing pre- dictive quality in HVOF coating technology: A comparative analysis of machine learning lech- niques

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.959029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a6c4951b-09da-43aa-b7c8-6737f575f3db · outbound

This paper cites Virtual sensors and thermal modelling for quality control in industrial thermal spraying.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Virtual sensors and thermal modelling for quality control in industrial thermal spraying

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.947062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 12a008ea-dffd-4196-825f-d449f348ba76 · outbound

This paper cites Predictive mod- elling of critical variables for improving HVOF coating using gamma regression models.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Predictive mod- elling of critical variables for improving HVOF coating using gamma regression models

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.933207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 894708bb-e7cd-4b9c-9a4f-a8ca22d4fbae · outbound

This paper cites Leveraging real- time data analysis and multiple kernel learning for manufacturing of innovative steels.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Leveraging real- time data analysis and multiple kernel learning for manufacturing of innovative steels

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.921239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d123cc3c-a986-4cdb-9c18-692ce77f35cb · outbound

This paper cites Optimization: theory and applications.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Optimization: theory and applications

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.909069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c708e778-3e7f-41b0-88a7-0316676376a1 · outbound

This paper cites Experimental investigation of erosion corrosion performance and slurry erosion mechanism of HVOF sprayed WC-10Co coatings using design of experiment approach.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Experimental investigation of erosion corrosion performance and slurry erosion mechanism of HVOF sprayed WC-10Co coatings using design of experiment approach

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.897192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b2d0ffcd-0bfd-4893-b331-e103e75986a6 · outbound

This paper cites Progressive preference articulation for decision making in multi-objective optimisation problems.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Progressive preference articulation for decision making in multi-objective optimisation problems

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.885116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 50979ec5-bb86-446d-8509-9ee12554966d · outbound

This paper cites Conditioning of quasi-Newton methods for function minimization.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Conditioning of quasi-Newton methods for function minimization

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.873026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 36c9234b-350e-4d9d-bac1-5d3e470348f3 · outbound

This paper cites Evolutionary optimization algorithms.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Evolutionary optimization algorithms

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.861196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0477db1d-9aa6-48fb-9aab-9fae85efafd4 · outbound

This paper cites Applications and developments of thermal spray coatings for the iron and steel industry.Materials, 16(2):516, 2023.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Applications and developments of thermal spray coatings for the iron and steel industry.Materials, 16(2):516, 2023

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.849135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d29776cd-26bd-46a9-b370-d15f3bc209cb · outbound

This paper cites Muiltiobjective optimization using nondominated sort- ing in genetic algorithms.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Muiltiobjective optimization using nondominated sort- ing in genetic algorithms

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.836793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 409dda45-991f-4cac-a724-3b390d8a4a16 · outbound

This paper cites Desirability-based multi-criteria opti- mization of HVOF spray experiments to manufacture fine structured wear-resistant 75Cr3C2-25 (NiCr20) coatings.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Desirability-based multi-criteria opti- mization of HVOF spray experiments to manufacture fine structured wear-resistant 75Cr3C2-25 (NiCr20) coatings

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.824088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cda0c2a2-007d-4b13-bac5-8747878f8bf2 · outbound

This paper cites Statistical Comparison of Processing Different Powder Feedstock in an HVOF Thermal Spray Process.Journal of Thermal Spray Technology, 31(5):1476– 1489, 2022.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Statistical Comparison of Processing Different Powder Feedstock in an HVOF Thermal Spray Process.Journal of Thermal Spray Technology, 31(5):1476– 1489, 2022

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.811347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 79e61db5-f0b9-4c93-955e-58cffd49b40d · outbound

This paper cites nsga2R: Elitist Non-Dominated Sorting Genetic Algorithm , 2022.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization nsga2R: Elitist Non-Dominated Sorting Genetic Algorithm , 2022

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.799081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 88455257-c036-4c10-bd8f-4576e2f9a585 · outbound

This paper cites Thermal effects of phase transformations: A review.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Thermal effects of phase transformations: A review

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.786195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b59920f-98ac-4af1-9f94-cbdba15fdb00 · outbound

This paper cites A guiding framework for process parameter optimisation of thermal spraying.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization A guiding framework for process parameter optimisation of thermal spraying

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.772655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f213aca9-31d8-4253-80a6-397fa85933be · outbound

This paper cites A comprehensive review on NSGA-II for multi- objective combinatorial optimization problems.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization A comprehensive review on NSGA-II for multi- objective combinatorial optimization problems

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.759695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4ca515f9-7f1c-46ea-991b-e613d24a48ea · outbound

This paper cites an unresolved cited work.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:23:01.746622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 327b33c0-e665-4cc5-9a5c-f4bbb155587c · outbound

This paper cites an unresolved cited work.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:23:01.733632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 233eb913-6808-46e6-84d8-f7feeb09f013 · outbound

This paper cites These coefficients, found in [56], represent the contribution of each process parameter (PFR, SOD, λ, CV, TGF) to the respective HVOF coating properties.

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization These coefficients, found in [56], represent the contribution of each process parameter (PFR, SOD, λ, CV, TGF) to the respective HVOF coating properties

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:23:01.720413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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