Vol. 4 No. 3 (2026)

Published July 2, 2026
Special Issue 2026 07

Special Issue 2026 07

Articles

Zunduo Z (Author)
Quantifying and Narrowing the Knowledge-Practice Gap in Medical Large Language Models
Gary Bennett, Terry Parker, Scott Foster (Author)
Operational Questions for Policy-Gradient Control: Control Randomisation versus Reproducible Evaluation
Mark Wallace, Paul Morgan, Stephen Turner (Author)
Operational Questions for Reliability and Rater Agreement: Effect-Size Interpretation versus Audit-Ready Scoring
Colin Lane, Nathan Hayes, Dalton Newman (Author)
Stress-testing hierarchical spatial aggregation for three-dimensional perception under 45% point-cloud sparsity: a blocked comparison
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Timothy Collins, Ronald Walker, Albert Carter (Author)
Operational Questions for Vision-in-the-Loop Search: Content-Based Retrieval versus Evaluation Protocols
Jeremy Mitchell, Hunter Hayes, Mitchell Bowen (Author)
Auditing retrieval self-check for retrieval-augmented answering under 9% distractor density: a blocked comparison
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Eugene Mitchell, Ralph Sullivan, Louis Campbell (Author)
A Research Agenda for Policy-Gradient Control Built around Trust-Region Behavior, Rollback Mechanisms, and Continuous-Time Control
Logan Cross, Bryce Graham, Kieran Myers (Author)
Tuning dependency-aware scoring for microservice anomaly detection under 16% telemetry delay: a blocked comparison
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James Walker, Nathan Brooks, Jason Mitchell (Author)
Communication-Aware Memory and Semantic Compression for Collaborative Autonomous Perception
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Frederick Hayes, Victor Coleman, Vincent Richardson (Author)
A Research Agenda for Reliability and Rater Agreement Built around Performance Assessment, Judge-Quality Estimation, and Automated Scoring
Damian Harrison, Bryce Murphy, Chase Peterson (Author)
A Research Agenda for Vision-in-the-Loop Search Built around Active Visual Search, Long-Horizon Planning, and Semantic Image Search
Garrett Butler, Corey Griffin, Nicholas Bishop (Author)
Measuring condition-normalized ranking for electrocatalytic screening under 30% current-density variation: a sensitivity sweep
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Craig Walsh, Bryce Larson, Paul Whitaker (Author)
Stabilizing transport-aware tuning for membrane desalination under 37% salinity gradient: a sensitivity sweep
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Dalton Griffin, Drew Powell, Elliott Edwards (Author)
Rethinking Evaluation in Policy-Gradient Control through Optimization Dynamics and Policy Ensembles
Felix Sanders, Graham Hughes, Heath Fisher (Author)
Rethinking Evaluation in Reliability and Rater Agreement through Bias Diagnosis and Constructed Responses
Zachary Powell, Samuel Fisher, Eric Wallace (Author)
From Code Completion to Correct Programs: Human-Machine Differences and Hierarchical Debugging
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Landon Stevens, Sawyer Mercer, Keith Cunningham (Author)
Calibrating adaptive feature compression for edge vehicle perception under 8% bandwidth loss: a sensitivity sweep
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Cole Matthews, Brandon Bryant, Trent Donahue (Author)
Auditing retrieval self-check for retrieval-augmented answering under 22% distractor density: a sensitivity sweep
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Martin Lewis, Wesley Hamilton, Jack Woods (Author)
Tuning hierarchical spatial aggregation for three-dimensional perception under 29% point-cloud sparsity: a sensitivity sweep
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Hayden Newton, Elliot Gardner, Graham Hamilton (Author)
Measuring prevalence recalibration for clinical risk prediction under 43% prevalence shift: a factor ablation
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Aaron Armstrong, Neil Newman, Kieran Whitaker (Author)
Stabilizing condition-normalized ranking for electrocatalytic screening under 50% current-density variation: a factor ablation
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Derek Nelson, Andrew Powell, Robert Hart (Author)
Calibrating dose-response control for photo-Fenton degradation under 21% oxidant variability: a factor ablation
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Corey Allen, Dominic Mitchell, Peter Jordan (Author)
Stress-testing robust process centering for battery quality control under 28% batch variability: a factor ablation
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Ross Patterson, Chase Johnston, Shane Stevenson (Author)
Auditing retrieval self-check for retrieval-augmented answering under 35% distractor density: a factor ablation
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Louis Cooper, Jesse Donahue, Travis Webb (Author)
Probing dependency-aware restoration for network recovery under 49% node-loss fraction: a threshold audit
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Adrian Wheeler, Ethan Pierce, Ryan Riley (Author)
Stabilizing dependency-aware scoring for microservice anomaly detection under 20% telemetry delay: a threshold audit
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Lucas Zimmerman, Holden Campbell, Dylan Turner (Author)
Testing bidirectional feature fusion for hyperspectral classification under 27% band corruption: a threshold audit
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Dennis Newman, Jeffrey Ferguson, Cole Woods (Author)
Stress-testing condition-normalized ranking for electrocatalytic screening under 41% current-density variation: a threshold audit
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Warren Hamilton, Corey McCarthy, Hunter Simmons (Author)
Auditing transport-aware tuning for membrane desalination under 48% salinity gradient: a error-stratified estimate
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Ivan Johnston, Walter Stevenson, Malcolm Ferguson (Author)
Tuning retrieval self-check for retrieval-augmented answering under 12% distractor density: a error-stratified estimate
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Bruce Edwards, Philip Sanders, Dennis Hughes (Author)
Execution-Grounded Reinforcement Learning for Automated Program Repair
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Jake Montgomery, Kent Hudson, Lance Wheeler (Author)
Cloud-Assisted Multimodal Encoding for Bandwidth-Constrained V2X Inference
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Alec Phillips, Brett Warren, Clayton Gibson (Author)
Evidence Alignment and Transfer Boundaries in Ai Server Test Automation And Evolutionary Test Optimization
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Dawson Webb, Finn Matthews, Grayson Porter (Author)
Reframing Ai Server Test Automation And Evolutionary Test Optimization: Measurement Chains and Validation Design
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Preston Butler, Russell Palmer, Trent Gardner (Author)
From Mechanism to Decision in Ai Server Test Automation And Evolutionary Test Optimization: Cross-Scale Reasoning and Reproducibility
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Warren Foster, Zachary Meyer, Abram Nichols (Author)
A Boundary-Aware Synthesis of Ai Server Test Automation And Evolutionary Test Optimization: Robust Evaluation under Distribution Shift
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Mitchell Norton, Spencer Hart, Tanner Olsen (Author)
Toward Credible Ai Server Test Automation And Evolutionary Test Optimization: Data Quality, Calibration, and External Validity
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Troy Walsh, Wade Meyer, Wyatt Becker (Author)
Integrating Test Orchestration and Telemetry in Ai Server Test Automation And Evolutionary Test Optimization: Design Trade-offs and Operational Evidence
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Carson Vance, Chase Arnold, Dalton Weber (Author)
Assessing Transfer in Ai Server Test Automation And Evolutionary Test Optimization: Transparent Baselines and Failure Analysis
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Finn Walsh, Grayson McCarthy, Holden Becker (Author)
Reframing Ai Server Stress Testing And Ai Server Test Automation: Measurement Chains and Validation Design
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Miles Mercer, Nolan Fowler, Preston Conrad (Author)
Ai Server Stress Testing And Ai Server Test Automation beyond Nominal Performance: Mechanisms, Uncertainty, and Deployment
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Tanner Duncan, Troy Nichols, Wade Fuller (Author)
From Mechanism to Decision in Ai Server Stress Testing And Ai Server Test Automation: Cross-Scale Reasoning and Reproducibility
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Bryce Norton, Carson Hart, Chase Walsh (Author)
A Boundary-Aware Synthesis of Ai Server Stress Testing And Ai Server Test Automation: Robust Evaluation under Distribution Shift
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Lance Fuller, Mitchell Hart, Parker Nichols (Author)
Comparative Evidence for Ai Server Stress Testing And Ai Server Test Automation: Comparative Methods and Boundary Conditions
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Andrew Porter, Matthew Ellis, James Bryant (Author)
Evidence Alignment and Transfer Boundaries in Automated Program Repair And Reinforcement Learning For Software Reasoning
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Justin Vaughn, Brian Snyder, Nicholas Stone (Author)
Reliability across Models, Materials, and Contexts in Ai Server Stress Testing And Ai Server Test Automation
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Evan Mills, Thomas Norton, Zachary Hart (Author)
Reframing Automated Program Repair And Reinforcement Learning For Software Reasoning: Measurement Chains and Validation Design
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Benjamin Tucker, Trevor Bowen, Gregory Porter (Author)
Automated Program Repair And Reinforcement Learning For Software Reasoning beyond Nominal Performance: Mechanisms, Uncertainty, and Deployment
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Bradley Vaughn, Joseph Walsh, Hunter McCarthy (Author)
Ai Server Stress Testing And Ai Server Test Automation beyond Nominal Performance: Mechanistic Interpretation and Practical Transfer
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Nolan Walsh, Christian Meyer, Jared Tucker (Author)
From Mechanism to Decision in Ai Server Stress Testing And Ai Server Test Automation: Sensitivity Analysis for Credible Translation
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Martin Mercer, Carl Benson, Roger Norton (Author)
A Boundary-Aware Synthesis of Ai Server Stress Testing And Ai Server Test Automation: Benchmark Design and Real-World Applicability
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Albert Walsh, Raymond Hart, Louis Snyder (Author)
Automated Program Repair And Reinforcement Learning For Software Reasoning under Changing Conditions: From Local Mechanisms to System Decisions
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Kent Snyder, Lance Fowler, Miles Mercer (Author)
Reframing Llm Social Agents And Automated Program Repair: Measurement Chains and Validation Design
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Troy Hart, Wade Snyder, Alec Fowler (Author)
Comparative Evidence for Ai Server Stress Testing And Ai Server Test Automation: Heterogeneity, Generalization, and Governance
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Russell Norton, Trent Walsh, Warren Hart (Author)
Llm Social Agents And Automated Program Repair beyond Nominal Performance: Mechanisms, Uncertainty, and Deployment
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Grayson Snyder, Holden Fowler, Jared Mercer (Author)
From Mechanism to Decision in Evolutionary Test Optimization And Ai Server Test Automation: Sensitivity Analysis for Credible Translation
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Felix Benson, Graham Norton, Heath Walsh (Author)
Assessing Transfer in Ai Server Stress Testing And Ai Server Test Automation: Perturbation Testing and Decision Relevance
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Spencer Walsh, Tanner Hart, Troy Snyder (Author)
Comparative Evidence for Evolutionary Test Optimization And Ai Server Test Automation: Heterogeneity, Generalization, and Governance
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Wade Fowler, Wyatt Mercer, Alec Benson (Author)
Reliable Ai Server Stress Testing And Ai Server Test Automation: Integrated Evidence for Reliable Deployment
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Parker Walsh, Reed Hart, Russell Snyder (Author)
Evidence Alignment and Transfer Boundaries in Llm Social Agents And Resource-Efficient V2X Perception
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Kieran Hart, Landon Snyder, Miles Fowler (Author)
Toward Credible Evolutionary Test Optimization And Ai Server Test Automation: Operating Envelopes and Responsible Scale-Up
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Nolan Mercer, Preston Benson, Reid Norton (Author)
Evidence Alignment and Transfer Boundaries in Ai Server Stress Testing And Evolutionary Test Optimization
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Mitchell Walsh, Parker Hart, Reed Snyder (Author)
Evidence Alignment and Transfer Boundaries in Ai-Assisted Programming
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Clayton Snyder, Dawson Fowler, Emmett Mercer (Author)
Evidence Alignment and Transfer Boundaries in Resource-Efficient V2X Perception And Reinforcement Learning For Software Reasoning
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Finn Benson, Grayson Norton, Holden Walsh (Author)
Reframing Latent Policy Optimization And Automated Program Repair: Measurement Chains and Validation Design
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Holden Hart, Jared Snyder, Kieran Fowler (Author)
Ai Server Stress Testing And Evolutionary Test Optimization beyond Nominal Performance: Mechanisms, Uncertainty, and Deployment
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Landon Mercer, Miles Benson, Nolan Norton (Author)
Comparative Evidence for Reinforcement Learning For Software Reasoning And Automated Program Repair: Comparative Methods and Boundary Conditions
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Chase Benson, Dalton Norton, Drew Walsh (Author)
Evidence Alignment and Transfer Boundaries in Network Resilience And Smart-Grid Restoration
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Trent Norton, Warren Walsh, Zach Hart (Author)
Reframing Ai-Assisted Programming: Measurement Chains and Validation Design
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Troy Norton, Wade Walsh, Wyatt Hart (Author)
From Mechanism to Decision in Ai Server Stress Testing And Evolutionary Test Optimization: Cross-Scale Reasoning and Reproducibility
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