Vol. 1 (2026): Archive

Published: 2026-10-29

Research Article

Export Order Financing Risk Prediction Using Cross-Border Trade Knowledge Graphs

Michael Anderson, Emily Carter, Daniel Wilson (Author)
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Knowledge-Guided Graph Reasoning for Early Warning of Credit Deterioration in Manufacturing Enterprises

James Carter, Emily Thompson, Oliver Bennett (Author)
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Review

Continual Learning under Open-World Distribution Shift

Adam Campbell (Author)
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Safe Exploration in Embodied Reinforcement Learning

Aaron Phillips (Author)
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Neuro-Symbolic Adaptation for Autonomous Systems

Alex Morgan (Author)
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Coordination and Robustness in Multi-Agent Learning

Brandon Evans (Author)
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Uncertainty-Aware Transfer for Real-World Robotics

Bradley Cooper (Author)
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Review Article

Coupled Transformer Autoencoder for Disentangling Multi-Region Neural Latent Dynamics: Causal Claims and Confounding

Elliot Donovan, Finn Ferguson, Reid Martin (Author)
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Enhancing Multi-Modal Relation Extraction with Reinforcement Learning Guided Graph Diffusion Framework: Open Science and Comparative Benchmarking

Patrick Schmidt, Jeremy Phillips, Bryce Lane (Author)
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Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Robustness Under Distribution Shift

Seth Horton, Benjamin Wagner, Wayne Burke (Author)
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Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Deployment and Systems Integration

Luke Wells, Heath Spencer, Holden Olsen (Author)
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Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Uncertainty and Sensitivity Analysis

Graham Marshall, Grayson Bowen, Grayson Sanders (Author)
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Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Reproducibility and Reporting Standards

Felix Bennett, Raymond Newman, Benjamin Crawford (Author)
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Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Monitoring Performance and Model Drift

Connor Cross, Lawrence Harris, Troy Vaughn (Author)
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Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Risk Stratification and Threshold Selection

Parker Horton, Walter Weber, Ian Norton (Author)
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Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Scalability and Operational Maintainability

Samuel Edwards, Gary Conrad, Emmett Hudson (Author)
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Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Evaluation Design and Construct Validity

Nathan Klein, Sawyer Snyder, George Spencer (Author)
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Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Human Oversight and Decision Accountability

Bryan Richardson, Reed Spencer, Matthew Fleming (Author)
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Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: From Benchmark Results to External Validity

Jeffrey Grant, Vincent Warren, Dennis Stone (Author)
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Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Causal Claims and Confounding

Hayden Schmidt, Richard Schaefer, Stuart Pearson (Author)
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Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Adaptation and Calibration Across Domains

Graham Douglas, Kenneth Woods, Jordan Franklin (Author)
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Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Multimodal Alignment and Information Fusion

Carson Turner, Patrick Edwards, Sean Sullivan (Author)
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Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Open Science and Comparative Benchmarking

Trent Carter, George Palmer, Graham Grant (Author)
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Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Provenance, Traceability, and Auditability

Jordan Matthews, Joel Vaughn, Cameron Edwards (Author)
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Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Failure Modes and Error Containment

Bryan Weber, Grayson Beckett, Kieran Vance (Author)
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Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Resource Efficiency and Performance Trade-offs

Dawson Davidson, Andrew Chandler, Owen Gibson (Author)
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Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Interface Design and Evidence Communication

Grant Wallace, Frederick Bowen, Stephen Brennan (Author)
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Robustness of Fine-Tuned Llms Under Noisy Retrieval Inputs: Attributing Performance to Model Components

Travis Tucker, Ethan Jenkins, Austin Sullivan (Author)
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Critical Roles of Chalcogenide Anion on Strengthening Stability of Ni 2 Mo 6 Te 8 for Almost Exclusive Electrocatalysts Nitrate to Ammonia Conversion: Multimodal Alignment and Information Fusion

Trevor Sutton, Ethan Norton, Lawrence Collins (Author)
Study on the Correlation Between Manufacturing Variability and Electrochemical Stability in Large-Scale Lithium-Ion Battery Production: Multimodal Alignment and Information Fusion

Spencer Gardner, Wesley Schaefer, Jared Holland (Author)
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Simulations of Tapered Channel in Multilayer Graphene as Reverse Osmosis Membrane for Desalination: Multimodal Alignment and Information Fusion

Lucas Wagner, Seth Johnston, Nolan Page (Author)
PhysEditWorld - A Large-Scale Dataset Toward Physics-Editable World Models: Provenance, Traceability, and Auditability

Simon Powell, Felix Foster, Darren Olsen (Author)
PhysEditWorld - A Large-Scale Dataset Toward Physics-Editable World Models: Attributing Performance to Model Components

Eric Curtis, Martin Bowen, Carl Baldwin (Author)
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Hyperspectral Images Efficient Spatial and Spectral non-Linear Model with Bidirectional Feature Learning: Uncertainty and Sensitivity Analysis

Luke Miller, Carl Nichols, Reed Douglas (Author)
Hyperspectral Images Efficient Spatial and Spectral non-Linear Model with Bidirectional Feature Learning: Scalability and Operational Maintainability

Heath Olsen, Trent Marshall, Brandon Wagner (Author)
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Hierarchical Spatial Mamba Framework for Point Cloud Classification: From Benchmark Results to External Validity

Carl Bennett, Daniel Kelley, Chase Conrad (Author)
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Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Multimodal Alignment and Information Fusion

Cody Chapman, Kyle Dawson, Bradley Jenkins (Author)
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