Vol. 1 (2026): Archive

Published: 2026-10-29

Systems Review

Transactional Semantics for Compound Operations in Distributed Storage

Michael Johnson (Author)
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Review

Energy-Proportional Scheduling for Cloud and Edge Infrastructure

David Miller (Author)
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Resilience Patterns for Data-Intensive Scientific Workflows

John Thompson (Author)
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Methods Review

Reproducible Performance Engineering for Heterogeneous Accelerators

James Anderson (Author)
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Systems Perspective

Zero-Trust Service Identity in Cloud-Native Infrastructure

Robert Wilson (Author)
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Review Article

Between Lines of Code - Unraveling the Distinct Patterns of Machine and Human Programmers: Provenance, Traceability, and Auditability

Elliott Morrison, Felix Larson, Graham Palmer (Author)
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From Code to Correctness - Closing the Last Mile of Code Generation with Hierarchical Debugging: Failure Modes and Error Containment

Heath Bishop, Ivan Chapman, Jake Bradley (Author)
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Between Lines of Code - Unraveling the Distinct Patterns of Machine and Human Programmers: Resource Efficiency and Performance Trade-offs

Kent Reynolds, Lance Henderson, Mitchell Stewart (Author)
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Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Provenance, Traceability, and Auditability

Brooks Richardson, Clayton Clark, Dawson Reed (Author)
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Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Failure Modes and Error Containment

Emmett Spencer, Finn Bailey, Grayson Watson (Author)
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Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Resource Efficiency and Performance Trade-offs

Holden Sanders, Jared Powell, Kieran Hughes (Author)
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Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Interface Design and Evidence Communication

Preston Palmer, Reid Hayes, Sawyer Chapman (Author)
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Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Attributing Performance to Model Components

Spencer Marshall, Tanner Griffin, Troy Barnes (Author)
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Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Robustness Under Distribution Shift

Wade Hamilton, Wyatt Porter, Alec Freeman (Author)
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Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Deployment and Systems Integration

Brett Ellis, Bryce Bryant, Carson Woods (Author)
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Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Uncertainty and Sensitivity Analysis

Chase Mason, Dalton Warren, Drew Butler (Author)
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Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Reproducibility and Reporting Standards

Elliott Gibson, Felix Webb, Graham Patterson (Author)
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Research Article

Guarantee Circle Risk Mining for Industrial Enterprises Based on Graph Neural Reasoning

Lukas Bauer, Anna Weber (Author)
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