Vol. 1 (2026): Archive

Published: 2026-10-29

Systems Review

Memory Disaggregation for AI Infrastructure

Cameron Reed (Author)
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Review

Compiler Optimization for Heterogeneous Computing

Christian Murphy (Author)
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Vector Databases for Retrieval-Augmented Generation

Connor Bailey (Author)
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Reproducible Benchmarking of Machine-Learning Systems

Corey Richardson (Author)
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Resilient Data Pipelines for Scientific Computing

Dylan Howard (Author)
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Review Article

From Code to Correctness - Closing the Last Mile of Code Generation with Hierarchical Debugging: Evaluation Design and Construct Validity

Michael Fischer, Roger Hughes, Dominic Patterson (Author)
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Between Lines of Code - Unraveling the Distinct Patterns of Machine and Human Programmers: Human Oversight and Decision Accountability

Gregory Grant, Carson Harrison, Bryan Mercer (Author)
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From Code to Correctness - Closing the Last Mile of Code Generation with Hierarchical Debugging: From Benchmark Results to External Validity

Hayden Tucker, Spencer Snyder, Finn Crawford (Author)
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Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Evaluation Design and Construct Validity

Dominic Robertson, Oscar Watson, Graham Pearson (Author)
Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Human Oversight and Decision Accountability

Reid Dawson, Stephen Bishop, Seth Fischer (Author)
Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: From Benchmark Results to External Validity

Joel Curtis, Michael Sullivan, Dalton Wagner (Author)
Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Causal Claims and Confounding

Ralph Walker, Brian Campbell, Darren Ferguson (Author)
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Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Adaptation and Calibration Across Domains

Reid Collins, Kent Wheeler, Landon Schmidt (Author)
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Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Open Science and Comparative Benchmarking

Ian Jordan, Carson Scott, Clayton Arnold (Author)
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Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Provenance, Traceability, and Auditability

Blake Cooper, Mitchell Vaughn, Cameron Duncan (Author)
Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Failure Modes and Error Containment

Shane Meyer, Dylan Bryant, Clark Campbell (Author)
Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Resource Efficiency and Performance Trade-offs

Jared Bishop, Simon Riley, Noah Conrad (Author)