May 15, 2026
Monitoring Data-aware Temporal Properties (Extended Version)
Monitoring Data-aware Temporal Properties (Extended Version) addresses the challenge of verifying complex, "black-box" AI systems—such as autonomous agents o...
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AI Research Papers
Understand new AI research with readable explanations and links to the original papers.
May 15, 2026
GraphFlow: An Architecture for Formally Verifiable Visual Workflows Enabling Reliable Agentic AI Automation
GraphFlow: An Architecture for Formally Verifiable Visual Workflows Enabling Reliable Agentic AI Automation GraphFlow is a visual workflow system designed to...
May 15, 2026
MediaClaw: Multimodal Intelligent-Agent Platform Technical Report
MediaClaw: Multimodal Intelligent-Agent Platform Technical Report introduces a new platform designed to simplify how businesses integrate and use Artificial...
May 15, 2026
Identifying Culprits Through Deep Deterministic Policy Gradient Deep Learning Investigation
Identifying Culprits Through Deep Deterministic Policy Gradient Deep Learning Investigation This research addresses the challenges inherent in modern crimina...
May 15, 2026
How Sensitive Are Radiomic AI Models to Acquisition Parameters?
How Sensitive Are Radiomic AI Models to Acquisition Parameters? Artificial intelligence models used for medical imaging, such as those that detect lung cance...
May 15, 2026
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Large Language Models (LLMs) are powerful reasoning tools, but...
May 15, 2026
APWA: A Distributed Architecture for Parallelizable Agentic Workflows
The Agent-Parallel Workload Architecture (APWA) is a distributed system designed to overcome the scaling bottlenecks that currently limit autonomous multi-ag...
May 15, 2026
Holistic Evaluation and Failure Diagnosis of AI Agents
Holistic Evaluation and Failure Diagnosis of AI Agents AI agents are increasingly used for complex, multi-step tasks, but current methods for evaluating them...
May 15, 2026
Emotion-Attended Stateful Memory (EASM):The Architecture for Hyper-Personalization at Scale
Emotion-Attended Stateful Memory (EASM): The Architecture for Hyper-Personalization at Scale Current AI language models are fundamentally "stateless," meanin...
May 14, 2026
Harnessing Agentic Evolution
Harnessing Agentic Evolution introduces a new framework called AEvo designed to make the process of "agentic evolution"—where AI agents iteratively improve p...
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