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Amirkia Rafiei Oskooei

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Visualizing Deep Agents in Long-Horizon Tasks: Towards Explainable and Trustworthy Agentic AI

A general-purpose observability framework that decomposes agent execution into four distinct visualization dimensions: Temporal, Cognitive, Hierarchical, and Spatial is proposed that reduces the Time-to-Insight (TTI) for complex behavioral analysis by 56% and significantly lowers cognitive load (NASA-TLX) compared to state-of-the-art linear traces.

Amirkia Rafiei Oskooei, Mehmet S. Aktas · 0 citations
Preprint Aug 2026

Deep Agentic Search for Repository-Level Code Question Answering: An Empirical Study

The results show that the protection deep agentic search offers may not be free, and that for read-only questions over a repository that can be indexed, retrieval was the stronger and cheaper option.

Amirkia Rafiei Oskooei, Bora Ilci, Alperen Kayim et al. · 0 citations

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