A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery
The rapid expansion of capabilities in Large Language Model (LLM) agents has exposed a critical architectural bottleneck: when agents are given access to a flat, monolithic registry of tools, the model must evaluate hundreds or thousands of options simultaneously. This leads to decision-space explosion, context window saturation, and degraded routing accuracy. To address these limitations, this paper presents a hierarchical, skill-based architecture for agentic orchestration. Capabilities are or
Record details
Published: 13 July 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (13 July 2026), “A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery,” evidence record 20, https://ethics.ai/record/20 (originally published by arXiv).
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