Generalization of ArachNet to New Domains and LLM Architectures

Determine how the ArachNet multi-agent measurement workflow composition approach generalizes to measurement domains beyond Internet measurement and to alternative large language model architectures, and identify the adaptation requirements necessary for such generalization.

Background

ArachNet is introduced as a multi-agent system that automates expert-style composition of Internet measurement workflows using a curated registry of tool capabilities. The paper evaluates ArachNet primarily within Internet resilience scenarios, demonstrating expert-level reasoning and multi-framework orchestration.

The authors explicitly raise the question of whether the same agentic reasoning patterns and registry-driven composition can be transferred to other measurement domains (e.g., application performance analysis, security monitoring, network operations) or to different LLM architectures, noting that systematic investigation is needed to understand adaptation requirements and reduce domain-specific prompt engineering.