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Title: GRAIL: A Deep-Granularity Hybrid Resonance Framework for Real-Time Agent Discovery via SLM-Enhanced Indexing
Source: http://arxiv.org/abs/2605.02489v1
Summary:
GRAIL introduces a novel SLM-enhanced indexing and resonance framework that solves the foundational scaling bottleneck of agent discovery in large-scale ecosystems. By achieving a 79x reduction in latency, it provides a critical architectural primitive for enabling a real-time 'Internet of Agents.'
By Yun WuTitle: GRAIL: A Deep-Granularity Hybrid Resonance Framework for Real-Time Agent Discovery via SLM-Enhanced Indexing
Source: http://arxiv.org/abs/2605.02489v1
Summary:
GRAIL introduces a novel SLM-enhanced indexing and resonance framework that solves the foundational scaling bottleneck of agent discovery in large-scale ecosystems. By achieving a 79x reduction in latency, it provides a critical architectural primitive for enabling a real-time 'Internet of Agents.'