Paper

A Policy-Driven Runtime Layer for Agentic LLM Serving

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arXiv:2605. 27744v1 Announce Type: new Abstract: Multi-agent LLM systems have become the dominant production workload, but the serving stack was not built for them.

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Authors: Rui Zhang, Chaeeun Kim, Liting Hu
Released: 2026-05-28 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because A Policy-Driven Runtime Layer for Agentic LLM Serving overlaps with clean result "Only continuous soft prefixes hit both EM axes at once on Qwen-2.5-7B-Instruct: discrete prompt searches split between the alignment objective and the distributional objective, and both discretizations of the soft prefix collapse (MODERATE confidence)", clean result "The marker is a representational handle, not a behavioural one — sharing it between a villain persona and the assistant transfers no misalignment (HIGH confidence)", experiment "Add C2 control arm (donor sees marker_B without marker_A) to disambiguate paired-marker binding from marker_B leaking alone". Matching terms: prefix, line, rate, sees, never. Source: arxiv cs.AI (Artificial Intelligence).
arXiv: 2605.27744

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