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Decoupling Readiness from Release for Tail-Aware Scheduling of Agentic LLM Workflows
Researchers propose a new scheduling method for agentic LLM workflows that delays the release of ready turns to reduce tail latency under system contention, improving P95 flow time by up to 3.5× compared to standard eager-release policies.
Sep 12, 2026
Behavioral Controllability of Agentic Models for Information Extraction: From Fixed Workflows to Reflective Agents
A new arXiv preprint investigates whether reflective LLM agents improve controllability and observable behavior over fixed workflows in scholarly dataset extraction, using process-level metrics rather than just accuracy.
Jul 20, 2026
PatchOptic for Shared-State LLM Workflows with Projected Views and Verified Structured Updates
PatchOptic is a new interface for LLM agentic workflows that enforces structured, verified updates to shared state using projected views and patch contracts — addressing the gap between local model edits and global state consistency.
Jul 9, 2026