{
  "id": 19036,
  "url": "https://arxiv.org/abs/2608.12123v1",
  "title": "Ready Cohorts: Bounding GPU Opportunity and Avoiding Host Round Trips in LLM-Agent Control",
  "summary": "LLM-agent services repeatedly execute small deterministic transitions between model and tool calls: route an outcome, update state, and emit the next effect. We ask when this control path exposes enough concurrent work for GPU execution, and what changes when a GPU-computed route decision remains on device. We formalize the ready-cohort boundary using fixed-partition share F, exact offline share P*, local upper bound U, and online achieved share A. Under zero service time, unlimited capacity, an",
  "authors": "Josef Liyanjun Chen",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-12T14:42:15.000Z",
  "fetched_at": "2026-08-13T05:10:37.786Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/19036",
  "original_url": "https://arxiv.org/abs/2608.12123v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}