3 papers
cs.OS2026
Elastic Gang: Per-Token Membership Change for a Hard-Barriered LLM Inference Gang Co-Scheduled with OS Processes
Daeyeon Son
On-device LLM decoding is a hard-barriered CPU-SIMD computation that wants every core for milliseconds per token, while the rest of the OS wants those same cores continuously. A ba…
cs.CR2026
Governed MCP: Kernel-Level Tool Governance for AI Agents via Logit-Based Safety Primitives
Daeyeon Son
AI agents increasingly call external tools (file system, network, APIs) through the Model Context Protocol (MCP). These tool calls are the agent's syscalls: privileged operations w…
cs.OS2026
ProbeLogits: Kernel-Level LLM Inference Primitives for AI-Native Operating Systems
Daeyeon Son
An OS kernel that runs LLM inference internally can read the model's own next-token logit distribution before any text is generated, and act on it as a governance primitive. I pres…