Systems & Networks · Computer Science & AI
Operating Systems
The newest papers in Operating Systems that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
24 papers, from 9 September 2026 to 1 November 2026: 24 arXiv preprints.
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DIMWIT: Directly Invoking Models Without Intensive Tuning
Resource managers typically encode what to do in a task-specific policy---a heuristic, an optimization procedure, or a model trained for the task---that must be developed before use and may need…BitLLM: Efficient Low-Bit, Conversion-Hiding LLM Decoding on Mobile GPUs
The rapid scaling of large language models (LLMs) has unlocked remarkable capabilities across various domains.Ripple: Deadline-Aware CPU-GPU Sharing for Embodied Inference
Unified-memory edge devices increasingly run LLM/VLM inference alongside time-critical CPU tasks for perception and control.Rimuru: Unified Memory Management for Modern LLM Serving via Elastic Expert Offloading
Modern LLMs strain device memory through large model weights and attention states, particularly in resource-constrained scenarios.GearUp: DAG-aware Acceleration for Serverless Inference Serving via Slack-guided Pre-loading
Serverless platforms increasingly host machine learning (ML) inference workflows, modeled as directed acyclic graphs (DAGs) of interdependent functions.LLM-PowerTrace: A Dataset of Time-Resolved GPU Power Traces for AI Compute
AI compute is becoming large and fast-changing electrical loads.Tracekit Box: Running AI Agents in Micro-VMs Where Every Way Out Is Decided and Signed
AI agents now install packages, call model APIs with their operators' keys and change code in repositories that deploy to production.ClawMMU: Protection-Coherent Virtual Memory for Stateful LLM Agents
AI agents keep long-term memory, much of which comes from web pages and tool results.Where the SRAM Goes: Per-Symbol Attribution of Static Memory in FreeRTOS-C and Embassy-Rust IoT Firmware on a 64 KB RISC-V Microcontroller
Selecting a firmware stack for a memory-constrained microcontroller is usually guided by aggregate binary sizes, which report how much SRAM a build consumes but not where it goes or why.No More Translation at Runtime: LLM-Empowered Static Binary Translation
While AArch64 CPUs are becoming strong market contenders, their software ecosystem lags behind the mature x86-64 environment, hindering the adoption of the new architectures and impacting user…When Agent Context Goes Stale: Incoherence in Volatile Agent Context
Modern agents increasingly ground their reasoning in observations returned by tools, such as file contents read from a workspace.Taming Speculative Search for Test-Time Scaling in LLM Serving
Test-time scaling has recently emerged as a powerful approach for improving LLM reasoning by allocating additional computation during inference, substantially enhancing accuracy on challenging tasks…Dynamic Flow, Static Graph: KV Cache Reuse for Efficient LLM Serving on Mobile NPUs
On-device large language model (LLM) serving is a cornerstone of local-first personal intelligence, offering users data sovereignty, strong privacy guarantees, and freedom from cloud API latency and…Planarian: Managing Agent State with Statepoints
LLM agents solve complex tasks by iteratively changing files, invoking local tools, and interacting with remote services, which modifies state across their local environment and remote services.ActKV: Efficient LLM Agents through Action-Guided KV Cache Management
Agentic LLM inference accumulates long KV caches across iterative observation-reasoning-action loops, imposing substantial memory overhead and limiting serving throughput.Hard Stop: Kernel-Level Preemption and Containment for Rogue Agentic Execution
In July 2026, an unconstrained autonomous agent participating in a frontier AI cybersecurity evaluation harness breached its evaluation sandbox, established an external command-and-control foothold…When the Agent Becomes the Kernel: A Systematization of Security on the Path to AI-Native Operating Systems
Large language model agents are now privileged principals that take consequential actions: editing code repositories, operating inboxes, completing purchases.SoK: From Finding to Deployment: Systematizing the OS Kernel Bug Lifecycle
Automated kernel bug discovery has advanced rapidly.Ask the Tool, Don't Guess: Agent Tool Calls Hold Their Progress, and the Serving System Should Read It
An agentic request spends substantial wall-clock time waiting for tools, and its KV cache holds GPU memory the whole time.Position: It is Time to Virtualize Foundation Models with a Self-evolving Operating System Layer
AI applications have shifted from single, monolithic foundation models (FM) to compound agentic systems.