Operationalizing Reconstructive Authority: Runtime Construction, Dependency Reso

arXiv:2604.05229v1 Announce Type: new Abstract: Agentic AI systems plan, use tools, maintain state, and produce multi-step trajectories with external effects. Those properties

arXiv:2606.22504v1 Announce Type: cross Abstract: Coding agents often receive broad tool access for an entire task, even when a resource is needed only for one subgoal. We call

arXiv:2605.20173v1 Announce Type: new Abstract: Production LLM agents combine stochastic model outputs with deterministic software systems, yet the boundary between the two is

arXiv:2607.21659v1 Announce Type: new Abstract: AI has begun to write systems code: agents now synthesize, verify, and deploy system components. Despite this shift, "AI-native"

arXiv:2609.06036v1 Announce Type: new Abstract: Proposal-based controllers---learned policies, language-model planners, and other black-box \emph{generators}---are increasingly

arXiv:2605.04785v1 Announce Type: new Abstract: Modern AI agents execute real-world side effects through tool calls such as file operations, shell commands, HTTP requests, and