Author

A. Rios

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Preprint Aug 2026

From Generation to Discovery: Diffusion Mutation Kernels for Circuit and Physical Design

A diffusion-based discovery framework that learns transition operators that transform existing artifacts into new candidates, and defines a diffusion mutation kernel, a learned transition distribution that preserves the structural regularities of feasible designs while moving between regions of the design space.

Dinithi Jayasuriya, A. Saravanan, Nilesh Ahuja et al. · 0 citations

#artificial intelligence Preprint Aug 2026

CURA: Certified Runtime Alarms for Computer-Use Agents

This work introduces CURA (Certified Runtime Alarms for Computer-Use Agents), an external monitor that reads only harness-visible telemetry, with no model internals, extra LLM calls, or prompt changes, and turns the running trajectory into a sequential test with certified false-alarm control.

Divake Kumar, Sina Tayebati, Devashri Naik et al. · 1 citation