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Ranganath Krishnan

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#artificial intelligence Preprint Sep 2026

Self-Healing Harness for Runtime Oversight of Agent Self-Modification

Across 16 matched Baseline and Harness runs spanning AppWorld, Terminal-Bench, and $\tau^2$-Bench, the gate rejected 383 replay-decided proposals, showing that locally beneficial self-modifications can introduce collateral regressions often enough to materially affect gate decisions, providing direct empirical motivati...

Sina Tayebati, Divake Kumar, Nastaran Darabi 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

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