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Author

Leonidas Raghav

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Preprint Oct 2026

Pre-Crime for Agents, at the Last Second: Probing When a Recruited Agent Gives In

It is shown that a linear probe on the agent's activations can be detected, in a controlled multi-agent setting, and a warning raised before generation could let an overseer stop an agent that is about to give in, ahead of others acting on its messages or recruitment spreading through a swarm.

Leonidas Raghav · 0 citations

Autonomous Event-Driven Multi-Agent Orchestration for Enterprise AI at Scale

A controlled simulation based on a sanitized enterprise research snapshot is presented and DAG Plan&Execute with ReAct is compared with ReAct and a minimal Task Manager is evaluated for priority inference, related-event merging, and preemption.

Harsh Rao Dhanyamraju, Leonidas Raghav, Aaron Lee · 0 citations
#artificial intelligence Preprint Sep 2026

Share-Borne AI Virus: Memory-Hopping Attacks Across LLM Agents

This work introduces artifact-mediated propagation, where adversarial content introduced through an artifact is stored in an assistant's persistent memory, reproduced in a subsequently created artifact, and acquired by another assistant that later reads it.

Sidharth Pulipaka, Anshu Sharma, Stanislau Hlebik et al. · 0 citations

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