3 papers
cs.CR2026
Agentic Commerce Bench: Measuring Fraud Detection for Agents That Spend Money
Ankit Srivastava, Debjyoti Paul
AI agents now hold spend authority and settle payments without per-action human confirmation. The resulting loss is often not a security failure: a counterparty with the correct do…
cs.AI2026
A Control System, a Dataset, and a Recipe for Making Frozen LLM Agents Learn a Domain
Debjyoti Paul
Production LLM agents are increasingly assembled from a frozen model wrapped in a harness: a prompt template, a tool set, a memory/retrieval layer, a planning strategy, and a verif…
cs.AI2026
Context Assembly as the Controlled Variable: A Control-Theoretic View of Harness Policies for Frozen LLM Agents
Debjyoti Paul
A growing body of 2026 work applies control theory to LLM agents: Lyapunov-certified stability for tool-mediated controllers (Prinos et al., "Stable Agentic Control", 2026), sample…