Author

Dheeraj Mohandas Pai

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#artificial intelligence Preprint Aug 2026

Long-Horizon State Tracking in LLMs: Executing MD5 through a Deep Sequence of Dependent Tool Calls

Gpt-oss-120b, a mixture-of-experts model with only $\sim$5.5B active parameters per token, carries the full state across all calls and returns the correct digest on a majority of completed runs, and localizes the residual failures by origin, separating state-carrying from arithmetic and from serving.

Dheeraj Mohandas Pai, Xian-Feng Lu · 0 citations

#artificial intelligence Preprint Aug 2026

FraudBench: Stress-Testing Policy-Grounded Banking Agents Against Adaptive Fraud

FraudBench is introduced, an executable benchmark built on the $\tau^2$-bench dual-control framework and the $\tau$-Knowledge banking environment that tests whether a policy-grounded banking agent safely acts when a caller manipulates identity, authorization, and trust over a conversation.

Dheeraj Mohandas Pai, Lu Xian · 0 citations