Author

Emily J. Chang

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#artificial intelligence Jun 2026

Mnemosyne: Agentic Transaction Processing for Validating and Repairing AI-generated Workflows

This work introduces Agentic Transaction Processing (ATP), which treats generated actions as untrusted proposals until deterministic admission accepts them under an executable constraint set C, and proves four safety properties and establishes bounded reactive repair.

Edward Y. Chang, Long-Ling Geng, Emily J. Chang · arXiv.org · 8 citations · ⚡1

Jul 2026

TRACE: An Operational Reasoning Schema for Auditable Agentic Commitments

This paper argues in three layers that reasoning is not in the language model: the autoregressive mechanism natively computes association; chain-of-thought and reinforcement learning inherit its limits; and the formal constructs of reasoning theory are absent as machinery.

E. Y. Chang, Emily J. Chang · arXiv.org · 1 citation