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Preprint Oct 2026

Purpose IR: Compiling User Purpose for Privacy-Preserving Agent Workflow State

LLM-agent workflows routinely transform rich observations into plans, summaries, memories, handoffs, and other reusable state. This creates a privacy boundary that task relevance alone does not capture: an observation may be needed as evidence for a task without its full semantics being authorized to persist. We call t...

Dong-Sheng Chen, Xiang-Yu Zhao, Lei Ma et al. · 0 citations

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