Instruction Bleed paper identifies prompt interference in agent systems

A new cs.AI paper, “Instruction Bleed,” studies cross-module interference in prompt-composed agentic systems. The authors describe compositional behavioral leakage, where changing one instruction block silently affects another.

The issue comes from the lack of hard boundaries inside a shared transformer context window. Even if modules are separated conceptually, the model can attend across them and blend behaviors.

For teams building modular agents, the paper is a warning that prompt architecture needs isolation and regression testing, not just neatly labeled sections.