Author

Paul-Peter Arslan

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Preprint Sep 2026

Audit Without Verification: When LLM Accountability Layers Relay Rather Than Check

Multi-agent LLM pipelines increasingly span organisational boundaries; when a fault surfaces, someone must determine where it entered. The artifact available is rarely a full execution trace: it is the reports each agent filed, and a filed report can state a conclusion alongside its observations. Using a pre-registered...

Paul-Peter Arslan · 0 citations

#machine learning Preprint Sep 2026

Persistent Partners Raise Prices Among Learning Agents

When pricing agents meet repeatedly on a platform, the platform decides who faces whom. We ask whether that choice moves the prices the agents learn, and whether a rise comes with learned punishment. In a pre-registered randomised experiment in the Bertrand duopoly of Calvano et al., each agent's price is set by a tabu...

Paul-Peter Arslan, Yubin Kim, Xiao Xiao · 0 citations