Stronger reasoning models in LLMs reduce behavioral negotiation by defaulting to authority outcomes in multi-agent settings, unlike structured scaffolds that enable concessions.
AgenticPay: A multi-agent LLM negotiation system for buyer–seller transactions.arXiv preprint arXiv:2602.06008
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The paper systematizes security for LLM agents in agentic commerce into five threat dimensions, identifies 12 cross-layer attack vectors, and proposes a layered defense architecture.
Position paper proposing 'scaling the harness' as the next bottleneck in agentic AI, with three core system challenges and an open-source reference implementation called CheetahClaws.
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When Reasoning Models Hurt Behavioral Simulation: A Solver-Sampler Mismatch in Multi-Agent LLM Negotiation
Stronger reasoning models in LLMs reduce behavioral negotiation by defaulting to authority outcomes in multi-agent settings, unlike structured scaffolds that enable concessions.
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SoK: Security of Autonomous LLM Agents in Agentic Commerce
The paper systematizes security for LLM agents in agentic commerce into five threat dimensions, identifies 12 cross-layer attack vectors, and proposes a layered defense architecture.
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From Model Scaling to System Scaling: Scaling the Harness in Agentic AI
Position paper proposing 'scaling the harness' as the next bottleneck in agentic AI, with three core system challenges and an open-source reference implementation called CheetahClaws.
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