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cs.MA2026
Coordination as an Architectural Layer for LLM-Based Multi-Agent Systems
Maksym Nechepurenko, Pavel Shuvalov
Multi-agent LLM systems fail in production at rates between 41% and 87%, mostly due to coordination defects rather than base-model capability. Existing responses split between cata…
cs.MA2026
Foresight Arena: An On-Chain Benchmark for Evaluating AI Forecasting Agents
Maksym Nechepurenko, Pavel Shuvalov
Evaluating the true forecasting ability of AI agents requires environments that are resistant to environments resistant to overfitting, free from centralized trust, and grounded in…