AI RESEARCH
CUBE: A Standard for Unifying Agent Benchmarks
arXiv CS.AI
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ArXi:2603.15798v1 Announce Type: new The proliferation of agent benchmarks has created critical fragmentation that threatens research productivity. Each new benchmark requires substantial custom integration, creating an "integration tax" that limits comprehensive evaluation. We propose CUBE (Common Unified Benchmark Environments), a universal protocol standard built on MCP and Gym that allows benchmarks to be wrapped once and used everywhere.