testbed

VBVR-Pro introduces a closed-loop testbed for scalable and verifiable native visual reasoning through generation, featuring task scaling, verifiable rewards, and mechanism studies across diverse visual substrates.

An open-source testbed is introduced for comparing MCP servers, agent skills, and baseline runs, enabling standardized evaluation of these components.

AgenticSTS introduces a bounded-memory testbed for long-horizon LLM agents using typed retrieval, with results on Slay the Spire 2 showing improved performance.