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JEV Arena is an open-source 2D fighting game benchmark where decision models choose every move based on health, distance and opponent actions, featuring a hosted leaderboard, custom fighter configs, and a 'mental_attack' move that lets models inject messages into their opponent's prompt.
This paper systematically evaluates three survival models (Cox, DeepSurv, RSF) under federated learning on heterogeneous breast cancer data, finding that FL outperforms local training and RSF offers the best balance of performance across clients.
KINA (Knowledge Index of Noah's Ark) is an 899-item LLM benchmark spanning 261 fine-grained disciplines, introducing formal guarantees for disciplinary representativeness, incentive-aligned annotation via bonus-on-bar tournaments, and bootstrap ranking-stability reporting. Evaluating 42 models, top performers include Gemini-3.1-Pro-Preview (53.17%), Claude-Opus-4.6 (49.92%), and GPT-5.4 (48.55%), revealing a tiered rather than smooth leaderboard structure.