In online play, Okrummy and Rummy represent skill-centric, imperfect-information card games, while Aviator embodies a real-time risk game with social signaling. Today, these titles coexist with fragmented fairness guarantees, inconsistent rating systems, and thin learning support. We present a demonstrable advance: a unified fairness and skill layer that spans Okrummy, Rummy, and Aviator, delivering provably fair outcomes, cross-game skill ratings, explainable coaching, and anti-collusion defenses. The result is trust and retention lift without compromising the character of each game.
First, we replace opaque randomness with commit–reveal built on verifiable random functions. The server publishes a signed seed commitment before shuffles or crash multipliers
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A Unified Fairness and Skill Layer: A Demonstrable Advance for Okrummy, Rummy, and Aviator
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