AI RESEARCH
From LLM-Driven Trading Card Generation to Procedural Relatedness: A Pok\'emon Case Study
arXiv CS.AI
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ArXi:2604.27972v1 Announce Type: new Since the dawn of Trading Card Games, the genre has grown into a multi-billion-dollar industry engaging millions of analog and digital players worldwide. Popular TCGs rely on regular updates, balance adjustments, and rotating constraints to sustain engagement. Yet, as metagames stabilize, predictable strategies dominate and viable card options diminish, often resulting in repetitive and impaired player experiences.