How does DAGKNIGHT discover its consensus threshold automatically?

DAGKNIGHT finds its own consensus threshold by testing every possible k value and picking the smallest one that keeps enough blocks in agreement — no fixed parameter required. In Kaspa's DAGKNIGHT protocol, a "k-cluster" is a tightly connected group of blocks in the block-DAG. For each candidate k, the protocol locates the largest such cluster in the current DAG and checks whether it covers at least 50% of all blocks; the smallest k that passes that test becomes the active threshold. This matters for beginners because it means DAGKNIGHT adjusts to whatever the network actually looks like in real time, rather than relying on a hard-coded value that a developer had to guess correctly in advance.