two sibling layers in RPN are fully connected or 1x1 conv layers?

I read the faster r-cnn paper and i confused about region proposal section(3.1). now i dont know sibling layer in the RPN are fully connected layers or 1x1 convolutional layers?

This feature is fed into two sibling fullyconnected layers—a box-regression layer (reg) and a box-classification layer (cls).

This architecture is naturally implemented with an n×n convolutional layer followed by two sibling 1 × 1 convolutional layers (for reg and cls, respectively).

i know project implemented by conv layers. but I cant understand the contradiction in the explanation in the context of the article.