Hi,
I can't find much in the way of documentation on this. What I do know is that the confidence interval is constructed using bootstrap estimation. You should be able to find general information about bootstrap estimation.
Basically:
1. Create a bootstrap sample with replacement. That is, randomly draw rows of data. Each time you draw a row you make that row available in the next draw. Keep drawing until you have as many rows as in the original data. Some rows will be duplicated, triplicated, etc. Other rows will not be in the bootstrap sample.
2. Fit the smoother to the bootstrap sample.
3. Repeat steps 1 and 2 many times.
4. Construct the confidence interval such that it contains 95% of the smoother fits.
I hope that helps.
Phil