  The reconstruction software for ILD is currently subject to a major revision,
aiming at improving its accuracy, speed, efficiency and maintainability in time
for the upcoming DBD Report. This requires replacing old code by novel methods
for track search and fit, together with modern standards for interfaces and
tools. Track reconstruction in the "forward region", defined by the silicon
Forward Tracking Detector (FTD), relies heavily on a powerful stand-alone track
search. The new software makes use of a Cellular Automaton, a Kalman filter,
and a Hopfield Neural Network. We give an overview of the project, its methods
and merits.
