Kalman Filter backward pass is using measurements twice without weights

After a discussion in acts-project/traccc#788 I believe that our backward pass smoothing implementation in the Kalman Filter is not correct. We simply start from the last state and run the same filter back in the other direction. This will result in using measurements twice without applying any weights and potentially biased covariances and parameters.

This might also affect the GSF implementation.

References