How to keep track of artifacts in via sagemaker experiments ?

based on the docs here , https://sagemaker.readthedocs.io/en/stable/experiments/sagemaker.experiments.html. I can use the sagemaker api or experiments package to start a trial/experiment and record it's run , also I can choose what all i want to track - parameters , metrics ... of each run. I assume here, there are lot of different type of things we are track , such as artifacts, metrics , logs, scripts .... , and this can be all viewed in/within sagemaker. artifacts lives in some s3 bucket , i guess, but when it comes to the scripts that we use for training, evaluations or even preprocessing , how does it keep track of these. i assume the default is simply that there is some s3 location that saves all of the artifacts related to each run. can the scripts live in code repository, aws code commit and we can link the all the scripts associated with a run to a link in code commit? or can other git repositories , github or gitlab linked in such way?