I created some Stim circuits to do circuit-level noise simulations of some Hyperbolic surface codes, and I was able to recover the thresholds in the literature. The detector error model is good at reporting whether if a logical variable is flipped or not. Does stim/pymathcing have native capabilities in actually outputting the decoded and predicted locations of errors over the $d$ rounds of syndrome extractions?
Thanks!