We present Coneris, the first higher-order concurrent separation logic for reasoning about error probability bounds of higher-order concurrent probabilistic programs with higher-order state. To support modular reasoning about concurrent (non-probabilistic) program modules, state-of-the-art program logics internalize the classic notion of linearizability within the logic through the concept of logical atomicity . In Coneris, we extend this idea to probabilistic concurrent program modules by capturing a novel notion of randomized logical atomicity within the logic. To do so, Coneris utilizes presampling tapes and a novel probabilistic update modality to describe how state is changed probabilistically at linearization points. We demonstrate this approach by means of smaller synthetic examples and larger case studies. All of the presented results, including the meta-theory, have been mechanized in the Rocq prover and the Iris separation logic framework.

@article{paperbot3045,
  title = {Modular Reasoning about Error Bounds for Concurrent Probabilistic Programs},
  author = {Kwing Hei Li and Alejandro Aguirre and Simon Oddershede Gregersen and Philipp G. Haselwarter and Joseph Tassarotti and Lars Birkedal},
  journal = {Proceedings of the ACM on Programming Languages},
  volume = {9},
  number = {ICFP},
  year = {2025},
  doi = {10.1145/3747514}
}