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The search is performed using a data set corresponding to an integrated luminosity of $41.6~\\textrm{fb}^{-1}$, which was collected in proton-proton collisions at $\\sqrt{s}=13~\\textrm{TeV}$ by the CMS experiment at the CERN LHC in 2018 using non-prompt muon triggers. The search is based on resonant muon pair signatures. Machine-learning techniques are employed in the analysis, utilising boosted decision trees to discriminate between signal and background. No significant excess is observed above the standard model expectation. Upper limits on the branching fraction of the Higgs boson decaying to dark partons are determined to be as low as $10^{-4}$ at 95% confidence level, surpassing and extending the existing limits on models with dark $\\tilde{\\omega}$ mesons for mean proper decay lengths of less than $500~\\textrm{mm}$ and for $\\tilde{\\omega}$ masses down to $0.3~\\textrm{GeV}$. First limits are set for extended dark-shower models with two dark flavours that contain dark photons, probing their masses down to $0.33~\\textrm{GeV}$.","hasPart":[{"@id":"https://doi.org/10.17182/hepdata.165888.v1/t1","@type":"Dataset","description":"Dimuon invariant mass distributions in mass windows around $0.67~\\textrm{GeV}$ in the single-vertex category with $1~\\textrm{cm}<l_{xy}<10~\\textrm{cm}$ and $\\textrm{pointing angle}<0.2$. The background...","name":"Scenario A dimuon mass distribution at 0.67 GeV"},{"@id":"https://doi.org/10.17182/hepdata.165888.v1/t2","@type":"Dataset","description":"Dimuon invariant mass distributions in mass windows around $1.33~\\textrm{GeV}$ in the single-vertex category with $1~\\textrm{cm}<l_{xy}<10~\\textrm{cm}$ and $\\textrm{pointing angle}<0.2$. 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