diff --git a/.github/workflows/Documentation.yml b/.github/workflows/Documentation.yml
index 04b586607..5ef9d54ec 100644
--- a/.github/workflows/Documentation.yml
+++ b/.github/workflows/Documentation.yml
@@ -31,14 +31,6 @@ jobs:
           using Pkg
           Pkg.develop(PackageSpec(path=pwd()))
           Pkg.instantiate()
-          println("--- Adding OrdinaryDiffEq from master")
-          # Drop any stale dev checkout a previous run left in ~/.julia/dev so the
-          # current master is cloned fresh; a stale checkout can pin an old version
-          # that conflicts with the docs [compat] (e.g. OrdinaryDiffEq 6.x vs "7").
-          let p = joinpath(Pkg.devdir(), "OrdinaryDiffEq")
-              isdir(p) && rm(p; recursive = true, force = true)
-          end
-          Pkg.develop("OrdinaryDiffEq")
         env:
           DATADEPS_ALWAYS_ACCEPT: true
           JULIA_PKG_PRECOMPILE_AUTO: 0
diff --git a/docs/make.jl b/docs/make.jl
index a90214ed4..d028f1869 100644
--- a/docs/make.jl
+++ b/docs/make.jl
@@ -25,10 +25,11 @@ import ODEProblemLibrary,
     SDEProblemLibrary, DDEProblemLibrary, DAEProblemLibrary, BVProblemLibrary
 using Sundials, DASKR, LSODA, DASSL, SimpleDiffEq, ODEInterfaceDiffEq
 
-# Use development versions for API documentation
-import Pkg
-Pkg.develop("OrdinaryDiffEq")
-Pkg.develop("StochasticDiffEq")
+# OrdinaryDiffEq, StochasticDiffEq and the solver subpackages are resolved from the
+# registry at their released versions — their docs/ ship in the released packages,
+# so the API docs below are copied from the installed (stable) packages with no
+# Pkg.develop of master (which would pin the docs to unreleased code and risk
+# monorepo version skew against the registered subpackages).
 
 cp("./docs/Manifest.toml", "./docs/src/assets/Manifest.toml", force = true)
 cp("./docs/Project.toml", "./docs/src/assets/Project.toml", force = true)
diff --git a/docs/src/features/low_dep.md b/docs/src/features/low_dep.md
index 8fb1526a0..49959e3d7 100644
--- a/docs/src/features/low_dep.md
+++ b/docs/src/features/low_dep.md
@@ -121,6 +121,7 @@ the old `using DifferentialEquations` shape:
 import OrdinaryDiffEq as ODE
 import OrdinaryDiffEqLowOrderRK as ODELow # Euler
 import DiffEqCallbacks as CB              # ProbIntsUncertainty
+import SciMLBase                          # EnsembleProblem
 function fitz(du, u, p, t)
     V, R = u
     a, b, c = p
@@ -132,7 +133,7 @@ tspan = (0.0, 20.0)
 p = (0.2, 0.2, 3.0)
 prob = ODE.ODEProblem(fitz, u0, tspan, p)
 cb = CB.ProbIntsUncertainty(0.2, 1)
-ensemble_prob = ODE.EnsembleProblem(prob)
+ensemble_prob = SciMLBase.EnsembleProblem(prob)
 sim = ODE.solve(ensemble_prob, ODELow.Euler(), trajectories = 100, callback = cb, dt = 1 / 10)
 ```