diff --git a/Project.toml b/Project.toml
index 61e17aa..0f494e1 100644
--- a/Project.toml
+++ b/Project.toml
@@ -29,11 +29,13 @@ LabelledArrays = "1.16.0"
 LinearAlgebra = "1.10"
 Optimization = "4.1.1, 5"
 OptimizationOptimJL = "0.4.1"
-OrdinaryDiffEq = "6.98.0"
+OrdinaryDiffEq = "6.98.0, 7"
+OrdinaryDiffEqSDIRK = "1.1.0, 2"
+SciMLBase = "2, 3"
 Pkg = "1.10"
 PrecompileTools = "1.2.1"
 Random = "1.10.8"
-RecursiveArrayTools = "3.29.0"
+RecursiveArrayTools = "3.29.0, 4"
 ReverseDiff = "1.16"
 SafeTestsets = "0.1"
 SparseArrays = "1.10"
@@ -52,6 +54,8 @@ LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
 OptimizationOptimJL = "36348300-93cb-4f02-beb5-3c3902f8871e"
 OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
+OrdinaryDiffEqSDIRK = "2d112036-d095-4a1e-ab9a-08536f3ecdbf"
+SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
 Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 RecursiveArrayTools = "731186ca-8d62-57ce-b412-fbd966d074cd"
@@ -63,4 +67,4 @@ Symbolics = "0c5d862f-8b57-4792-8d23-62f2024744c7"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["Aqua", "ADTypes", "ExplicitImports", "ForwardDiff", "Random", "LabelledArrays", "LinearAlgebra", "OrdinaryDiffEq", "Test", "RecursiveArrayTools", "Pkg", "SafeTestsets", "Optimization", "OptimizationOptimJL", "SparseArrays", "Symbolics", "SparseConnectivityTracer"]
+test = ["Aqua", "ADTypes", "ExplicitImports", "ForwardDiff", "Random", "LabelledArrays", "LinearAlgebra", "OrdinaryDiffEq", "OrdinaryDiffEqSDIRK", "SciMLBase", "Test", "RecursiveArrayTools", "Pkg", "SafeTestsets", "Optimization", "OptimizationOptimJL", "SparseArrays", "Symbolics", "SparseConnectivityTracer"]
diff --git a/test/GPU/Project.toml b/test/GPU/Project.toml
index b49364e..8cbaac3 100644
--- a/test/GPU/Project.toml
+++ b/test/GPU/Project.toml
@@ -1,7 +1,11 @@
 [deps]
 CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
+OrdinaryDiffEqSDIRK = "2d112036-d095-4a1e-ab9a-08536f3ecdbf"
 PreallocationTools = "d236fae5-4411-538c-8e31-a6e3d9e00b46"
+SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
 
 [compat]
 CUDA = "3.12, 4, 5"
+OrdinaryDiffEqSDIRK = "2"
 PreallocationTools = "0.4, 1"
+SciMLBase = "2, 3"
diff --git a/test/core_nesteddual.jl b/test/core_nesteddual.jl
index 403ac98..7980395 100644
--- a/test/core_nesteddual.jl
+++ b/test/core_nesteddual.jl
@@ -1,6 +1,6 @@
 using LinearAlgebra,
-    OrdinaryDiffEq, Test, PreallocationTools, ForwardDiff, Optimization,
-    OptimizationOptimJL
+    OrdinaryDiffEq, OrdinaryDiffEqSDIRK, SciMLBase, Test, PreallocationTools, ForwardDiff,
+    Optimization, OptimizationOptimJL
 
 randmat = rand(5, 3)
 sto = similar(randmat)
@@ -83,7 +83,7 @@ function objfun(x, prob, realsol, cache)
     sol = solve(prob, TRBDF2(), saveat = 0.0:0.1:10.0, reltol = 1.0e-8)
 
     ofv = 0.0
-    if any((s.retcode != ReturnCode.Success for s in sol))
+    if sol.retcode != ReturnCode.Success
         ofv = 1.0e12
     else
         ofv = sum((sol .- realsol) .^ 2)
@@ -116,7 +116,7 @@ function objfun2(x, prob, realsol, cache)
     )
 
     ofv = 0.0
-    if any((s.retcode != ReturnCode.Success for s in sol))
+    if sol.retcode != ReturnCode.Success
         ofv = 1.0e12
     else
         ofv = sum((sol .- realsol) .^ 2)
diff --git a/test/core_odes.jl b/test/core_odes.jl
index c9e61e9..234a100 100644
--- a/test/core_odes.jl
+++ b/test/core_odes.jl
@@ -1,5 +1,5 @@
 using LinearAlgebra,
-    OrdinaryDiffEq, Test, PreallocationTools, LabelledArrays,
+    OrdinaryDiffEq, SciMLBase, Test, PreallocationTools, LabelledArrays,
     RecursiveArrayTools, ADTypes
 
 #Base array
diff --git a/test/gpu_all.jl b/test/gpu_all.jl
index 9a10e2e..e2a93c8 100644
--- a/test/gpu_all.jl
+++ b/test/gpu_all.jl
@@ -1,8 +1,9 @@
 using LinearAlgebra,
-    OrdinaryDiffEq, Test, PreallocationTools, CUDA, ForwardDiff, ADTypes
+    OrdinaryDiffEq, OrdinaryDiffEqSDIRK, SciMLBase, Test, PreallocationTools, CUDA,
+    ForwardDiff, ADTypes
 
 # upstream
-OrdinaryDiffEq.DiffEqBase.anyeltypedual(x::FixedSizeDiffCache, counter = 0) = Any
+SciMLBase.anyeltypedual(x::FixedSizeDiffCache, counter = 0) = Any
 
 #Dispatch tests
 chunk_size = 5