diff --git a/ext/VectorInterfaceMooncakeExt.jl b/ext/VectorInterfaceMooncakeExt.jl
index 57c26b8..124583f 100644
--- a/ext/VectorInterfaceMooncakeExt.jl
+++ b/ext/VectorInterfaceMooncakeExt.jl
@@ -24,7 +24,7 @@ _needs_tangent(::Type{T}) where {T <: Number} =
 # scale
 # -----
 @is_primitive DefaultCtx Tuple{typeof(scale!), AbstractArray, Number}
-function Mooncake.rrule!!(::CoDual{typeof(scale!)}, C_ΔC::CoDual{<:AbstractArray}, α_Δα::CoDual{<:Number})
+function Mooncake.rrule!!(::CoDual{typeof(scale!)}, C_ΔC::CoDual, α_Δα::CoDual{<:Number})
     # prepare arguments
     C, ΔC = arrayify(C_ΔC)
     α = primal(α_Δα)
@@ -43,7 +43,7 @@ function Mooncake.rrule!!(::CoDual{typeof(scale!)}, C_ΔC::CoDual{<:AbstractArra
     return C_ΔC, scale_pullback
 end
 
-function Mooncake.frule!!(::Dual{typeof(scale!)}, C_ΔC::Dual{<:AbstractArray}, α_Δα::Dual{<:Number})
+function Mooncake.frule!!(::Dual{typeof(scale!)}, C_ΔC::Dual, α_Δα::Dual{<:Number})
     # prepare arguments
     C, ΔC = arrayify(C_ΔC)
     α, Δα = extract(α_Δα)
@@ -60,7 +60,7 @@ end
 
 @is_primitive DefaultCtx Tuple{typeof(scale!), AbstractArray, AbstractArray, Number}
 
-function Mooncake.rrule!!(::CoDual{typeof(scale!)}, C_ΔC::CoDual{<:AbstractArray}, A_ΔA::CoDual{<:AbstractArray}, α_Δα::CoDual{<:Number})
+function Mooncake.rrule!!(::CoDual{typeof(scale!)}, C_ΔC::CoDual, A_ΔA::CoDual, α_Δα::CoDual{<:Number})
     # prepare arguments
     C, ΔC = arrayify(C_ΔC)
     A, ΔA = arrayify(A_ΔA)
@@ -81,7 +81,7 @@ function Mooncake.rrule!!(::CoDual{typeof(scale!)}, C_ΔC::CoDual{<:AbstractArra
     return C_ΔC, scale_pullback
 end
 
-function Mooncake.frule!!(::Dual{typeof(scale!)}, C_ΔC::Dual{<:AbstractArray}, A_ΔA::Dual{<:AbstractArray}, α_Δα::Dual{<:Number})
+function Mooncake.frule!!(::Dual{typeof(scale!)}, C_ΔC::Dual, A_ΔA::Dual, α_Δα::Dual{<:Number})
     # prepare arguments
     C, ΔC = arrayify(C_ΔC)
     A, ΔA = arrayify(A_ΔA)
@@ -98,7 +98,7 @@ end
 
 @is_primitive DefaultCtx Tuple{typeof(add!), AbstractArray, AbstractArray, Number, Number}
 
-function Mooncake.rrule!!(::CoDual{typeof(add!)}, C_ΔC::CoDual{<:AbstractArray}, A_ΔA::CoDual{<:AbstractArray}, α_Δα::CoDual{<:Number}, β_Δβ::CoDual{<:Number})
+function Mooncake.rrule!!(::CoDual{typeof(add!)}, C_ΔC::CoDual, A_ΔA::CoDual, α_Δα::CoDual{<:Number}, β_Δβ::CoDual{<:Number})
     # prepare arguments
     C, ΔC = arrayify(C_ΔC)
     A, ΔA = arrayify(A_ΔA)
@@ -123,7 +123,7 @@ function Mooncake.rrule!!(::CoDual{typeof(add!)}, C_ΔC::CoDual{<:AbstractArray}
     return C_ΔC, add_pullback
 end
 
-function Mooncake.frule!!(::Dual{typeof(add!)}, C_ΔC::Dual{<:AbstractArray}, A_ΔA::Dual{<:AbstractArray}, α_Δα::Dual{<:Number}, β_Δβ::Dual{<:Number})
+function Mooncake.frule!!(::Dual{typeof(add!)}, C_ΔC::Dual, A_ΔA::Dual, α_Δα::Dual{<:Number}, β_Δβ::Dual{<:Number})
     # prepare arguments
     C, ΔC = arrayify(C_ΔC)
     A, ΔA = arrayify(A_ΔA)
@@ -142,7 +142,7 @@ end
 
 @is_primitive DefaultCtx Tuple{typeof(inner), AbstractArray, AbstractArray}
 
-function Mooncake.rrule!!(::CoDual{typeof(inner)}, A_ΔA::CoDual{<:AbstractArray}, B_ΔB::CoDual{<:AbstractArray})
+function Mooncake.rrule!!(::CoDual{typeof(inner)}, A_ΔA::CoDual, B_ΔB::CoDual)
     # prepare arguments
     A, ΔA = arrayify(A_ΔA)
     B, ΔB = arrayify(B_ΔB)
@@ -159,7 +159,7 @@ function Mooncake.rrule!!(::CoDual{typeof(inner)}, A_ΔA::CoDual{<:AbstractArray
     return CoDual(s, NoFData()), inner_pullback
 end
 
-function Mooncake.frule!!(::Dual{typeof(inner)}, A_ΔA::Dual{<:AbstractArray}, B_ΔB::Dual{<:AbstractArray})
+function Mooncake.frule!!(::Dual{typeof(inner)}, A_ΔA::Dual, B_ΔB::Dual)
     # prepare arguments
     A, ΔA = arrayify(A_ΔA)
     B, ΔB = arrayify(B_ΔB)
diff --git a/test/mooncake.jl b/test/mooncake.jl
index d8466d1..3f44ca3 100644
--- a/test/mooncake.jl
+++ b/test/mooncake.jl
@@ -4,6 +4,7 @@ using VectorInterface
 using VectorInterface: MinimalMVec, MinimalSVec, MinimalVec
 using Test, TestExtras
 using Mooncake
+import Mooncake: arrayify
 using Random
 
 rng = Random.default_rng()
@@ -11,6 +12,13 @@ rng = Random.default_rng()
 precision(::Type{T}) where {T <: Union{Float32, ComplexF32}} = sqrt(eps(Float32))
 precision(::Type{T}) where {T <: Union{Float64, ComplexF64}} = sqrt(eps(Float64))
 
+function Mooncake.arrayify(A_dA::Mooncake.CoDual{<:MinimalVec})
+    return (Mooncake.primal(A_dA).vec, Mooncake.tangent(A_dA).data.vec)
+end
+function Mooncake.arrayify(A_dA::Mooncake.Dual{<:MinimalVec})
+    return (Mooncake.primal(A_dA).vec, Mooncake.tangent(A_dA).fields.vec)
+end
+
 eltypes = (Float32, Float64, ComplexF64)
 
 @testset "scale ($T)" for T in eltypes