diff --git a/docs/Project.toml b/docs/Project.toml
index 568495207..ddbb79596 100644
--- a/docs/Project.toml
+++ b/docs/Project.toml
@@ -39,7 +39,7 @@ Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 [compat]
 CSV = "0.10"
 CUDA = "5"
-ComponentArrays = "0.13, 0.14, 0.15"
+ComponentArrays = "0.15"
 DataDeps = "0.7"
 DataFrames = "1"
 DiffEqFlux = "3"
@@ -49,27 +49,27 @@ Documenter = "1"
 Flux = "0.14"
 ForwardDiff = "0.10"
 IterTools = "1"
-LinearAlgebra = "<0.0.1, 1"
+LinearAlgebra = "1"
 Lux = "0.5.5"
 LuxCUDA = "0.3"
 MLDataUtils = "0.5"
 MLDatasets = "0.7"
 MLUtils = "0.4"
 NNlib = "0.9"
-Optimisers = "0.2, 0.3"
+Optimisers = "0.3"
 Optimization = "3.9"
 OptimizationOptimJL = "0.2"
 OptimizationOptimisers = "0.2"
 OptimizationPolyalgorithms = "0.2"
 OrdinaryDiffEq = "6.31"
 Plots = "1.36"
-Printf = "<0.0.1, 1"
-Random = "<0.0.1, 1"
+Printf = "1"
+Random = "1"
 ReverseDiff = "1.14"
-SciMLBase = "1.72, 2"
+SciMLBase = "2"
 SciMLSensitivity = "7.11"
 StableRNGs = "1"
 Statistics = "1"
 StochasticDiffEq = "6.56"
-Test = "<0.0.1, 1"
+Test = "1"
 Zygote = "0.6.62"
diff --git a/src/DiffEqFlux.jl b/src/DiffEqFlux.jl
index 06e9c59b0..cd6c451f5 100644
--- a/src/DiffEqFlux.jl
+++ b/src/DiffEqFlux.jl
@@ -19,16 +19,6 @@ import Lux.Experimental: StatefulLuxLayer
 
 @reexport using ADTypes, Lux
 
-# FIXME: Type Piracy
-function CRC.rrule(::Type{Tridiagonal}, dl, d, du)
-    y = Tridiagonal(dl, d, du)
-    @views function ∇Tridiagonal(∂y)
-        return (NoTangent(), diag(∂y[2:end, 1:(end - 1)]), diag(∂y),
-            diag(∂y[1:(end - 1), 2:end]))
-    end
-    return y, ∇Tridiagonal
-end
-
 include("ffjord.jl")
 include("neural_de.jl")
 include("spline_layer.jl")