diff --git a/Project.toml b/Project.toml
index 6a8b89e..dce7dfc 100644
--- a/Project.toml
+++ b/Project.toml
@@ -10,7 +10,6 @@ ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
 Graphs = "86223c79-3864-5bf0-83f7-82e725a168b6"
 IndexedGraphs = "8a731c18-cfb7-4915-927e-cc26b56b67cd"
 JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
-KrylovKit = "0b1a1467-8014-51b9-945f-bf0ae24f4b77"
 Lazy = "50d2b5c4-7a5e-59d5-8109-a42b560f39c0"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 MPSKit = "bb1c41ca-d63c-52ed-829e-0820dda26502"
@@ -37,10 +36,9 @@ ForwardDiff = "0.10"
 Graphs = "1.12.0"
 IndexedGraphs = "0.6.1"
 JLD2 = "0.5.9"
-KrylovKit = "0.6"
 Lazy = "0.15"
 LinearAlgebra = "1.8"
-MPSKit = "0.10"
+MPSKit = "0.11.5"
 MatrixProductBP = "0.8"
 Pkg = "1.9"
 ProgressMeter = "1.9"
diff --git a/README.md b/README.md
index d5e2946..23d185e 100644
--- a/README.md
+++ b/README.md
@@ -1,8 +1,6 @@
 # InfiniteMatrixProductBP
 
-Code for the article [Nonequilibrium steady-state dynamics of Markov processes on graphs](https://arxiv.org/abs/2411.19100).
-
-To use the package on your own stochastic dynamics, check out the syntax of [MatrixProductBP.jl](https://github.com/stecrotti/MatrixProductBP.jl) and [TensorTrains.jl](https://github.com/stecrotti/TensorTrains.jl). Code in this repo only adds functionalities to truncate infinite tensor trains and can be used to reproduce the results in the article. 
+Code for the article "Nonequilibrium steady-state dynamics of Markov processes on graphs" ([arXiv:2411.19100](https://arxiv.org/abs/2411.19100)). 
 
 ## Installation
 On Julia >= 1.9, run
@@ -11,9 +9,10 @@ import Pkg; Pkg.add(url="https://github.com/stecrotti/InfiniteMatrixProductBP.jl
 ```
 
 ## Usage
-Begin in the home directory of the package and run
+To play around with the method on your own stochastic dynamics, check out the syntax of [MatrixProductBP.jl](https://github.com/stecrotti/MatrixProductBP.jl) and [TensorTrains.jl](https://github.com/stecrotti/TensorTrains.jl) where most of the source code lies. Code in this repo only adds functionalities to truncate infinite tensor trains and can be used to reproduce the results in the article.
+
+To reproduce results in the article, clone the repo, begin in the main directory and run
 ```julia
-include("setup.jl")
+import Pkg; Pkg.activate(".")
 ```
-
-To reproduce results in the article, run scripts from `/scripts/`, which will save data to `/data/`. Generate plots via [/scripts/plots.ipynb](/scripts/plots.ipynb). 
+then run scripts from `/scripts/`, which will save data to `/data/`. Generate plots via [/scripts/plots.ipynb](/scripts/plots.ipynb). 
\ No newline at end of file
diff --git a/setup.jl b/setup.jl
deleted file mode 100644
index 0b90950..0000000
--- a/setup.jl
+++ /dev/null
@@ -1,10 +0,0 @@
-import Pkg
-import Logging
-
-# activate necessary source code
-Pkg.activate(@__DIR__)
-Pkg.add(url="https://github.com/stecrotti/MPSKit.jl")
-
-# disable long VUMPS outputs
-Logging.disable_logging(Logging.Info)
-Logging.disable_logging(Logging.Warn)
\ No newline at end of file
diff --git a/src/InfiniteMatrixProductBP.jl b/src/InfiniteMatrixProductBP.jl
index ecfff90..70cccb0 100644
--- a/src/InfiniteMatrixProductBP.jl
+++ b/src/InfiniteMatrixProductBP.jl
@@ -32,7 +32,7 @@ function truncate_vumps(A::Array{F,3}, d;
     ψ₀ = InfiniteMPS([t])
     II = DenseMPO([add_util_leg(id(storagetype(site_type(ψ₀)), physicalspace(ψ₀, i)))
         for i in 1:length(ψ₀)])
-    alg = VUMPS(; maxiter, kw_vumps...) # variational approximation algorithm
+    alg = VUMPS(; maxiter, verbosity=0, kw_vumps...) # variational approximation algorithm
     # alg = IDMRG1(; maxiter)
     @assert typeof(ψ) == typeof(ψ₀)
     ψ_, = approximate(ψ, (II, ψ₀), alg)   # do the truncation