diff --git a/.github/workflows/container_build_publish.yml b/.github/workflows/container_build_publish.yml
index 0007962f..07783916 100644
--- a/.github/workflows/container_build_publish.yml
+++ b/.github/workflows/container_build_publish.yml
@@ -72,6 +72,8 @@ jobs:
           context: .
           push: true
           #  Start with a limited number of platforms
-          platforms: linux/amd64,linux/arm64
+          #  ARM builds are (temporarily) removed in release 2.1.3 because pyqubo 1.5.0 is unavailable for this platform
+          #  platforms: linux/amd64,linux/arm64
+          platforms: linux/amd64
           tags: ${{ steps.meta.outputs.tags }}
           labels: ${{ steps.meta.outputs.labels }}
diff --git a/Dockerfile b/Dockerfile
index 44574f98..0572fa33 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,5 +1,5 @@
 FROM python:3.12
-
+RUN pip install --upgrade pip
 COPY . .
 RUN pip install --default-timeout=1800 -r .settings/requirements_full.txt
 
diff --git a/README.md b/README.md
index 3551c0c9..8b198ea5 100644
--- a/README.md
+++ b/README.md
@@ -248,6 +248,12 @@ After making sure your docker daemon is running, you can run the container:
 docker run -it --rm ghcr.io/quark-framework/quark
 ```
 
+> __Note__: ARM builds are (temporarily) removed in release 2.1.3 because pyqubo 1.5.0 is unavailable for this platform
+> at the moment. This means if you want to run QUARK as a container on a machine with a chip from this 
+> [list](https://en.wikipedia.org/wiki/List_of_ARM_processors) you might face problems. Please feel free to 
+> [open an issue](https://github.com/QUARK-framework/QUARK/issues/new), so we can work on a tailored workaround until 
+> the latest version of pyqubo is available on ARM platforms.
+
 You can also build the docker image locally like:
 ``` 
 docker build -t ghcr.io/quark-framework/quark .
diff --git a/docs/tutorial.rst b/docs/tutorial.rst
index 27c923e1..5b6bdfda 100644
--- a/docs/tutorial.rst
+++ b/docs/tutorial.rst
@@ -267,6 +267,12 @@ After making sure your docker daemon is running, you can run the container:
 
     docker run -it --rm ghcr.io/quark-framework/quark
 
+**Note**: ARM builds are (temporarily) removed in release 2.1.3 because pyqubo 1.5.0 is unavailable for this platform at
+the moment. This means if you want to run QUARK as a container on a machine with a chip from this
+`list <https://en.wikipedia.org/wiki/List_of_ARM_processors>`_ you might face problems. Please feel free to `open an
+issue <https://github.com/QUARK-framework/QUARK/issues/new>`_, so we can work on a tailored workaround until the latest
+version of pyqubo is available on ARM platforms.
+
 You can also build the docker image locally like:
 
 ::
diff --git a/tests/modules/applications/optimization/MIS/test_MIS.py b/tests/modules/applications/optimization/MIS/test_MIS.py
index 73ff6cb1..2230a96f 100644
--- a/tests/modules/applications/optimization/MIS/test_MIS.py
+++ b/tests/modules/applications/optimization/MIS/test_MIS.py
@@ -49,9 +49,9 @@ def test_process_solution(self):
 
     def test_validate(self):
         logging.disable(logging.WARNING)
-        self.mis_instance.application = nx.Graph()
-        self.mis_instance.application.add_nodes_from([0, 1, 2])
-        self.mis_instance.application.add_edges_from([(0, 1), (1, 2)])
+        self.mis_instance.graph = nx.Graph()
+        self.mis_instance.graph.add_nodes_from([0, 1, 2])
+        self.mis_instance.graph.add_edges_from([(0, 1), (1, 2)])
 
         valid_solution = [0, 2]
         is_valid, validation_time = self.mis_instance.validate(valid_solution)