diff --git a/README.md b/README.md
index 2754662a..1cdf8380 100644
--- a/README.md
+++ b/README.md
@@ -8,7 +8,6 @@ Python Software for Power System Scheduling Modeling and Co-Simulation with Dyna
 ![Repo Size](https://img.shields.io/github/repo-size/CURENT/ams)
 [![GitHub last commit (master)](https://img.shields.io/github/last-commit/CURENT/ams/master?label=last%20commit%20to%20master)](https://github.com/CURENT/ams/commits/master/)
 [![GitHub last commit (develop)](https://img.shields.io/github/last-commit/CURENT/ams/develop?label=last%20commit%20to%20develop)](https://github.com/CURENT/ams/commits/develop/)
-[![HitCount](https://hits.dwyl.com/CURENT/ams.svg)](https://hits.dwyl.com/CURENT/ams)
 [![libraries](https://img.shields.io/librariesio/release/pypi/ltbams)](https://libraries.io/pypi/ltbams)
 [![Structure](https://img.shields.io/badge/code_base-visualize-blue)](https://mango-dune-07a8b7110.1.azurestaticapps.net/?repo=CURENT%2Fams)
 
@@ -60,8 +59,9 @@ Use the following resources to get involved.
 # Installation
 
 ***NOTE:***
-- ``kvxopt`` is recommended to install via ``conda`` as sometimes ``pip`` struggles to set the correct path for compiled libraries
-- `cvxpy` versions **below 1.5** are incompatible with `numpy` versions **2.0 and above**.
+- Version **0.9.9** has known issues. Please avoid using this version
+- `kvxopt` is recommended to install via `conda` as sometimes ``pip`` struggles to set the correct path for compiled libraries
+- `cvxpy` versions **below 1.5** are incompatible with `numpy` versions **2.0 and above**
 
 AMS is released as ``ltbams`` on PyPI and conda-forge.
 Install from PyPI using pip:
diff --git a/docs/source/release-notes.rst b/docs/source/release-notes.rst
index 7c97f853..e90f6c22 100644
--- a/docs/source/release-notes.rst
+++ b/docs/source/release-notes.rst
@@ -9,15 +9,24 @@ The APIs before v3.0.0 are in beta and may change without prior notice.
 Pre-v1.0.0
 ==========
 
-v0.9.9 (2024-xx-xx)
--------------------
+v0.9.10 (2024-09-03)
+--------------------
+
+Hotfix of import issue in ``v0.9.9``.
 
+Features developed in ``v0.9.9``:
 - In module `MatProcessor`, add two parameters `permc_spec` and `use_umfpack` in function `build_ptdf`
 - Follow RTD's deprecation of Sphinx context injection at build time
 - In MATPOWER conversion, set devices name as None
 - Skip macOS tests in azure-pipelines due to failure in fixing its configuration
 - Prepare to support NumPy v2.0.0, but solvers have unexpected behavior
 - Improve the logic of setting `Optz` value
+- Support NumPy v2.0.0
+
+v0.9.9 (2024-09-02)
+-------------------
+
+**IMPORTANT NOTICE: This version has known issues and should be avoided.**
 
 v0.9.8 (2024-06-18)
 -------------------