diff --git a/README.kr.rst b/README.kr.rst
index 6a251af..cd3d002 100644
--- a/README.kr.rst
+++ b/README.kr.rst
@@ -36,8 +36,6 @@ tomotopy 란?
 
 더 자세한 정보는 https://bab2min.github.io/tomotopy/index.kr.html 에서 확인하시길 바랍니다.
 
-tomotopy의 가장 최신버전은 0.11.0 입니다.
-
 시작하기
 ---------------
 다음과 같이 pip를 이용하면 tomotopy를 쉽게 설치할 수 있습니다.
@@ -256,6 +254,9 @@ tomotopy의 Python3 예제 코드는 https://github.com/bab2min/tomotopy/blob/ma
 
 역사
 -------
+* 0.11.1 (2021-03-28)
+    * 비대칭 alpha와 관련된 치명적인 버그가 수정되었습니다. 이 버그로 인해 0.11.0 버전은 릴리즈에서 삭제되었습니다.
+
 * 0.11.0 (2021-03-26)
     * 짧은 텍스트를 위한 토픽 모델인 `tomotopy.PTModel`가 추가되었습니다.
     * `tomotopy.HDPModel.infer`가 종종 segmentation fault를 발생시키는 문제가 해결되었습니다.
diff --git a/README.rst b/README.rst
index f8a2fa9..8bb6ceb 100644
--- a/README.rst
+++ b/README.rst
@@ -37,8 +37,6 @@ The current version of `tomoto` supports several major topic models including
 
 Please visit https://bab2min.github.io/tomotopy to see more information.
 
-The most recent version of tomotopy is 0.11.0.
-
 Getting Started
 ---------------
 You can install tomotopy easily using pip. (https://pypi.org/project/tomotopy/)
@@ -262,7 +260,10 @@ meaning you can use it for any reasonable purpose and remain in complete ownersh
 
 History
 -------
-* 0.11.0 (2021-03-26)
+* 0.11.1 (2021-03-28)
+    * A critical bug of asymmetric alphas was fixed. Due to this bug, version 0.11.0 has been removed from releases.
+
+* 0.11.0 (2021-03-26) (removed)
     * A new topic model `tomotopy.PTModel` for short texts was added into the package.
     * An issue was fixed where `tomotopy.HDPModel.infer` causes a segmentation fault sometimes.
     * A mismatch of numpy API version was fixed.
diff --git a/src/python/module.h b/src/python/module.h
index 340e3e4..69b6719 100644
--- a/src/python/module.h
+++ b/src/python/module.h
@@ -233,6 +233,7 @@ inline std::vector<Ty> broadcastObj(PyObject* obj, size_t k, FailMsg&& msg)
 		}
 		catch (const py::ConversionFail&)
 		{
+			PyErr_Clear();
 			ret.emplace_back(py::toCpp<Ty>(obj));
 		}
 		return ret;
diff --git a/tomotopy/_version.py b/tomotopy/_version.py
index 121d689..ff1e05d 100644
--- a/tomotopy/_version.py
+++ b/tomotopy/_version.py
@@ -1 +1 @@
-__version__ = '0.11.0'
\ No newline at end of file
+__version__ = '0.11.1'
\ No newline at end of file
diff --git a/tomotopy/documentation.kr.rst b/tomotopy/documentation.kr.rst
index 66e7f83..a05b5b4 100644
--- a/tomotopy/documentation.kr.rst
+++ b/tomotopy/documentation.kr.rst
@@ -19,8 +19,6 @@ tomotopy 란?
 * Dynamic Topic Model (`tomotopy.DTModel`)
 * Pseudo-document based Topic Model (`tomotopy.PTModel`)
 
-tomotopy의 가장 최신버전은 0.11.0 입니다.
-
 .. image:: https://badge.fury.io/py/tomotopy.svg
 
 시작하기
@@ -337,7 +335,10 @@ tomotopy의 Python3 예제 코드는 https://github.com/bab2min/tomotopy/blob/ma
 
 역사
 -------
-* 0.11.0 (2021-03-26)
+* 0.11.1 (2021-03-28)
+    * 비대칭 alpha와 관련된 치명적인 버그가 수정되었습니다. 이 버그로 인해 0.11.0 버전은 릴리즈에서 삭제되었습니다.
+
+* 0.11.0 (2021-03-26) (삭제됨)
     * 짧은 텍스트를 위한 토픽 모델인 `tomotopy.PTModel`가 추가되었습니다.
     * `tomotopy.HDPModel.infer`가 종종 segmentation fault를 발생시키는 문제가 해결되었습니다.
     * numpy API 버전 충돌이 해결되었습니다.
diff --git a/tomotopy/documentation.rst b/tomotopy/documentation.rst
index 8e5a40a..bd6e7b3 100644
--- a/tomotopy/documentation.rst
+++ b/tomotopy/documentation.rst
@@ -19,8 +19,6 @@ The current version of `tomoto` supports several major topic models including
 * Dynamic Topic Model (`tomotopy.DTModel`)
 * Pseudo-document based Topic Model (`tomotopy.PTModel`).
 
-The most recent version of tomotopy is 0.11.0.
-
 .. image:: https://badge.fury.io/py/tomotopy.svg
 
 Getting Started
@@ -341,7 +339,10 @@ meaning you can use it for any reasonable purpose and remain in complete ownersh
 
 History
 -------
-* 0.11.0 (2021-03-26)
+* 0.11.1 (2021-03-28)
+    * A critical bug of asymmetric alphas was fixed. Due to this bug, version 0.11.0 has been removed from releases.
+
+* 0.11.0 (2021-03-26) (removed)
     * A new topic model `tomotopy.PTModel` for short texts was added into the package.
     * An issue was fixed where `tomotopy.HDPModel.infer` causes a segmentation fault sometimes.
     * A mismatch of numpy API version was fixed.