diff --git a/cuda_core/docs/source/install.md b/cuda_core/docs/source/install.md
index 42b78b73a..a09653cd8 100644
--- a/cuda_core/docs/source/install.md
+++ b/cuda_core/docs/source/install.md
@@ -12,6 +12,8 @@ dependencies are as follows:
 
 [^1]: Including `cuda-python`.
 
+`cuda.core` supports Python 3.9 - 3.12, on Linux (x86-64, arm64) and Windows (x86-64).
+
 ## Installing from PyPI
 
 `cuda.core` works with `cuda.bindings` (part of `cuda-python`) 11 or 12. For example with CUDA 12:
diff --git a/cuda_core/docs/source/release/0.1.0-notes.md b/cuda_core/docs/source/release/0.1.0-notes.md
index 2131ed90c..5d1c7fd51 100644
--- a/cuda_core/docs/source/release/0.1.0-notes.md
+++ b/cuda_core/docs/source/release/0.1.0-notes.md
@@ -1,4 +1,4 @@
-# `cuda.core` Release notes
+# `cuda.core` v0.1.0 Release notes
 
 Released on Nov 8, 2024
 
diff --git a/cuda_core/docs/source/release/0.1.1-notes.md b/cuda_core/docs/source/release/0.1.1-notes.md
index 58e511aa7..ac21c2105 100644
--- a/cuda_core/docs/source/release/0.1.1-notes.md
+++ b/cuda_core/docs/source/release/0.1.1-notes.md
@@ -1,25 +1,28 @@
-# `cuda.core` Release notes
+# `cuda.core` v0.1.1 Release notes
 
-Released on Dec XX, 2024
+Released on Dec 20, 2024
 
 ## Hightlights
 
 - Add `StridedMemoryView` and `@args_viewable_as_strided_memory` that provide a concrete
   implementation of DLPack & CUDA Array Interface supports.
-- Add `Linker` that can link one or multiple `ObjectCode` instances generated by `Program`s. Under
-  the hood, it uses either the nvJitLink or cuLink APIs depending on the CUDA version detected
-  in the current environment.
-- Add a `cuda.core.experimental.system` module for querying system- or process- wide information.
-- Support TCC devices with a default synchronous memory resource to avoid the use of memory pools
+- Add `Linker` that can link one or multiple `ObjectCode` instances generated by `Program`. Under
+  the hood, it uses either the nvJitLink or driver (`cuLink*`) APIs depending on the CUDA version
+  detected in the current environment.
+- Support `pip install cuda-core`. Please see the Installation Guide for further details.
 
 ## New features
 
+- Add a `cuda.core.experimental.system` module for querying system- or process- wide information.
 - Add `LaunchConfig.cluster` to support thread block clusters on Hopper GPUs.
 
 ## Enchancements
 
-- Ensure "ltoir" is a valid code type to `ObjectCode`.
-- Improve test coverage.
+- The internal handle held by `ObjectCode` is now lazily initialized upon first touch.
+- Support TCC devices with a default synchronous memory resource to avoid the use of memory pools.
+- Ensure `"ltoir"` is a valid code type to `ObjectCode`.
+- Document the `__cuda_stream__` protocol.
+- Improve test coverage & documentation cross-references.
 - Enforce code formatting.
 
 ## Bug fixes
@@ -35,4 +38,6 @@ Released on Dec XX, 2024
   not supported. This will be fixed in a future release.
 - Some `LinkerOptions` are only available when using a modern version of CUDA. When using CUDA <12,
   the backend is the cuLink api which supports only a subset of the options that nvjitlink does.
-  Further, some options aren't available on CUDA versions <12.6
+  Further, some options aren't available on CUDA versions <12.6.
+- To use `cuda.core` with Python 3.13, it currently requires building `cuda-python` from source
+  prior to `pip install`. This extra step will be fixed soon.