Add gh-176 to changelog

Author: vlad-perevezentsev

CHANGELOG.md

@@ -18,6 +18,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 * Sped up `randint` for `bool`, `uint8`, `int8`, `uint16` and `int16`; generated values are unchanged [gh-172](https://github.com/IntelPython/mkl_random/pull/172)
 * Raised the minimum build-time `Cython` requirement to `3.1.0`, the first release providing the `freethreading_compatible` directive [gh-159](https://github.com/IntelPython/mkl_random/pull/159)
 * Extended the `memcpy`-based fast path of `shuffle` to multi-dimensional `ndarray` inputs whose first-axis items are contiguous, which is also much faster than the previous buffered path [gh-159](https://github.com/IntelPython/mkl_random/pull/159)
+* Updated the `randint_untyped` implementation, which now supports `array_like` (broadcastable) `low`/`high` bounds [gh-176](https://github.com/IntelPython/mkl_random/pull/176)
 
 ### Fixed
 * Fixed `uniform` to return a Python `float` for scalar bounds with `size=None` instead of a 0-d array [gh-167](https://github.com/IntelPython/mkl_random/pull/167)
@@ -28,6 +29,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 * Fixed a memory leak in `logseries`, which leaked a temporary buffer on every call [gh-159](https://github.com/IntelPython/mkl_random/pull/159)
 * Fixed `randint` with scalar bounds above `INT_MAX`, `tomaxint` and `bytes` returning uninitialized data for `WH`, `MCG31`, `R250` and `MRG32K3A`, which lack `viRngUniformBits` support [gh-175](https://github.com/IntelPython/mkl_random/pull/175)
 * Fixed 64-bit integer generation returning zeros or crashing with `PHILOX4X32X10` and `ARS5` for requests of `2**30` elements or more [gh-175](https://github.com/IntelPython/mkl_random/pull/175)
+* Fixed `randint_untyped` raising `OverflowError` for bounds outside the C `long` range, e.g. `2**40` on Windows [gh-176](https://github.com/IntelPython/mkl_random/pull/176)
 
 ### Removed
 * Removed the `python-gil` constraint from the conda recipes, which pinned `mkl_random` to GIL-enabled Python 3.14 builds [gh-159](https://github.com/IntelPython/mkl_random/pull/159)