- Fixed an issue in asynchronous preemption: Scheduler now checks if preemption is ongoing for a Pod before initiating new preemption calls. ([#134730](https://github.com/kubernetes/kubernetes/pull/134730), [@ania-borowiec](https://github.com/ania-borowiec)) [SIG Scheduling and Testing]

- Added kubectl explain -r flag as a shorthand for --recursive ([#135283](https://github.com/kubernetes/kubernetes/pull/135283), [@laervn](https://github.com/laervn)) [SIG CLI]
- Align the meaning of victim metrics between async preemption and sync preemption. The definition has been standardized to refer to the number of Pods chosen as victims. ([#135955](https://github.com/kubernetes/kubernetes/pull/135955), [@utam0k](https://github.com/utam0k)) [SIG Scheduling]

- Fixed a bug in kube-scheduler where pending pod preemption caused preemptor pods to be retried more frequently. ([#134247](https://github.com/kubernetes/kubernetes/pull/134247), [@macsko](https://github.com/macsko)) [SIG Scheduling and Testing]

- Graduated the asynchronous preemption feature in the scheduler to beta. 
  Now the feature flag (SchedulerAsyncPreemption) is enabled by default. ([#130550](https://github.com/kubernetes/kubernetes/pull/130550), [@sanposhiho](https://github.com/sanposhiho)) [SIG Scheduling]

    *   Added
        [`tf.distribute.experimental.PreemptionCheckpointHandler`](https://www.tensorflow.org/api_docs/python/tf/distribute/experimental/PreemptionCheckpointHandler)
        to handle worker preemption/maintenance and cluster-wise consistent
        error reporting for `tf.distribute.MultiWorkerMirroredStrategy`.
        Specifically, for the type of interruption with advance notice, it