fat-catTW opened a new pull request, #71697:
URL: https://github.com/apache/airflow/pull/71697

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   ## Why
   Pausing a Dag currently blocks more than new Dag run creation. If a Dag is 
paused while a Dag run is already `running`, the scheduler stops examining that 
run and stops queueing its remaining scheduled task instances.
   
   That leaves the run silently stuck in `running`, with remaining tasks 
staying in `scheduled` and never reaching the executor. Unpausing fixes the 
stuck run, but also allows new runs to start, which is not always what the 
operator intended.
   
   relates: #71381
   
   ## Solution
   Keep pause behavior for new work, but let already-running Dag runs continue.
   
   Queued Dag runs still require an unpaused Dag before they can move to 
`running`. The scheduler now only removes the pause gate from paths that 
operate on Dag runs already in `running` state:
   
   - selecting running Dag runs for scheduler examination
   - queueing scheduled task instances that belong to running Dag runs
   
   This preserves pause as "do not start new runs" while allowing in-flight 
runs to finish.
   
   
   
   ## Testing
   
   - `uv run ruff check --fix airflow-core/src/airflow/models/dagrun.py 
airflow-core/src/airflow/jobs/scheduler_job_runner.py 
airflow-core/tests/unit/models/test_dagrun.py 
airflow-core/tests/unit/jobs/test_scheduler_job.py`
   - `uv run --project airflow-core pytest 
airflow-core/tests/unit/models/test_dagrun.py::TestDagRun::test_next_dagruns_to_examine_paused_dag
 
airflow-core/tests/unit/jobs/test_scheduler_job.py::TestSchedulerJob::test_execute_task_instances_for_paused_running_dagrun
 -q`
   - `git diff --check`
   
   ##### Was generative AI tooling used to co-author this PR?
   
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   * For fundamental code changes, an Airflow Improvement Proposal 
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