deepujain opened a new pull request, #72652:
URL: https://github.com/apache/airflow/pull/72652

   ## Summary
   
   Keep scheduled task instances pending when their serialized DAG is 
temporarily unavailable, instead of bulk-failing every scheduled task for that 
DAG.
   
   ## Changes
   
   - Preserve scheduled task instances during a transient serialized-DAG lookup 
failure.
   - Exclude the affected DAG from the current scheduling batch so healthy DAGs 
can continue to use available capacity.
   - Add regression coverage for the retry-on-a-later-tick behavior.
   
   ## Test plan
   
   - [ ] `uv run --project airflow-core pytest 
airflow-core/tests/unit/jobs/test_scheduler_job.py::TestSchedulerJob::test_missing_serialized_dag_keeps_scheduled_tasks_for_a_later_tick
 -xvs` (not available in this environment)
   - [x] `git diff --check`
   - [ ] CI passes
   
   ##### Was generative AI tooling used to co-author this PR?
   
   - [X] Yes (OpenAI Codex)
   
   Generated-by: OpenAI Codex following [the 
guidelines](https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#gen-ai-assisted-contributions)
   
   Fixes #62050
   


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