### Apache Airflow version

main (development)

### What happened

Changing a non-mapped task with task instance note and task reschedule to a mapped task crashes scheduler when the task is cleared for rerun. Related commit where a similar fix was done.

commit a770edfac493f3972c10a43e45bcd0e7cfaea65f
Author: Ephraim Anierobi <splendidzigy24@gmail.com>
Date:   Mon Feb 20 20:45:25 2023 +0100

    Fix Scheduler crash when clear a previous run of a normal task that is now a mapped task (#29645)
    
    The fix was to clear the db references of the taskinstances in XCom, RenderedTaskInstanceFields
    and TaskFail. That way, we are able to run the mapped tasks

### What you think should happen instead

_No response_

### How to reproduce

1. Create below dag file with BashOperator non-mapped.
2. Schedule a dag run and wait for it to finish.
3. Add a task instance note to bash operator.
4. Change t1 to ` t1 = BashOperator.partial(task_id="bash").expand(bash_command=command)` and return `["echo hello"]` from get_command.
5. Restart the scheduler and clear the task. 
6. scheduler crashes on trying to use map_index though foreign key reference exists to task instance note and task reschedule.

```python
import datetime

from airflow.operators.bash import BashOperator
from airflow import DAG
from airflow.decorators import task

with DAG(dag_id="bash_simple", start_date=datetime.datetime(2022, 1, 1), schedule=None, catchup=False) as dag:

    @task
    def get_command(arg1, arg2):
        return "echo hello"

    command = get_command(1, 1)
    t1 = BashOperator(task_id="bash", bash_command=command)


if __name__ == '__main__':
    dag.test()

```

### Operating System

Ubuntu

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

outputs = []
        with dag_maker(dag_id="literal", session=session) as dag:
            @dag.task
            def show(value):
                outputs.append(value)
            show.expand(value=literal)
        dag_run = dag_maker.create_dagrun()
        show_task = dag.get_task("show")
        mapped_tis = (
            session.query(TI)
            .filter_by(task_id="show", dag_id=dag_run.dag_id, run_id=dag_run.run_id)
            .order_by(TI.map_index)
            .all()
        )
        assert len(mapped_tis) == len(literal)
        for ti in sorted(mapped_tis, key=operator.attrgetter("map_index")):
            ti.refresh_from_task(show_task)
            ti.run()
        assert outputs == expected_outputs
    @pytest.mark.parametrize(
        "upstream_return, expected_outputs",
        [
            pytest.param([1, 2, 3], [1, 2, 3], id="list"),
            pytest.param({"a": 1, "b": 2}, [("a", 1), ("b", 2)], id="dict"),
        ],
    )
    def test_map_xcom(self, upstream_return, expected_outputs, dag_maker, session):