### Apache Airflow version

2.4.3

### What happened

A significant fraction of the DAG Runs of a DAG that has 2+ consecutive mapped tasks which are are being passed an empty list are marked as failed when all tasks are either succeeding or being skipped. This was supposedly fixed with issue #25200 but the problem still persists.
![image](https://user-images.githubusercontent.com/46539900/203193331-db94c793-36e8-4fbd-bc45-29865c44fbfc.png)

### What you think should happen instead

The DAG Run should be marked success.

### How to reproduce

The real world version of this DAG has several mapped tasks that all point to the same list, and that list is frequently empty. I have made a minimal reproducible example.

```
from datetime import datetime

from airflow import DAG
from airflow.decorators import task


with DAG(dag_id="break_mapping", start_date=datetime(2022, 3, 4)) as dag:

    @task
    def add_one(x: int):
        return x + 1

    @task
    def say_hi():
        print("Hi")

    @task
    def say_bye():
        print("Bye")

    added_values = add_one.expand(x=[])
    added_more_values = add_one.expand(x=[])
    added_more_more_values = add_one.expand(x=[])
    say_hi() >> say_bye() >> added_values
    added_values >> added_more_values >> added_more_more_values
```

### Operating System

Debian Bullseye

### Versions of Apache Airflow Providers

_No response_

### Deployment

Astronomer

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] 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)

execution_date=execution_date,
            data_interval=data_interval,
            start_date=now,
            state=DagRunState.RUNNING,
            external_trigger=False,
        )
        if task_states is not None:
            for task_id, task_state in task_states.items():
                ti = dag_run.get_task_instance(task_id)
                ti.set_state(task_state, session)
            session.flush()
        return dag_run
    def test_clear_task_instances_for_backfill_dagrun(self, session):
        now = timezone.utcnow()
        dag_id = "test_clear_task_instances_for_backfill_dagrun"
        dag = DAG(dag_id=dag_id, start_date=now)
        dag_run = self.create_dag_run(dag, execution_date=now, is_backfill=True, session=session)
        task0 = EmptyOperator(task_id="backfill_task_0", owner="test", dag=dag)
        ti0 = TI(task=task0, run_id=dag_run.run_id)
        ti0.run()
        qry = session.query(TI).filter(TI.dag_id == dag.dag_id).all()
        clear_task_instances(qry, session)
        session.commit()
        ti0.refresh_from_db()
        dr0 = session.query(DagRun).filter(DagRun.dag_id == dag_id, DagRun.execution_date == now).first()
        assert dr0.state == DagRunState.QUEUED
    def test_dagrun_find(self, session):
        now = timezone.utcnow()
        dag_id1 = "test_dagrun_find_externally_triggered"
        dag_run = DagRun(