### 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)

"""
        Tests that adding State.failed_states and State.success_states work as expected.
        """
        dag = DAG(dag_id="test_dagrun_states", start_date=DEFAULT_DATE)
        dag_task_success = EmptyOperator(task_id="dummy", dag=dag)
        dag_task_failed = EmptyOperator(task_id="dummy2", dag=dag)
        initial_task_states = {
            dag_task_success.task_id: TaskInstanceState.SUCCESS,
            dag_task_failed.task_id: TaskInstanceState.FAILED,
        }
        dag_run = self.create_dag_run(dag=dag, task_states=initial_task_states, session=session)
        ti_success = dag_run.get_task_instance(dag_task_success.task_id)
        ti_failed = dag_run.get_task_instance(dag_task_failed.task_id)
        assert ti_success.state in State.success_states
        assert ti_failed.state in State.failed_states
@pytest.mark.parametrize(
    ("run_type", "expected_tis"),
    [
        pytest.param(DagRunType.MANUAL, 1, id="manual"),
        pytest.param(DagRunType.BACKFILL_JOB, 3, id="backfill"),
    ],
)
@mock.patch.object(Stats, "incr")
def test_verify_integrity_task_start_and_end_date(Stats_incr, session, run_type, expected_tis):