### 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)

def mutate_task_instance(task_instance):
            if task_instance.queue == "queue1":
                task_instance.queue = "queue2"
            else:
                task_instance.queue = "queue1"
        mock_hook.side_effect = mutate_task_instance
        dag = DAG("test_task_instance_mutation_hook", start_date=DEFAULT_DATE)
        dag.add_task(EmptyOperator(task_id="task_to_mutate", owner="test", queue="queue1"))
        dagrun = self.create_dag_run(dag, session=session)
        task = dagrun.get_task_instances()[0]
        task.state = state
        session.merge(task)
        session.commit()
        assert task.queue == "queue2"
        dagrun.verify_integrity()
        task = dagrun.get_task_instances()[0]
        assert task.queue == "queue1"
    @pytest.mark.parametrize(
        "prev_ti_state, is_ti_success",
        [
            (TaskInstanceState.SUCCESS, True),
            (TaskInstanceState.SKIPPED, True),
            (TaskInstanceState.RUNNING, False),
            (TaskInstanceState.FAILED, False),
            (None, False),
        ],
    )
    def test_depends_on_past(self, session, prev_ti_state, is_ti_success):