### 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)

assert dr.state == DagRunState.RUNNING
        assert dr2.state == DagRunState.RUNNING
        ti2_op1.set_state(state=TaskInstanceState.RUNNING, session=session)
        dr.update_state()
        dr2.update_state()
        assert dr.state == DagRunState.RUNNING
        assert dr2.state == DagRunState.RUNNING
    def test_dagrun_success_callback(self, session):
        def on_success_callable(context):
            assert context["dag_run"].dag_id == "test_dagrun_success_callback"
        dag = DAG(
            dag_id="test_dagrun_success_callback",
            start_date=datetime.datetime(2017, 1, 1),
            on_success_callback=on_success_callable,
        )
        dag_task1 = EmptyOperator(task_id="test_state_succeeded1", dag=dag)
        dag_task2 = EmptyOperator(task_id="test_state_succeeded2", dag=dag)
        dag_task1.set_downstream(dag_task2)
        initial_task_states = {
            "test_state_succeeded1": TaskInstanceState.SUCCESS,
            "test_state_succeeded2": TaskInstanceState.SUCCESS,
        }
        
        dag = SerializedDAG.from_dict(SerializedDAG.to_dict(dag))
        dag_run = self.create_dag_run(dag=dag, task_states=initial_task_states, session=session)
        _, callback = dag_run.update_state()
        assert DagRunState.SUCCESS == dag_run.state
        
        assert callback is None
    def test_dagrun_failure_callback(self, session):