### 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)

[{"arg1": "a", "arg2": "b"}, {"arg1": "y"}, {"arg2": "z"}],
        )
        MockOperator.partial(task_id="task_4").expand_kwargs([args_0, {"arg1": "y"}, {"arg2": "z"}])
    dr: DagRun = dag_maker.create_dagrun()
    tis = {(ti.task_id, ti.map_index): ti for ti in dr.task_instances}
    
    
    
    assert sorted(map_index for (task_id, map_index) in tis if task_id == "task_2") == [-1]
    assert sorted(map_index for (task_id, map_index) in tis if task_id == "task_3") == [0, 1, 2]
    assert sorted(map_index for (task_id, map_index) in tis if task_id == "task_4") == [0, 1, 2]
    tis[("task_0", -1)].run()
    tis[("task_1", -1)].run()
    
    decision = dr.task_instance_scheduling_decisions()
    assert {(ti.task_id, ti.map_index): ti.state for ti in decision.schedulable_tis} == {
        ("task_2", 0): None,
        ("task_2", 1): None,
        ("task_2", 2): None,
        ("task_3", 0): None,
        ("task_3", 1): None,
        ("task_3", 2): None,
        ("task_4", 0): None,
        ("task_4", 1): None,
        ("task_4", 2): None,
    }
def test_mapped_skip_upstream_not_deadlock(dag_maker):
    with dag_maker() as dag:
        @dag.task
        def add_one(x: int):