### 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 sorted(indices) == [
        (0, State.NONE),
        (1, State.NONE),
        (2, State.NONE),
    ]
    
    dag.clear()
    Variable.set(key="arg1", value=[1, 2, 3, 4])
    with dag:
        task_2.expand(arg2=task_1()).operator
    
    
    serialized_dag = SerializedDAG.from_dict(SerializedDAG.to_dict(dag))
    dr.dag = serialized_dag
    
    ti = dr.get_task_instance(task_id="task_1")
    task1 = dag.get_task("task_1")
    ti.refresh_from_task(task1)
    ti.run()
    
    dr.task_instance_scheduling_decisions()
    tis = dr.get_task_instances()
    indices = [(ti.map_index, ti.state) for ti in tis if ti.map_index >= 0]
    assert sorted(indices) == [
        (0, State.NONE),
        (1, State.NONE),
        (2, State.NONE),
        (3, State.NONE),
    ]
def test_mapped_literal_length_reduction_at_runtime_adds_removed_state(dag_maker, session):