### 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)

self, dag: DAG, ti_mutation_hook, *, session: Session
    ) -> set[str]:
        """
        Check for removed tasks/restored/missing tasks.
        :param dag: DAG object corresponding to the dagrun
        :param ti_mutation_hook: task_instance_mutation_hook function
        :param session: Sqlalchemy ORM Session
        :return: Task IDs in the DAG run
        """
        tis = self.get_task_instances(session=session)
        
        task_ids = set()
        for ti in tis:
            ti_mutation_hook(ti)
            task_ids.add(ti.task_id)
            try:
                task = dag.get_task(ti.task_id)
                should_restore_task = (task is not None) and ti.state == State.REMOVED
                if should_restore_task:
                    self.log.info("Restoring task '%s' which was previously removed from DAG '%s'", ti, dag)
                    Stats.incr(f"task_restored_to_dag.{dag.dag_id}", 1, 1)
                    ti.state = State.NONE
            except AirflowException:
                if ti.state == State.REMOVED: