### 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)

if self.state == DagRunState.RUNNING:
            get_listener_manager().hook.on_dag_run_running(dag_run=self, msg=msg)
        elif self.state == DagRunState.SUCCESS:
            get_listener_manager().hook.on_dag_run_success(dag_run=self, msg=msg)
        elif self.state == DagRunState.FAILED:
            get_listener_manager().hook.on_dag_run_failed(dag_run=self, msg=msg)
        
        
        
    def _get_ready_tis(
        self,
        schedulable_tis: list[TI],
        finished_tis: list[TI],
        session: Session,
    ) -> tuple[list[TI], bool, bool]:
        old_states = {}
        ready_tis: list[TI] = []
        changed_tis = False
        if not schedulable_tis:
            return ready_tis, changed_tis, False
        
        
        additional_tis: list[TI] = []
        dep_context = DepContext(
            flag_upstream_failed=True,
            ignore_unmapped_tasks=True,  
            finished_tis=finished_tis,
        )
        def _expand_mapped_task_if_needed(ti: TI) -> Iterable[TI] | None: