### 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)

"""For storage of arbitrary notes concerning the dagrun instance."""
    __tablename__ = "dag_run_note"
    user_id = Column(Integer, nullable=True)
    dag_run_id = Column(Integer, primary_key=True, nullable=False)
    content = Column(String(1000).with_variant(Text(1000), "mysql"))
    created_at = Column(UtcDateTime, default=timezone.utcnow, nullable=False)
    updated_at = Column(UtcDateTime, default=timezone.utcnow, onupdate=timezone.utcnow, nullable=False)
    dag_run = relationship("DagRun", back_populates="dag_run_note")
    __table_args__ = (
        PrimaryKeyConstraint("dag_run_id", name="dag_run_note_pkey"),
        ForeignKeyConstraint(
            (dag_run_id,),
            ["dag_run.id"],
            name="dag_run_note_dr_fkey",
            ondelete="CASCADE",
        ),
        ForeignKeyConstraint(
            (user_id,),
            ["ab_user.id"],
            name="dag_run_note_user_fkey",
        ),
    )
    def __init__(self, content, user_id=None):