### 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)

from airflow.models import DAG, DagBag, DagModel, DagRun, TaskInstance as TI, clear_task_instances
from airflow.models.baseoperator import BaseOperator
from airflow.models.taskmap import TaskMap
from airflow.operators.empty import EmptyOperator
from airflow.operators.python import ShortCircuitOperator
from airflow.serialization.serialized_objects import SerializedDAG
from airflow.stats import Stats
from airflow.utils import timezone
from airflow.utils.state import DagRunState, State, TaskInstanceState
from airflow.utils.trigger_rule import TriggerRule
from airflow.utils.types import DagRunType
from tests.models import DEFAULT_DATE as _DEFAULT_DATE
from tests.test_utils.db import (
    clear_db_dags,
    clear_db_datasets,
    clear_db_pools,
    clear_db_runs,
    clear_db_variables,
)
from tests.test_utils.mock_operators import MockOperator
DEFAULT_DATE = pendulum.instance(_DEFAULT_DATE)
class TestDagRun:
    dagbag = DagBag(include_examples=True)
    def setup_class(self) -> None:
        clear_db_runs()
        clear_db_pools()
        clear_db_dags()
        clear_db_variables()
        clear_db_datasets()
    def teardown_method(self) -> None: