### Apache Airflow version

main (development)

### What happened

Task failing with error "missing upstream values" when running a dag with dynamic task group mapping
error -
```
[2022-11-23, 15:50:07 UTC] {abstractoperator.py:456} ERROR - Cannot expand <Task(_PythonDecoratedOperator): increment_and_verify.hello_there> for run manual__2022-11-23T15:49:59.771915+00:00; missing upstream values: ['x']
```

### What you think should happen instead

It should succeed 

### How to reproduce

Run the below dag code 
```
from airflow import DAG
from airflow.models.taskinstance import TaskInstance
from airflow.operators.dummy import DummyOperator
from datetime import datetime, timedelta
from airflow.decorators import task, task_group
with DAG(
    dag_id="taskmap_taskgroup",
    tags=["AIP_42"],
    start_date=datetime(1970, 1, 1),
    schedule_interval=None,
) as dag:

    @task
    def onetwothree():
        return [1,2,3]

    @task
    def hello_there(arg):
        print(arg)

    @task_group
    def increment_and_verify(x):
        hello_there(x)

    increment_and_verify.expand(x=onetwothree())>>DummyOperator(task_id="done")
```

### Operating System

mac os

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### 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, running, session
    ) -> Iterator[tuple[MappedOperator, str, Sequence[TaskInstance], int]]:
        """
        Checks if the executor agrees with the state of task instances
        that are running.
        Expands downstream mapped tasks when necessary
        :param running: dict of key, task to verify
        :return: An iterable of expanded TaskInstance per MappedTask
        """
        executor = self.executor
        
        for key, value in list(executor.get_event_buffer().items()):
            state, info = value
            if key not in running:
                self.log.warning("%s state %s not in running=%s", key, state, running.values())
                continue
            ti = running[key]
            ti.refresh_from_db()
            self.log.debug("Executor state: %s task %s", state, ti)
            if (
                state in (TaskInstanceState.FAILED, TaskInstanceState.SUCCESS)
                and ti.state in self.STATES_COUNT_AS_RUNNING
            ):
                msg = (
                    f"Executor reports task instance {ti} finished ({state}) although the task says its "
                    f"{ti.state}. Was the task killed externally? Info: {info}"
                )
                self.log.error(msg)
                ti.handle_failure(error=msg)
                continue