### Apache Airflow version

2.6.2

### What happened

All tasks were run 1 time. The try number is 2 for all tasks

### What you think should happen instead

Try number should be 1 if only tried 1 time

### How to reproduce

Run a task and use the UI to look up try number

### Operating System

centos

### 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)

)
                .join(DagScheduleDatasetReference, DagScheduleDatasetReference.dataset_id == DatasetModel.id)
                .join(
                    DatasetDagRunQueue,
                    and_(
                        DatasetDagRunQueue.dataset_id == DatasetModel.id,
                        DatasetDagRunQueue.target_dag_id == DagScheduleDatasetReference.dag_id,
                    ),
                    isouter=True,
                )
                .join(
                    DatasetEvent,
                    DatasetEvent.dataset_id == DatasetModel.id,
                    isouter=True,
                )
                .filter(DagScheduleDatasetReference.dag_id == dag_id, ~DatasetModel.is_orphaned)
                .group_by(DatasetModel.id, DatasetModel.uri)
                .order_by(DatasetModel.uri)
            ]
        return (
            htmlsafe_json_dumps(data, separators=(",", ":"), dumps=flask.json.dumps),
            {"Content-Type": "application/json; charset=utf-8"},
        )
    @expose("/object/dataset_dependencies")
    @auth.has_access(
        [
            (permissions.ACTION_CAN_READ, permissions.RESOURCE_DAG_DEPENDENCIES),
        ]
    )
    def dataset_dependencies(self):