Currently we use execution-date when generating the command to send via executor in https://github.com/apache/airflow/blob/9c94b72d440b18a9e42123d20d48b951712038f9/airflow/models/taskinstance.py#L420-L436

We should replace the execution_date in their to run_id instead and handle the corresponding changes needs on the executor and worker.
airflow/models/taskinstance.py
from airflow.models.xcom import XCOM_RETURN_KEY, XCom
from airflow.plugins_manager import integrate_macros_plugins
from airflow.sentry import Sentry
from airflow.stats import Stats
from airflow.ti_deps.dep_context import DepContext
from airflow.ti_deps.dependencies_deps import REQUEUEABLE_DEPS, RUNNING_DEPS
from airflow.typing_compat import Literal
from airflow.utils import timezone
from airflow.utils.email import send_email
from airflow.utils.helpers import is_container
from airflow.utils.log.logging_mixin import LoggingMixin
from airflow.utils.net import get_hostname
from airflow.utils.operator_helpers import context_to_airflow_vars
from airflow.utils.platform import getuser
from airflow.utils.session import provide_session
from airflow.utils.sqlalchemy import ExtendedJSON, UtcDateTime
from airflow.utils.state import DagRunState, State
from airflow.utils.timeout import timeout
try:
    from kubernetes.client.api_client import ApiClient
    from airflow.kubernetes.kube_config import KubeConfig
    from airflow.kubernetes.pod_generator import PodGenerator
except ImportError:
    ApiClient = None
TR = TaskReschedule
Context = Dict[str, Any]
_CURRENT_CONTEXT: List[Context] = []
log = logging.getLogger(__name__)
if TYPE_CHECKING:
    from airflow.models.dag import DAG, DagModel