def METHOD_NAME(resolved_issue_id: int, **kwargs) -> Sequence[int]:
    resolved_issue = Group.objects.get(id=resolved_issue_id)
    latest_resolved_activity = (
        Activity.objects.filter(
            group=resolved_issue,
            type__in=(
                ActivityType.SET_RESOLVED.value,
                ActivityType.SET_RESOLVED_IN_COMMIT.value,
                ActivityType.SET_RESOLVED_IN_PULL_REQUEST.value,
                ActivityType.SET_RESOLVED_IN_RELEASE.value,
            ),
        )
        .order_by("-datetime")
        .values_list("type", flat=True)
        .first()
    )
    latest_resolved_activity_type = (
        ActivityType(latest_resolved_activity).name if latest_resolved_activity else None
    )
    if resolved_issue.status != GroupStatus.RESOLVED or latest_resolved_activity is None:
        return []
    suspect_issue_candidates = list(
        Group.objects.filter(
            status=GroupStatus.UNRESOLVED,
            project=resolved_issue.project,
            last_seen__lte=(resolved_issue.last_seen + timedelta(hours=1)),
            last_seen__gte=(resolved_issue.last_seen - timedelta(hours=1)),
        ).exclude(id=resolved_issue.id)[:100]
    )
    result = is_issue_error_rate_correlated(resolved_issue, suspect_issue_candidates)
    if result is None:
        return []
    correlated_issue_ids = []
    for metric_correlation_result in result.candidate_metric_correlations:
        commit_correlation = is_issue_commit_correlated(
            resolved_issue.id,
            metric_correlation_result.candidate_suspect_resolution_id,
            resolved_issue.project.id,
        )
        if metric_correlation_result.is_correlated and commit_correlation.is_correlated:
            correlated_issue_ids.append(metric_correlation_result.candidate_suspect_resolution_id)
        analytics.record(
            "suspect_resolution.evaluation",
            algo_version=ALGO_VERSION,
            resolved_group_id=resolved_issue.id,
            candidate_group_id=metric_correlation_result.candidate_suspect_resolution_id,
            resolved_group_resolution_type=latest_resolved_activity_type,
            pearson_r_coefficient=metric_correlation_result.coefficient,
            pearson_r_start_time=result.correlation_start_time,
            pearson_r_end_time=result.correlation_end_time,
            pearson_r_resolution_time=result.issue_resolved_time,
            is_commit_correlated=commit_correlation.is_correlated,
            resolved_issue_release_ids=commit_correlation.resolved_issue_release_ids,
            candidate_issue_release_ids=commit_correlation.candidate_issue_release_ids,
            resolved_issue_total_events=metric_correlation_result.resolved_issue_total_events,
            candidate_issue_total_events=metric_correlation_result.candidate_issue_total_events,
        )
    return correlated_issue_ids