"Bug in ProcessLog with FeatureSelectionParallel?"

When I try to log the performance (rms error) of a model inside a feature selection process, it only works if I am using the single-threaded FeatureSelection node, not the parallel-processing-enabled FeatureSelectionParallel available in RM Enterprise.

In the two examples below, the ProcessLog in the former produces valid performance data, but the latter has all '?' in the performance column.

<operator name="Root" class="Process" expanded="yes">
    <operator name="ExampleSetGenerator" class="ExampleSetGenerator">
        <parameter key="target_function"	value="non linear"/>
        <parameter key="number_examples"	value="1000"/>
    </operator>
    <operator name="AttributeConstruction" class="AttributeConstruction">
        <list key="function_descriptions">
          <parameter key="att_random1"	value="rand()"/>
          <parameter key="att_random2"	value="rand()"/>
          <parameter key="att_constant"	value="0"/>
        </list>
    </operator>
    <operator name="FeatureSelection" class="FeatureSelection" expanded="yes">
        <parameter key="generations_without_improval"	value="2"/>
        <operator name="W-LWL" class="W-LWL">
            <parameter key="keep_example_set"	value="true"/>
            <parameter key="K"	value="5.0"/>
        </operator>
        <operator name="OperatorChain" class="OperatorChain" expanded="yes">
            <operator name="ModelApplier" class="ModelApplier">
                <list key="application_parameters">
                </list>
            </operator>
            <operator name="RegressionPerformance" class="RegressionPerformance">
                <parameter key="root_mean_squared_error"	value="true"/>
            </operator>
            <operator name="ProcessLog" class="ProcessLog">
                <list key="log">
                  <parameter key="generation"	value="operator.FeatureSelection.value.generation"/>
                  <parameter key="feature_name"	value="operator.FeatureSelection.value.feature_names"/>
                  <parameter key="performance"	value="operator.RegressionPerformance.value.root_mean_squared_error"/>
                </list>
            </operator>
        </operator>
    </operator>
</operator>

<operator name="Root" class="Process" expanded="yes">
    <operator name="ExampleSetGenerator" class="ExampleSetGenerator">
        <parameter key="target_function"	value="non linear"/>
        <parameter key="number_examples"	value="1000"/>
    </operator>
    <operator name="AttributeConstruction" class="AttributeConstruction">
        <list key="function_descriptions">
          <parameter key="att_random1"	value="rand()"/>
          <parameter key="att_random2"	value="rand()"/>
          <parameter key="att_constant"	value="0"/>
        </list>
    </operator>
    <operator name="FeatureSelectionParallel" class="FeatureSelectionParallel" expanded="yes">
        <operator name="W-LWL" class="W-LWL">
            <parameter key="keep_example_set"	value="true"/>
            <parameter key="K"	value="5.0"/>
        </operator>
        <operator name="OperatorChain" class="OperatorChain" expanded="yes">
            <operator name="ModelApplier" class="ModelApplier">
                <list key="application_parameters">
                </list>
            </operator>
            <operator name="RegressionPerformance" class="RegressionPerformance">
                <parameter key="root_mean_squared_error"	value="true"/>
            </operator>
            <operator name="ProcessLog" class="ProcessLog">
                <list key="log">
                  <parameter key="generation"	value="operator.FeatureSelectionParallel.value.generation"/>
                  <parameter key="feature_name"	value="operator.FeatureSelectionParallel.value.feature_names"/>
                  <parameter key="performance"	value="operator.RegressionPerformance.value.root_mean_squared_error"/>
                </list>
            </operator>
        </operator>
    </operator>
</operator>