LSTM with auxiliary data achieves abismal results
Is there a reason why this new information has to be a part of your model? There's no rule that says that all data must be fed into your model. Maybe you have just found a feature that shouldn't be included in your predictive phases? And if so, that's perfectly fine, there is nothing wrong with that.