Within the proposed ARCANA framework, two distinct attention mechanisms are implemented. The first, termed additive attention, is also known as Bahdanau attention 8 . This mechanism aligns the hidden state of the decoder ht at each time step t with the hidden states of the encoder (hs), thus producing a context vector that encapsulates the weighted relevance of each historical temporal segment from the past cycles. This vector provides a dynamically focused representation of the input sequence pertinent to the current decoding step.