Branching paths represent alternative token candidates that exceed a defined confidence threshold instead of being selected as the top prediction. By appending each alternative token to the preceding text prefix and prompting the model to complete the phrase, the system uncovers latent sub-associations that would otherwise remain hidden behind standard greedy decoding.