The slime mold analogy is very accurate: research begins by exploring multiple directions, then gradually strengthens the path supported by evidence, stopping other branches from entering subsequent reasoning, but still leaving traces of exploration.

ThoughtDAG currently deliberately leaves this strengthening and pruning to the user, rather than letting the model choose automatically (I think human-in-the-loop is important). I'm curious, in your prototype, is the path strengthened manually by the user, or is it done through model scoring or other signals?