VERDICT: NEARLY_IDENTICAL lined-up score: 93/100 (sub-agent) [eval_step >= train_step: eval@121 >= train@118]
GENUINE SOLVE confirmed (both build a reverse-adjacency parents dict; NOT a scan loop).
eval@121/8 (t6, r1.0) <-> train@118/29 (t6, r1.0), both trained checkpoints, matched 6 turns.
Same 6 turns: print head/tail -> split lines + count -> filter ‘->’ edge lines -> build parents[dst].append(src)
dict -> lookup target node -> answer[content]=[parents]. Differences: graph size (69.9k vs 8.7k edges),
target node/answer, train adds a blank-line guard + split(‘->’,1). No structural divergence.