First instinct was to just recurse and track depth, but the jumps aren't cumulative from root, they're sequential hops from wherever you currently are.
First, traverse the tree to find the target node while recording each node's parent and depth, or build a parent map via BFS/DFS. Then, starting from the target, repeatedly move up by the given jump offsets using the parent pointers, stopping if the jump would exceed the root. Collect and return the values of the nodes landed on.
Pro tip: Clarify whether the jump offsets are absolute levels or relative to the current node, and confirm if the target node itself should be included in the output. Also, discuss edge cases like empty tree, target not found, or jumps larger than the remaining depth.
Ask about input format, whether the tree is binary, if jumps are absolute or relative, and what to return if the target is missing or jumps exceed depth. Confirm if the target node is included in the result.
Use BFS or DFS to find the target node while storing parent pointers for each node (e.g., in a hash map). Alternatively, record the path from root to target to enable upward traversal.
Starting from the target, for each jump offset, move up that many levels using parent pointers. If the number of levels exceeds the remaining depth to the root, stop early and do not include that node.
Append the value of each node landed on to a result list. Ensure the order matches the sequence of jumps. Return the list.
Discuss time and space complexity: O(N) to build parent map, O(K) for K jumps, where K is number of offsets. Space O(N) for parent map. Consider if multiple queries or large trees require preprocessing.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.