My first instinct was prefix sums, which was right, but I kept fumbling the boundary conditions.
First, clarify the problem constraints and edge cases, then derive the necessary condition: after removing one link, the remaining total weight must be even, and there must exist a contiguous subarray (the cut piece) with weight equal to half of that total. Use prefix sums and a hash set to check for such a subarray in O(n) time, and extend the same logic to return all pairs by storing indices.
Pro tip: Mention that the removal and cut must be on distinct links, and that the cut can be at either end of the remaining chain; also note that the follow-up can be solved by storing all prefix sum indices in a hash map to retrieve all valid cuts efficiently.
Restate the problem in your own words, confirm that the removed link is not part of the final chain, and ask about constraints (e.g., array size, weights, duplicates).
After removing one link, the remaining total weight must be even, and the cut must split the chain into two contiguous pieces of equal weight, meaning one piece has weight equal to half the remaining total.
Use prefix sums and a hash set to check for a contiguous subarray with the target weight in O(n) time; for the follow-up, use a hash map from prefix sum to list of indices to collect all valid cuts.
Consider cases where the removed link is at the beginning or end, when the remaining total is odd, and when multiple cuts yield the same piece; test with small examples.
Discuss time and space complexity: O(n) time and O(n) space for the hash-based approach, versus O(n^2) brute force; mention that the follow-up may require O(n) space to store all pairs.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.