{"results":[{"id":"algorithmic-coherence-emerges-without-engineering","text":"Despite zero cross-solution coordination and no consistency enforcement, solutions independently converge on two dominant paradigms (streaming and sort-then-scan), demonstrating that LeetCode's problem domain naturally constrains the algorithmic solution space.","truth_value":"IN","justification_count":1,"dependent_count":4,"challenges":[],"last_reviewed":"2026-06-07T22:02:22","review_result":"pass","source_type":""},{"id":"alternating-bits-o1","text":"`has_alternating_bits` runs in O(1) time and space with no loops or string conversion — pure arithmetic on two intermediate values.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"arithmetic-progression-sort-then-scan","text":"`can_construct` sorts the input then verifies constant consecutive difference in one pass — O(n log n) time, O(1) extra space beyond the sort.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"assign-cookies-zero-extra-space","text":"The two-pointer algorithm uses O(1) auxiliary space beyond the in-place sort — no heaps, hash maps, or copied arrays.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"backspace-compare-reverse-two-pointer-o1-space","text":"The backspace-string-compare solution uses reverse traversal with a skip counter instead of a stack, achieving O(1) auxiliary space and O(n+m) time for comparing two backspace-processed strings.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"balanced-substring-single-pass-counter","text":"`longestBalancedSubstring` uses a single-pass O(n) time, O(1) space counter technique — tracking running counts of consecutive zeros and ones — rather than checking all substrings or using groupby.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"binary-search-on-value-pattern","text":"`is_perfect_square` binary-searches the range `[1, num]` for a value whose square equals `num`, achieving O(log n) time and O(1) space with no library calls.","truth_value":"IN","justification_count":0,"dependent_count":1,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"box-category-trailing-space","text":"All `boxCategory` return values include a trailing space character, matching the LeetCode problem's expected output format — this is intentional, not a bug.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"boyer-moore-constant-space","text":"The Boyer-Moore implementation uses exactly two scalar variables (`candidate`, `count`) — O(1) auxiliary space regardless of input size.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"bst-inorder-no-materialized-list","text":"The BST minimum-difference solution computes the answer in O(h) stack space during traversal without collecting all node values into a list first.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"build-array-in-place-modular-encoding","text":"`buildArray` encodes two values per slot as `original + n * new_value`, recoverable via `% n` (original) and `// n` (new value), achieving the O(1) extra space follow-up challenge.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"buy-sell-stock-single-pass-greedy","text":"`maxProfit` runs in O(n) time and O(1) space by tracking the running minimum price — a Kadane's-style greedy pattern.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"calpoints-linear-time","text":"`calPoints` runs in O(n) time and O(n) space, where n is the number of operations.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"calpoints-strip-defensive","text":"The `op.strip()` call in `calPoints` is a defensive guard against whitespace that LeetCode inputs never contain.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"check-double-linear-complexity","text":"`checkIfExist` runs in O(n) time and O(n) space via single-pass iteration with hash set lookups","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"circular-sentence-no-split","text":"`is_circular` checks circularity by scanning for spaces as word boundaries rather than calling `str.split()`, achieving O(n) time and O(1) auxiliary space.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"circular-sentence-space-boundary-invariant","text":"The circular-sentence algorithm assumes spaces never appear at position 0 or `len(sentence)-1`; indexing `sentence[i-1]` and `sentence[i+1]` around spaces would produce wrong results or IndexError if this invariant is violated.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"circular-sentence-wrap-check-separate","text":"The wrap-around condition (`sentence[0] != sentence[-1]`) is checked as an independent early-exit before the space-boundary loop, not unified into the main scan.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"climbing-stairs-constant-space","text":"The climbing-stairs solution uses two rolling variables (`a`, `b`) with tuple swap instead of an O(n) DP array, achieving O(1) auxiliary space.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"closest-value-o-h-time-o1-space","text":"`closestValue` visits at most one node per tree level via iterative BST-directed search, making it O(h) time and O(1) space (no recursion stack).","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""}],"count":171,"limit":20,"offset":0}