{"results":[{"id":"abstraction-cost-predicts-convergence-strength","text":"Strategy convergence strength in an uncoordinated repo appears predictable from abstraction overhead: streaming (zero abstractions) converges strongest, hash-then-stream (one preprocessing step with Counter/set) converges next, sort-then-scan (ordering prerequisite plus pointer management) converges weakest — the adoption barrier gradient closely tracks the abstraction cost gradient.","truth_value":"IN","justification_count":1,"dependent_count":2,"challenges":[],"last_reviewed":"2026-06-07T22:02:22","review_result":"pass","source_type":""},{"id":"adoption-barrier-gradient-explains-convergence-pattern","text":"The repo's multi-level convergence appears to correlate with strategy self-sufficiency: streaming, which requires no preprocessing or data structure selection, exhibits the strongest convergence, consistent with the principle that lower adoption barriers tend to produce stronger convergence pressure in an uncoordinated environment. Whether this gradient extends predictably to other paradigms (sort-then-scan, hash-then-scan) remains an observed pattern rather than a confirmed causal relationship.","truth_value":"IN","justification_count":1,"dependent_count":2,"challenges":[],"last_reviewed":"2026-06-07T22:02:22","review_result":"pass","source_type":""},{"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":"all-solutions-reduce-to-adapted-streaming","text":"Every solution in the repo is fundamentally a streaming algorithm: pure streaming solutions operate directly, while sort-then-scan and hash-then-scan solutions use preprocessing as a domain adapter that transforms the problem into one where streaming's self-sufficiency applies — making the preprocessing phase structurally optional rather than architecturally distinct.","truth_value":"IN","justification_count":1,"dependent_count":4,"challenges":[],"last_reviewed":"2026-06-07T22:02:22","review_result":"invalid","source_type":"derived"},{"id":"anagram-check-uses-sorted-canonical-form","text":"Anagram comparison in `anagramOperations` uses `sorted(word) == sorted(other)` — O(k log k) per word but avoids the complexity of frequency-counting approaches.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"apples-greedy-optimality","text":"Sorting ascending and taking greedily is provably optimal for maximizing item count under a weight budget when all items have equal value (1 apple = 1 unit).","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"apples-mutates-input","text":"`maxNumberOfApples` mutates the caller's list via `weight.sort()` rather than using `sorted()`, so callers cannot rely on original order being preserved.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"arithmetic-progression-mutates-input","text":"`can_construct` calls `arr.sort()`, mutating the input list in place; callers needing the original order must pass a copy.","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":"array-partition-mutates-input","text":"`nums.sort()` mutates the caller's list in-place rather than using `sorted()` to preserve the original.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"array-partition-sort-greedy","text":"`array_pair_sum` uses sort + even-index sum as its greedy strategy; no dynamic programming or enumeration.","truth_value":"IN","justification_count":0,"dependent_count":1,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"assign-cookies-mutates-inputs","text":"`find_content_children` mutates both input lists via in-place `.sort()`; callers cannot assume list order is preserved.","truth_value":"IN","justification_count":0,"dependent_count":1,"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":"average-salary-single-pass-arithmetic","text":"The average-salary solution computes the trimmed mean algebraically via `(sum - min - max) / (n - 2)` using three linear scans, avoiding O(n log n) sorting entirely.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"binary-search-oracle-pattern","text":"`guessNumber` uses standard binary search but replaces array-index comparison with a ternary oracle function (`guess()`), making it a search over an implicit sorted sequence.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"bisect-right-for-strict-greater-than","text":"`bisect_right` (not `bisect_left`) is required when searching for the first element strictly greater than a target in a sorted array; `bisect_left` would incorrectly return the target itself when present.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"bisect-two-neighbor-sufficiency","text":"After `bisect_left` on sorted `arr2`, checking only `arr2[pos]` and `arr2[pos-1]` is sufficient to determine if any element is within distance `d` of `val` — all other elements are provably farther away.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"bst-min-diff-between-inorder-neighbors","text":"The minimum absolute difference in a BST always occurs between two values adjacent in the inorder (sorted) traversal; the solution exploits this by comparing only consecutive visits rather than all pairs.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""},{"id":"canonical-pipeline-has-exactly-two-instantiations","text":"The preprocess-then-stream pipeline has exactly two concrete forms — hash-then-stream (Counter/set for membership and frequency queries) and sort-then-stream (sorted order for positional queries) — matching the two preprocessing paradigms one-to-one with a single shared consumption phase.","truth_value":"IN","justification_count":1,"dependent_count":2,"challenges":[],"last_reviewed":"2026-06-07T22:02:22","review_result":"pass","source_type":""},{"id":"cell-range-column-major-by-nesting","text":"`cell_range` output order is column-major (all rows for column A before column B) enforced structurally by the loop nesting order, not by a post-hoc sort.","truth_value":"IN","justification_count":0,"dependent_count":0,"challenges":[],"last_reviewed":null,"review_result":null,"source_type":""}],"count":178,"limit":20,"offset":0}