Status: IN
The codebase systematically bounds resource consumption through two orthogonal fidelity-reduction strategies: deterministic truncation (bounded deques, version pruning, click history caps) silently drops the oldest data in time-ordered domains, while probabilistic approximation (Bloom filters, SimHash, HyperLogLog, Morris counters) tolerates statistical error in set-membership domains — together covering both sequential and presence/absence resource bounding.
deterministic truncation (time-ordered) and probabilistic approximation (set-membership) are complementary bounding strategies
Depends on (SL): memory-is-bounded-at-the-cost-of-silent-information-loss, probabilistic-dedup-trades-memory-for-coverage