Abstract: Distributional paging seeks a polynomial-time eviction rule that competes with the optimal \emph{online} policy $\mathrm{OPT}$ when requests come from a known stochastic source. Two algorithms by Lund, Phillips, and Reingold [FOCS, 1994] are canonical. Their randomized \emph{dominating distribution} algorithm, for Markov sources, evicts a page drawn from a distribution over the cache satisfying pairwise linear inequalities; their deterministic \emph{median} algorithm, for sources with independent inter-arrival times across pages, evicts the cached page with the largest lower median of its conditional next-request time. Their original guarantees of $4$ and $5$ were recently improved to $2$ and $4$ by Pabbaraju and Vakilian [ICALP 2025]. We show that neither improved constant can be reduced in its respective source model. For Markov paging, we give two complementary factor-$2$ lower-bound constructions, each with an explicit polynomial-time dominating selector. A directed-cycle family has ratio $2k/(k+1)$, while a recurrent four-page family with cache size three has ratio $2-4\varepsilon/3$. For the independent inter-arrival model, we show that the median algorithm is not $c$-competitive for any $c<4$. These are separate results for distinct stochastic models. Matching the known upper bounds, they establish tight competitive ratios of $2$ and $4$, respectively, improving on previous lower bounds of $1.5907$ and $1.511$.