feat(Probability): bound statistical distance under scores, conditioning, and pairing - #1066
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…ing, and pairing Adds the standard ways statistical distance enters reductions, for finite types. Changing the distribution moves the expectation of a score bounded by `B` by at most `2 * B * dist p q` (`abs_sum_mul_sub_le`). Conditioning on an event changes a distribution by exactly the probability it discards (`dist_filter`). With a shared revealed input, statistical distance is the average distance of the conditional outputs (`dist_bind_pair`), and its square is at most the average squared distance (`dist_bind_pair_sq_le`).
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Deferred from the CSLib crypto stack. The remaining proposed developments do not use these bounded-score, conditioning, or pairing lemmas.
The implementation is preserved on this branch for later entropy and hashing work, with upstream placement reconsidered alongside those consumers.
Originally composed with Claude Code.