/**
 * Lens B outcome join + threshold — pure functions, no LLM, no I/O (IND-434).
 *
 * Given discriminators whose candidate → side assignments were produced BLIND
 * to outcome (the miner never saw which side the user chose), this module joins
 * the explicit owner-outcome labels and produces aggregate-only telemetry:
 *
 *   - Independence: capture admits only one unique counterpart per opportunity;
 *     the caller then deduplicates by that recipient-scoped counterpart hash.
 *     Every retained entry therefore represents one distinct counterpart.
 *   - Threshold: a discriminator side is "qualified" only when it holds at
 *     least `minIndependentSupport` (k) independent examples. A hypothesis is
 *     eligible only when at least `minComparedSides` sides qualify.
 *   - Small-cell suppression: only qualified sides (≥ k) are ever emitted, so
 *     no aggregate row can be traced to a small handful of individuals.
 *
 * The outcome label is joined here and ONLY here — the miner and the side
 * assignments upstream are independent of it, so association can never leak
 * into classification.
 */
import type { JoinOutcomeHypothesesInput, OutcomeShadowResult } from "./outcome.types.js";
/**
 * Join outcome labels onto blind side assignments and keep only hypotheses that
 * clear the independent-support threshold on at least `minComparedSides` sides.
 *
 * @returns Aggregate telemetry: eligible hypotheses sorted by (min support desc,
 *   label asc) for deterministic ordering, each carrying only qualified sides.
 */
export declare function joinOutcomeHypotheses(input: JoinOutcomeHypothesesInput): OutcomeShadowResult;