/**
 * Cross-encoder reranking via the embsearch daemon.
 *
 * The deterministic reranker in `rerank.ts` scores candidates with lexical
 * evidence — term coverage, path affinity, whether the window declares a query
 * term. That took Recall@1 from 0.10 to 0.24 and then stopped paying: a
 * term-proximity signal aimed at the classes it still handles worst moved
 * nothing (p = 1.00 on every metric).
 *
 * What is left is a ranking problem the lexical view cannot see. Across the
 * 62-query gold set the right span reaches the fused top-50 far more often
 * than the top-10, so the candidates are in hand and merely ordered badly. A
 * cross-encoder reads the query and the candidate *together*, which is exactly
 * the evidence term counting lacks.
 *
 * It is also far more expensive — one model pass per candidate, with no
 * precomputation possible — so it runs over a shortlist and its depth is
 * capped separately from the fused window.
 */
import type { EmbsearchService } from "../embsearch/embsearch-service.js";
import type { FusedCandidate } from "./types.js";
/**
 * Candidates sent to the cross-encoder per query.
 *
 * Each one is a model pass, so this is a latency dial, not a quality dial:
 * every candidate past here keeps its fused order rather than being scored.
 */
export declare const CROSS_ENCODER_DEPTH = 30;
export interface CrossRerankResult {
    candidates: FusedCandidate[];
    latencyMs: number;
    /** How many candidates the model actually scored. */
    scored: number;
}
/**
 * Reorder `candidates` by cross-encoder relevance.
 *
 * Only the first {@link CROSS_ENCODER_DEPTH} are scored; the remainder keep
 * their incoming order and follow. Candidates whose window cannot be read are
 * left unscored for the same reason — there is no text to give the model, and
 * inventing one would score a fiction.
 */
export declare function crossEncoderRerank(query: string, candidates: readonly FusedCandidate[], cwd: string, service: EmbsearchService): Promise<CrossRerankResult>;
//# sourceMappingURL=cross-rerank.d.ts.map