/**
 * cost — the SECOND score of two-score localization (proposal 004).
 *
 * A context bug costs you twice: a wrong ANSWER (the flip `verdict`, the strong
 * causal tier) OR extra COST — loops/tokens — even when a capable model recovers
 * and answers correctly. This module reads the cost score from the SAME ablation
 * reruns (`AblationRunStats.cost`, captured in `runAblationProbe`) and attaches a
 * `CostVerdict` to each suspect, then classifies each on the 2×2.
 *
 * HONEST TIER (the two-lens review): the cost score is a WEAKER, gated tier than
 * the flip. Removing a piece reducing cost shows **necessity for the cost, NOT
 * that the work was "wasted"** (the piece could be load-bearing scaffolding). So:
 *   - PLACEBO control — a cost cause must beat the loops-saved of pieces whose
 *     removal did NOT flip the answer (benign path variance), leave-one-out;
 *     (v1 limitation: the placebo population is the non-flipping suspects, which
 *     may themselves include real cost causes — so the band's MAX is CONSERVATIVE
 *     and UNDER-detects when several pieces reduce cost by similar amounts. Safe
 *     direction for a causal-ish claim. A dedicated neutral-filler placebo is v2.)
 *   - STABILITY — every ablated rerun used no MORE loops than baseline
 *     (consistent reduction; an integer ±1 delta is brittle — determinism ≠
 *     robustness), AND a placebo band existed to clear.
 */
import type { AblationRunStats, Suspect, SuspectClass } from './types.js';
/** Minimum loops saved (over the placebo band) to call a piece a cost cause. */
export declare const MIN_LOOPS_SAVED = 1;
/**
 * Attach a `CostVerdict` to each suspect from the ablation reruns + a
 * leave-one-out placebo control. Suspects without cost data are returned
 * unchanged (quality-only). See the module honesty note.
 */
export declare function assignCostVerdicts(suspects: readonly Suspect[], baseline: AblationRunStats): Suspect[];
/**
 * Derive the 2×2 class from the flip verdict (quality) and the cost verdict.
 * The no-bug cell is `'no-detected-effect'` — never "innocent" (a piece can
 * matter in ways neither axis sees: overdetermination, same-loops-different-path).
 */
export declare function classifySuspect(suspect: Suspect): SuspectClass;
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