/**
 * RL/data bridge.
 *
 * This subpath groups everything that turns eval output into training signal:
 * stable adapters/rewards, dataset packaging, trainer-format exporters,
 * process rewards, and closed-loop campaign research. Keeping it off the root
 * import path makes the default API smaller without hiding useful capability.
 */
/** Advanced budget allocation across (variant, scenario) cells. */
export * from './active-curriculum';
/** Advanced adaptation eval — does the policy actually learn from feedback? */
export * from './adaptation-eval';
/** Advanced scenario search for inputs the policy fails on. */
export * from './adversarial';
/** @stable Compute curves: best-of-N, self-consistency, Pareto frontier across budgets. */
export * from './compute-curves';
/** @stable Held-out perturbation probes for benchmark contamination (paired Wilcoxon). */
export * from './contamination';
/** @stable Durable corpus: every eval run appends graded trajectories by default; harvest → buildRlDataset (datasets for free). */
export * from './corpus';
/** @stable Publishable/sellable dataset bundle: format exporters + provenance + a Datasheet-for-Datasets card. */
export * from './dataset';
/** Trainer-format exporters (HuggingFace datasets, JSONL, parquet). */
export * from './exporters';
/** @stable Off-policy value estimation: IPS, SNIPS, doubly-robust. */
export * from './off-policy';
/** Researcher that re-weights rubrics by deployment outcome correlation. */
export * from './predictive-validity-researcher';
/** @stable (chosen, rejected) preference triples for DPO / KTO / PPO. */
export * from './preferences';
/** Step-level rewards and process-reward training pairs. */
export * from './process-reward';
/** Reward-hacking signatures: reward divergence, distribution shift, judge drift. */
export * from './reward-hacking';
/** Closed-loop campaign runner: eval → preferences → mutate → re-eval. */
export * from './rl-campaign';
/** @stable Canonical `RunRecord` adapters: trials → records, verification reports → records. */
export * from './run-record-adapters';
/** Simulator fidelity between simulated and production RunRecords. */
export * from './sim-fidelity';
/** @stable Bradley-Terry MLE + online Elo for pairwise tournament ratings. */
export * from './tournament';
/** @stable Verifiable reward extraction (compile / test / schema) with judge-noise filtering. */
export * from './verifiable-reward';
/** @stable In-memory + filesystem stores for deployment outcomes;
 *  consumed by `predictive-validity-researcher` to calibrate the gate
 *  against observed downstream metrics, not just held-out judge scores. */
export { type DeploymentOutcome, FileSystemOutcomeStore, type FileSystemOutcomeStoreOptions, InMemoryOutcomeStore, type OutcomeStore, } from '../meta-eval/outcome-store';
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