/**
 * Research note serializer — PURE markdown note builder for multi-model research runs.
 *
 * PURE / NO fs / NO network / NO Date.now()
 * All timestamps are injected parameters; the wall clock is read ONLY at the CLI boundary.
 *
 * Mirrors src/medical/research/research-note.ts in structure.
 * Uses serializeFrontmatter (scalars + string-arrays ONLY — never pass objects).
 */
import type { ResearchJob } from "./types.js";
/**
 * Derive the canonical path for a research note under the vault.
 * Output: <vaultRoot>/research/<YYYY-MM-DD>-<marker>.md
 * Date is sliced from the injected ISO string — never wall-clock.
 */
export declare function researchNotePath(vaultRoot: string, marker: string, now: string): string;
/** One labelled model answer collected by the runner. */
export interface ModelContribution {
    /** Canonical model label, e.g. "openai-compat/deepseek". */
    label: string;
    /** The model's answer text. */
    text: string;
}
/**
 * Serialize a multi-model research run into a vault note string.
 *
 * Frontmatter fields (all required by sc-2-2):
 *   title, jobId, question, models (string[]), generatedAt, domain, type, status
 *
 * Body: per-model contribution sections — records WHICH model label produced each answer.
 *
 * PITFALL: models must be string[] (labels), never RoleProviderBlock[].
 * serializeFrontmatter renders nested objects as "[object Object]".
 */
export declare function serializeResearchNote(job: ResearchJob, labels: string[], contributions: ModelContribution[], now: string, sources?: string[]): string;
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