/**
 * profile-temporal — publication trajectory + hot-streak detection (#1501).
 *
 * Port of profiles/temporal_analysis.py (stdlib): per-year paper counts, topic
 * drift (cosine distance between consecutive-year topic vectors), hot-streak
 * detection (≥3 consecutive years with ≥1 A-grade paper, Fortunato 2018),
 * career-phase classification, and trajectory trend. Reuses the #1497 parser
 * (year + topics) + the analysis-doc GRADE reader.
 *
 * @source historical: profiles/temporal_analysis.py
 */
export interface AnnualDatum {
    year: number;
    paperCount: number;
    grades: string[];
    topTopics: string[];
    topicDrift: number | null;
    hasAGrade: boolean;
}
export interface HotStreak {
    startYear: number;
    length: number;
    active?: boolean;
}
export interface Trajectory {
    profId: string;
    annualData: AnnualDatum[];
    hotStreak: HotStreak | null;
    careerPhase: 'early' | 'mid' | 'senior' | 'unknown';
    trajectoryTrend: string;
    firstYear: number | null;
    lastYear: number | null;
    totalPapers: number;
}
/** Compute the temporal trajectory for one PROF-P/PROF-O profile. */
export declare function computeTrajectory(corpusRoot: string, profId: string, asOfYear?: number): Trajectory;
/** Render a trajectory as a markdown summary + the §7 year table. */
export declare function renderTrajectory(t: Trajectory): string;
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