The actor's accumulated operational record — a consolidation of stored history that compounds with every run: firstSeenAt, totalRunsTracked, passingRuns, availabilityPct, regressionCount, avgDurationSec, avgResultCount, avgComputeUnits, currentConfidence, confidenceTrend, learnedCriticalFields[], learnedContract[], maintenancePressure, lastIncident, latestDecision, note. learnedCriticalFields are fields the actor has consistently returned (≥90% non-null over ≥3 runs) — their disappearance escalates to a breaking regression even without a declared fieldImportanceProfile. learnedContract[] is the per-field behaviour learned over time ({ field, presenceRate, runsSeen, classification: always/usually/optional }). maintenancePressure ({ level: low/elevated/high, reasons[] }) is a descriptive trajectory from declining confidence + rising regressions + runtime creep — not a forecast. lastIncident ({ startedAt, endedAt, runsAffected, recovered, recoveredAfterRuns }) is the most recent contiguous non-pass streak and whether the actor recovered. Null on cold-start.