--- uai: "1.0" type: topic-memory status: active project: iarpg.com release: "IARPG-OPS-2" version: "2.0.29-wip" review_state: current-until-superseded --- # Information Asymmetry ## Purpose Make role-specific knowledge visible and intentional. ## Current doctrine - At the same operation moment, roles may hold different verified facts, assumptions, source identities, and authority. - The viewer must explain why information is withheld and when it may be handed off. - No role may silently receive omniscient server knowledge. ## Shared Constraints - Apply [repository constraints](constraints.uai#non-negotiable-constraints). ## Relevant standards - https://iarpg.com/standard/roles-and-information-asymmetry - https://iarpg.com/standard/information-asymmetry-disclosure - https://iarpg.com/standard/role-handoffs ## Relevant mission examples - https://iarpg.com/mission/port-access-anomaly-investigation - https://iarpg.com/mission/internal-leak-counterintelligence-review ## Deep report links - [Intelligence Operative Archetypes and Tradecraft](../docs/long-term-memory/reports/intelligence-operative-archetypes-and-tradecraft.md#humint-operatives) - [Systemic Subterfuge: Architecting a Geopolitically Neutral, Classless Espionage MMO](../docs/long-term-memory/reports/systemic-subterfuge-architecting-a-geopolitically-neutral-classless-espionage-mmo.md#architectural-pillar-v-intelligence-as-the-apex-economic-primitive) ## Related UAI records - [roles.uai](roles.uai) - [evidence-model.uai](evidence-model.uai) - [counterintelligence.uai](counterintelligence.uai) ## Source-Chain and Transparency Boundary Transparent systems may produce more public disputes, corrections, legal records, and oversight findings than opaque systems. Treat this as evidence of visibility and institutional friction, not automatic proof of worse conduct. Count evidence origins, preserve missing records as uncertainty, and do not fill opaque gaps with major-power analogies or unsupported attribution. Deep links: [evidence-attribution source-chain test](evidence-attribution.uai#source-chain-independence) and [durable source-independence finding](../docs/long-term-memory/reports/evidence-attribution-oversight-and-leaderless-network-research-integration-report.md#attribution-is-layered-not-binary).