Claims, Not Facts: Building an Auditable Multi-Author Record for a House

说明与用途

ML Systems 构建了一个可审计的房屋记录，每条声明都带有来源、证据等级和验证状态。冲突按领域权威和证据解决，签名绑定到声明哈希，确保可审计性。

问题

Traditional building record systems store facts as immutable truth, which fails when multiple parties (homeowners, assessors, AI agents, custodians) provide conflicting information about the same house.

结果

The system produces a single auditable record per house that preserves all claims, reconciles conflicts by domain authority and evidence, and maintains verifiable audit trails through bound signatures and lapsing.

工作流

• Collect claims from all parties (homeowner, assessor, AI agents, staff, custodian).
• Assign each claim a source, evidence grade, and domain authority.
• Reconcile claims within each domain using evidence grade hierarchy.
• Determine reconciliation state (confirmed, reconciled, single-source, conflict, unverified).
• Stamp claims with independent verifications (homeowner, custodian).
• Bind each stamp to the claim’s hash to enforce auditability and trigger lapsing on edits.
• Generate review queue ordered by quarantine, lapsed, unverified, awaiting-stamp, unstamped, stamped.
• Present ledger record-first UI with verification glyphs and aggregated building envelope.
• Compress ledger into HomeGenome for compact collateral description.
• Use verified entries to support loan underwriting, salvage marketplace, and ontology licensing.

证据

The ledger’s job is not to pick a winner blindly. It is to reconcile by authority and evidence, and then record the outcome transparently — including the cases where reconciliation failed.

来源

Every verification stamp (VER:…) is bound to the content it signed, via an entryHash. Change the number and every signature on it lapses automatically.

来源