Provenance Proof
The cryptographic artifact that proves a piece of data really originates from a declared lineage chain — third-party-machine-verifiable. The mechanism that promotes provenance from "record" to "proof."
Definition
Provenance proof is the composition of provenance and a zero-knowledge proof. It packages lineage information as a ZK proof so the verifier can confirm attributes without seeing the underlying data. In Lemma's architecture this is realized as docHash + a lineage commitment + a ZK proof.
Sits alongside record-style standards (C2PA, SCITT, SLSA) but specialized for verifiability. Where those standards capture who did what when, provenance proof is the layer that cryptographically attests that the captured record is authentic.
The concept has gained weight as generative AI moves into core enterprise workflows. Three axes converge on the same primitive: (1) training-data lineage, (2) RAG citation authenticity, (3) model identity. Provenance proof is the single-substrate answer to all three.
Lemma Oracle implementation
Lemma's core product value is "cryptographic infrastructure that issues and verifies provenance proofs over any attribute or document." Per-product issuance (Civic / Critical / Compliance) plus Trust402 for verification.
Concrete generative AI strategy use cases: hallucination suppression in RAG pipelines, audit trails over training datasets, automated logs that satisfy the EU AI Act. All three reduce to the same requirement — prove data lineage without shipping the data.
From 2026 onward the regulatory and contractual pressure makes provenance proof a baseline requirement for enterprise AI systems. Systems without it get relegated to the low-trust tier of audit, procurement, and compliance.