Warrant · S01 · E02
Type: document · Reliability: high · Collected: 2026-06-03T00:00:00.000Z
Citation: NIST AI Risk Management Framework 1.0 (Jan 2023) and AI 600-1 (Jul 2024), gap analysis by Summit Cognitive.
"Decision Receipt fills all four NIST AI RMF gaps: GOVERN via deny-by-default policy enforcement with signed receipt, MAP via evidence bundle capturing full decision-time context, MEASURE via deterministic replay from sealed evidence, MANAGE via portable Ed25519-signed receipt for independent verification."
Type: document · Reliability: high · Collected: 2026-06-03T00:00:00.000Z
Citation: Summit Cognitive internal competitive landscape analysis, June 2026.
"No deployed product treats AI decision accountability as an infrastructure layer with a portable, verifiable output artifact. Adjacent tools record THAT a decision occurred or generate new explanations — none produce a sealed, replayable proof."
Type: document · Reliability: high · Collected: 2026-06-04T00:00:00.000Z
Citation: Decision Receipt public architecture derived from U.S. Provisional Patent Application No. 64/034,952 abstract and decrec.summitcognitive.ai verification endpoint.
"A Decision Receipt is a portable, cryptographically signed artifact that captures the complete accountability record for a single AI-assisted decision. Based on the public patent abstract, a receipt contains five layers: evidence bundle, policy enforcement record, competing hypotheses, Ed25519 signature, and deterministic replay capability."
Type: document · Reliability: high · Collected: 2026-06-04T00:00:00.000Z
Citation: RFC 8032 (Edwards-Curve Digital Signature Algorithm) and NIST FIPS 186-5 (Digital Signature Standard).
"Ed25519 provides deterministic signatures, 128-bit security, fast verification (~71,000 verifications/second), and 64-byte signatures with 32-byte public keys. Any party with the public key can verify a receipt without contacting the issuing system."
Type: document · Reliability: high · Collected: 2026-06-04T00:00:00.000Z
Citation: Summit Cognitive internal analysis of deterministic replay for AI decision accountability, June 2026.
"An audit log records that a decision was made. Post-hoc explainability generates a NEW inference to explain a PAST decision. Deterministic replay seals the evidence bundle at decision time and allows re-execution to produce the same outcome — transforming a record into a proof."