Identity without anything to steal.
Four structural approaches to identity — none of which require a credential to be held, stored, or presented. Device identity, agent lineage, content provenance, and biological continuity, each derived from structural properties rather than secrets.
- PRIMITIVE
Stateless Device Pseudonymity and Secure Messaging in Cognition-Native Systems
Static keys and persistent credentials create fragility, correlation risk, and long-term attack surfaces. This article introduces a memory-native identity model using Dynamic Device Hashes and trust-slope validation — authentication and encrypted messaging emerge from continuity over time rather than possession of static secrets.
- PRIMITIVE
Trust Slope Entanglement: Cryptographic Lineage for Semantic Agents
Trust slope entanglement replaces credential-based authentication with cryptographically verifiable lineage. Instead of proving who an agent claims to be, systems validate how the agent evolved over time through policy-bounded, device-entangled mutations. Identity becomes a provable history rather than a static assertion.
- PRIMITIVE
Content Anchoring: Computable Identity for Media That Changes
Static hashes fail the moment content changes. Content anchoring identifies media by its entropy structure rather than its exact bytes — stable, mutation-aware identity that survives format conversion, cropping, re-encoding, and platform migration. The absence of legitimate lineage is itself the proof of forgery.
- PRIMITIVE
Continuity-Based Biological Identity Using Trust-Slope Validation
Traditional biometric systems treat identity as a static pattern to be matched. This article presents a continuity-based alternative in which biological identity is established through validated trajectories of biological signals accumulated over time — scalable, privacy-preserving, and without a biometric database to breach.
