Institutional Disclosure: This repository serves as a historical and technical bridge for the public, journalists, and engineers. Full mathematical formalisms and legal filings are indexed at temporalgovernance.org.

🏛️ INDEPENDENT RESEARCH MILESTONE

Originator of Dynamic Behavioral Telemetry (2003) — the world’s first white‑box dynamic pricing and behavioral signal architecture that later underpinned trillion‑dollar black‑box AI systems.

Creator of the first EU AI Act–aligned deterministic governance substrate (2026) — a temporal‑physics spine for Autonomous AI, built entirely outside Big Tech silos and extending a 23‑year neutral architectural lineage.

Beginning in 2003, I built the first Dynamic Behavioral Telemetry system — a white‑box temporal‑decay architecture that replaced static scoring with real‑time behavioral physics.

This repository serves as a historical and technical bridge for engineers, researchers, journalists, and standards bodies.
Full documentation and legal filings are indexed at temporalgovernance.org.

Beginning in 2003, I developed the first Dynamic Behavioral Telemetry system — a white‑box temporal‑decay architecture replacing static scoring with real‑time behavioral physics. This primitive became the conceptual ancestor of modern trillion‑dollar black‑box AI pricing and risk engines.

Over two decades, this lineage expanded into:

• deterministic temporal‑physics substrates
• identity‑lineage frameworks
• synthetic‑data provenance systems
• safety‑conditioned orchestration layers
• regulator‑auditable governance envelopes

By 2026, this work matured into the first EU AI Act–aligned deterministic governance spine for Autonomous AI — a neutral, FRAND‑aligned architecture built entirely outside Big Tech silos.

The Temporal Governance Layer is designed to remain interoperable with emerging quantum‑secure primitives, including:

• quantum‑origin randomness
• post‑quantum cryptographic keys
• logical‑qubit verification envelopes
• secure multi‑party computation

These primitives are optional substrates that strengthen identity binding, temporal‑state verification, and audit‑grade provenance without altering core governance physics.
This interlock is conceptual and non‑enabling, ensuring full IP protection while signaling compatibility with hyperscaler quantum‑security roadmaps and standards‑body requirements for post‑quantum accountability.

Dario Chang — Originator of the 2003 White‑Box Temporal Substrate (US20040133469A1)
Architect of the Unified Governance Spine for Autonomous AI‑2 Systems

Temporal Governance provides the missing deterministic layer for autonomous systems — anchoring AI‑2 behavior to measurable actions, verifiable histories, and regulator‑grade auditability.
These capabilities do not exist in probabilistic inference stacks and cannot be inferred from model outputs alone.

Between 2003–2004, two independent paradigms emerged:

Deterministic signal physics for real‑time behavioral telemetry.

Probabilistic vector matching, CTR × Bid × Quality scoring.

Patent examiners repeatedly cited US20040133469A1 as relevant behavioral prior art.
Industry converged on the same pattern:

Cycle Hit → History → Score → Rotation → Placement → Settlement

Modern digital infrastructures evolved from systems requiring measurable behavior, dynamic ranking, state management, and auditable histories. Autonomous AI introduces the need to govern:

• sequences of actions
• evolving behavioral histories
• authorization changes
• reconstructable execution evidence

Temporal Governance proposes a vendor‑neutral architecture built on:

• temporal scoring
• behavioral history
• controlled state transitions
• auditable execution

Its lineage begins with US20040133469A1 and extends through governance‑layer primitives, autonomous‑agent controls, and compliance‑oriented operating architectures.

GoTo.com / Overture introduced paid‑search ranking.

The documented origin of temporal‑scoring lineage.

Industry shift toward predictive scoring and adaptive optimization.

Event ingestion, historical vectors, predictive scoring, experimentation.

Embeddings, feature stores, pipelines, continuous evaluation.

25 USPTO filings + EP26188264.1 + EP26188282.3
Governance‑layer primitives, identity envelopes, behavioral ingestion pipelines, IPS engines, proof‑exchange protocols, deterministic settlement.

Technical mechanisms relate to:

• EU AI Act — Articles 9, 12–15, 50
• NIST AI RMF — governance, measurement, monitoring
• ISO/IEC JTC 1 SC 42 — AI governance
• ETSI ISG ARI — AI risk

Alignment is architectural, not legal determination.

Temporal Governance is:

• vendor‑neutral
• runtime‑independent
• compatible with NVIDIA OpenShell and other agent runtimes
• designed to complement existing security and compliance controls

The model separates governance logic from runtime execution, enabling reproducible, auditable, interoperable temporal state.

The architectural lineage is documented through published patents.
Claim scope and legal status must be verified via official registers.

A FRAND‑based licensing approach may be considered for future standardization.

Objective: a reproducible, auditable, interoperable temporal governance layer for autonomous AI.

Mechanisms support alignment with:

• Art 5 — prohibited behavior detection
• Art 7 — high‑risk classification
• Art 9 — risk management
• Art 12 — logging, traceability, deterministic replay
• Art 13 — transparency, regulator‑auditable artifacts
• Art 15 — robustness, safety envelopes
• Art 50 — regulator access

These are technical enablers, not legal compliance claims.

This repository documents the published patent lineage behind Temporal Governance — a vendor‑neutral architecture for:

• identity binding
• policy‑conditioned state transitions
• behavioral prediction
• multi‑agent orchestration
• provenance
• privacy‑preserving computation
• verifiable proofs
• deterministic settlement

The work extends the temporal‑scoring primitives introduced in US20040133469A1 into a modern governance layer for autonomous AI systems.
All materials are conceptual and non‑enabling, intended for research, evaluation, interoperability, and potential standardization under frameworks such as the EU AI Act and NIST AI RMF.

Dario Chang — Independent Inventor
Founder, Telemetric (2003) — Miami, FL
U.S. and EU Citizen
Originator of the world’s first EU AI Act–aligned deterministic temporal‑physics governance architecture.

This repository documents the published patent lineage behind Temporal Governance — a vendor‑neutral architecture for identity binding, policy‑conditioned state transitions, behavioral prediction, multi‑agent orchestration, provenance, privacy‑preserving computation, verifiable proofs, and governed digital‑market settlement. The work extends the temporal‑scoring primitives introduced in US20040133469A1 into a modern governance layer for autonomous AI systems, integrating identity envelopes, governance graphs, global state machines, behavioral ingestion pipelines, IPS‑conditioned trust scoring, proof‑exchange protocols, and deterministic settlement engines. These materials are conceptual and non‑enabling, intended to support research, evaluation, interoperability, and potential standardization under frameworks such as the EU AI Act and NIST AI RMF.

Dario Chang — Independent Inventor, Founder Telemetric (2003) — Miami, FL — U.S. Citizen The world's first EU AI Act compliance architecture built on deterministic temporal physics.