Runnable reference implementation of execution-finality for secure third-party AI assistant interoperability, with act-bound non-bearer authority and Finality Sink enforcement.
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Updated
Sep 19, 2026 - Python
Runnable reference implementation of execution-finality for secure third-party AI assistant interoperability, with act-bound non-bearer authority and Finality Sink enforcement.
Execution Finality for Agentic AI and Autonomous Systems: Across cloud computing, payments, telecom, operating systems, robotics, industrial control and critical infrastructure, AI may generate powerful actions—but generation should not equal authority. High-impact acts remain non-effective until protected validation and Finality-Sink verification
Low-overhead execution-finality reference implementation for protected AI/GPU model-state release with RATS mapping, bounded non-bearer authority, atomic state control, Finality Sink enforcement, and hardware-aware deployment paths.
Runnable reference implementation of execution-finality for LEO/NTN, ISL, beam, gateway, and payload RF enable. 77 tests across 7 consequence paths show non-effective candidate acts, sink-verified single-use authority, and fail-closed replay/substitution denial via a non-radiating simulator. Companion to draft-das-ntn-rf-execution-finality.
Runnable reference implementation of Candidate-Act-based execution-finality enforcement, with exact-act binding, non-bearer authorization, replay protection, Finality Sink verification, tests, and latency benchmarks.
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