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execution-finality

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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

  • Updated Sep 10, 2026

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.

  • Updated Sep 6, 2026
  • Python

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.

  • Updated Sep 5, 2026
  • Python

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.

  • Updated Sep 10, 2026
  • Python

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