Presence Engine: Deterministic Identity at 0.007ms Latency (0.0006% Overhead)
Description
Presence Engine, a Logic-over-Model (LOM) substrate decoupling identity governance from probabilistic inference. Benchmark results show 0.007ms warm-path mean latency (p99: 0.016ms) across 50 runs, representing 0.0006% of full-turn cost (844.5ms inference). Deterministic vetoes achieve 100% integrity (6/6) with randomized corrections, proving dynamic regrounding. Cross-run CV of 7.96% confirms stability.
This demonstrates structured governance can be mathematically free, enabling persistent cognitive partnership without alignment tax.
Keywords: LOM, Presence Engine, deterministic AI, identity persistence, low-latency substrate, neuro-symbolic, stateful LLM, sovereignty veto, cognitive partnership, structural governance
Research Context: This work is a core component of the Presence Engine™ Living Thesis (DOI: 10.5281/zenodo.17280692).
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Additional details
Dates
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2026-03-18© Tionne Smith, All Rights Reserved
References
- Anthropic. What 81,000 People Want from AI. 2026. https://www.anthropic.com/features/81k-interviews
- Vaswani, A. et al. "Attention Is All You Need." Advances in Neural Information Processing Systems, 2017. https://papers.neurips.cc/paper/7181-attention-is-all-you-need.pdf
- OpenAI. GPT-4 Technical Report. 2023. https://arxiv.org/abs/2303.08774
- Ouyang, L. et al. "Training Language Models to Follow Instructions with Human Feedback." arXiv:2203.02155, 2022. https://arxiv.org/abs/2203.02155
- Sutton, R. S., Barto, A. G. Reinforcement Learning: An Introduction. 2nd ed., MIT Press, 2018. https://www.andrew.cmu.edu/course/10-703/textbook/BartoSutton.pdf
- LeCun, Y. "A Path Towards Autonomous Machine Intelligence." Open Review Draft, 2022. https://yschoe.github.io/2022/08/24/LeCun-A-path-towards-autonomous-machine-intelligence.html
- Smith, T. "Neve: A Presence‑First, Sovereignty‑Preserving Stateful AI Architecture" Antiparty Press, 2026. https://zenodo.org/records/18636873
- Smith, T. "Presence Engine™ Living Thesis: Building Human-Centric AIX™ (AI Experience)." Antiparty Press, 2025. https://zenodo.org/records/17280692
- Wang, J. et al. "Grounding the Score: Explicit Visual Premise Verification for Reliable Vision-Language Process Reward Models." arXiv:2603.16253, 2026. https://arxiv.org/abs/2603.16253