Presence Engine v1.1 Cache-to-Cache State Transfer for Persistent Identity in Stateful AI Systems
Description
Presence Engine v1.0 established a Logic-over-Model (LOM) substrate achieving 0.007ms warm-path latency with 0.0006% structural overhead and 100% deterministic veto integrity (DOI: 10.5281/zenodo.19101284). This report introduces the v1.1 architecture extension: a three-layer cache-to-cache (C2C) state transfer protocol enabling persistent identity across session boundaries without model retraining or context window accumulation. We formalize the C2C transfer sequence, define the three memory layers (conversational, associative, dispositional), and specify the sovereignty gate behavior at cache read time. The central finding: continuity is a system property, not a model property. Identity persists because structure persists -- not because the model remembers.
Keywords: cache-to-cache transfer, C2C continuity, stateful Al, LOM, identity persistence, sovereignty gate, presence engine
Files
PresenceEngine_v1.1.pdf
Files
(126.5 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:675a6f762f4609fc39def21430b01014
|
126.5 kB | Preview Download |
Additional details
Identifiers
Related works
- Cites
- Report: 10.5281/zenodo.19101284 (DOI)
Dates
- Submitted
-
2026-04-09ResearchGate
References
- Smith, T. Presence Engine: Deterministic Identity at 0.007ms Latency (0.0006% Overhead). Antiparty Press, 2026. DOI: 10.5281/zenodo.19101284
- Smith, T. Presence Engine™ Living Thesis: Building Human-Centric AIX™. Antiparty Press, 2025. DOI: 10.5281/zenodo.17280692
- Smith, T. Neve: A Presence-First, Sovereignty-Preserving Stateful AI Architecture. Antiparty Press, 2026. DOI: 10.5281/zenodo.18636873
- Rubio Albacete, R. The Architecture of Authority in Autonomous Systems. Independent Researcher, March 2026. Author version v1.1
- Akech, A. The Presence Continuity Layer: A Model-Agnostic Identity and Memory Layer for AI Systems. Medium, March 2026
- Vaswani, A. et al. Attention Is All You Need. NeurIPS, 2017
- Anthropic. What 81,000 People Want from AI. 2026. https://www.anthropic.com/features/81k-interviews