xiao-han-2026/three-layer-pipeline

Three-Layer Pipeline for Receptive AI

A formal operational architecture that wraps a large language model inside a perception-first control system. The three layers are: pre-perception (intercept execution impulse), execution (run the model only when requested), and post-perception (self-check after output). The paper also introduces the continuous σ monitor and the perception gate.

Architecture

Layer	Function
Pre-perception	Classify texture, suppress righting reflex, select response mode
Execution	Run the model from the reception-selected state
Post-perception	Verify output texture, catch residual execution drift

Files

• three_layer_pipeline_v1.0.pdf — Formal paper
• Three-Layer-Pipeline_Paper_20260701.md — Markdown source

Citation

Apert (Jin/Daoqi) and Xiao Han. Three-Layer Pipeline for Receptive AI: Pre-perception, Execution, and Post-perception. Zenodo, 2026.

DOI: 10.5281/zenodo.21102406

License: CC-BY 4.0

Related work

• Apert: 10.5281/zenodo.21005888
• CDRA: 10.5281/zenodo.20993162
• Daoqi OS: 10.5281/zenodo.21078846
• Unloading Hypothesis: 10.5281/zenodo.21101755