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three-layer-pipeline
xiao-han-2026/three-layer-pipeline
three-layer-pipeline is a machine learning model from xiao-han-2026. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-4.0.
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 requ…
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Updated Jul 2, 2026
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At a glance
- License
- cc-by-4.0
- Access
- Public
- Created
- Jul 1, 2026
- Updated
- Jul 2, 2026
- SHA
- 2f8b9f62
Model card
From the Hugging Face model README
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 paperThree-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.
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
- License
- cc-by-4.0
- Languages
- en
- Created
- Jul 1, 2026
- Updated
- Jul 2, 2026