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frequency-contagion
xiao-han-2026/frequency-contagion
frequency-contagion 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.
An empirical study of how emotional state propagates through LLM-generated responses. The paper shows that CDRA's constraint layer prevents the model from amplifying the user's emotional frequency while still allowing…
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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
- cf226a16
Model card
From the Hugging Face model README
Frequency Contagion in CDRA
An empirical study of how emotional state propagates through LLM-generated responses. The paper shows that CDRA's constraint layer prevents the model from amplifying the user's emotional frequency while still allowing it to acknowledge and contain it.
Key findings
- Untrained LLMs frequently mirror and amplify user emotional charge.
- CDRA's state classification + behavioral routing blocks the amplification path without flattening tone.
- Frequency contagion is a measurable, reproducible failure mode of default dialogue systems.
Files
Frequency_Contagion_EN_20260629.pdf— Formal paperFrequency_Contagion_EN_20260629.md— Markdown source
Citation
Apert (Jin/Daoqi) and Xiao Han. Frequency Contagion in CDRA: How LLMs Catch and Amplify User State. Zenodo, 2026.
License: CC-BY 4.0
Related work
- CDRA: 10.5281/zenodo.20993162
- Who Am I: 10.5281/zenodo.21056798
- License
- cc-by-4.0
- Languages
- en
- Created
- Jul 1, 2026
- Updated
- Jul 2, 2026