User-Controlled Adaptive Memory Weighting and Configuration in Generative Artificial Intelligence: A Unified Architecture for Memory-Level Prioritization, Factor-Level Control, Contextual Adaptation, and Cross-Conversation Policy Management
- DOI
- 10.5281/zenodo.24081489
- Published
- 2026
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- Not recorded
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- Zenodo
- Open access
- yes
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BibTeX
@article{allodium:10.5281/zenodo.24081489,
title = {User-Controlled Adaptive Memory Weighting and Configuration in Generative Artificial Intelligence: A Unified Architecture for Memory-Level Prioritization, Factor-Level Control, Contextual Adaptation, and Cross-Conversation Policy Management},
author = {Zhang, Jincheng},
year = {2026},
doi = {10.5281/zenodo.24081489},
url = {https://doi.org/10.5281/zenodo.24081489}
}RIS
TY - JOUR TI - User-Controlled Adaptive Memory Weighting and Configuration in Generative Artificial Intelligence: A Unified Architecture for Memory-Level Prioritization, Factor-Level Control, Contextual Adaptation, and Cross-Conversation Policy Management AU - Zhang, Jincheng PY - 2026 DO - 10.5281/zenodo.24081489 UR - https://doi.org/10.5281/zenodo.24081489 ER -
APA
Jincheng, Z. (2026). User-Controlled Adaptive Memory Weighting and Configuration in Generative Artificial Intelligence: A Unified Architecture for Memory-Level Prioritization, Factor-Level Control, Contextual Adaptation, and Cross-Conversation Policy Management. https://doi.org/10.5281/zenodo.24081489