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trustmem-hayula-paper
hayulalab/trustmem-hayula-paper
trustmem-hayula-paper is a machine learning model from hayulalab. 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 mit.
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Updated Jul 8, 2026
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At a glance
- License
- mit
- Access
- Public
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026
- SHA
- 4a427813
Model card
From the Hugging Face model README
Hayula Research Paper — Hayula Research
Hayula AI Lab
Abstract
We present TRUSTMEM-Hayula, an integrated approach combining TRUSTMEM's trustworthy memory consolidation with EvoTest's evolutionary self-improvement, deployed within the Siyaq context engineering framework. TRUSTMEM (arXiv:2606.25161) introduces a Memory Transition Verifier and preference-guided reinforcement learning that achieves 79% reduction in memory corruption by verifying transitions before consolidation. EvoTest (arXiv:2510.13220, ICLR 2026) introduces an Evolver Agent that analyzes exe
Files
| File | Description |
|---|---|
paper.md | Full paper (Markdown) |
README.md | This model card |
Citation
@techreport{hayulalab2026trustmemhayula,
title={Hayula Research Paper — Hayula Research},
author={Hayula AI Lab},
year={2026},
url={https://huggingface.co/hayulalab/trustmem-hayula-paper}
}
hayulalab — Open Source AI Research
- License
- mit
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026