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Research.

A log of systems designed, written, and deployed under tight research constraints.

Each entry represents a complete solution—focused on clean engineering architecture, deterministic code pathways, and resolving real-world security or optimization bottlenecks.

01 · Publications

2

Active projects and past entries submitted to developer researchs.

February 2026 Zenodo (Preprint)
LogicGuard: A Neuro-Symbolic Middleware for Deterministic Hallucination Interception in Large Language Models Using Aristotelian-Avicennian Syllogistic Frameworks 📄

Large Language Models (LLMs) generate fluent, open-ended text, but lack built-in mechanisms to enforce logically necessary inferences. LogicGuard is a hybrid neuro-symbolic middleware that enforces deterministic logical constraints on LLM outputs by operationalizing the syllogistic framework (Qiyas) developed by Ibn Sina. Evaluated on LLaMA2-7B, Mistral-7B, and LLaMA3.2-3B, LogicGuard achieved 100% precision and specificity with zero false positives.

Neuro-Symbolic AI LLMs BFS Graph Validation

02 · Pipeline

More coming soon

Future submissions and optimization projects will be logged here in real-time.