---
title: "Who cites HIAST at QIAS 2025: — 4 citing papers"
description: "4 papers of the Elamur Research library cite «HIAST at QIAS 2025: Retrieval-Augmented LLMs with Top-Hit Web Evidence for Arabic Islamic…"
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---
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# Who cites «HIAST at QIAS 2025: Retrieval-Augmented LLMs with Top-Hit Web Evidence for Arabic Islamic Reasoning QA»

4 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «HIAST at QIAS 2025: Retrieval-Augmented LLMs with Top-Hit Web Evidence for Arabic Islamic Reasoning QA»](https://md.research.elamur.ai/free/en/papers/hamed-2025-hiast-qias-2025-retrieval-augmented/)

1. [**MAWARITH: A Dataset and Benchmark for Legal Inheritance Reasoning with LLMs arXiv:2603.07539**Abdessalam Bouchekif; Shahd Gaben; Samer Rashwani; Somaya Eltanbouly; Mutaz Al-Khatib; Heba Sbahi; Mohammed Ghaly;, Emad Mohamed*2026 · 9 citations*](https://md.research.elamur.ai/free/en/papers/bouchekif-2026-mawarith-dataset-benchmark-legal-inheritance/)
2. **[QIAS 2026: Overview of the Shared Task on Islamic Inheritance Reasoning](https://md.research.elamur.ai/free/en/papers/bouchekif-2026-qias-2026-overview-shared-task/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Abdessalam Bouchekif, Somaya Eltanbouly, Shahd Gaben, et al.*2026 · 3 citations*
3. **[Silah at QIAS 2026: Fine-Tuning vs. Retrieval-Augmented Generation for Islamic Inheritance Reasoning](https://md.research.elamur.ai/free/en/papers/kurdi-2026-silah-qias-2026-fine-tuning/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Ghader Kurdi, Hanan Justanieah, Hala Justanieah*2026 · 2 citations*

1 more paper of our library cites it; it has no page here yet.

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