---
title: "Who cites Deep Aramaic: Towards a Synthetic Data Paradigm…"
description: "The papers of the Elamur Research library that cite «Deep Aramaic: Towards a Synthetic Data Paradigm Enabling Machine Learning in Epigraphy», found in…"
canonical: "https://research.elamur.ai/free/en/papers/hbo-2023-aioanei-deep-aramaic-towards-synthetic-data/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Deep Aramaic: Towards a Synthetic Data Paradigm…](https://md.research.elamur.ai/free/en/papers/hbo-2023-aioanei-deep-aramaic-towards-synthetic-data/) / cited by

# Who cites «Deep Aramaic: Towards a Synthetic Data Paradigm Enabling Machine Learning in Epigraphy»

2 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/hbo-2023-aioanei-deep-aramaic-towards-synthetic-data/)

1. [Zero-Shot SAM2 Segmentation and Vision Transformer-Based Recognition of Elamite Cuneiform Symbols from Degraded Tablet Images](https://arxiv.org/abs/2608.18544) *— 2026 · arXiv:2608.18544*
2. [CuReD: Deep Learning Optical Character Recognition for Cuneiform Text Editions and Legacy Materials](https://aclanthology.org/2024.ml4al-1.14/) *— 2024 · Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)*
