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@@ -30,6 +30,10 @@ Reproduces the approach of Hossain, Altarawneh & Roberts, ["Leveraging LLMs and
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  ML for Smart Contract Vulnerability Detection"](https://arxiv.org/abs/2501.02229),
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  IEEE CCWC 2025, on a smaller public dataset.
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  ## Usage
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  ```python
 
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  ML for Smart Contract Vulnerability Detection"](https://arxiv.org/abs/2501.02229),
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  IEEE CCWC 2025, on a smaller public dataset.
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+ **Code, training pipeline and full evaluation:** [github.com/Riicko-19/smart-contract-vuln-detector](https://github.com/Riicko-19/smart-contract-vuln-detector)
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+ — including a 5-seed variance study, a label-contamination analysis, and an
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+ adversarial out-of-distribution probe.
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+
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  ## Usage
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  ```python