---
title: "Who cites CodeHacker: Automated Test — 7 citing papers"
description: "7 papers of the Elamur Research library cite «CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive…"
canonical: "https://research.elamur.ai/free/en/papers/shi-2026-codehacker-automated-test-case-generation/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [CodeHacker: Automated Test Case Generation for…](https://md.research.elamur.ai/free/en/papers/shi-2026-codehacker-automated-test-case-generation/) / cited by

# Who cites «CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions»

7 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions»](https://md.research.elamur.ai/free/en/papers/shi-2026-codehacker-automated-test-case-generation/)

1. **[VulAgent: Hypothesis-Validation Driven Multi-Agent Architecture for Vulnerability Detection](https://md.research.elamur.ai/free/en/papers/wang-2026-vulagent-hypothesis-validation-driven-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ziliang Wang, Ge Li, Jia Li, et al.*2026 · 4 citations*
2. **[Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and Refinement](https://md.research.elamur.ai/free/en/papers/sun-2026-learning-cognition-enhancing-rl-efficiency/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zexu Sun, Yongcheng Zeng, Erxue Min, et al.*2026*

5 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/shi-2026-codehacker-automated-test-case-generation/) — CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions