src_fb50be84b835134c75
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- Oct 07, 2026 04:00 UTC
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arXiv:2609.14098v2 Announce Type: replace Abstract: Large language models are increasingly used in blockchain forensic investigations to interpret unverified smart contract bytecode. Their robustness has not been systematically tested against contracts adversarially designed to mislead analysis. We evaluate 22 frontier models on 13 purpose-built contracts (9 deception vectors, 4 controls) across s
The Deception Delta: Adversarial Evaluation of LLM-Based Smart Contract Bytecode Forensics089b799672950e32266e335f234709c3fc064d5de93ad4e73579a6a0aac0a529Network indicators are visibly defanged. This page does not make them clickable or send them to another service.
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