N2NMatcher: Towards Inlining-Resilient Binary Decomposition and Module Matching

2026-08-12T08:51:41Za738f309586993a15bafccc7df4722a935e199c6c6f8de3d4b8f722c8a278e86
AI-agentsAI-fairnessCVE-analysisOSVautonomous-software-evolutionbinary-code-similaritycode-reviewfalse-positive-reductionmalware-analysissmart-contract-securitysoftware-securitysymbolic-executionvulnerability-search

What happened

This arXiv feed contains software-engineering and AI research, including binary similarity analysis, Linux code-review evolution, self-evolving coding agents, AI fairness debt, smart-contract vulnerability analysis, code comprehension, LLM program synthesis, developer personalization, and autonomous software evolution. The security-relevant items discuss malware and vulnerability analysis, smart-contract scanner false-positive reduction, CVE-aware code comprehension, and risks from bias or autonomous coding systems, but do not disclose specific vulnerabilities or confirmed exploitation.

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_se
Record identifier
a738f309586993a15bafccc7df4722a935e199c6c6f8de3d4b8f722c8a278e86
Enrichment time
2026-08-12T08:51:41Z
AI-assisted enrichment
Yes

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Record · N2NMatcher: Towards Inlining-Resilient Binary Decomposition and Module Matching · Baitaphish