Relaxed activation analysis of dataflow networks - A clock calculus for machine learning and real-time scheduling

2026-07-27T08:51:54Zfb4aaba6901c2cc5123082c786425456a065906ac6eb55e882d700586976e965
LLM-securityMovebinary-analysisblockchain-securitycompiler-testingconcolic-executionfuzzingmachine-learningmulti-party-computationprogram-analysisprogramming-languagesreverse-engineeringsmart-contract-securitytrustworthy-AIvulnerability-discovery

What happened

This document is an arXiv computer science feed containing research on programming languages, program analysis, compiler optimization, machine learning systems, fuzzing, smart-contract security, MPC, and LLM-assisted reverse engineering. The most directly security-relevant work is Belobog, a type-aware fuzzing framework for Move smart contracts that reports reproducing exploits and finding previously unknown vulnerabilities, plus REFORGE, which evaluates reliability and uncertainty in LLM-based binary reverse engineering. No specific CVEs are mentioned.

Why it matters

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

Evidence and limitations

Source ID
arxiv_cs_pl
Record identifier
fb4aaba6901c2cc5123082c786425456a065906ac6eb55e882d700586976e965
Enrichment time
2026-07-27T08:51:54Z
AI-assisted enrichment
Yes

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Record · Relaxed activation analysis of dataflow networks - A clock calculus for machine learning and real-time scheduling · Baitaphish