Relaxed activation analysis of dataflow networks - A clock calculus for machine learning and real-time scheduling
2026-07-27T08:51:54Z•fb4aaba6901c2cc5123082c786425456a065906ac6eb55e882d700586976e965
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
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.