GenOS: Compositional Certificates for Semantic Robustness in AI Code Generation
2026-08-05T08:51:54Z•69d6a311603f9c0aca27f6474b650f5065ec0417689b5150d849f7433ec0e11d
AI code generationLLM securitycompiler optimizationformal verificationglob patternsknowledge graphsparallel lexingprogramming languagesquantum programmingregular expressionssecure parsingsoftware security
What happened
This document is an arXiv programming-languages feed containing research on semantic robustness for AI code-generation workflows, LLM-assisted compiler optimization, glob-pattern ecosystem inconsistencies and security vulnerabilities, executable knowledge-graph contracts, quantum-program validation, regular-expression compilation, parallel lexing, programming-by-example reasoning, and functional reactive programming. The content is primarily academic and does not describe a specific exploitable incident; the glob ecosystem study is the most security-relevant, reporting widespread inconsist||||
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_pl
- Record identifier
- 69d6a311603f9c0aca27f6474b650f5065ec0417689b5150d849f7433ec0e11d
- Enrichment time
- 2026-08-05T08:51:54Z
- AI-assisted enrichment
- Yes
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