Governed Metaprogramming for Intelligent Systems: Reclassifying Eval as a Governed Effec
2026-05-08T08:52:13Z•219ef328a53bfb65b2f4ec80d0e3c638a36bbf92b58d44a46ea2274d9293415e
BEAMDSLLLM fine-tuningMashinTalkSV-COMPScala 3Soteriaagent safetybinary liftingcapability trackingcapture checkingcode translationdecompilationeval governanceformal verificationgoverned metaprogramminginformation leakageprogram materializationprompt injectionself-playsemantic evaluationsymbolic executiontool use governancetype-based safetyverifiable reasoning
What happened
Collection of recent PL/AI papers proposing mechanisms to make code generation and agent tool use safer and more verifiable. Key contributions: (1) "Governed Metaprogramming" reframes eval/materialization as a governed effect (MashinTalk DSL compiling to BEAM) that inspects capability requirements, policy compliance, and resources before permitting execution; (2) a semantic evaluation methodology for code translation/decompilation that measures functional correctness rather than surface similarity; (3) using symbolic-execution traces to train LLMs for substantially improved bug/violation-dete
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_pl
- Record identifier
- 219ef328a53bfb65b2f4ec80d0e3c638a36bbf92b58d44a46ea2274d9293415e
- Enrichment time
- 2026-05-08T08:52:13Z
- AI-assisted enrichment
- Yes
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