Intent-Driven Computing: A Computational Model for Governed Autonomous Systems

2026-05-26T08:52:02Zdb3d19b67f826a6f9b75cd7cd3a306fa83979ba13951aabeae8025379dc61f15
BODHILLM-code-generationOS-kernelauditabilitydependency-managementformal-verificationgovernanceintent-driven-computingmemory-privacypinning-vs-floatingpolicy-enforcementproactive-agentsruntime-hardened-executionsandboxingspecification-inferencesupply-chain-securitytamper-evident-ledger

What happened

This collection contains multiple CS research papers with clear security and supply-chain implications. "Intent-Driven Computing" proposes a model where all effects are issued as finite intents checked by a decidable policy language and recorded in a tamper-evident ledger — improving auditability, forensics, and governance but creating high-value policy enforcement/runtime components that, if flawed or compromised, could become single points of failure or escalation vectors. "Context" and related work on composable sandboxed LM-generated programs and proactive agents advance sandboxing and-gov

Why it matters

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

Evidence and limitations

Source ID
arxiv_cs_pl
Record identifier
db3d19b67f826a6f9b75cd7cd3a306fa83979ba13951aabeae8025379dc61f15
Enrichment time
2026-05-26T08:52:02Z
AI-assisted enrichment
Yes

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