Safety as Computation: Certified Answer Reuse via Capability Closure in Task-Oriented Dialogue

arXiv cs.AI / 3/24/2026

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Key Points

  • The paper proposes a new paradigm for task-oriented dialogue where “safety certification” is treated as a computational primitive that enables answer reuse across turns rather than re-deriving responses each time.
  • It argues that, in capability-based systems, the certification step effectively computes a fixed-point closure (cl(At)) that contains all answers reachable from the current configuration.
  • The authors implement this idea with a Certified Answer Store (CAS) augmented by Pre-Answer Blocks (PAB), which materializes all derivable follow-up answers along with minimal provenance witnesses at each certified turn.
  • By answering later queries through formal containment checks, the approach aims to reduce response latency to sub-millisecond times and eliminate redundant retrieval/generation.
  • Overall, the work reframes safety verification as both a correctness mechanism and an efficiency enabler for dialogue systems through formal computation of reachable answers.

Abstract

We introduce a new paradigm for task-oriented dialogue systems: safety certification as a computational primitive for answer reuse. Current systems treat each turn independently, recomputing answers via retrieval or generation even when they are already derivable from prior state. We show that in capability-based systems, the safety certification step computes a fixed-point closure cl(At) that already contains every answer reachable from the current configuration. We operationalize this insight with a Certified Answer Store (CAS) augmented by Pre-Answer Blocks (PAB): at each certified turn, the system materializes all derivable follow-up answers together with minimal provenance witnesses. Subsequent queries are answered in sub-millisecond time via formal containment checks, eliminating redundant retrieval and generation.