Research
Bounded confidence envelopes for inference-time enforcement.
The public paper documents TaskHawk research on an external enforcement layer that evaluates model confidence signals before an output is permitted to proceed.
Position
Supporting research, not the core enforcement guarantee.
Bounded confidence envelopes are research work on inference-time abstention and confidence-aware output control. They are related to the TaskHawk runtime enforcement architecture, but they are separate from the Kevros Enforcement Kernel formal verification artifact.
Scope
What this research evaluates.
It evaluates
An external inference-time envelope that can permit, refuse, or pass through outputs based on calibrated confidence signals.
It establishes
The reported experimental runs and model-checked decision rules for the envelope described in the paper.
It does not claim
The work does not verify a foundation model, certify a deployment, or replace customer-specific safety and compliance review.
Artifacts
Public research material.
| Paper | Bounded Confidence Envelopes for Large Language Model Inference |
|---|---|
| Date | February 13, 2026 |
| Primary use | Reviewer context for TaskHawk's research program around inference-time enforcement. |