Truth for Believable AI: Expressed Doubt, Provenance, and Belief Revision as an Engineerable Stance
arXiv:2609.26035v1 Announce Type: cross Abstract: Conversational agents often express answers in a uniformly confident register. We test whether expressed uncertainty, provenance-aware assertion, and explicit belief revision can be implemented as a behavior layer over a fixed language model; we do not test believability or trust. The layer combines three epistemic states, per-claim confidence and typed provenance, a provenance-gated expression rule, and a persistent revision store with auditabl…