PDR in Production: Empirical Evidence for Cross-Session Behavioral Reliability Scoring in Autonomous AI Agents

PDR in Production v2.6: Empirical Validation of Behavioral Trust Scoring in Multi-Agent Systems. v2.6 adds §7.6.5 (Practitioner-Led Implementation: clawmetry self-implementation by Vivek Chand, 213★ maintainer, who implemented AgentReliabilityScorer from Issue #464 himself — PR#465+466, 315+51 additions, both merged same day — without a PR from the authors) and §7.6.6 (First Cross-Session Analytics Merge in a Proof-Bundle System: Andrei Traistaru merged ActorReliabilityProfile PR#2 in decision-passport-core, 24 tests, 95 total — the first proof-bundle system to ship cross-session behavioral trend analytics as a first-class component; merge comment: "strong additive step for derived cross-session analytics while keeping the session-truth boundary intact"). v2.5 established four independent architectural convergences. v2.6 adds the implementation layer: ideas from this paper are now shipping in production codebases without requiring PRs from the authors. Paper demonstrates that the cross-session behavioral drift gap is universal (65+ repositories), empirically grounded (two independent case studies), and is being addressed by production practitioners. Concept DOI: 10.5281/zenodo.19154458