Interactive System

Runtime Provenance Explorer

Interactive DT4H explorer showing where adaptive runtime interpretation originated and how evidence contributed to confidence, Twin updates, and SETPOINT execution.

Runtime explainability#

Selected sourceSETPOINT
Contribution weight31%
Runtime impactTrajectory improving
ExplainabilityEvidence-visible
Selected evidence source

SETPOINT

Protocol adherence confirmed

31%Runtime contribution weight
Contribution typeExecution outcome evidence

Execution continuity reinforced calibration maturity and trajectory stability.

Runtime consequenceTrajectory improving

DT4H keeps runtime interpretation explainable and provenance visible instead of opaque.

Provenance flow#

01 · Source signalEvidence input

ArenaK gameplay, wearables, EHR continuity, clinician review, and SETPOINT outcomes enter the runtime.

02 · Confidence contributionCalibration effect

Each signal contributes differently based on freshness, repeatability, continuity, and runtime context.

03 · StateK interpretationRuntime state

StateK synthesizes evidence into bounded runtime interpretation, drift detection, and trajectory posture.

04 · Twin updateObserved adaptive truth

Twin confidence and adaptive state evolve as longitudinal evidence accumulates.

05 · SETPOINT executionAdaptive response

Runtime interpretation influences execution posture and future recalibration behavior.

Why provenance matters#

01

Interpretability

Adaptive runtime systems remain explainable and reviewable.

02

Operator trust

Clinicians and operators can inspect evidence origins and runtime contribution logic.

03

Bounded infrastructure

Confidence and adaptive state remain observable, governed, and reviewable.

04

Longitudinal visibility

Evidence accumulation remains visible across time instead of hidden inside opaque models.

LayerRuntime Layer
StatusActive Draft
SystemDT4H / StateK / SETPOINT
BoundaryInfrastructure, not diagnosis
System lineageDT4HTwinStateKSETPOINTOutcomesRecalibration
Infrastructure boundaryDT4H models cohorts, Twins, calibration, and runtime state. It does not diagnose, prescribe, or replace licensed clinical judgment.
Document statusInfrastructure draft
Last updatedMay 2026
Applies toDT4H.ai / AvatarK.ai ecosystem