Integrity-Tracked Traversal Drift Detection
by Nick Clark | Published March 27, 2026
As a discovery object traverses the index, it may gradually drift from its original intent. Each individual step seems reasonable, but the cumulative effect is a traversal that has wandered far from what was requested. The integrity field tracks this semantic drift, measuring the deviation between the current traversal trajectory and the declared intent, and triggering correction when drift exceeds policy thresholds.
What It Is
Integrity-tracked drift detection applies the architecture's integrity field to the discovery traversal itself. The integrity field measures the deviation between the discovery object's declared intent and its actual traversal trajectory. Each step contributes to a cumulative drift measure that quantifies how far the traversal has wandered from its original purpose.
Why It Matters
Semantic drift is a subtle failure mode. A discovery object searching for medical research might follow a chain of citations into pharmaceutical marketing, then into financial analysis, each individual transition being semantically related to the previous one. Without drift detection, the object reports financial analysis as the result of a medical research query.
Integrity tracking detects this gradual drift even when each individual step appears reasonable, because it measures cumulative deviation from the original intent rather than step-to-step coherence.
How It Works
At each traversal step, the integrity field computes the semantic distance between the current traversal state and the original intent. This is not a simple keyword comparison but a structured evaluation using the discovery object's full cognitive state. The cumulative drift measure increases when traversal moves away from the intent domain and decreases when it moves back.
When drift exceeds a policy-defined threshold, the system triggers correction: alerting the operator, adjusting traversal parameters, or reverting to a recent low-drift checkpoint. Severe drift may terminate the traversal.
What It Enables
Drift detection enables long-running discovery operations that maintain intent fidelity across thousands of traversal steps. Research agents can explore broadly without losing their original purpose. Autonomous discovery can operate for extended periods with assurance that results will be relevant to the original query. The integrity field provides the structural guarantee that discovery produces what was asked for.
