WebMEM™

The Protocol for Structuring, Delivering, and Conditioning Trust-Scored AI Memory on the Open Web

Semantic Persistence Index

Semantic Persistence Index is a metric that quantifies how consistently a Memory Object or Memory Fragment retains its original meaning, relationships, and authoritative standing across AI retrieval events over time. It measures not only the frequency of accurate retrieval but also the stability of semantic context in AI outputs.

Unlike Memory Horizon, which measures retention duration, the Semantic Persistence Index evaluates the *quality and consistency* of representation throughout that period.

🧠 Full Definition

The Semantic Persistence Index is derived from:

  • Retrieval consistency — how often the same canonical definition is retrieved across test queries
  • Contextual stability — preservation of entity relationships and intended scope
  • Trust alignment — sustained Trust Scores and absence of Trust Drift
  • Representation accuracy — minimal paraphrase distortion or factual alteration
  • Cross-surface coherence — matching definitions across Memory Surfaces and Trust Surfaces

The result is expressed as a normalized value (0–100) indicating semantic stability over a defined measurement period.

📌 Key Characteristics of Semantic Persistence Index

  • Focuses on semantic stability rather than just retrieval frequency
  • Can detect semantic drift before trust or visibility decay occurs
  • Applicable at fragment, entity, or domain levels
  • Useful for monitoring Resilient Memory health

💡 Why It Matters

Maintaining high semantic persistence ensures that your authoritative content remains accurate and contextually intact in AI outputs—preserving both factual correctness and intended meaning. Drops in the Semantic Persistence Index are often early indicators of emerging competitive overwrite or model re-interpretation issues.

🌐 WebMEM Perspective

In WebMEM, the Semantic Persistence Index is tracked in the Semantic Visibility Console to monitor how well Conditioning Strategies are protecting against meaning erosion across retrieval cycles.

🗣️ Example Use

“The Semantic Persistence Index for our flagship glossary term has stayed above 95 for six months, indicating stable trust and meaning retention.”

🔗 Related Terms