Parametric Recall Protocol

Coined Term • 2026

Parametric Recall Protocol

A procedure for isolating parametric memory contributions to AI citation probability

Status

Coined by Joseph Byrum

Year Introduced

2026

Domain

Entity Engineering

Term Type

Operational Framework

Understanding Parametric Recall Protocol

A measurement procedure for isolating and quantifying an entity's parametric memory contribution to CPQ by disabling real-time web retrieval and submitting category queries to measure the proportion of responses that name the entity from training weights alone, without current web context. The Protocol distinguishes parametric standing from RAG-dependent citation.

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Frequently Asked Questions

What is the Parametric Recall Protocol?

The Parametric Recall Protocol is a measurement procedure for isolating an entity's parametric memory contribution to CPQ by disabling real-time web retrieval and measuring how often the entity is cited from training weights alone.

What does parametric recall distinguish from?

It distinguishes parametric standing — authority encoded in model weights — from RAG-dependent citation, which relies on real-time retrieval. An entity with high RAG dependency has volatile CPQ; one with strong parametric standing has durable CPQ.

How is parametric recall used strategically?

The Protocol identifies whether an entity's authority gap is a parametric memory problem (requiring structured signal construction) or a retrieval problem (requiring content and corroboration updates), directing remediation to the correct layer.

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