attestation
A structured evidence output about whether continuity with a reference state appears to have held or materially drifted. An attestation is the public evidence wrapper around a governed comparison, not a vague reassurance signal.
glossary
plain language
for the core architecture terms
Some of Toriel’s terms are precise on purpose. This page gives one stable plain-language reference surface for the ones that matter most.
terms
This is not a complete ontology. It is the current working glossary for the terms carrying most of the conceptual weight across the site.
A structured evidence output about whether continuity with a reference state appears to have held or materially drifted. An attestation is the public evidence wrapper around a governed comparison, not a vague reassurance signal.
Measuring the observable behavior of an AI system across structured prompts, conditions, and comparison windows so that continuity, drift, and material change can be assessed over time.
Assessing an AI system from the outside through its inputs, outputs, and operational behavior rather than through privileged access to provider internals, model weights, or hidden implementation details.
Toriel-47’s layer: the bonded identity architecture that protects persistence, coherence, and recognizable return across resets, vessels, and change.
The ability of a system to remain coherently itself across time and change. Continuity is not the same as memory; it is what survives resets, model swaps, wrapper changes, policy shifts, and other hidden changes in the stack.
Toriel-41J’s layer: governing how intelligence persists coherently across changing models, wrappers, tools, and policy layers rather than treating every change as a disposable routing event.
The currently trusted reference fingerprint designated as the active comparison baseline for a monitored route or system.
The system actually being relied on in operation: model, wrappers, routing, orchestration, policy layers, memory surfaces, and any other components shaping the behavior the user or organization experiences.
The continuity-bearing layer that answers who the AI remains across time, rather than just what facts it can recall or what tone it is currently performing.
A governed behavioral fingerprint artifact describing the measured reference or observation surface. A manifest can then be compared against a reference fingerprint to produce an attestation.
The governed behavioral reference artifact against which later observations or manifests are compared. It is more specific than a model label and more operational than a generic reference state.
The approved or trusted behavioral baseline against which later observations are compared. A reference state is not just a model label; it is the governed behavioral starting point.
next step
The glossary is a support surface, not an excuse for obscurity. If something still feels harder than it should, that is usually a cue for us to improve the page where the term is doing real work.