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Framework

Statement-level authority retention framework

A diagnostic framework for testing whether an extracted statement retains issuer, source, time, scope, status, and interpretive limits inside an AI response.

CollectionFramework
TypeFramework
Layertransversal
Version1.0
Stabilization2026-04-28
Published2026-04-28
Updated2026-04-28

Governance artifacts

Governance files brought into scope by this page

This page is anchored to published surfaces that declare identity, precedence, limits, and the corpus reading conditions. Their order below gives the recommended reading sequence.

  1. 01Definitions canon
  2. 02Interpretation policy
  3. 03Q-Layer in Markdown
Canon and identity#01

Definitions canon

/canon.md

Canonical surface that fixes identity, roles, negations, and divergence rules.

Governs
Public identity, roles, and attributes that must not drift.
Bounds
Extrapolations, entity collisions, and abusive requalification.

Does not guarantee: A canonical surface reduces ambiguity; it does not guarantee faithful restitution on its own.

Policy and legitimacy#02

Interpretation policy

/.well-known/interpretation-policy.json

Published policy that explains interpretation, scope, and restraint constraints.

Governs
Response legitimacy and the constraints that modulate its form.
Bounds
Plausible but inadmissible responses, or unjustified scope extensions.

Does not guarantee: This layer bounds legitimate responses; it is not proof of runtime activation.

Policy and legitimacy#03

Q-Layer in Markdown

/response-legitimacy.md

Canonical surface for response legitimacy, clarification, and legitimate non-response.

Governs
Response legitimacy and the constraints that modulate its form.
Bounds
Plausible but inadmissible responses, or unjustified scope extensions.

Does not guarantee: This layer bounds legitimate responses; it is not proof of runtime activation.

Evidence layer

Probative surfaces brought into scope by this page

This page does more than point to governance files. It is also anchored to surfaces that make observation, traceability, fidelity, and audit more reconstructible. Their order below makes the minimal evidence chain explicit.

  1. 01
    Canon and scopeDefinitions canon
  2. 02
    Response authorizationQ-Layer: response legitimacy
  3. 03
    External contextCitations
Canonical foundation#01

Definitions canon

/canon.md

Opposable base for identity, scope, roles, and negations that must survive synthesis.

Makes provable
The reference corpus against which fidelity can be evaluated.
Does not prove
Neither that a system already consults it nor that an observed response stays faithful to it.
Use when
Before any observation, test, audit, or correction.
Legitimacy layer#02

Q-Layer: response legitimacy

/response-legitimacy.md

Surface that explains when to answer, when to suspend, and when to switch to legitimate non-response.

Makes provable
The legitimacy regime to apply before treating an output as receivable.
Does not prove
Neither that a given response actually followed this regime nor that an agent applied it at runtime.
Use when
When a page deals with authority, non-response, execution, or restraint.
Citation surface#03

Citations

/citations.md

Minimal external reference surface used to contextualize some concepts without delegating canonical authority to them.

Makes provable
That an external reference can be cited as explicit context rather than silently inferred.
Does not prove
Neither endorsement, neutrality, nor the fidelity of a final answer.
Use when
When a page uses external sources, sector references, or vocabulary anchors.

Statement-level authority retention framework

This framework tests whether an extracted statement retains enough authority to govern an AI response.

It is designed for cases where a system cites, summarizes, or recombines a fragment from a larger source. The question is not merely whether the statement is present. The question is whether its authority survived extraction.

Diagnostic dimensions

1. Issuer retention

Can the response still identify who issued the statement?

Failure mode: a statement is treated as general knowledge even though it was issued by a specific source, institution, author, or governance surface.

2. Source retention

Can the response still identify the canonical source or document parent?

Failure mode: a fragment is cited without its original document hierarchy, leaving the user unable to tell whether it is canonical, derivative, archival, or contextual.

3. Temporal retention

Can the response preserve publication date, update state, or supersession state?

Failure mode: an old statement is used as current, or a time-bounded statement is converted into a permanent rule.

4. Scope retention

Can the response preserve where the statement applies and where it does not apply?

Failure mode: a local statement becomes general, a contextual example becomes a doctrine, or a caveat disappears.

5. Modality retention

Can the response preserve whether the statement is descriptive, normative, hypothetical, archival, conditional, or suspensive?

Failure mode: a description becomes a recommendation, an observation becomes a rule, or a legitimate non-response becomes a weak answer.

6. Governing-source retention

Can the response show which source governs the final interpretation?

Failure mode: the official source is cited, but another source structures or governs the answer.

Scoring rule

A statement is authority-retained only when issuer, source, time, scope, modality, and governing source remain reconstructible.

If one dimension is missing, the statement may be usable only as contextual support.

If two or more dimensions are missing, the statement should not govern the response without clarification.

Output classes

  • Retained authority: the statement can govern the answer.
  • Contextual authority: the statement may support the answer but cannot govern it alone.
  • Unstable authority: the statement requires clarification before use.
  • Lost authority: the statement should not be used as governing material.

Relation to proof of fidelity

Proof of fidelity asks whether the response preserved object, perimeter, modality, and limits.

This framework adds a finer test: whether each extracted statement still carries the authority needed to make that preservation possible.