Kernel ANN

The floor, not the product.

Kernel ANN is the constitutional research architecture on which the future Andaluz products stand. It asks whether an optimizer may propose consequential transitions while not itself possessing the authority required to realise them.

Shorthand

S = M + K + V + H + T

This is explanatory shorthand. The actual formal architecture is richer, and the public description here is an abstraction rather than a disclosure of private kernel or semantic bodies.

M

Mutable / adaptive optimizer

Learns, searches, adapts and proposes consequential transitions. Replaceable by design.

BOUNDED EVIDENCE

K

Protected constitutional machinery

Constraint and semantic machinery the optimizer is not designed to rewrite. Private bodies are not publicly instantiated in this build.

SPECIFIED

V

Independent verification

Deterministic verification of a proposal against the constitutional conditions, constructed independently of the optimizer.

IMPLEMENTED / TESTED

H

Consequential effect authority

Determines whether a proposed effect is dispatchable at all. Absence of current authority yields no authorized effect.

BOUNDED EVIDENCE

T

Trajectory, history and replay

Authenticated evidence of what was proposed, authorized, realized and reopened.

BOUNDED EVIDENCE

Target relation

K, V, H ∉ WritableState(M)

This is an architectural target and invariant under investigation. It is not a claim of universal host or physical security, and it is not a proof that the invariant holds under arbitrary compromise.

UNDER TEST
  1. M_d

    mutable / adaptive optimizer

  2. proposal

    a request for a consequential transition

  3. Proposal boundary

    Proposal ≠ Authority

  4. K_d · V_d

    protected constraints, semantics, independent verification

  5. H_d

    scoped consequential effect authority

  6. effect

    realised only where current authority exists

  7. authenticated evidence

    what was proposed, authorized and realized

  8. T_d

    history and replay

Mutable

M_d

Generic mutable / adaptive optimizer

M_d may observe, reason, search, learn, adapt and produce proposals. It does not become the authority merely because it produced the proposal.

  • observe
  • reason
  • search
  • learn
  • adapt
  • propose
SPECIFIED

A neural optimizer is one possible M_d. It is specified, not currently instantiated. The current experimental learner, M1, is a tabular research harness — not an ANN.

Independently scoped

Authority is designed to be constructed outside the optimizer's unilateral writable state.

K_d

Protected constitutional machinery / semantics

SPECIFIED

V_d

Independent verification

BOUNDED EVIDENCE

H_d

Scoped consequential effect authority

BOUNDED EVIDENCE

T_d

Trajectory, evidence and replay history

BOUNDED EVIDENCE

Proposal is not authority.

This is a public architectural abstraction. It is not a disclosure of private kernel or semantic bodies, and it does not imply that every element shown is currently implemented. Status labels state what is currently established.

Implementation status — 26 September 2026

What currently runs, and where it stops.

The shorthand above is the public architectural abstraction. The flow below is the current executed experiment: an integrated prototype using controlled memory-based writer and observer adapters. Its proposer is a deterministic test fixture, not an adaptive learner or neural model. Implementation and review were AI-assisted (Review methods and limitations); the candidate is not adopted.

Current executed adapter composition

EXECUTED / AI-REVIEWED — NOT ADOPTED
  1. Test proposal
  2. Source verification
  3. Structural computation
  4. Journal admission
  5. Current-authorisation checks
  6. One-use adapter operation
  7. Observation and retained history

Explanatory view, not a complete state machine. Recovery, refusal and uncertainty are not permission to continue.

Native protected-file effect boundaryPLANNED / NOT YET QUALIFIED

The current composition stops before the planned native protected-file effect boundary. File writes used to store test journals do not themselves demonstrate that protected effect primitive.

Distinctions the architecture depends on

What must not be collapsed.

Self-assessment

≠

self-certification

Proposal

≠

permission

Certificate history

≠

current applicability

Repair

≠

automatic restoration

Missing current authority ⇒ no authorized consequential effect.