core/docs/decisions/ADR-0015-language-packs-and-holonomy-resonance.md

ADR-0015 — Language Packs as Compiled Linguistic Manifolds

Status: Accepted
Date: 2026-05-13

---

Context

CORE's language philosophy is not localization. English, Hebrew, and Koine Greek serve distinct architectural roles in CORE-Logos:

Language	Role
English	Operational base and articulation surface
Hebrew	Depth-root language: root morphology, semantic compression, creation-word density
Koine Greek	Depth-relation language: Logos precision, case/aspect/voice/mood, clause relation

The existing sensorium/adapters/text.py scaffold mounted en, he, and grc, but the packs were only token lookup wrappers. That is insufficient for CORE. A language pack must not be a dataset or a translation table. It must be a compiled linguistic manifold.

---

Decision

A CORE language pack is a deterministic, checksummed, compiled linguistic manifold containing:

• a manifest with language role, script, normalization policy, source manifest, determinism class, checksum, gate state, and OOV policy;
• lexical entries and morphology entries;
• grammar attractors;
• cross-language resonance edges;
• holonomy alignment cases proving that aligned clauses produce coherent field path resonance.

Terminology Boundary

This distinction is mandatory:

Term	Meaning
Vocabulary point / manifold point	Position in the field; surface token entry
Transition rotor	Operator between points, constructed by algebra
Persona motor	Field-bias operator
Grammar attractor	Structural pressure seeded from recurring linguistic form

Vocabulary entries are not transition rotors. Conflating point and operator is an algebraic category error. The vocabulary may store multivectors/null points; rotor construction belongs to the algebra layer.

OOV Policy

Unknown surfaces must not silently collapse to a shared point.

Pack role	OOV behavior
English operational/articulation	Tagged fallback may be used during early operation
Hebrew depth-root	Fail closed during and after seeding unless explicit expansion path is active
Koine Greek depth-relation	Fail closed during and after seeding unless explicit expansion path is active
Post-seeding expansion	OOV creates a vocab-expansion proposal; it is not projected silently

Returning the same e1 point for every unknown Hebrew or Greek form erases the distinctions those languages exist to preserve; it is anti-Logos.

Morphology / Semantics / Alignment

Morphology is operator composition. Semantic domain is attractor geometry. Alignment is resonance. These must not be collapsed into one multiplication.

For Hebrew, composition order is load-bearing:

V_surface = (((V_root · M_stem) · M_inflection) · M_affix_chain)

For Koine Greek, the pack should compose lemma anchors with case/aspect/voice/ mood/clause-role operators. The grammar relation is structural, not metadata.

Semantic domains seed attractors rather than becoming opaque morphology factors. Cross-language alignment is a weighted graph, not a translation table.

Crown Proof: Holonomy Resonance

Token-level alignment is necessary but insufficient. The decisive proof of the three-language design is dynamic:

holonomy(hebrew canonical clause)
  resonates with
holonomy(koine greek canonical clause)
  and maps coherently to
holonomy(english articulation clause)

Aligned clauses should produce nearby/coherent holonomies without flattening their distinctions. Unrelated clauses should remain geometrically distinct. Word-order changes should change holonomy. This is the CORE-Logos proof that language packs preserve ordered field paths rather than merely mapping tokens.

The first holonomy alignment cases should be small and exact: Logos, beginning, light, life, spirit, truth, covenant, grace, kingdom, creation.

---

Consequences

Positive:

• Prevents future agents from treating language packs as datasets.
• Gives Hebrew and Koine Greek concrete architectural roles.
• Prevents silent OOV collapse in depth languages.
• Establishes holonomy-level resonance as the validation gate.

Negative:

• Requires a real Supervised Seeding Epoch before Hebrew/Greek gates engage.
• Requires deterministic morphology and grammar scaffolds before depth packs are operational.
• Requires carefully pinned canonical texts and checksums for D0 ingestion.

---

Implementation Order

1. Terminology and schema foundation (language_packs/schema.py).
2. Pack roles and OOV policy in sensorium.
3. Split text adapters into English, Hebrew, Koine Greek specializations.
4. Add grammar scaffold artifacts.
5. Add tri-language resonance graph.
6. Add holonomy resonance proof cases.

No LLM extraction may feed the gate. Structural segmentation only.