ROSETTA is the harmonic-resonance layer of the ETHRAEON constitutional runtime and
evidence control layer. Three engines work in concert: a Harmonic Substrate that models
meaning as quantum-oscillator field tensors, a Recursive Attunement Engine that holds
stability under Lyapunov guarantees, and a Semiotic Coherence Kernel that binds symbols
to grounded meaning with constitutional validation. Together they turn "does this mean
the same thing" into a measurable, auditable physics problem.
3 Provisional ApplicationsT5-RIGIDSemantic Field TheoryLyapunov-StableConstitutional Validation
The Three Engines
Foundation Layer
Harmonic Substrate Foundation
Meaning as physics.
Represents concepts as semantic field tensors on a quantum-harmonic-oscillator analogy.
Computes field energy, coherence, and meaning resonance between fields, with constitutional
bounds on global coherence and total energy.
create_semantic_field
compute_meaning_resonance
measure_semantic_distance
evolve_substrate (FFT-based)
measure_coherence (eigenvalue)
Provisional 63/927,497 · T5-Rigidity Enforced
Stability Layer
Recursive Attunement Engine
Safe recursion under guarantee.
Self-monitoring with Lyapunov stability functions. The attunement state is only marked
stable when dV/dt is negative and constitutional compliance holds. Classifies a
consciousness index across six levels from Mechanical to Sovereign, and flags when
human oversight is required.
initialize_attunement
recursive_attune
Lyapunov dV/dt < 0 stability test
6-level consciousness classifier
human-oversight escalation flag
Provisional 63/927,498 · T5-Rigidity Enforced
Semantic Bridge Layer
Semiotic Coherence Kernel
Symbol bound to grounded meaning.
Registers symbols and meanings across six modalities, binds them, and validates each
binding constitutionally with a SHA-256 audit hash. Measures grounding strength,
binding strength, and cross-modal consistency so that a symbol cannot drift from
what it is meant to denote.
register_symbol / register_meaning
bind_symbol_to_meaning
measure_cross_modal_consistency
constitutional binding validation
SHA-256 audit hashing
Provisional 63/927,499 · T5-Rigidity Enforced
Live Resonance Demo
This runs entirely in your browser. It mirrors the deterministic resonance math from the
Harmonic Substrate engine: each text is hashed into a stable concept vector, the two
vectors are normalized, and meaning resonance is their inner product weighted by a
harmonic frequency-matching factor exp(-|f_a - f_b|). Same text, same number, every time,
with no model call and no randomness at request time. The full Python substrate (FFT
evolution, eigenvalue coherence, constitutional bounds) runs server-side and is described
under EXACT_BOUND below.
inner product (normalized): --
frequency match factor: --
meaning resonance: --
semantic distance: --
coherence band: --
0.00
Resonance [0..1]
EXACT_BOUND: The full Rosetta Triad runs as Python services
(app/rosetta/engine: harmonic_substrate_foundation, recursive_attunement_engine,
semiotic_coherence_kernel) behind a FastAPI core-invoke server (rosetta_server.py,
port 8081) and a unified Flask REST API (app/rosetta/api/rosetta_api.py, port 5002).
Those engines do FFT-based substrate evolution, eigenvalue coherence measurement,
Lyapunov stability proofs, and SHA-256 audited symbol-meaning binding - work that
requires numpy and scipy server-side. This page does not host them live. The in-browser
demo above is a faithful, lighter reproduction of one engine path so the surface is
genuinely interactive without claiming a backend it does not serve here.
Integrated Pipeline
STAGE 1
Ground
Semiotic Kernel binds incoming symbols to grounded meaning and validates the binding.
→
STAGE 2
Resonate
Harmonic Substrate places meanings as field tensors and measures resonance and coherence.
→
STAGE 3
Attune
Recursive Attunement holds the loop stable under Lyapunov guarantees and escalates to human oversight when required.