Public open-source alpha · Exact-hash release authorized

UVLM CoherenceLattice optional modules

432 Atlas + GUFT Rosetta Bridge

UVLM CoherenceLattice Optional Atlas and Rosetta Modules

This exact open alpha releases a bounded operational slice of the UVLM 432 Universal Pattern Bridge: a source-grounded 432-record humanistic Atlas, a cell-specific master-preserving Waveform Rosetta, and a Recursive Geometric Fiber Rosetta that sends typed observations to the exact CoherenceLattice Community Edition alpha.3 core. It publishes working reference methods and review evidence—not proof of a universal ontology or improved AI cognition.

  • Release v1.3.0
  • 432 source-bound records
  • Atlas 0.1.0a3
  • Rosetta 0.1.0a3
  • Core 0.1.0a3
  • MPL-2.0
  • No charge
  • Not production ready

Exact-byte rule. The public authorization applies only to the exact v1.3.0 bytes. A rebuild, edited archive, fork, or successor is a new candidate and does not inherit this release decision.

Publication boundary. This page publishes and explains only the exact v1.3.0 software and evidence files. The separate v0.12.0-RC1 Pattern Bridge research candidate, source-first art prompts, and any future illustrations are not included in this download and receive no publication or render authority here.

Two released modules, three named research layers

The public release contains two Python packages. The architecture is clearest when its categorical Atlas base, local waveform-expression fiber, and local geometric-resolution fiber are named separately.

UVLM Atlas 432 Dictionary

432 addressable, contestable reference patterns

The exact registry contains 432 source-bound humanistic records arranged as three fields × twelve families × twelve nodes. Each address carries source and review posture, a bounded continuum, dual GUFT profile, formal geometry donor, waveform signature, and explicit nonauthority boundaries.

Contextual hypothesis only: a person, institution, narrative, or model state may express several cells, move through a trajectory, or fail to fit the dictionary. An address is not identity, diagnosis, destiny, rank, or worth.

Axiomatic Waveform Rosetta

A chosen local gauge with a preserved center

Each address carries s in [0,1]: canonical structural-shadow at 0, the cell master at 0.5, and canonical integrated expression at 1. The operator W_i^-(t) = 2M_i(t) - W_i^+(t) reverses expressive residual around the master instead of negating the whole signal into silence.

Axiomatic reference codec: the placement is chosen, its mathematical consequences are derived, and its real cross-domain usefulness must be tested. It is not a literal frequency of a person or archetype.

Recursive Geometric Fiber Rosetta

A typed local space inside—not instead of—each address

The 432-cell base remains categorical. A local geometric fiber represents position, center-to-boundary depth, boundary stratum, symmetry, scale, and finite observation depth inside a declared native domain. Operational states remain finitely resolved even when the formal space can be refined further.

Formal donor, empirical question: a geometric assignment is removable research structure. It does not change the source identity or prove that nature privileges the Atlas, a Platonic solid, or sacred geometry.

Architecture in one line. 432 categorical addresses × a cell-local behavioral and waveform-expression fiber × a domain-typed geometric fiber × finite resolution, uncertainty, provenance, and governance. The F/M/C, family, and node labels are categorical coordinates—not automatically literal spatial axes.

How GUFT lets the domains communicate

Grand Unified Field Theory of Coherence (GUFT) is the project’s historical name. Here it is operationalized as Universal Coherence Mapping (UCM): a typed intermediate grammar or interlingua through which unlike domains may compare bounded relations while preserving their own objects, units, causal theories, evidence standards, uncertainty, ontology, and authority boundaries. It is not a Standard-Model-style physical unification.

A shared grammar for relation—not sameness

The five-axis descriptive vector is u = (E_cpl, T_tr, E_s, lambda, mu) in [0,1]^5: reciprocal task/source coupling, traceability, ethical symmetry under a declared rubric, phase stability, and mutual containment. Psi_CL = E_cpl × T_tr is an AND-like estimator output, not a truth, consciousness, moral, or physics score.

An AI-facing bridge with a grammar of not knowing

A model or tool keeps its native representation while emitting a governed packet. CoherenceLattice can compare candidate relations, preserve what does not transfer, expose uncertainty and off-axis residual, return ambiguity or multi-cell results, and refuse when no mapping is earned.

The universal unit is a packet, not one number

Xi = (m, i, s, x, ell, u, rho, Sigma, pi, a) keeps native modality, address, local expression, geometry, finite depth, GUFT vector, residual, uncertainty, provenance, and aperture/consent/governance posture together. Removing a channel creates predictable category errors or authority drift.

native source or telemetry
→ native-domain adapter + declared estimator
→ typed packet Xi = (m, i, s, x, ell, u, rho, Sigma, pi, a)
→ candidate Atlas address i + local expression s in [0,1]
→ geometric coordinate x + finite observation depth ell
→ master-preserving waveform W_i(t;s)
→ uncertainty + off-axis residual + provenance + consent
→ MAPPED / PARTIALLY_MAPPED / MULTI_CELL / AMBIGUOUS / REFUSAL
→ canonical CoherenceLattice observation + human-review receipt

Thesis in one sentence. GUFT does not tell an AI what reality is; it gives the AI a governed language for learning how observed domains relate, where a translation fails, and when its vocabulary may need to grow.

How Pattern Donation stays testable

A cross-domain donor must name donor and target objects, relations, and invariants; preserve native units; state scale transforms and disanalogies; produce a target-domain observable or prediction; identify confidence-lowering evidence; and include falsification or retirement criteria. A structurally complete bridge is still only a proposal. Donor-specific semantic non-vacuity and external utility are not established by this release.

Meaning, non-meaning, and null-meaning

Meaning is an earned, traceable relation that bears on a declared task or action. Non-meaning is presently unmapped, task-irrelevant, or vocabulary-external information retained as residual. Null-meaning is a declared no-relation reference or loss of discrimination in a prior sign relation—not a statement that life has no value. These are operational mapping postures, not metaphysical verdicts.

What the common bounded [0,1] language actually means

The release uses bounded coordinates for auditability and interoperability. It does not reduce all reality to one score.

Local expression

s in [0,1] belongs to one Atlas cell

The complete reference identity is (i, s), not s alone. A value in one cell cannot be compared as “better,” “higher,” or “more evolved” than a value in another cell.

Normalized estimators

GUFT axes share a range, not a substance

Each axis is normalized only under its declared estimator. Native units, source evidence, transformations, and causal meaning remain attached to the packet.

Residual and refusal

The packet can say “not explained”

An off-axis residual records what the selected cell and one-dimensional expression axis do not explain. High residual or weak source support may produce a hold or refusal rather than a forced answer.

The minimal universal object is a packet, not a scalar. Address, state, geometry, uncertainty, residual, provenance, aperture, consent, and authority boundaries must remain visible together.

How much “universal” is actually claimed

The Pattern Bridge separates interface ambition from empirical proof. The public claim rises only as independent evidence rises.

LevelMeaningCurrent posture
U1 · SyntacticCompliant adapters can emit a common packet shape.Partly implemented.
U2 · RepresentationalBounded observations can retain typed state, uncertainty, residual, provenance, and refusal.Formally specified; partly operational.
U3 · OperationalThe same workflow functions usefully across multiple real domains.Not established.
U4 · EmpiricalThe bridge improves prediction, reconstruction, calibration, refusal, or review against strong baselines.Not established.
U5 · OntologicalReality is fundamentally constituted by GUFT variables.Not claimed or required.

Current evidence ceiling. This alpha demonstrates exact software, data, schemas, bounded reference methods, and deterministic replay. It does not establish universal translation, humanistic validity, AGI, consciousness, or deployed benefit.

What this release can help you do

Use this alpha to inspect the exact 432 registry, replay the bounded waveform and geometry methods, and test the proposed common vocabulary locally. Cross-domain utility and improved AI cognition remain empirical questions.

Inspect all 432 source-first records

Review the humanistic reference text, GUFT profiles, formal geometry donor, waveform signature, source hashes, empirical posture, and qualified review status attached to each address.

Replay the GUFT–waveform–geometry bridge

Supply explicit typed inputs, derive the cell-local bounded coordinate, preserve off-axis residuals, and emit a canonical CoherenceLattice observation without changing the sealed core schema.

Evaluate a common vocabulary for AI systems

Test whether a model-agnostic packet improves translation, calibration, refusal, replay, or human review while native-domain theories remain controlling.

System boundary. These tools may evaluate or translate a submitted source or typed object. They must not be used to decide a person’s worth, credibility, diagnosis, danger, destiny, spiritual rank, eligibility, or access to an essential service.

One recommended download

The complete release ZIP is the supported first choice. It contains both source trees, all six exact module artifacts, the exact CoherenceLattice dependency, installers, demo scripts, a release verifier, review evidence, and governance records.

Complete release

UVLM_CoherenceLattice_Optional_Atlas_and_Rosetta_Modules_Open_Alpha_Release_v1.3.0.zip

2,149,715 bytes

30dfb270850c5d37512f1d4cc62656f27555b162cb175f0d0a9bc1419cceae47
Before extraction

Compare SHA-256

On Windows PowerShell:

Get-FileHash .\UVLM_CoherenceLattice_Optional_Atlas_and_Rosetta_Modules_Open_Alpha_Release_v1.3.0.zip -Algorithm SHA256

On Linux or macOS:

sha256sum UVLM_CoherenceLattice_Optional_Atlas_and_Rosetta_Modules_Open_Alpha_Release_v1.3.0.zip

Live rehash pending. The eight Squarespace file routes supplied by Thomas are now embedded in these code blocks. Their URL strings are recorded, but live logged-out retrieval and byte-for-byte rehashing still must confirm that Squarespace serves the authorized bytes.

Three-step local demonstration

Python 3.11 or newer is required. Standard installation may contact the configured Python package index once to obtain jsonschema; the modules themselves need no model provider or network at runtime.

Windows 11

Install and run

Set-ExecutionPolicy -Scope Process Bypass
.\INSTALL_WINDOWS.ps1
.\RUN_DEMO_WINDOWS.ps1

Then open demo_output\09_integration_summary.json.

Linux or macOS

Install and run

bash install.sh
bash run_demo.sh

Then open demo_output/09_integration_summary.json.

Local AI may be upstream, not authoritative

A user-selected local model may help draft a task description or candidate interpretation. The model remains a separate component. It cannot grant itself source support, evidence, consent, a favorable mapping, scientific status, or authority.

Research record. Preserve the model name and version, prompt, source material, settings, raw output, human edits, module receipts, and final human decision. Governance gains are system-level observations, not proof that the model became more intelligent.

Support, correction, and voluntary giving

Report documentation errors, reproducible defects, accessibility issues, or security concerns with the exact release ZIP SHA-256 and clear steps. Do not send passwords, private keys, or sensitive personal data. Voluntary donations support public-interest review and maintenance; access never depends on a gift.