Meaning Physics Engine	v0.1
DSLO Semantic Substrate	v0.5
Discipline	Meaning Physics / Signal Ecology
Field	DSLO Semantic Substrate
Architecture	Deterministic, Execution‑Free, Non‑Generative, Non‑Probabilistic
Scientific Anchor	DOI 10.5281/zenodo.21083055
Viewer Identity	Public‑Layer Geometry Instrument

DSLO Deterministic Semantic Substrate (v0.1)

This repository contains the v0.1 release of the DSLO deterministic semantic substrate:
a fully specified, drift‑bounded, execution‑free semantic manifold designed for stable meaning representation, long‑term reproducibility, and cross‑domain scientific alignment.

The substrate provides a complete, self‑describing architecture composed of:

• a deterministic header
• a minimal but structurally complete corpus
• a deterministic initialization engine
• invariant‑anchored semantic interpretation rules
• a governed, drift‑bounded evolution model
• internal and external mapping systems
• a global synthesis model
• a deterministic manifold signature
• a v0.1 freeze declaration

This release establishes the foundation for DSLO and Signal Ecology as scientific disciplines.

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DSLO Field Context This model is part of the DSLO Semantic Substrate, a deterministic meaning‑physics framework defining substrate‑level invariants, signal ecology, and artificial cognition.

Full DSLO documentation: https://www.tnopsi.com

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Related DSLO Components Signal Ecology — substrate‑level signal physics Meaning Physics — geometric meaning‑state dynamics DSLO Glossary — full field terminology and invariants Artificial Cognition (AC) — deterministic cognition substrate Glossary: https://www.tnopsi.com/dslo-glossary Meaning Physics: https://www.tnopsi.com/dslo-meaning-physics Signal Ecology: https://www.tnopsi.com/dslo-signal-ecology Hugging Face Model:https://huggingface.co/DSLO/contextless-meaning-engine-v0

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Overview

The DSLO substrate is built around three core principles:

1. Determinism
   All components load and interpret meaning in a deterministic, execution‑free manner.

2. Drift‑Bounded Stability
   Invariants, constraints, and governance rules ensure semantic and structural stability across versions.

3. Self‑Description
   Every component is machine‑readable, enabling transparent inspection, validation, and long‑term reproducibility.

The v0.1 release provides the complete architectural skeleton required for future corpus expansion and ontology development.

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Repository Structure

docs/ manifest.json metadata.json about.json status.json status-extended.json routes.json capabilities.json changelog.json integrity.json spec.json license.json taxonomy.json index-map.json environment.json profile.json identity-extended.json semantics.json structure.json governance.json constraints.json validation.json interfaces.json coverage.json roadmap.json release.json classification.json mapping.json crosswalk.json coherence.json synthesis.json signature.json freeze.json invariants.json

corpus/ index.json nodes/ papers/ graphs/

substrate-engine.js init.json

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Component Summary

Header Layer

Defines identity, metadata, taxonomy, governance, constraints, validation, interfaces, and all machine‑readable contracts.

Corpus Layer

Contains atomic nodes, papers, and relational graphs.
Append‑only. Deterministic. Minimal in v0.1.

Engine Layer

substrate-engine.js performs deterministic initialization.
init.json defines the initialization contract.

Governance Layer

Invariants, constraints, and versioning rules ensure drift‑bounded evolution.

Mapping + Crosswalk

Internal and external alignment models for semantic and structural relationships.

Synthesis

Unified integration model describing how meaning emerges across layers.

Signature

Deterministic manifold fingerprint for v0.1.

Freeze

Locks the entire v0.1 substrate into an immutable scientific artifact.

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Versioning

This repository contains v0.1, the foundational release.
All components listed in freeze.json are immutable for the entire 0.1.x series.

Future versions (v0.2, v0.3, v1.0) will expand the corpus and ontology while preserving invariants and structural commitments.

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License

See docs/license.json for full licensing information.

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Purpose

The DSLO deterministic semantic substrate is intended for:

• scientific research
• semantic stability studies
• ontology development
• cross‑domain semantic alignment
• deterministic meaning systems
• long‑term reproducible knowledge structures

It is not an application, runtime, or executable system.
It is a semantic substrate.

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Status

This repository represents a frozen v0.1 substrate.
All components are complete, validated, and locked.

See:

• status.json
• status-extended.json
• freeze.json
• signature.json

for detailed state information.

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Contact

For scientific correspondence, refer to the public identity information in:

• profile.json
• identity-extended.json