---
license: mit
language:
- en
tags:
- dslo
- v0.7 release cluster
- structured ingestion
- semantic substrate
- multi-manifold geometry
- scientific metadata
- thermodynamic drift
---
# DSLO v0.7 — Semantic Substrate Specification (Machine-Facing Mirror)

This dataset provides the machine-facing mirror of the DSLO v0.7 Semantic Substrate
Specification. It exposes the structured geometry primitives, legality invariants,
cross-surface bindings, and substrate-level metadata used across the DSLO v0.7 release
cluster. The canonical, citable artifacts remain the DOI-minted Zenodo records; this
dataset serves strictly as an ingestion mirror for computational systems, tooling, and
automated reasoning workflows.

---

## Referenced DSLO v0.7 Artifacts (Canonical DOIs)

- **DSLO v0.7 — Geometry Layer (Thermodynamic Drift)**  
  DOI: 10.5281/zenodo.21864007

- **DSLO v0.7 — Operational Manual (Substrate Architecture)**  
  DOI: 10.5281/zenodo.21864226

- **DSLO v0.7 — Geometry Examples (Drift, Collapse, Recovery)**  
  DOI: 10.5281/zenodo.21864440

- **DSLO v0.7 — Semantic Substrate Metadata Record**  
  DOI: 10.5281/zenodo.21865818

---

## Purpose of This Mirror

The DSLO v0.7 Semantic Substrate Specification is mirrored on Hugging Face to support
machine ingestion, structured analysis, and downstream tooling. This mirror provides a
model-friendly representation of the v0.7 substrate logic, enabling computational
systems to interact with DSLO’s geometry primitives, legality invariants, and
cross-surface bindings. All canonical citations must reference the DOI-minted Zenodo
artifacts; this dataset is a convenience mirror for machine-facing workflows.

---

## Dataset Structure

/spec/        — substrate-level geometry primitives
/surfaces/    — cross-surface bindings
/invariants/  — legality-plane and collapse-safety invariants
/examples/    — machine-facing examples aligned with v0.7
/metadata/    — structured metadata for ingestion engines


Each directory mirrors the structure of the GitHub repository to ensure consistency
across ingestion surfaces.

---

## Metadata

- **Version:** v0.7  
- **Release Date:** 2026-08-010  
- **Canonical DOI:** 10.5281/zenodo.21865818  
- **License:** MIT  
- **Homepage:** https://www.tnopsi.com  
- **Source Repository:** https://github.com/DSLO/DSLO-v0.7-Semantic-Substrate-Specification  
- **Mirror:** Hugging Face dataset for machine ingestion

---

## DSLO v0.7 Release Cluster Recap

DSLO v0.7 establishes a unified, lawful multi-manifold geometry that advances the
discipline across its thermodynamic, operational, and cross-domain surfaces. The
Geometry Layer formalizes drift, load, synthetic pressure, collapse thresholds,
recovery attractors, and lawful manifold transitions as curvature-based primitives
that apply consistently across biological, cultural, abstract, physical, and
machine-facing systems.

The Operational Manual defines the invariant-preserving procedures for constructing,
validating, and documenting DSLO surfaces, including architecture rules, operator
binding constraints, legality-plane verification, runtime-cycle sequencing, and
collapse-safety requirements.

The Geometry Examples demonstrate how DSLO invariants manifest across diverse
substrates—mimicry, distributed non-neural intelligence, cultural signal encoding,
natural optimization, abstract partitioning, and engineered systems—showing how local
geometric behavior reflects global substrate laws.

The Semantic Substrate Specification mirrored here provides the structured,
machine-ingestible representation of the v0.7 substrate logic, enabling computational
systems to interact with DSLO’s scientific surfaces in a model-friendly format.

Together, these artifacts form a coherent v0.7 release cluster that establishes DSLO’s
substrate-level geometry and enables lawful traversal, unified thermodynamic modeling,
and cross-domain stability analysis for human–machine systems.

---

## Keywords

dslo, semantic substrate, multi-manifold geometry, legality invariants,
thermodynamic drift, collapse-safety, machine-facing substrate,
scientific metadata, v0.7 release cluster, structured ingestion

**Referenced DSLO v0.7 Artifacts**  
**DOI Set — Substrate‑Skin (A0, A4, A5, A6, B1, F2)**