| --- |
| 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)** |
|
|
|
|
