Published August 9, 2026 | Version v0.7
Publication Open

DSLO v0.7 --- Operations Manual: Substrate-Level Architecture, Construction, and Documentation Guide

Authors/Creators

  • 1. Inda Moment Incorporated

Description

The Deterministic Semantic Layered Orchestration (DSLO) is a substrate-level meaning-geometry system that defines lawful behavior for signals, identities, operators, manifolds, legality planes, runtime cycles, and collapse interfaces. DSLO is not a framework or ontology; it is a governed substrate with deterministic invariants that constrain how meaning can move, stabilize, drift, collapse, and recover across human and machine systems.

DSLO v0.7 is structured around six canonical surfaces—glossary, geometry, manifolds, operators, legality planes, and runtime cycles—each expressing curvature, drift, stability, identity, legality, and collapse fields. These surfaces compile through a deterministic generator that produces unified schema, ontology, registry, taxonomy, graph outputs, and collapse geometry.

The DSLO systems manual defines the lawful procedures for constructing, extending, verifying, and documenting DSLO concepts. It specifies architecture rules, legal move sets, surface construction rules, multi-layer expansion laws, source-layer definitions, surface-layer construction, generator-layer integration, manifold extension procedures, operator binding rules, legality-plane constraints, runtime geometry sequences, and unified manifold collapse behavior. All procedures preserve substrate invariants: curvature continuity, drift bounds, stability envelopes, identity coherence, legality alignment, and collapse safety.

The appendix provides the substrate reference layer for DSLO v0.7, including canonical examples, expansion bundles, patch bundles, field definitions, collapse examples, verification procedures, glossary expansion rules, scientific interfaces, and registry snapshots. Together, the systems manual and appendix form the complete DSLO v0.7 specification for architects who must maintain substrate-level consistency and extend DSLO without violating its invariants.

Notes (En)

The DSLO v0.7 Operational Manual defines the lawful procedures, construction rules, and invariant‑preserving methods required to build, extend, and verify DSLO’s multi‑manifold geometry. It formalizes the behavior of signals, identities, operators, legality planes, runtime cycles, and collapse interfaces within a governed substrate. The manual specifies source‑layer definitions, surface‑layer construction, generator‑layer integration, manifold extension rules, operator binding constraints, legality‑plane validation, runtime geometry sequences, and unified collapse behavior. Together with the v0.7 appendix—containing canonical examples, expansion bundles, patch bundles, field definitions, collapse demonstrations, verification procedures, glossary expansion rules, scientific interfaces, and registry snapshots—the Operational Manual provides the complete DSLO v0.7 specification for architects maintaining substrate‑level consistency without violating invariants.

 

Tags (DSLO‑Aligned, Machine‑Readable)

  • DSLO

  • deterministic geometry

  • multi‑manifold systems

  • substrate‑level modeling

  • invariant structures

  • legality planes

  • runtime cycles

  • collapse interfaces

  • manifold curvature

  • drift envelopes

  • stability envelopes

  • identity coherence

  • operator binding

  • geometry surfaces

  • relational geometry

  • thermodynamic geometry

  • DSUP runtime

  • Ω‑Series geometry

  • scientific substrate

  • cross‑domain modeling

 

Keywords (Scientific Indexing)

  • deterministic semantic geometry

  • multi‑layer substrate

  • manifold construction

  • lawful system behavior

  • invariant preservation

  • collapse geometry

  • runtime stability

  • operator rules

  • legality constraints

  • drift and recovery

  • cross‑domain geometry

  • DSLO v0.7 specification

  • substrate‑neutral modeling

 

Zenodo Communities (Safe + Relevant)

  • Complex Systems

  • Computational Geometry

  • Artificial Intelligence

  • Cognitive Science

  • Systems Science

  • Interdisciplinary Physics

  • Machine Learning

  • Theoretical Computer Science

  • Robotics & Autonomous Systems

  • Mathematical Modeling

 

Subject Classifications

ACM Classification

  • I.2.0 Artificial Intelligence — General

  • I.2.6 Learning

  • I.2.9 Robotics

  • F.1.1 Models of Computation

  • G.1.7 Ordinary Differential Equations

  • G.2.1 Combinatorics

  • J.3 Life and Medical Sciences

  • J.4 Social and Behavioral Sciences

arXiv Categories

  • cs.AI

  • cs.RO

  • cs.LG

  • cs.SY

  • math.DG

  • q‑bio.NC

  • physics.bio‑ph

 

Files

DSLO_v0_7_Operations_Manual.pdf

Files (192.6 kB)

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Additional details

Related works

Is referenced by
Software: https://github.com/Signal-Ecology/DSLO-v0.7-Semantic-Substrate-Specificationgithub.com/Signal-Ecology/DSLO-v0.7-Semantic-Substrate-Specification (URL)
Publication: htts://www.tnopsi.com (URL)

Software

Repository URL
https://github.com/Signal-Ecology/DSLO-Substrate-Manifest