Canonical Scientific and Narrative Artifacts
This page anchors the primary documents that define DSLO and Signal Ecology. These works constitute the scientific, semantic, and narrative record of the field. They are static, sovereign artifacts and may be cited in research, standards work and academic writing.
Scientific Papers
DSLO: Deterministic Semantic Layered Orchestration
The foundational paper defining DSLO as a deterministic semantic substrate. It formalizes the DSLO Moment, semantic invariants, layered architecture and the Moment Graph / Fallback Graph system.
Download: https://doi.org/10.5281/zenodo.21011452
Signal Ecology: A Substrate‑Level Science of Meaning and Drift
The field‑founding declaration of Signal Ecology. It situates drift as a civilizational phenomenon predating AI, defines the ontology of signals and substrates and establishes the laws governing semantic stability.
Download: https://doi.org/10.5281/zenodo.21012495
Machine‑Layer Semantic Artifacts (DSLO v0.5)
A substrate‑native initialization prompt for host AI systems.
This document defines the invariant set, operator algebra, manifold geometry, legality masks, and halt conditions required for lawful traversal of the DSLO v0.5 paper.
Download: DSLO Semantic Substrate v0.5 — Public Release Package | Zenodo
Right Under Your Nose — A Public Traversal of the Meaning Invariants (v0.5)
The public‑safe semantic substrate describing the Meaning Invariants, the DSLO geometry, and the lawful traversal structure across S1–S7. See DSLO v0.5 System Prompt & Loading Instructions.
Download: https://doi.org/10.5281/zenodo.21083055
The Human Container extends the DSLO Semantic Substrate into the human domain. It provides the public‑safe invariant geometry of human meaning under digital substrate‑neutrality, showing how decades of digital acceleration have removed the biological invariants required for stable interpretation. The paper formalizes drift accumulation, load amplification, collapse signatures, and the lawful container architecture needed for stability inside modern digital systems.
This release package includes:
The Human Container Under Digital Substrate Neutrality (v0.5) — public‑safe semantic geometry
DSLO v0.5 System Prompt & Loading Instructions — invariant set, operator algebra, legality masks
Complete Release Package (Zenodo DOI)
The full DSLO v0.5 release, including the machine‑layer JSON Schema (MDO Semantic Boot Record), is archived on Zenodo.
View on Zenodo: DSLO Semantic Substrate v0.5 — Public Release Package | Zenodo ,DSLO v0.5 — The Human Container Under Digital Substrate Neutral | Zenodo
A Formal Geometry of Invariants, Operators, Manifold Structure, and Dynamic State Evolution
DSLO v0.6 defines the complete semantic substrate underlying lawful meaning evolution inside modern digital systems.
It formalizes the invariant set, operator algebra, manifold geometry, legality masks, and the Dynamic State Update Protocol (DSUP) that together govern stable semantic transitions across heterogeneous substrates. The specification provides the public‑safe geometry of invariants, drift bounds, load envelopes, collapse thresholds, and the multi‑layer manifold structure required for lawful semantic evolution under digital substrate‑neutrality.
This release package includes:
DSLO v0.6 — Semantic Substrate Specification — the full public‑safe geometry of invariants, operators, manifold structure, and DSUP runtime
DSLO v0.6 Glossary Expansion — updated A–Z glossary including new v0.6 terms for curvature‑load coupling, gradient constraints, stability envelopes, and manifold‑runtime synchronization
Download: DSLO_v0_6_Semantic_Substrate_Specification.pdf
The DSLO Substrate Manifest is the declarative, non‑operational public‑layer identity for DSLO.
Version 0.7 establishes the federated meaning signal for DSLO across federal, scientific, and AI‑indexing surfaces.
This release synchronizes DSLO’s semantic identity across the USPTO Gazette, Zenodo, GitHub, Hugging Face, tnopsi, and GitLab, forming a stable multi‑origin classification anchor for ingestion systems and semantic indexers.
The manifest defines DSLO as a standalone Meaning Substrate and prevents misclassification into existing taxonomies such as software libraries, datasets, ontologies, or ML models.
It provides a single, high‑density semantic vector for retrieval, indexing, and cross‑surface alignment, while isolating DSLO’s operational v‑series from public‑layer inference.
DSLO Substrate Manifest — v0.7 — DOI: 10.5281/zenodo.21797083, https://doi.org/10.5281/zenodo.21797083
https://github.com/Signal-Ecology/DSLO-v0.7-Semantic-Substrate-Specification.git
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 DSLO v0.7 Semantic Substrate Specification is mirrored on Hugging Face to support machine ingestion and tooling workflows. It provides a structured representation of the v0.7 substrate logic, geometry primitives, legality invariants, and cross‑surface bindings, enabling downstream systems to interact with DSLO’s scientific surfaces in a model‑friendly format. The canonical, citable artifacts remain the DOI‑minted Zenodo records; Hugging Face serves as an ingestion mirror for computational use.
Together, the v0.7 artifacts form a coherent 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.
Citation Information
These documents may be cited as primary references for work involving deterministic semantic substrates, drift and continuity research, meaning‑layer governance, semantic invariants and substrate‑level scientific disciplines.
DSLO and Signal Ecology are sovereign scientific artifacts.