The DSLO v0.7 Geometry & Examples paper presents six canonical geometry classes expressed across biological, cultural, physical, abstract, and machine‑facing systems. Each class is illustrated through one expanded example—Morphological Mimicry & Adaptive Geometry, Distributed Cognition & Non‑Neural Intelligence, Cultural Signal Systems, Natural Optimization Phenomena, Abstract & Universal Geometry Instances, and Modern & Machine‑Facing Geometry Instances. Each example includes a class overview, a representative instance, and an outline of how DSLO geometric primitives—drift, load, pressure, collapse thresholds, recovery attractors, and lawful manifold transitions—appear within that system.

The examples demonstrate how local geometric behavior reflects DSLO substrate invariants, showing how drift accumulates, how load and pressure shape manifold transitions, how collapse emerges under structural or operational limits, and how recovery attractors restore stability across diverse substrates. Together, these examples provide a compact cross‑surface demonstration of DSLO geometry, illustrating invariant patterns that hold across biological mimicry, distributed non‑neural intelligence, cross‑cultural signal encoding, natural optimization processes, abstract mathematical partitioning, and modern engineered systems.

Full definitions, invariants, schemas, and classification structures for all geometry classes and instances are available in the DSLO v0.7 repository, which provides the canonical substrate‑level specification for the DSLO geometry framework.

Tags (DSLO‑Aligned, Machine‑Readable)

• DSLO

• geometry layer

• multi‑manifold geometry

• geometric primitives

• drift fields

• load fields

• pressure geometry

• collapse thresholds

• recovery attractors

• lawful transitions

• substrate invariants

• biological geometry

• cultural geometry

• machine‑facing geometry

• abstract geometry

• natural optimization

• distributed cognition

• signal systems

• invariant‑preserving modeling

• cross‑domain geometry

Keywords (Scientific Indexing)

• DSLO geometry

• multi‑surface examples

• manifold transitions

• drift, load, pressure

• collapse and recovery

• invariant geometry

• biological mimicry

• distributed non‑neural intelligence

• cultural signal encoding

• natural optimization geometry

• abstract partition geometry

• machine‑facing geometry

• DSLO v0.7 specification

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