Living Evidence Compendium

The Universal & Atomic Elements of Organization

A falsifiable scientific theory proposing that the same irreducible structures organize both thought and reality — from the quantum to the social scale.

What if the same structures that organize your thoughts also organize the world? Explore the hypothesis

O-Theory proposes that four irreducible structures — Distinctions, Systems, Relationships and Perspectives (DSRP) — form the universal grammar of organization. Rather than being merely useful ways of thinking, these structures are hypothesized to be the atomic elements from which every organized phenomenon emerges, whether in cognition, biology, physics, mathematics, society, or the cosmos.

DS RP
DistinctionsSystemsRelationshipsPerspectives
Identity ↔ OtherPart ↔ Whole Action ↔ ReactionPoint ↔ View
D := (i ↔ o)S := (p ↔ w) R := (a ↔ r)P := (ṗ ↔ v)

This is a living scientific evidence compendium: an open, continually evolving collection of independent empirical research, formal theory, mathematical proofs, cross-disciplinary analyses, applications, critiques, and proposed falsifications. Every entry is included because it supports, refines, challenges, or attempts to falsify the theory.

Scientific theories are strengthened not only by evidence that confirms their predictions, but also by surviving attempts to falsify them. This compendium brings both together: independent evidence from researchers who were not testing DSRP and proposed counterexamples evaluated against the formal theory.

One counterexample is enough to falsify O-Theory. Until then, the question remains: do the same four structures organize everything from quantum systems to human thought?

Try a demonstration yourself Why is this convergent evidence compelling? See why independent convergence is one of science’s strongest forms of evidence.

independent opportunities for the theory to fail.

Independent convergence is one of the strongest forms of scientific evidence because researchers arrive at the same conclusion while investigating different questions for different reasons.

The number is not the point. Researchers in different fields, studying different questions with different methods, repeatedly arrived at the same structural predictions—almost always without testing DSRP or using its language.

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About this collection

This compendium began as the peer-reviewed literature review “A Literature Review of the Universal and Atomic Elements of Complex Cognition,” published in the Journal of Systems Thinking with 109 studies. That paper is the peer-reviewed foundation. What you see here is its living, continuously updated version . New studies are checked before they are added, and the collection now holds and keeps growing. Open any card to see what the researchers found, why it bears on DSRP, and where the original review discusses it, the fuller account.

Cabrera, D., Cabrera, L., & Cabrera, E. A Literature Review of the Universal and Atomic Elements of Complex Cognition. Journal of Systems Thinking. · Cornell University & Cabrera Research Lab.

How to cite this collection

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The collection is updated continuously, so the citation carries the date you consulted it rather than a study count — the count changes weekly, and putting it in the reference would make the same collection look like a different work to everyone who cites it. To cite a single claim or study, use its own address: every one has a permanent link.

About this record

This is the adversarial half of the compendium. Where the evidence track asks what converges on DSRP, this one asks what would end it: a single organized phenomenon whose structure needs a fifth pattern, a ninth element, or a fifth structural dynamic. It holds written up from candidates across territories, and resolutions — the general answers those cases settle against. Every case is published whether it held or failed, including the ones still open.

How to cite the counterexamples and resolutions

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Cite this rather than the evidence collection when the point is what survived attack. The two are separate works with separate addresses: one asks what converges on the theory, the other asks what would end it, and a reference to the first does not support a claim about the second. Case and resolution numbers change when the record is revised, so cite a case by its own permanent link rather than by number.

Know of work that belongs here?

This collection is meant to keep growing. Send us a study, paper, book or critique that bears on DSRP, whether it supports the theory or cuts against it, and we will read it and decide whether it belongs.

 

DSRP Evidence

3D point cloud lithology identification based on stratigraphically constrained continuous clustering

Details

Authors Binqing Gan, Ran Jing, Yanlin Shao, Yuangang Liu, Xiaolei Duan, Peijin Li, Longfan Li

Year 2025

Publisher Scientific Reports

Kind of work article

Discipline Geology

Applied false

Read it at the publisher 10.1038/s41598-025-18946-3

In authors' words

Abstract

Three-dimensional laser scanning provides high-precision spatial data for automated lithology identification in geological outcrops. However, existing methods exhibit limited performance in transition zones with blurred boundaries and demonstrate reduced classification accuracy under complex stratigraphic conditions. This study proposes a Stratigraphically Constrained Continuous Clustering (SCCC) framework to address these limitations.

What they set out to do (purpose)

To develop an automated method for identifying rock types in 3D laser-scanned point clouds of geological outcrops, particularly across blurred stratigraphic transition zones.

Who or what was studied (sample)

A terrestrial-laser-scanning point cloud of approximately 56 million points from the Qingshuihe Formation outcrop, Junggar Basin, Xinjiang, China.

How they did it (methods)

A two-stage Stratigraphically Constrained Continuous Clustering framework combining hierarchical clustering constrained by stratigraphic principles with random-forest classification, benchmarked against traditional and deep-learning methods.

What they found (results)

The stratigraphically constrained clustering method achieved 94.64% overall classification accuracy and 90.87% mean intersection-over-union, exceeding traditional and deep-learning baselines by 26-68%, including in previously error-prone transition zones between rock layers.

Commentary

In short

Accurate lithology mapping required explicitly modeling the boundary distinctions between rock units as constrained by their nested position within the larger stratigraphic system.

Patterns it shows D, S

Added 2026-09-26

How to cite this Binqing Gan, Ran Jing, Yanlin Shao, Yuangang Liu, Xiaolei Duan, Peijin Li, Longfan Li (2025). 3D point cloud lithology identification based on stratigraphically constrained continuous clustering. Scientific Reports.