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ZENODO
Preprint . 2026
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Preprint . 2026
License: CC BY NC
Data sources: ZENODO
ZENODO
Preprint . 2026
Data sources: Datacite
ZENODO
Preprint . 2026
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY NC
Data sources: Datacite
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The Geometry of Intervention:A Universal Formula for Intervening in Dissipative Systems, Derived from Two Operations

Authors: van der Klein, Raimo;

The Geometry of Intervention:A Universal Formula for Intervening in Dissipative Systems, Derived from Two Operations

Abstract

This paper derives, from the two fundamental operations of Generative Geometry — hold and cross — a complete theory of intervention in any dissipative process. The theory produces ten structural results: (1) a sequential gate blockade formula with depth correction; (2) five agent functions derived from the two operations, the fractal property, and the cyclic nature of the intervention itself; (3) an opacity formula derived from position 13 (Differentiation); (4) intelligence defined as observation depth, derived from the opacity structure; (5) four intervention strategies named by intervener intent — Dissolution, Disruption, Rejection, Occupation; (6) the mutual arising of depth at the singularity threshold between Conservation and Potentiality; (7) a regime-labelled intervention formula whose four parameters each correspond to one of the four regimes, each derived from first principles; (8) a fractal extension resolving within-phase agent combinations through sub-level coverage; (9) two-component synergy — σ_cascade from sequential dependency and σ_generative from the generative property (Φ > 0) of the intervention encounter, explaining why some drug combinations produce dramatically more than structural coverage predicts; and (10) eight intervention actions (two per sub-phase) that determine the agent's structural effect beyond potency. With per-agent calibration from published single-agent data, the fractal formula with two-component synergy produces 0.2% mean absolute error across eight breast cancer combinations, 0.6% across nine melanoma combinations, and 0.0% across three NSCLC combinations. Across 25 predictions with calibrated parameters, mean absolute error is 0.6%. v2 addendum (March 2026) connects the blockade formula to the Four-State Observer Protocol (10.5281/zenodo.19130570), identifying the intervention formula as T1 (load reduction) within a four-transition framework for durable remission.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research