Information-Theoretic Indications of Lorentzian Signature Emergence: Technical Report on the IRIS Framework v1.0

We present IRIS, an exploratory information-theoretic framework investigating how spacetime structure may emerge from quantum-informational principles. CORE NUMERICAL FINDING:Computational minimization of an information functional I[ρ] on finite quantum systems (N=60) provides model-dependent evidence that states with Lorentzian spacetime signatures are informationally favored over Euclidean configurations (ΔI = 33.29 > 0, robust under parameter variations). This suggests that causal, time-oriented spacetime may arise as a preferred informational configuration rather than being imposed a priori. THEORETICAL CONTEXT:The framework explores connections to M-theory-inspired compactifications (S³×K3), specific topological constraints (r=8, k=9, N=60), and potential implications for Standard Model structures, dark matter (axion-like), dark energy dynamics, and cosmological anomalies. These connections are presented as conceptual hypotheses requiring further analytical and numerical validation. METHODOLOGY:This work documents a human-AI collaborative approach to foundational physics, where conceptual direction was provided by the author with AI systems serving as formalization and computational tools. Complete Python implementation is provided for reproducibility. STATUS:Open research artifact. Not peer-reviewed. The core numerical result is reproducible; broader theoretical implications remain conjectural. No claim of uniqueness, completeness, or experimental confirmation is made. This technical note is shared in the spirit of open scientific exploration, documenting both an interesting numerical observation and a novel research methodology.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-03
DOI
https://doi.org/10.5281/zenodo.18135851
Primary Topic
Biofield Effects and Biophysics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Information-Theoretic Indications of Lorentzian Signature Emergence: Technical Report on the IRIS Framework v1.0

C. Irrthum
Zenodo (CERN European Organization for Nuclear Research)
Biofield Effects and Biophysics
article

Information-Theoretic Indications of Lorentzian Signature Emergence: Technical Report on the IRIS Framework v1.0

C. Irrthum
article en

Abstract

We present IRIS, an exploratory information-theoretic framework investigating how spacetime structure may emerge from quantum-informational principles. CORE NUMERICAL FINDING:Computational minimization of an information functional I[ρ] on finite quantum systems (N=60) provides model-dependent evidence that states with Lorentzian spacetime signatures are informationally favored over Euclidean configurations (ΔI = 33.29 > 0, robust under parameter variations). This suggests that causal, time-oriented spacetime may arise as a preferred informational configuration rather than being imposed a priori. THEORETICAL CONTEXT:The framework explores connections to M-theory-inspired compactifications (S³×K3), specific topological constraints (r=8, k=9, N=60), and potential implications for Standard Model structures, dark matter (axion-like), dark energy dynamics, and cosmological anomalies. These connections are presented as conceptual hypotheses requiring further analytical and numerical validation. METHODOLOGY:This work documents a human-AI collaborative approach to foundational physics, where conceptual direction was provided by the author with AI systems serving as formalization and computational tools. Complete Python implementation is provided for reproducibility. STATUS:Open research artifact. Not peer-reviewed. The core numerical result is reproducible; broader theoretical implications remain conjectural. No claim of uniqueness, completeness, or experimental confirmation is made. This technical note is shared in the spirit of open scientific exploration, documenting both an interesting numerical observation and a novel research methodology.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 98%
Biofield Effects and Biophysics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.