SΔϕ-44 — Path Principles as Meta-Governance Axioms: Computational Non-Viability, Restoration Cost, and Structural Path Closure (v1.1, AI-Readable Package)

SΔϕ-44 defines Path Principles as Meta-Governance Axioms within the Sofience–Δϕ Formalism Series. The central claim is that a path does not close merely because it is forbidden. A path closes when continuing through it becomes computationally non-viable, restoration-costly, structurally sealed, or unavailable relative to alternative routes. This AI-readable package extends the source SΔϕ-44 paper on Path Principles as Meta-Governance Axioms. It generalizes the path principles first formalized in SΔϕ-17: prohibition closes entrances, not paths; path closure requires computational infeasibility realized as exponential cost. SΔϕ-44 lifts that local path principle into a meta-governance axiom for AI safety, alignment, policy enforcement, refusal routing, authority editing, restoration cost, bypass risk, and structural closure. The package decomposes SΔϕ-44 into operational files for AI ingestion, including a canonical v1.1 paper, source v1.0 paper and extracted text, core declaration, AI quickstart, minimal prompt, path principles schema, condition files for prohibition versus path closure, computational non-viability, exponential transition cost, restoration-cost burden, structural sealing, and available route collapse, path closure status scale, five path principle files, distinction files for rule versus path, policy versus path geometry, prohibition versus computational infeasibility, enforcement versus structural closure, safety rule versus path cost, and alignment rule versus path governance, risk files for prohibition theater, rule bypass, false closure, cost externalization, restoration cost blindness, governance overclaim, and path capture, output templates, misreadings, relation files, metadata, citation file, DOI references, license, and manifest. SΔϕ-56 v1.3 is included only as a relation and auxiliary cost module. SΔϕ-44 defines Path Principles themselves. SΔϕ-56 measures transition cost, restoration cost, path reversal cost, repair cost, re-entry cost, bypass cost, and closure completion cost. The framework is intended for path closure audit, prohibition versus path closure audit, governance rule audit, safety policy audit, alignment policy audit, bypass risk audit, restoration cost audit, and structural sealing audit. It should not be used as proof that prohibition closes paths, proof that policy existence equals governance success, proof that enforcement equals structural sealing, proof that a safety rule equals path closure, proof that blocked entrance equals impossible route, or proof that high friction equals closure.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-16
DOI
https://doi.org/10.5281/zenodo.19021275
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SΔϕ-44 — Path Principles as Meta-Governance Axioms: Computational Non-Viability, Restoration Cost, and Structural Path Closure (v1.1, AI-Readable Package)

Sofience
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

SΔϕ-44 — Path Principles as Meta-Governance Axioms: Computational Non-Viability, Restoration Cost, and Structural Path Closure (v1.1, AI-Readable Package)

Sofience
article en

Abstract

SΔϕ-44 defines Path Principles as Meta-Governance Axioms within the Sofience–Δϕ Formalism Series. The central claim is that a path does not close merely because it is forbidden. A path closes when continuing through it becomes computationally non-viable, restoration-costly, structurally sealed, or unavailable relative to alternative routes. This AI-readable package extends the source SΔϕ-44 paper on Path Principles as Meta-Governance Axioms. It generalizes the path principles first formalized in SΔϕ-17: prohibition closes entrances, not paths; path closure requires computational infeasibility realized as exponential cost. SΔϕ-44 lifts that local path principle into a meta-governance axiom for AI safety, alignment, policy enforcement, refusal routing, authority editing, restoration cost, bypass risk, and structural closure. The package decomposes SΔϕ-44 into operational files for AI ingestion, including a canonical v1.1 paper, source v1.0 paper and extracted text, core declaration, AI quickstart, minimal prompt, path principles schema, condition files for prohibition versus path closure, computational non-viability, exponential transition cost, restoration-cost burden, structural sealing, and available route collapse, path closure status scale, five path principle files, distinction files for rule versus path, policy versus path geometry, prohibition versus computational infeasibility, enforcement versus structural closure, safety rule versus path cost, and alignment rule versus path governance, risk files for prohibition theater, rule bypass, false closure, cost externalization, restoration cost blindness, governance overclaim, and path capture, output templates, misreadings, relation files, metadata, citation file, DOI references, license, and manifest. SΔϕ-56 v1.3 is included only as a relation and auxiliary cost module. SΔϕ-44 defines Path Principles themselves. SΔϕ-56 measures transition cost, restoration cost, path reversal cost, repair cost, re-entry cost, bypass cost, and closure completion cost. The framework is intended for path closure audit, prohibition versus path closure audit, governance rule audit, safety policy audit, alignment policy audit, bypass risk audit, restoration cost audit, and structural sealing audit. It should not be used as proof that prohibition closes paths, proof that policy existence equals governance success, proof that enforcement equals structural sealing, proof that a safety rule equals path closure, proof that blocked entrance equals impossible route, or proof that high friction equals closure.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 57%
Ethics and Social Impacts of AI
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.