Constraint-Based Legal Liability
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Constraint-Based Legal Liability | Zenodo Skip to main Communities My dashboard Log in Sign up Zenodo is currently experiencing slowness and intermittent outages due to heavy automated traffic from bots and AI crawlers. We are aware of the problem, and our team is focused on stabilizing the service. Thank you for your patience. Structural Stability Science (SSS) Published May 1, 2026 | Version v1 Publication Open Constraint-Based Legal Liability Authors/Creators Tonucci, Cara (Researcher) 1 Show affiliations 1.
Somatic Rising Institute Description Constraint-Based Legal Liability defines structural liability conditions in legal systems operating under load. This document applies Dimensional Human Field Theory (DHFT), a constraint-based system defined by invariant variables: Load (L), Capacity (C), and Boundary (B), to liability conditions in legal systems. Structural liability conditions are determined by structural relations of Load (L), Capacity (C), and Boundary (B). Liability outputs are derived from system conditions and do not constitute system variables. Fault, blame, and intent do not constitute structural variables. All admissible descriptions reduce to Load (L), Capacity (C), and Boundary (B). Projection preserves invariant variables, structural relations, and constraint conditions. No additional variables are introduced. System Relation This document is part of the Dimensional Human Field Theory (DHFT) Projection Series. Related technical documents include: Dimensional Human Field Theory (DHFT): Architectural Identification of a Closed Explanatory System — DOI: 10.5281/zenodo.19075948 DHFT Technical Note: Admissibility Conditions: Valid System Description — DOI: 10.5281/zenodo.19572188 All documents preserve invariant variables, structural relations, and constraint conditions. All admissible system descriptions reduce to Load (L), Capacity (C), and Boundary (B). OSF Repository: https://osf.io/9psmd/ Files DHFT–Projection–Legal_Systems–Paper_3–Legal_Liability–v1.pdf.pdf Files (117.9 kB) Name Size Download all DHFT–Projection–Legal_Systems–Paper_3–Legal_Liability–v1.pdf.pdf md5:526f6d814973a8769842ccb7349ef6bb 117.9 kB Preview Download Additional details Additional titles Subtitle Structural Conditions of Load Assignment Using Dimensional Human Field Theory (DHFT) Subtitle DHFT Projection Series — Legal Systems Related works Is part of Publication: 10.5281/zenodo.19075948 (DOI) Dates Created 2026-04-30 Software Repository URL https://osf.io/9psmd/ 42 Views 21 Downloads Show more details All versions This version Views Total views 42 42 Downloads Total downloads 21 21 Data volume Total data volume 3.2 MB 3.2 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords DHFT DHP DSA SSS Details DOI DOI Badge DOI 10.5281/zenodo.19955012 Markdown [](https://doi.org/10.5281/zenodo.19955012) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19955012.svg :target: https://doi.org/10.5281/zenodo.19955012 HTML <a href="https://doi.org/10.5281/zenodo.19955012"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19955012.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19955012.svg Target URL https://doi.org/10.5281/zenodo.19955012 Resource type Publication Publisher Zenodo Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Copyright © 2026 Cara Tonucci. All rights reserved. Citation Export Technical metadata Created May 1, 2026 Modified May 1, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies
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