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Relational Threat Fields in AI-Mediated Cyber Operations

A public GitHub package for the comparative case study “Relational Threat Fields in AI-Mediated Cyber Operations: A Comparative Case Study” by Stefan Lankiewicz.

The repository contains the public preprint PDF, its Markdown source, five rendered/vector figures, case cards, the comparison matrix, the relational map, and the frozen evidence bundle used for provenance. It is prepared for manual upload to GitHub; no Git history or remote is created here.

Publication records

The PDF in paper/ is byte-identical to the public preprint deposited at Zenodo record 22747947. The OUP submission working version is maintained separately in the project workspace and is not silently represented as the published preprint.

Contents

Path Description
paper/ Public preprint PDF, Markdown source, abstract, keywords, and declarations.
figures/ Five SVG/PNG figures and their Mermaid source files.
supplementary/cases/ Five evidence-disciplined case cards.
supplementary/comparison/ Cross-case matrix and RTF relational map.
supplementary/evidence/ Evidence register, source register, extraction notes, and frozen evidence ZIP.
docs/ Public-use and provenance notes.

Scope and evidence boundaries

This is a bounded comparative case study. The cases have different mechanisms, human roles, autonomy levels, and evidence quality. RTF is used as an interpretive vocabulary for relations among agents, operators, tools, persistent state, communication paths, access rules, and evaluation or campaign objectives. The study does not claim that agents acquired consciousness or biological life, that the cases share one collective mind, or that the cases quantitatively validate RTF, TPMAF, or a detector. Source-reported fact, interpretation, and missing evidence are kept separate in the case cards and evidence register.

The evidence ZIP is also archived as the separate Zenodo Dataset record above. Its third-party source copies remain subject to the terms stated by their respective publishers; the register records provenance and access dates.

Citation

Please cite the public preprint using CITATION.cff. For the evidence bundle, cite the separate Zenodo Dataset DOI.

AI-assisted preparation

OpenAI ChatGPT/Codex and Anthropic Claude were used as AI-assisted tools for discussion, organization, language assistance, source comparison, and preparation of working materials. The author reviewed and edited the manuscript and takes full responsibility for its content.

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