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Table · dataset · 2026

Insuring the Fallback: Capital, Monitoring, and the Certification of Preserved Human Capability under Improving AI — Replication Package

Listed in figshare and Loughborough Research Repository — shown once because both records carry DOI 10.6084/m9.figshare.33193704.v4

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<p dir="ltr">Replication package for "Insuring the Fallback: Capital, Monitoring, and the Certification of Preserved Human Capability under Improving AI" (Andreas Bauer, September 2026), manuscript version 8.1 as on arXiv:2609.26172v2.</p><p dir="ltr">Contents: sim/model_v8.py (every closed form used in the paper, exactly once), sim/make_numbers.py (results.json -> paper/numbers.tex, including the 1000-draw robustness check), sim/make_figures.py (all figures), results/results.json and results/params.json (every number quoted in the manuscript and the scenario parameters), scripts/fix_bbl.py (companion-paper order in the bibliography), paper/ (LaTeX source of the paper and the online appendix, bibliography, figures, compiled PDFs).</p><p dir="ltr">Reproduction: python3 sim/make_numbers.py; python3 sim/make_figures.py; then pdflatex/bibtex as in the README.

Requires numpy and matplotlib; runtime about two minutes. No number is typed into the manuscript: every quoted value is an auto-generated LaTeX macro.</p><p dir="ltr">Version 3 (September 2026) replaces version 2 (August 2026, subtitle "Capacity, Monitoring and the Third Audience"). The continuous separating schedule of v2 is withdrawn (Appendix B); the equilibrium is now a binary certificate menu with an explicit null option and the client's expected recovery in the price.

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Title, notation and all numerical results changed accordingly.</p><p dir="ltr">The model builds on four companion papers: arXiv:2607.26327 (published in Games 17(5):49, doi:10.3390/g17050049), arXiv:2608.04276, arXiv:2608.05969 and arXiv:2609.26141. Table 2 of the manuscript states the provenance of every model component.</p>

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Provenance · 2 source records, 33 field assertions
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figshareoai:figshare.com:article/331937044 d agoJSON v1
Loughborough Research Repositoryoai:figshare.com:article/331937044 d agoJSON v1
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