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\title{\Large Paper 035 / Application 012\\[0.6em]\textbf{AssuranceForge: Evidence Compilers for Space-Grade Quality, Compliance, and Research Translation}\\[0.3em]\large Connecting requirements, tests, ledgers, provenance, and publication artifacts in JMP0X1B}
\author{JMP0X1B Research Group}
\date{Working paper draft / June 13, 2026}
\begin{document}
\maketitle
\begin{abstract}
AssuranceForge is a proposed evidence compiler for teams moving from research prototypes to space-grade technology. It connects requirements, hazards, tests, simulations, supplier records, calibration files, null ledgers, software releases, and publication artifacts. The goal is to make compliance evidence a natural byproduct of disciplined engineering rather than a separate paperwork phase.
\end{abstract}

\noindent\textbf{Status.} Draft manuscript for review and revision. This paper is not an empirical claim of new physics or field-ready technology. It is a structured proposal, theory note, protocol, or application architecture intended to be auditable, falsifiable, and publishable with source.

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\section{Problem}
Research outputs often die before engineering translation because evidence is scattered. Compliance and mission assurance frameworks require traceability, configuration control, supplier data, verification, validation, and nonconformance handling. The problem is to compile evidence from research artifacts without distorting the scientific record.

\section{Model}
AssuranceForge represents claims, requirements, tests, hazards, artifacts, and sign-offs as typed nodes in a trace graph. Each edge states the relationship: satisfies, verifies, falsifies, supersedes, mitigates, or blocks. The compiler emits audit packs for reviewers, customers, or internal gates.


\[
  \mathcal{T}=(V,E),\qquad E\subset V\times R\times V,
\]
where $R$ is the relation vocabulary for traceability.
\[
  \mathrm{GatePass}=\bigwedge_i \mathrm{Evidence}(req_i)\wedge \bigwedge_j \mathrm{Mitigated}(hazard_j).
\]


\section{Claims}
\begin{enumerate}
\item \textbf{Claim 1.} Research artifacts can be compiled into assurance evidence if provenance and claim boundaries are preserved.
\item \textbf{Claim 2.} Null results and failed tests should become traceable risk reductions or design constraints.
\item \textbf{Claim 3.} An evidence compiler reduces the gap between speculative research, practical subsystem development, and regulated aerospace processes.
\item \textbf{Claim 4.} JMP0X1B typed contracts can make assurance data machine-checkable without removing human review.
\end{enumerate}

\section{Evidence Plan}
The prototype should compile an audit pack for a cryogenic subsystem trade, a digital-twin validation run, and a laboratory null experiment. Reviewers should be able to trace every top-level claim to source artifacts or mark it unsupported.

\section{JMP0X1B Implementation Surface}
JMP0X1B packages for requirements traceability, compliance evidence, provenance, risk registers, supplier trace, and document control form the natural implementation base.

\subsection*{Illustrative JMP0X1B-style contract}
\begin{verbatim}
record TraceEdge { from: ArtifactId, relation: Relation, to: ArtifactId, evidence: Digest }
fn compile_audit_pack(graph: TraceGraph, gate: AssuranceGate) -> AuditPack effects{Traceability, Provenance, DocControl}
\end{verbatim}


\section{Release And Review Plan}
Release trace schemas, example audit packs, relation vocabulary, and a comparison between paper claims and assurance claims.

\section{Open Questions}
\begin{itemize}
\item Which assurance framework should be the first target profile?
\item How should speculative claims be labeled so they cannot leak into engineering requirements?
\item Can supplier data be summarized while preserving audit usefulness?
\item What human review workflow is required for high-stakes gates?
\end{itemize}

\section{Conclusion}
AssuranceForge is the bridge from research.jmp0x1b.com papers to deployable technology. It preserves scientific humility while preparing evidence for serious engineering.

\section*{References}
\begin{thebibliography}{99}
\bibitem{jmp011} JMP0X1B Research Group. \emph{From Speculative Superconducting Claims to Practical Spacecraft Power and Magnetic Subsystems}. Working paper, 2026. \url{https://research.jmp0x1b.com/papers/superconducting-spacecraft-subsystems.html}
\bibitem{jmp023} JMP0X1B Research Group. \emph{A Research Program for Maxwell-Compatible Projection Electromagnetism}. Working paper draft, 2026. \url{https://research.jmp0x1b.com/papers/a-research-program-for-maxwell-compatible-projection-electromagnetism.html}
\bibitem{jmp028} JMP0X1B Research Group. \emph{CryoBus: A Spacecraft Superconducting Power and Magnetic Subsystem Design Toolchain}. Working paper draft, 2026. \url{https://research.jmp0x1b.com/papers/cryobus-a-spacecraft-superconducting-power-and-magnetic-subsystem-design-toolcha.html}
\bibitem{jmp032} JMP0X1B Research Group. \emph{ResearchPack: A Reproducible PDF, LaTeX, Artifact, and Errata Pipeline for research.jmp0x1b.com}. Working paper draft, 2026. \url{https://research.jmp0x1b.com/papers/researchpack-a-reproducible-pdf-latex-artifact-and-errata-pipeline-for-research-.html}
\bibitem{as9100} SAE International. \emph{AS9100D: Quality Management Systems - Requirements for Aviation, Space, and Defense Organizations}. 2016.
\bibitem{prov} World Wide Web Consortium. \emph{PROV-DM: The PROV Data Model}. W3C Recommendation, 2013. \url{https://www.w3.org/TR/prov-dm/}
\bibitem{wilkinson} M. D. Wilkinson et al. The FAIR Guiding Principles for scientific data management and stewardship. \emph{Scientific Data}, 3:160018, 2016.
\bibitem{jmp_provenance} JMP0X1B. \emph{jmp0x1b\_provenance package}. \url{https://libs.jmp0x1b.com/packages/jmp0x1b_provenance}
\bibitem{jmp_lang_spec} JMP0X1B. \emph{jmp0x1b\_lang\_spec package}. \url{https://libs.jmp0x1b.com/packages/jmp0x1b_lang_spec}
\bibitem{jmp_libs} JMP0X1B. \emph{jmp0x1b Package Registry}. \url{https://libs.jmp0x1b.com/}
\end{thebibliography}

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