JMP0X1B Research

PAPER-030 / June 13, 2026 / corrected September 18, 2026

Planetary Intelligence Sensor Fusion for Water, Agriculture, Infrastructure, and Risk

A local-first JMP0X1B architecture for EO, field sensors, scoring, and simulation

01 / Abstract

Abstract

This paper proposes a local-first sensor-fusion reference architecture. Decision use requires calibrated uncertainty, distribution-shift detection, ground truth, field validation, and governance. No implemented stack, field dataset, calibrated model, or operational performance result is released.

02 / Frame

Research Frame

This landing page publishes the paper as an auditable source bundle. The PDF carries the full mathematical argument, claims, evidence plan, implementation surface, and release notes.

\[ z_t = f(x^{EO}_t,x^{sensor}_t,x^{report}_t,x^{model}_t), \qquad r_t=\mathrm{Risk}(z_t,\sigma_t,C_{\mathrm{action}}). \]
\[ U(a)=\mathbb{E}[B(a,z)-C(a)-L(a,r)] . \]

03 / Structure

Paper Structure

The manuscript follows the JMP0X1B discipline: state the problem, formalize the model, name the claims, and publish enough source material for review and revision.

01 / Problem

This section is included in the source manuscript and the PDF build for review.

02 / Model

This section is included in the source manuscript and the PDF build for review.

03 / Claims

This section is included in the source manuscript and the PDF build for review.

04 / Evidence Plan

This section is included in the source manuscript and the PDF build for review.

04 / Files

Paper Files

The PDF is generated from the LaTeX source. Both are published for auditability and future revision.