Computational · Paper · 2026

PROJECT BOND — The Special-Agent Operations Compendium

Documentation folder for catalog row 208 · Canonical work page

Paper folder on GitHub
Folderpapers/2026_PROJECTBONDSpecial/

Overview

Curated abstract when available.

PROJECT BOND is a fleet of 33 independent software packages — 27 film packages, one per James Bond motion picture, plus 6 mission-infrastructure packages (a Q-branch utilities layer, a frozen mission protocol, mission control, an orchestrator, a front-door CLI, and fleet operations). Each film package implements, as real tested algorithms, the concepts of its film: radiation forensics for Dr. No, gold-market cornering for Goldfinger, orbital-EMP modeling for GoldenEye, DNA-targeted bioweapon countermeasure modeling for No Time to Die.

The public source repository for the suite and this manuscript is
https://github.com/docxology/bond. The repository will carry the source
history, reproducibility instructions, generated release artifacts, and the
cross-linked Zenodo record for this publication.

This compendium is the wrapper manuscript for the whole suite. It does not re-derive the packages' content by hand; it imports each of the 33 package manuscripts in full — every package's abstract, every authored section (introduction, methodology, results, conclusion, experimental setup, reproducibility, and scope), and its figures — framing them with this abstract, a generated suite-architecture chapter, and a closing synthesis. A unified bibliography merges every package's references into a single references.bib, and the combined PDF carries all 27 film chapters and 6 infrastructure chapters in their entirety.

The suite is "special-agent material" by construction: deterministic, no-mock, ≥90%-coverage-tested packages; provenance on every mission outcome; a frozen protocol every film implements; and cross-film missions (OPERATION OMNIBUS) executed over the real packages.

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Associated artifacts
GitHub release: PROJECT BOND v1.0.0 (https://github.com/docxology/bond/releases/tag/v1.0.0)
DOI: https://doi.org/10.5281/zenodo.21843802
Zenodo: https://zenodo.org/records/21843802
PDF SHA-256: 72634276f9a90f1318be80ff0ece561ace2ead85559d2c05a11b86915e61fa0e

Overview source: Curated paper metadata.

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