---
name: "A template/ approach to Reproducible Generative Research"
description: "The reproducibility crisis in computational research is fundamentally structural: research artifacts are scattered across disconnected tools—LaTeX editors, Jupyter notebooks, ad-hoc shell scripts—with no enforced mechanism to keep code, data, and man..."
tags: ["reproducible-research", "infrastructure-as-code", "steganography", "cryptographic-provenance", "latex-rendering", "modular-infrastructure", "publication-integrity", "zero-mock-testing", "thin-orchestrator", "two-layer-architecture"]
domain: "Computational"
citation: "Daniel Ari Friedman (2026). *A template/ approach to Reproducible Generative Research*. Computational."
doi: "10.5281/zenodo.20419007"
---

# A template/ approach to Reproducible Generative Research

**Daniel Ari Friedman** (2026) · Computational

## Context

This work addresses topics in **Computational**: reproducible research, infrastructure-as-code, steganography, cryptographic provenance.

## Methods

Primary methods and techniques applied in this work:

- Software pipeline design
- Data-driven analysis

## Key Findings

Core contributions and results:

- The reproducibility crisis in computational research is fundamentally structural: research artifacts are scattered across disconnected tools—LaTeX editors, Jupyter notebooks, ad-hoc shell scripts—with
- Studies have shown that most published findings are false positives, replication rates in psychology hover around 36%, and only 24% of 1.4 million Jupyter notebooks can be successfully re-executed.

## Related Works

- [2023_NSFReporting](../2023_NSFReporting/)
- [2023_NaturalAIBased](../2023_NaturalAIBased/)
- [2025_AuBI](../2025_AuBI/)

## Validation

Verification points for this work:

- DOI: 10.5281/zenodo.20419007
- PDF SHA-256: 535bd80943d0ae9fd504a926efb41c6b39c3a812a94ea4d51bc974029bca563c
- Pairing confidence: strong
- Last checked: 2026-07-01T00:30:10Z

## Prerequisites

- Familiarity with reproducible research, infrastructure-as-code, steganography
- Background in Computational fundamentals
- Access to source repository: N/A

## Instructions

When working with this paper:

1. Reference the DOI for citation: `10.5281/zenodo.20419007`
2. Apply methods listed in the Methods section for related analysis.
3. Validate findings against the original PDF and metadata.