<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>T — Tracked on STAMPED Principles Examples</title><link>https://deploy-preview-9--stamped-examples-prs.netlify.app/stamped_principles/t/</link><description>Recent content in T — Tracked on STAMPED Principles Examples</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 12 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://deploy-preview-9--stamped-examples-prs.netlify.app/stamped_principles/t/index.xml" rel="self" type="application/rss+xml"/><item><title>Walkthrough: stellar distances from Gaia parallax</title><link>https://deploy-preview-9--stamped-examples-prs.netlify.app/examples/stellar-distance-walkthrough/</link><pubDate>Thu, 12 Mar 2026 00:00:00 +0000</pubDate><guid>https://deploy-preview-9--stamped-examples-prs.netlify.app/examples/stellar-distance-walkthrough/</guid><description>Incrementally builds a research object from a bare script to a tracked, portable, reproducible pipeline — motivated by real problems, not by acronym order.</description></item><item><title>From Script to STAMPED Research Object</title><link>https://deploy-preview-9--stamped-examples-prs.netlify.app/examples/stamped-awk-evolution/</link><pubDate>Fri, 20 Feb 2026 00:00:00 +0000</pubDate><guid>https://deploy-preview-9--stamped-examples-prs.netlify.app/examples/stamped-awk-evolution/</guid><description>Four scenarios showing how to incrementally add STAMPED properties to a shell-based analysis using git, make, and singularity.</description></item><item><title>Tracking AI Agent Contributions with Entire</title><link>https://deploy-preview-9--stamped-examples-prs.netlify.app/examples/entire-ai-provenance/</link><pubDate>Fri, 20 Feb 2026 00:00:00 +0000</pubDate><guid>https://deploy-preview-9--stamped-examples-prs.netlify.app/examples/entire-ai-provenance/</guid><description>When AI agents write code, the conversation behind their decisions lives only in a local transcript on the developer&amp;rsquo;s machine and never travels with the repository. Entire captures that conversation in a git orphan branch, making AI contributions as trackable and distributable as the code itself.</description></item><item><title>Git Submodules for Modular Dataset Composition</title><link>https://deploy-preview-9--stamped-examples-prs.netlify.app/examples/git-submodules-modularity/</link><pubDate>Thu, 19 Feb 2026 00:00:00 +0000</pubDate><guid>https://deploy-preview-9--stamped-examples-prs.netlify.app/examples/git-submodules-modularity/</guid><description>Demonstrates how git submodules enable independent versioning and composition of dataset components.</description></item><item><title>Recording Computational Provenance with 'datalad run'</title><link>https://deploy-preview-9--stamped-examples-prs.netlify.app/examples/datalad-run-provenance/</link><pubDate>Thu, 19 Feb 2026 00:00:00 +0000</pubDate><guid>https://deploy-preview-9--stamped-examples-prs.netlify.app/examples/datalad-run-provenance/</guid><description>Shows how &amp;lsquo;datalad run&amp;rsquo; wraps arbitrary commands to record inputs, outputs, and the exact command in machine-reexecutable form.</description></item></channel></rss>