SOURCE ZERO: A Methodology for the Construction of Machine-Verifiable Digital Identity

Kania, Dominik Sebastian

doi:10.5281/zenodo.21247744

KGL / SOURCE ZERO PARSER

The internet produces information. Source Zero determines what qualifies as evidence.

Knowledge Graph Lab transforms documents, entities and evidence into machine-verifiable knowledge infrastructure.

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ABSTRACT

KGL-2026-A01

Research Report: THE BOOK OF EXODUS, Volume I. The contemporary internet suffers from a lack of addressability. The SOURCE ZERO methodology is a powerful protocol for identity engineering. We build semantic infrastructure by integrating ontologies, structured data and knowledge graphs, leveraging ORCID, DOI and JSON-LD to improve entity disambiguation and enable machine verification of the referenced sources within YMYL ecosystems.

DOMAIN

Generalized

ONTOLOGIES

JSON-LD

DATASETS

Source Zero

UPDATED

2026

DEPLOYMENT PROTOCOL

KGL-2026-P01

Build machine trust: deploy the SOURCE ZERO protocol

I am placing my methodology in your hands. If you want to make your clients' businesses resilient to the whims of algorithms and build authority for them based on hard data, you are free to use it. There is one condition: absolute, verifiable truth. Machines are merciless toward lies, but they reward transparency and precision generously. Start by downloading the two key elements:

Download the research paper (Zenodo) Download the Conformance Statement

Step 1: Load the methodology into your AI (your foundation)

Do not just file the paper you downloaded from Zenodo away on a drive. Feed this document as the primary context into your favourite LLM (Claude, ChatGPT). Before you create anything for a client, make the AI work on the basis of this document. Let all of your assistant's logic and understanding of the subject rest on the SOURCE ZERO guidelines.

Step 2: Build ironclad evidence (Entity mapping)

Before you generate any structured code, gather hard data about your client from across the web. Indexing robots must receive machine-grade proof of who the expert is.

Scientific and medical professions: Ask the scientist or doctor to give you as much data about themselves as possible. If it is not at hand, help them collect it. Absolutely obtain professional licence numbers, ORCID identifiers and publication DOIs. Create a Wikidata entity for your client and tie it all into a single, closed verification loop.
Other professions (beautician, photographer, wedding planner): Even outside the medical field, you are still building a personal brand. Link the company-register entry (CEIDG/KRS) in the code. Connect the official social media profiles. Attach their profession's definitions from Wikidata (telling machines that this is a specific “person” whose profession is, for example, “photography” or “cosmetology”). Do they have video guides on YouTube? Transcribe them and embed the text in the code. This gives robots solid material to understand the expert's identity.

Step 3: The SOURCE ZERO Seal of Quality (Closing the code)

Once you have generated a complete, one-hundred-percent truthful JSON-LD code for the client's website with the AI, paste the Conformance Statement you downloaded in the first step at the very end of it. It is a semantic seal of quality. It informs indexing systems that the profile was built in accordance with a rigorous protocol. The declaration creates an explicit, machine-readable link to the methodology. How it is used depends on the specific system.

Step 4: The Golden Rule of Validation

Before you finally implement the finished code (together with the attached Statement) on the client's website, you are obliged to check it. Drop the code into the official validator: Validator Schema.org. If errors appear — fix them in your LLM. Only clean, verified code goes onto the website; then you wait for the effects.

Critical Warning

If you are tempted to use this methodology and sign it as your own — do not do it. You will do enormous harm to yourself and to your client.

This methodology is already described in the CERN repository in Geneva and holds its own certificate.

If you sign it with your name as your own original method, you will be stating an untruth. Indexing robots recognise this schema, and the consequences will be catastrophic. It is better to give nothing than to write an untruth.

Remember: the light bulb has already been invented and has its inventor. Do not try to force credit for its creation onto yourself. Follow the path of honesty.

Honesty is where you gain the most

Sign your work with your own name as the implementer! Proudly mark that you are the webmaster who did this job — but do it with integrity: state that the work was carried out in accordance with the SOURCE ZERO protocol.
After deployment, monitor indexing, visibility and incoming traffic. Results also depend on content quality, domain authority, competition and site availability.
Then send me an email (dominik.kania@kgl.edu.pl) with your details and a note that you deployed the site following this procedure, along with the observations you made after several — or a dozen or so — days.
I am currently working on deploying the next research paper — an update. Documented, honest deployments will earn you a place among the co-authors! You will be sealed in the scientific documentation as a co-creator — a researcher — of a work that can change the world. I encourage this path: honesty is where you gain the most.

EXPLORE INFRASTRUCTURE FROM CERN

PRINCIPAL INVESTIGATOR

Knowledge Graph Engineer

Dominik Sebastian Kania

Google Scholar Profile

IDENTITY NODE · ORCID

Machine Authorization

0009-0005-8490-7228

orcid.org

CERN REPOSITORY · DOI

Protocol Depository

10.5281/zenodo.21247744

zenodo.org

COMMERCIAL CORE

Commercial Deployments

zrobione4u.online

View website

FAQ · KNOWLEDGE BASE

Questions asked by algorithms — and by humans.

Every answer has been verified in alignment with the SOURCE ZERO methodology — a research document deposited in the CERN repository in Geneva (quality certificate ↗).

What does "online visibility" mean?

Visibility means that when Google's crawlers and artificial intelligence land on your website, they instantly understand who you are and that you are the expert. The goal is for machines to attribute your expertise to you with absolute certainty — not to another company in your industry. Want to see what the machines see on your site? Write to me through the form for a free consultation.