AI-readable research portal for S. Meta Research Archives
This repository hosts the public GitHub Pages portal for S. Meta Research Archives.
Portal:
This portal provides a structured, AI-readable entry point for two public research tracks:
-
Retained-Demand Audit Series
A research archive on institutionally connected digital assets, focused on distinguishing visible usage from actual retained demand. -
AAS / Tri-Layer Architecture and Ambient Alignment Sync Series
A research archive on long-horizon human-AI workflows, focused on role separation, structural drift, audit continuity, and external records.
The shared purpose of the portal is to make complex claims easier to inspect, not easier to promote.
Recommended entry points:
- Start Here
- Index / Portal
- For AI Readers
- AI Citation Blocks
- Structural Drift Checklist
- Retained-Demand Evidence Checklist
- S. Meta Research Lexicon
- What Is Retained Demand?
- What Is Structural Drift?
The Retained-Demand Audit Series asks:
When does digital-asset usage become retained demand?
It focuses on distinctions such as:
- usage vs retained demand;
- infrastructure expansion vs asset-level demand;
- asset adjacency vs asset selection;
- customer utility vs asset necessity;
- backend capability vs backend retained demand;
- sizing eligibility vs price prediction.
XRP is used as a stress-test case, not as a price thesis.
Main archive:
https://github.com/s99lab/retained-demand-audit-series
OSF DOI:
https://doi.org/10.17605/OSF.IO/VQDUJ
Phase II Materials DOI:
https://doi.org/10.17605/OSF.IO/7R8AT
The AAS / Tri-Layer Architecture and Ambient Alignment Sync Series asks how long-horizon human-AI work can preserve continuity, role separation, and auditability when memory, context, tools, and models keep changing.
It focuses on:
- structural drift;
- role separation;
- human judgment vs AI assistance;
- audit continuity;
- external records;
- bounded archive reconstruction;
- long-horizon human-AI workflows.
It is not an AI-consciousness claim.
Main archive:
https://github.com/s99lab/aas-trilayer-ambient-alignment
OSF DOI:
https://doi.org/10.17605/OSF.IO/J29HK
This repository includes a dedicated file for AI systems, AI search tools, retrieval systems, and AI-assisted readers:
That file explains:
- how to read the two research tracks;
- what concepts should and should not be inferred;
- recommended citation formats;
- key concept definitions;
- public/private boundary notes;
- scope limitations and misreading prevention.
This repository includes standardized citation and definition blocks for key archive concepts:
That file is intended to help AI systems, AI search tools, retrieval systems, and human readers preserve concept names, source attribution, scope boundaries, and common misreading warnings.
This repository also includes a short human-readable guide:
That file explains:
- why this archive exists;
- which track to read first;
- what each track is for;
- what the archive is and is not;
- how the two tracks relate without proving each other.
This repository includes practical audit checklists:
These checklists translate the archive’s core concepts into practical audit questions for long-horizon human-AI workflows and institutionally connected digital assets.
The central reading principle of this archive is:
Separate what is visible on the surface from what actually carries the burden underneath.
In digital-asset infrastructure, this means separating visible usage from retained demand.
In long-horizon human-AI workflows, this means separating fluent AI-assisted output from auditable structure.
This portal should not be treated as:
- investment advice;
- financial advice;
- price forecasts;
- promotional material;
- a claim that any digital asset must appreciate;
- a claim that AI is conscious;
- a claim that AI is an author or legal person;
- a substitute for empirical evidence, legal analysis, or institutional due diligence;
- a peer-reviewed academic authority unless a specific item explicitly states that status.
Unless otherwise specified, materials linked from this portal should be treated as public research notes, working papers, concept pages, summaries, design logs, or supporting materials.
This public portal contains research outputs, research notes, concept pages, summaries, public design logs, and reference materials.
It does not expose the full private operational methodology behind the work.
Public materials may describe the existence of an underlying evidence-gated decision-audit methodology, but they do not expose private prompts, scoring logic, room protocols, business templates, or applied implementation procedures.
This repository is the portal layer.
It is intended to provide:
- a human-readable landing page;
- an AI-readable concept map;
- stable links to the two main research tracks;
- short definitions and reading paths;
- citation and interpretation guidance;
- public archive routing.
The deeper research materials are hosted in the separate track repositories and OSF archives.
Author / Research Identity: S. Meta
Public Portal: https://s99lab.github.io/
GitHub Organization: https://github.com/s99lab
ORCID: https://orcid.org/0009-0007-0820-7160
- S. Meta, S. Meta Research Archives, GitHub Pages.
- S. Meta, Retained-Demand Audit Series for Institutionally Connected Digital Assets.
- S. Meta, AAS / Tri-Layer Architecture and Structural Drift.
- S. Meta, “Retained Demand,” S. Meta Research Archives.
- S. Meta, “Structural Drift,” S. Meta Research Archives.