WFGY/I_am_not_lizardman

WFGY 1.0 Research Papers Index

Last reviewed: 2026-03-10

This folder hosts the public PDFs for WFGY 1.0 and a small set of companion research papers. It is intentionally kept in place for link stability because some external references already point to these files.

Note: The internal version number of the main WFGY paper has been updated to WFGY 1.0.2 in the document itself.
However, the file name remains WFGY_v1.0.pdf because a number of external references already point to the original file path.
To avoid breaking existing links, the filename has been preserved even though the document version has been incremented.

Research status notice

All PDFs listed here are exploratory research documents authored by PSBigBig.

Unless a specific paper explicitly states otherwise, these materials have not undergone formal academic peer review. They are shared as open research artifacts for independent reading, critique, and replication attempts.

No claim is made on this page that any document establishes new physical laws, overturns scientific consensus, or provides experimentally confirmed results. If a paper proposes experiments, the correct interpretation is that they are proposed or preliminary until independently replicated.

What you will find here

• WFGY 1.0 main paper PDF (document version 1.0.2)
• Companion paper PDFs under papers/
• Optional AI review artifacts under scispace_reviews/
• Prompt collections under wfgy_prompts/

Note: Several papers include a figshare DOI on the first page.
For example, the fifth force paper lists a figshare DOI for citation.

Primary PDFs

Item	GitHub PDF link	Notes
WFGY 1.0 main paper	Download	Theoretical overview and framework description. The document version inside the PDF is WFGY 1.0.2, but the filename remains WFGY_1.0.pdf to preserve external links. The PDF itself includes citation DOI information.
WFGY All Principles Return to One	Download	Companion primary text for WFGY 1.0 materials.

Companion papers

The links below point to the original PDFs stored in this repository.

Paper	GitHub PDF link
Semantic Relativity Theory	Download
Semantic Bio Energy (paper title uses “Plants vs. Einstein”)	Download
Semantic Field Induced Objective Collapse in Quantum Measurement	Download
The Fifth Fundamental Interaction (Semantic Field Hypothesis)	Download
BERT Based Semantic Entropy under Landauer’s Principle	Download
Semantic Holography and Causal Fields	Download
Trinity of Light Hypothesis	Download
Asymmetric Self Consistency Hypothesis (AI Verification)	Download

About AI review artifacts

The images under scispace_reviews/ are automated review artifacts and are provided only as transparency evidence of an AI system’s summary output. They are not peer review, not acceptance, and not a substitute for independent evaluation.

If you want to assess these works, read the PDFs directly and cite the DOI shown in each PDF when available.

Folder structure

I_am_not_lizardman/
├── WFGY_1.0.pdf
├── papers/
├── scispace_reviews/
├── wfgy_prompts/
└── README.md

Where to go next

This page is specific to WFGY 1.0 materials. For the actively maintained WFGY documentation, debugging maps, and current workflows, use the main documentation entry points in the repository root.

Explore More

Layer	Page	What it’s for
⭐ Proof	WFGY Recognition Map	External citations, integrations, and ecosystem proof
⚙️ Engine	WFGY 1.0	Original PDF tension engine and early logic sketch (legacy reference)
⚙️ Engine	WFGY 2.0	Production tension kernel for RAG and agent systems
⚙️ Engine	WFGY 3.0	TXT based Singularity tension engine (131 S class set)
🗺️ Map	Problem Map 1.0	Flagship 16 problem RAG failure taxonomy and fix map
🗺️ Map	Problem Map 2.0	Global Debug Card for RAG and agent pipeline diagnosis
🗺️ Map	Problem Map 3.0	Global AI troubleshooting atlas and failure pattern map
🧰 App	TXT OS	.txt semantic OS with fast bootstrap
🧰 App	Blah Blah Blah	Abstract and paradox Q&A built on TXT OS
🧰 App	Blur Blur Blur	Text to image generation with semantic control
🏡 Onboarding	Starter Village	Guided entry point for new users

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