Suggestion: add WFGY 1.0 as an optional LLM debugging paper for advanced users

[onestardao]

Hi, thanks for building paper-ai and for making it much easier to search papers and draft AI articles.

I would like to suggest one extra "meta" paper that might be useful for advanced users who care about LLM reliability when they write.

Project: WFGY
Repo: https://github.com/onestardao/WFGY
Paper
https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf

What WFGY 1.0 is
WFGY 1.0 is a long-form PDF that treats large language models as self-healing systems.
It defines a small set of modules that an LLM can follow to:

• detect when its own answer is drifting or missing key conditions
• run a short "self check" loop before finalizing an answer
• rewrite or repair its reasoning without changing the original user question

The PDF is written so that you can simply upload it as an extra document into a RAG or paper assistant, then ask the model things like:

"Please use the WFGY self-healing framework when you write this section and explain any parts where you disagreed with the source papers."

Why it might fit this project
Many users of paper-ai are probably students or researchers who care about both:

• good citations, and
• not silently hallucinating when summarizing multiple sources.

Having one dedicated paper about LLM failure modes and self-healing gives them a concrete reference they can drop into the same workflow as their research papers.

Possible way to integrate
If you think this is in scope, WFGY 1.0 could be mentioned as:

• an optional "LLM debugging" reference paper in the README, or
• a small example in the docs that shows how to attach an extra PDF and prompt the model with "please use WFGY to double check the reasoning".

If you prefer that the repo stays focused only on domain papers and not meta-LLM content, I completely understand.
Either way, thanks for releasing and maintaining this project, it is already very helpful.