Bohrium Profile picture
Nov 7 • 8 tweets • 3 min read • Read on X
📄 #POTD: Today's paper is a special one for us. It's the official blueprint for our new project, #SciencePedia.

It exposes a fatal flaw in how we all store knowledge: "radical compression."

We’ve all been taught to ignore the "dark matter of knowledge." Until now.

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Here are the links:
👉 Explore SciencePedia: bohrium.com/sciencepedia

📑 Read the Paper: j1q.cn/jSh0a2q1

Full Paper Title: "Inverse Knowledge Search over Verifiable Reasoning: Synthesizing a Scientific Encyclopedia from a Long Chains-of-Thought Knowledge Base" Image
The paper explains why this matters. "Reasoning compression" is a root cause of #LLM #hallucination.

When LLMs mimic human data, they inherit this "dark matter blindness."

We had to start from first principles.
Our method: Decompress scientific reasoning.

It starts with a “Socrates Agent”.

This agent generated ~3 million first-principles questions across a curriculum of ~200 courses, from high-school to graduate level . Image
Next, multiple independent "solver models" generate Long Chains-of-Thought (LCoT) for each question.

To ensure high fidelity, we only keep answers verified by "cross-model answer consensus" .

This creates a massive, verifiable LCoT knowledge base.
This LCoT base powers our "Brainstorm Search Engine" .

It performs "Inverse Knowledge Search".

You stop asking "What is an Instanton?"
Instead, you retrieve all the first-principles paths that derive the concept of an Instanton.

This reveals its non-trivial connections:
Quantum tunneling in double-wells
QCD vacuum structure
Hawking radiation
4D manifolds in pure math

The "dark matter" is made visible. Image
This is #SciencePedia. Our "Plato Synthesizer" narrates LCoT chains into coherent articles.

The result? Articles with ~50% lower factualhallucination and significantly higher knowledge density than baseline LLMs .

#SciencePedia is now live with ~200,000 entries. Come explore. Image

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