Type
Company
Country
China
CN
Documents
69
through any edge
Papers
69
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Fano Labs (China) on the authorship, newest first.
2026-07-22 · 1 authors here
UnisonAI: A Computational Proof of Derived Law with Zero Trained Parameters
2026-07-22 · 1 authors here
From the Self-Proven Theorem to Master-Level Chess - and the Law Inside Neural Networks
2026-07-22 · 1 authors here
Fold Go: Exact Counted Legality, Certified Solves, and Zero-Parameter Competitive Play
2026-07-22 · 1 authors here
The Law Inside Trained Weights: The Fold Decode Campaign
2026-07-22 · 1 authors here
Fold Go: Exact Counted Legality, Certified Solves, and Zero-Parameter Competitive Play
2026-07-22 · 1 authors here
The Law Inside Trained Weights: The Fold Decode Campaign
2026-07-22 · 1 authors here
UnisonAI: A Computational Proof of Derived Law with Zero Trained Parameters
2026-07-22 · 1 authors here
From the Self-Proven Theorem to Master-Level Chess - and the Law Inside Neural Networks
2026-07-19 · 1 authors here
UnisonAI: A Computational Proof of Derived Law with Zero Trained Parameters
2026-07-19 · 1 authors here
From the Self-Proven Theorem to Master-Level Chess - and the Law Inside Neural Networks
2026-07-19 · 1 authors here
Fold Go: Exact Counted Legality, Certified Solves, and Zero-Parameter Competitive Play
2026-07-18 · 1 authors here
Fold Go: Exact Counted Legality, Certified Solves, and Zero-Parameter Competitive Play
2026-07-18 · 1 authors here
From the Self-Proven Theorem to Master-Level Chess — and the Law Inside Neural Networks
2026-07-17 · 1 authors here
Fold Go: Exact Counted Legality, Certified Solves, and Zero-Parameter Competitive Play
2026-07-17 · 1 authors here
From the Self-Proven Theorem to Master-Level Chess — and the Law Inside Neural Networks
2026-07-16 · 1 authors here
The Law Inside Trained Weights: The Fold Decode Campaign
2026-07-16 · 1 authors here
UnisonAI: A Forced, Derived Omni-Model Architecture with Zero Parameters — Attention, it turns out, was not all you need
2026-07-16 · 1 authors here
UnisonAI: A Forced, Derived Omni-Model Architecture with Zero Parameters — Attention, it turns out, was not all you need
2026-07-16 · 1 authors here
UnisonAI: A Forced, Derived Omni-Model Architecture with Zero Parameters — Attention, it turns out, was not all you need
2026-07-15 · 1 authors here
UnisonAI: A Forced, Derived Omni-Model Architecture with Zero Parameters — Attention, it turns out, was not all you need
2026-07-15 · 1 authors here
UnisonAI: A Forced, Derived Omni-Model Architecture with Zero Parameters — Attention, it turns out, was not all you need
2026-07-12 · 1 authors here
UnisonAI: A Forced, Derived Omni-Model Architecture with Zero Parameters — Attention, it turns out, was not all you need
2026-07-12 · 1 authors here
Defeating Deep Learning: A Zero-Parameter Geometric Engine Beats KataGo at 19x19 Go
2026-07-09 · 2 authors here
Mastering Chess with Zero Parameters and Zero Gradient Descent: The Topological Fold as an Exact Evaluation Field
2026-07-09 · 1 authors here
UnisonAI: A Forced, Derived Omni-Model Architecture with Zero Parameters — Attention, it turns out, was not all you need
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
Who funds this work
Funders named on the papers above. The record holds no recipient field, so this is reached through the documents themselves — and the two columns are two different claims, kept apart.
Under a named grant
funding_awards — the award carries a grant number
Nothing on record.
Listed as funder
doc_funder_links — named, with no grant number