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| Main Author: | |
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| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2026
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| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.19412938 |
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Table of Contents:
- <p><strong>Applied ITT - ARC-AGI from Field Theory: Fan Surface Operators and the Collapse PDE</strong></p><p><em>Armstrong Knight — intent-tensor-theory.com</em></p><p>ARC-AGI is solved by treating each grid as a scalar potential field where Phi equals the cell color. Four field primitives (Phi, nabla*Phi, sigma, rho_q) and six fan surface operators Delta_1 through Delta_6 are defined. Each task receives a 6-bit activation signature. Solutions are found via compositional beam search minimizing a combined residue-energy objective. Three admissibility gates enforce physical consistency.</p><p>Running implementation: <a href="https://intent-tensor-theory.com/applied-itt/">intent-tensor-theory.com/applied-itt</a></p>