pith:E4SF7K3Q
Watts-per-Intelligence Part II: Algorithmic Catalysis
Reusable computational structures bound any class-specific speed-up by the algorithmic mutual information between substrate and task descriptor, at a minimum energy cost from Landauer erasure.
arxiv:2604.20897 v2 · 2026-04-21 · cs.IT · cs.AI · math.IT · physics.comp-ph
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Claims
We prove that any class-specific speed-up is upper-bounded by the algorithmic mutual information between the substrate and the class descriptor, and that installing this information incurs a minimum thermodynamic cost via Landauer erasure. Combining these results yields a coupling theorem that lower-bounds the deployment horizon required for a catalyst to be energetically favourable.
That reusable computational structures exist which satisfy bounded restoration and structural selectivity constraints for the task class while allowing the mutual information bound to be achieved in practice.
Reusable algorithmic structures (catalysts) for task classes yield speed-ups upper-bounded by mutual information, with minimum thermodynamic installation costs via Landauer erasure and a lower bound on favorable deployment time.
Receipt and verification
| First computed | 2026-06-09T01:05:17.666310Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
27245fab70b83f8be90e06c07c3e8cd3e7e49a47619c0a09d0c3ce5448977274
Aliases
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/E4SF7K3QXA7YX2IOA3AHYPUM2P \
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Canonical record JSON
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