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The finite-temperature free energy of the spherical perceptron with bounded continuous potentials (Gyorgyi-Reimann continuous-RSB formula)

Theorem 1.1: for all α,β>0\alpha,\beta>0 and ϕ∈Cb(R)\phi\in C_b(\mathbb R), EpN\mathbb Ep_N and pNp_N (in probability) converge to inf⁡m{αVβϕ(m)+S(m)}\inf_m\{\alpha V_{\beta\phi}(m)+S(m)\} over nondecreasing m:[0,1]→[0,1]m:[0,1]\to[0,1], with VV a Brownian stochastic-control value and SS the spherical entropy; this matches the Gyorgyi-Reimann continuous-RSB functional. Companions: the analogous formula for the Gaussian Ising perceptron with any bounded Borel log-potential at all densities and positive temperatures, and for spherical models with bi-orthogonally invariant disorder without outliers. Not shown: hard constraints or zero temperature (storage capacity), discontinuous potentials in the spherical case, or properties of the optimizer.

Exact FrontierDelta

Prior state unknown→proved

Scope and record

Occurred: Sep 24, 2026

Delta type: SOURCE CLAIM

Assumptions: VibeMathed verification: lean-checked. Publication: announcement. AI contribution: ai-discovered. VibeMathed editorial classifications, scores, notes, relations, and dataset structure are CC BY 4.0. Source statements and linked content retain their own rights.

Canonical aliases: The finite-temperature free energy of the spherical perceptron with bounded continuous potentials (Gyorgyi-Reimann continuous-RSB formula) · Spherical perceptron free energy

Confidence: Not scored

Registry verification: lean checked · announcement · partial

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VibeMathed
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Unreleased internal OpenAI model
model · ai model contributor · OpenAI

Artifacts and verifiers

Lean challenge statement: PerceptronFreeEnergy.lean

lean artifact · pending

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Lean solution module: OAI/Probability/Perceptron/Main.lean

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The finite-temperature free energy of the spherical perceptron with bounded continuous potentials (Gyorgyi-Reimann continuous-RSB formula) parent of this event

This event attributed to Unreleased internal OpenAI model

Companion: The free energy of the Ising random perceptron evidence for this event

Theorem 1.1: for all α,β>0\alpha,\beta>0 and ϕ∈Cb(R)\phi\in C_b(\mathbb R), EpN\mathbb Ep_N and pNp_N (in probability) converge to inf⁡m{αVβϕ(m)+S(m)}\inf_m\{\alpha V_{\beta\phi}(m)+S(m)\} over nondecreasing m:[0,1]→[0,1]m:[0,1]\to[0,1], with VV a Brownian stochastic-control value and SS the spherical entropy; this matches the Gyorgyi-Reimann continuous-RSB functional. Companions: the analogous formula for the Gaussian Ising perceptron with any bounded Borel log-potential at all densities and positive temperatures, and for spherical models with bi-orthogonally invariant disorder without outliers. Not shown: hard constraints or zero temperature (storage capacity), discontinuous potentials in the spherical case, or properties of the optimizer. parent of this event

Companion: The spherical perceptron with bi-orthogonally invariant disorder evidence for this event

The finite-temperature free energy of the spherical perceptron with bounded continuous potentials (Gyorgyi-Reimann continuous-RSB formula) evidence for this event

Gyorgyi-Reimann (2000), continuous replica symmetry breaking in a single model neuron evidence for this event

Lean challenge statement: PerceptronFreeEnergy.lean evidence for this event

Lean solution module: OAI/Probability/Perceptron/Main.lean evidence for this event

VibeMathed record: The finite-temperature free energy of the spherical perceptron with bounded continuous potentials (Gyorgyi-Reimann continuous-RSB formula) evidence for this event

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