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  <title>thalens.org — Mathematical Research</title>
  <link>https://thalens.org/</link>
  <description>Mathematical research papers by Dr. Tamás Nagy</description>
  <language>en</language>
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  <lastBuildDate>Sat, 08 Aug 2026 20:28:33 +0000</lastBuildDate>
  <item>
    <title>The Structured Latent Basis: Feature Engineering as Basis Selection</title>
    <link>https://thalens.org/papers/ml_structured_latent_basis/</link>
    <guid>https://thalens.org/papers/ml_structured_latent_basis/</guid>
    <description>We introduce the Structured Latent Basis (SLB) framework, a perspective that compares feature engineering, meta-learning, and representation learning through a common diagnostic question: does the chosen representation make a regularized linear predi</description>
    <pubDate>Sat, 08 Aug 2026 00:00:00 +0000</pubDate>
    <category>Core Theory</category>
  </item>
  <item>
    <title>An Audited Contract Boundary for COS Caplet Pricing</title>
    <link>https://thalens.org/papers/fin_spectral_ir_pricing/</link>
    <guid>https://thalens.org/papers/fin_spectral_ir_pricing/</guid>
    <description>We present a bounded verification case study for COS caplet pricing. The numerical component expands the payoff of a log-forward rate, pairs characteristic-function coefficient proxies with raw payoff integrals, and reproduces Black benchmark values in a lognormal special case.</description>
    <pubDate>Fri, 07 Aug 2026 00:00:00 +0000</pubDate>
    <category>quantitative_finance</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>Machine-Checked Scalar Foundations for SGD Analysis</title>
    <link>https://thalens.org/papers/sgd/</link>
    <guid>https://thalens.org/papers/sgd/</guid>
    <description>We present a machine-checked source containing 78 named real-arithmetic declarations that occur as local steps in standard analyses of stochastic gradient descent (SGD). This declaration count includes support identities, recovery variants, and direct restatements; it is not a count of novel or publication-credit theorems.</description>
    <pubDate>Thu, 06 Aug 2026 00:00:00 +0000</pubDate>
    <category>optimization and formal methods</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>The Latent: Finite Sufficient Representations of Smooth Systems</title>
    <link>https://thalens.org/papers/core_the_latent/</link>
    <guid>https://thalens.org/papers/core_the_latent/</guid>
    <description>We define the **Latent** of a smooth system as the basis-free element of a graded Hilbert tensor algebra that completely characterizes the system&#x27;s distributional, dynamic, and functional properties.</description>
    <pubDate>Tue, 28 Jul 2026 00:00:00 +0000</pubDate>
    <category>Core Theory</category>
  </item>
  <item>
    <title>Conditional BSD Implications with Twelve Explicit Debt Assumptions</title>
    <link>https://thalens.org/papers/nt_bsd/</link>
    <guid>https://thalens.org/papers/nt_bsd/</guid>
    <description>The Birch and Swinnerton-Dyer conjecture predicts that for an elliptic curve $E/\mathbb{Q}$ the Mordell-Weil rank equals the order of vanishing of the Hasse-Weil $L$-function at $s = 1$.</description>
    <pubDate>Wed, 22 Jul 2026 00:00:00 +0000</pubDate>
    <category>number_theory</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>From Design Points to Machine-Checked Parameter Regions: Reusable Certificate Templates for Engineering Models</title>
    <link>https://thalens.org/papers/ind_verified_design_certificates/</link>
    <guid>https://thalens.org/papers/ind_verified_design_certificates/</guid>
    <description>We present a reusable algebra for machine-checked certificates in declared engineering models, where supplied equations, inequalities, monotonicity directions, and perturbation bounds imply an encoded safety, lifetime, stability, or performance predicate.</description>
    <pubDate>Mon, 20 Jul 2026 00:00:00 +0000</pubDate>
    <category>Formal Verification</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>A Finite-Dimensional Bounded-Perturbation Certificate</title>
    <link>https://thalens.org/papers/math_latent_path_integral/</link>
    <guid>https://thalens.org/papers/math_latent_path_integral/</guid>
    <description>Saddle-point approximations replace an action by its quadratic part, but transferring a quantitative error statement between applications requires an explicit remainder estimate.</description>
    <pubDate>Mon, 20 Jul 2026 00:00:00 +0000</pubDate>
    <category>mathematics</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>The Fenton Distribution: An Elementary Representation</title>
    <link>https://thalens.org/papers/fin_fenton_solved/</link>
    <guid>https://thalens.org/papers/fin_fenton_solved/</guid>
    <description>An elementary representation route for sums of correlated lognormals; published with DOI and stated for review.</description>
    <pubDate>Sun, 19 Jul 2026 00:00:00 +0000</pubDate>
    <category>Quantitative Finance</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>Conditional Bounds on AI Self-Improvement in an Antitone Threshold Model</title>
    <link>https://thalens.org/papers/ml_self_improvement/</link>
    <guid>https://thalens.org/papers/ml_self_improvement/</guid>
    <description>We establish conditional bounds in a stylized antitone threshold model of recursive AI self-improvement. A mode $k$ is model-learnable at budget $N$ when the stipulated predicate $N g(k)\ge 1$ holds, where $g$ is positive and antitone.</description>
    <pubDate>Sun, 19 Jul 2026 00:00:00 +0000</pubDate>
    <category>Formal Verification</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>Toward Dimension-Independent Finiteness of Central Configurations for Positive Masses: A Scope-Audited Reduction with Named Open Bridges</title>
    <link>https://thalens.org/papers/phy_smale6/</link>
    <guid>https://thalens.org/papers/phy_smale6/</guid>
    <description>A proposed route toward finiteness of central configurations for positive masses, with formalized components and explicit assumptions.</description>
    <pubDate>Sat, 18 Jul 2026 00:00:00 +0000</pubDate>
    <category>Formal Verification</category>
  </item>
  <item>
    <title>Spectral Error Mitigation: Model-Based Noise Inversion for Quantum Computers via Cluster Lindblad</title>
    <link>https://thalens.org/papers/phy_spectral_error_mitigation/</link>
    <guid>https://thalens.org/papers/phy_spectral_error_mitigation/</guid>
    <pubDate>Mon, 13 Jul 2026 00:00:00 +0000</pubDate>
    <category>Physics</category>
  </item>
  <item>
    <title>Formal Koide Structure: Mass Bounds, Generation Counting, and Neutrino Predictions from the Z_N Ansatz</title>
    <link>https://thalens.org/papers/phy_m_theory_dimensions/</link>
    <guid>https://thalens.org/papers/phy_m_theory_dimensions/</guid>
    <description>The Z₃ Ansatz $\sqrt{m_r} = a(1 + b\cos(\theta_0 + 2\pi r/3))$ with $b^2 = 2$ is a parametrization — not a dynamical model — that encodes the Koide mass relation $Q = 2/3$.</description>
    <pubDate>Sun, 12 Jul 2026 00:00:00 +0000</pubDate>
    <category>Formal Verification</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>Toward the Riemann Hypothesis: A Superquadratic-Growth Framework for Zeta Moments and its Limits</title>
    <link>https://thalens.org/papers/nt_riemann_hypothesis/</link>
    <guid>https://thalens.org/papers/nt_riemann_hypothesis/</guid>
    <description>We present an algebraic framework relating the growth of the zeta
moments to Hankel-determinant structure, together with an honest
account of where the framework does and does not reach the Riemann
Hypothesis.</description>
    <pubDate>Fri, 10 Jul 2026 00:00:00 +0000</pubDate>
    <category>Mathematics</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>Toward an Exact Latent Encoding of the Gravitational Three-Body Problem</title>
    <link>https://thalens.org/papers/phy_exact_3body_solution/</link>
    <guid>https://thalens.org/papers/phy_exact_3body_solution/</guid>
    <description>A proposed finite Latent encoding for gravitational three-body trajectories, with convergence and formalization status separated from the main claim.</description>
    <pubDate>Fri, 10 Jul 2026 00:00:00 +0000</pubDate>
    <category>Physics</category>
  </item>
  <item>
    <title>A Finite Latent Framework for the Gravitational N-Body Problem</title>
    <link>https://thalens.org/papers/phy_nbody_latent_solution/</link>
    <guid>https://thalens.org/papers/phy_nbody_latent_solution/</guid>
    <description>We extend the finite Latent representation of the gravitational three-body problem [Nagy 2026g] to the general $N$-body case.</description>
    <pubDate>Fri, 10 Jul 2026 00:00:00 +0000</pubDate>
    <category>Physics</category>
  </item>
  <item>
    <title>Harvestability</title>
    <link>https://thalens.org/papers/fin_harvestability/</link>
    <guid>https://thalens.org/papers/fin_harvestability/</guid>
    <description>This paper studies **harvestability** as a horizon object for portfolio allocation within a CRRA investor model facing Ornstein-Uhlenbeck eigenmodes.</description>
    <pubDate>Tue, 07 Jul 2026 00:00:00 +0000</pubDate>
    <category>Formal Verification</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>Resolving the Equity Premium Requires at Least Two Dimensions: A Machine-Checked Class No-Go and a Term-Structure Discriminator</title>
    <link>https://thalens.org/papers/fin_equity_premium/</link>
    <guid>https://thalens.org/papers/fin_equity_premium/</guid>
    <description>The equity premium puzzle of Mehra and Prescott (1985) is the observation that the
standard consumption-based asset pricing model, calibrated to plausible risk
aversion and the observed smoothness of aggregate consumption, predicts an equity
premium</description>
    <pubDate>Sun, 05 Jul 2026 00:00:00 +0000</pubDate>
    <category>Formal Verification</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>The Riemann Hypothesis via Fourier-Euler Product: A Short Conditional Reduction</title>
    <link>https://thalens.org/papers/nt_rh_path1_fourier_euler/</link>
    <guid>https://thalens.org/papers/nt_rh_path1_fourier_euler/</guid>
    <description>We give a short conditional reduction of the Riemann Hypothesis to three classical inputs — Kronecker-Weyl equidistribution, the Bessel I₀ product identity, and Mertens&#x27; divergence theorem — plus a cited pair-correlation step.</description>
    <pubDate>Sat, 27 Jun 2026 00:00:00 +0000</pubDate>
    <category>Mathematics</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>Full Density of Zeta Zeros on the Critical Line via GUE Universality</title>
    <link>https://thalens.org/papers/nt_rh_path2_gue/</link>
    <guid>https://thalens.org/papers/nt_rh_path2_gue/</guid>
    <description>We prove that 100% of the nontrivial zeros of $\zeta(s)$ lie on the critical line in the density sense: $N_0(T)/N(T) \to 1$ as $T \to \infty$. The proof combines two results.</description>
    <pubDate>Sat, 27 Jun 2026 00:00:00 +0000</pubDate>
    <category>Mathematics</category>
  </item>
  <item>
    <title>The Projected-Generator Method for Path-Dependent Derivative Pricing</title>
    <link>https://thalens.org/papers/fin_projected_generator_method/</link>
    <guid>https://thalens.org/papers/fin_projected_generator_method/</guid>
    <description>Derivative pricing has a clear mathematical target: compute the discounted
risk-neutral value of a payoff under a specified model. For European vanilla
contracts this target is often analytic or nearly analytic.</description>
    <pubDate>Wed, 17 Jun 2026 00:00:00 +0000</pubDate>
    <category>Quantitative Finance</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>Architectural Optimizations of the In-Context Gradient-Descent Mechanism</title>
    <link>https://thalens.org/papers/ml_icl_architecture/</link>
    <guid>https://thalens.org/papers/ml_icl_architecture/</guid>
    <description>The companion core paper establishes, and machine-checks, a single identity: a transformer&#x27;s forward pass can implement one gradient-descent step on an implicit least-squares objective (the ICL=GD mechanism).</description>
    <pubDate>Mon, 15 Jun 2026 00:00:00 +0000</pubDate>
    <category>machine_learning</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>Capacity, Scaling, and Grokking from the In-Context Learning = Gradient Descent Mechanism</title>
    <link>https://thalens.org/papers/ml_icl_capacity_scaling/</link>
    <guid>https://thalens.org/papers/ml_icl_capacity_scaling/</guid>
    <description>The companion core paper establishes, and machine-checks, a single identity: a transformer&#x27;s forward pass can implement one gradient-descent step on an implicit least-squares objective (the ICL=GD mechanism). This satellite asks what that verified identity forces to be true about *representational capacity and scaling*.</description>
    <pubDate>Mon, 15 Jun 2026 00:00:00 +0000</pubDate>
    <category>machine_learning</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>Training Dynamics and Inference Guarantees of the In-Context Gradient-Descent Mechanism</title>
    <link>https://thalens.org/papers/ml_icl_dynamics_inference/</link>
    <guid>https://thalens.org/papers/ml_icl_dynamics_inference/</guid>
    <description>The companion core paper establishes, and machine-checks, a single identity: a transformer&#x27;s forward pass can implement one gradient-descent step on an implicit least-squares objective (the ICL=GD mechanism).</description>
    <pubDate>Mon, 15 Jun 2026 00:00:00 +0000</pubDate>
    <category>machine_learning</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>When In-Context Learning Implements Gradient Descent: A Learned Mechanism, Mechanically Verified and Empirically Tested</title>
    <link>https://thalens.org/papers/ml_in_context_gradient_descent/</link>
    <guid>https://thalens.org/papers/ml_in_context_gradient_descent/</guid>
    <description>We turn the gradient-descent account of in-context learning (ICL) into machine-checked mathematics and falsifiable predictions about real transformers. The formal target is the linear-attention regression identity: a forward pass can implement one gradient-descent step on an implicit least-squares objective.</description>
    <pubDate>Mon, 15 Jun 2026 00:00:00 +0000</pubDate>
    <category>machine_learning</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>Endogenous Dimension Collapse: A Fold Bifurcation in Market Risk Structure</title>
    <link>https://thalens.org/papers/fin_dimension_collapse/</link>
    <guid>https://thalens.org/papers/fin_dimension_collapse/</guid>
    <description>The collapse of a market&#x27;s effective dimensionality during financial crises is an **endogenous phase transition** rather than a smooth response to exogenous shocks. Specifically, it is a discontinuous, history-dependent jump.</description>
    <pubDate>Tue, 02 Jun 2026 00:00:00 +0000</pubDate>
    <category>Quantitative Finance</category>
  </item>
  <item>
    <title>Explicit Flat Palm Weights for the Second Class Particle in a Three-State Attractive Interacting Particle System</title>
    <link>https://thalens.org/papers/prob_ips_scp_palm/</link>
    <guid>https://thalens.org/papers/prob_ips_scp_palm/</guid>
    <pubDate>Tue, 19 May 2026 00:00:00 +0000</pubDate>
    <category>Formal Verification</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>The Universal Spectral Representation Theorem: Breaking the Curse of Dimensionality</title>
    <link>https://thalens.org/papers/core_theory_universal_spectral_representation/</link>
    <guid>https://thalens.org/papers/core_theory_universal_spectral_representation/</guid>
    <description>How many parameters does it take to represent a smooth probability density on a bounded domain to accuracy $\varepsilon$? We prove that for densities extending holomorphically to the Bernstein ellipse with parameter $\rho &gt; 1$, the answer is $N = \Th</description>
    <pubDate>Mon, 27 Apr 2026 00:00:00 +0000</pubDate>
    <category>Quantitative Finance</category>
  </item>
  <item>
    <title>The Yang-Mills Mass Gap via Gauge Absorption and Perelman W-Entropy</title>
    <link>https://thalens.org/papers/phy_yang_mills_mass_gap/</link>
    <guid>https://thalens.org/papers/phy_yang_mills_mass_gap/</guid>
    <description>**Theorem A (Main result, conditional).** Conditional on the 20 named Tier A–D hypotheses of §7.1 — in particular the three Tier-D perturbative-QFT inputs (`tomboulis_formula`, `b_zero_from_feynman`, `beta_1_rge_def`) — we establish that Yang-Mills t</description>
    <pubDate>Mon, 27 Apr 2026 00:00:00 +0000</pubDate>
    <category>Formal Verification</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>The Latent of Latents: Hierarchical Finite Representations of Knowledge Families</title>
    <link>https://thalens.org/papers/core_latent_of_latents/</link>
    <guid>https://thalens.org/papers/core_latent_of_latents/</guid>
    <description>The Latent Theorem guarantees that any smooth system has a finite representation whose size depends on regularity and accuracy, not on ambient dimensionality. We extend this result to **families** of smooth systems.</description>
    <pubDate>Sat, 25 Apr 2026 00:00:00 +0000</pubDate>
    <category>Machine Learning</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>Pricing Basket Options via Eigenvalue-Conditional Black-Scholes Mixing</title>
    <link>https://thalens.org/papers/fin_basket_options/</link>
    <guid>https://thalens.org/papers/fin_basket_options/</guid>
    <description>Pricing European basket options requires the distribution of a weighted sum of correlated lognormals — the Fenton Distribution (Nagy, 2026a) — which has no closed form.</description>
    <pubDate>Sat, 25 Apr 2026 00:00:00 +0000</pubDate>
    <category>Quantitative Finance</category>
  </item>
  <item>
    <title>Contaminated by Construction: Separating Simulation Noise from Model Risk in ES Backtests</title>
    <link>https://thalens.org/papers/fin_es_backtest_exact/</link>
    <guid>https://thalens.org/papers/fin_es_backtest_exact/</guid>
    <description>Expected Shortfall backtesting under Basel III/IV suffers from an unmeasured structural weakness: Monte Carlo estimation of ES injects computational noise into the Acerbi-Székely (2014) test statistic, but the magnitude of this contamination has not</description>
    <pubDate>Sat, 25 Apr 2026 00:00:00 +0000</pubDate>
    <category>Quantitative Finance</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>Deterministic Portfolio VaR Without Monte Carlo: The Eigen-COS Method</title>
    <link>https://thalens.org/papers/fin_exact_var_computational/</link>
    <guid>https://thalens.org/papers/fin_exact_var_computational/</guid>
    <description>We present the Eigen-COS method, a deterministic algorithm that computes exact Value-at-Risk, closed-form Expected Shortfall, and the full CDF/PDF for weighted sums of correlated lognormal assets — without Monte Carlo simulation.</description>
    <pubDate>Sat, 25 Apr 2026 00:00:00 +0000</pubDate>
    <category>Quantitative Finance</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>Terminal Portfolio Value Distribution to Machine Precision</title>
    <link>https://thalens.org/papers/fin_fenton_practical/</link>
    <guid>https://thalens.org/papers/fin_fenton_practical/</guid>
    <description>We present a deterministic, semi-analytical framework for computing the complete distribution of a portfolio&#x27;s terminal value at horizon $T$ for correlated lognormal assets. Unlike traditional approaches, this method requires no Monte Carlo simulation.</description>
    <pubDate>Sat, 25 Apr 2026 00:00:00 +0000</pubDate>
    <category>Quantitative Finance</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>What Is a Return? (Especially When Prices Can Be Negative)</title>
    <link>https://thalens.org/papers/fin_return_paradox/</link>
    <guid>https://thalens.org/papers/fin_return_paradox/</guid>
    <description>Every formula in quantitative finance — CAPM, Markowitz, VaR, Sharpe ratio, GARCH — takes returns as input. Yet the standard definitions of return fail when prices cross zero: log-returns are undefined, and simple returns produce sign errors.</description>
    <pubDate>Sat, 25 Apr 2026 00:00:00 +0000</pubDate>
    <category>Quantitative Finance</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>Spectral Importance Sampling: Optimal Rare-Event Simulation via Eigenvalue-Conditioned Measure Change</title>
    <link>https://thalens.org/papers/fin_spectral_importance_sampling/</link>
    <guid>https://thalens.org/papers/fin_spectral_importance_sampling/</guid>
    <description>We develop a variance reduction framework for simulating rare events in correlated portfolios by exploiting the eigenvalue decomposition of the correlation matrix. The central observation is that the eigenvalue modes $Z_k$ — projections of the asset vector onto the eigenvectors of the correlation matrix — are mutually independent.</description>
    <pubDate>Sat, 25 Apr 2026 00:00:00 +0000</pubDate>
    <category>Quantitative Finance</category>
  </item>
  <item>
    <title>Explicit L² Bounds for Damped Vinogradov Sums</title>
    <link>https://thalens.org/papers/nt_damped_vinogradov/</link>
    <guid>https://thalens.org/papers/nt_damped_vinogradov/</guid>
    <pubDate>Sat, 25 Apr 2026 00:00:00 +0000</pubDate>
    <category>Mathematics</category>
  </item>
  <item>
    <title>The Euler Product Smoothness Theorem: Multiplicative Structure Forces Latent Existence</title>
    <link>https://thalens.org/papers/nt_euler_product_smoothness/</link>
    <guid>https://thalens.org/papers/nt_euler_product_smoothness/</guid>
    <description>We prove that the distribution of values of random Euler products on the
critical line possesses a stable Latent — a finite rational approximation
with exponential convergence — and provide a **complete structural proof**
of the Euler Product Smoothn</description>
    <pubDate>Sat, 25 Apr 2026 00:00:00 +0000</pubDate>
    <category>Mathematics</category>
  </item>
  <item>
    <title>Grade Decomposition and Gevrey Regularity for Navier-Stokes: A Machine-Checked Conditional Framework</title>
    <link>https://thalens.org/papers/phy_navier_stokes_latent/</link>
    <guid>https://thalens.org/papers/phy_navier_stokes_latent/</guid>
    <description>We introduce a grade decomposition of the Gevrey energy balance for the incompressible Navier-Stokes equations. The physically correct model uses $\mathbb{C}$-valued Fourier coefficients with a factor of $i$ in the advection; the real-coefficient model trivializes all grade-3 terms.</description>
    <pubDate>Sat, 25 Apr 2026 00:00:00 +0000</pubDate>
    <category>Formal Verification</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>Global Regularity for the Three-Dimensional Navier-Stokes Equations via Direction Coherence and Dyadic W-Entropy Weakening</title>
    <link>https://thalens.org/papers/phy_navier_stokes_regularity/</link>
    <guid>https://thalens.org/papers/phy_navier_stokes_regularity/</guid>
    <description>We reduce the global regularity problem for the three-dimensional incompressible Navier-Stokes equations to a single quantitative estimate: the integrability of the adiabatic error in the Gallay-Wayne convergence of vortex cross-sections to the Burgers profile.</description>
    <pubDate>Sat, 25 Apr 2026 00:00:00 +0000</pubDate>
    <category>mathematical physics</category>
  </item>
  <item>
    <title>Practical Padé Representations of the Gravitational Three-Body Problem</title>
    <link>https://thalens.org/papers/phy_practical_pade_3body/</link>
    <guid>https://thalens.org/papers/phy_practical_pade_3body/</guid>
    <description>We demonstrate that Padé resummation of Taylor-series solutions provides a practical, machine-precision representation of the full gravitational three-body problem.</description>
    <pubDate>Sat, 25 Apr 2026 00:00:00 +0000</pubDate>
    <category>Physics</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>A refuted-and-vindicated pre-registration test of a spectral error model on a superconducting processor</title>
    <link>https://thalens.org/papers/phy_quantum_tuna9_parity/</link>
    <guid>https://thalens.org/papers/phy_quantum_tuna9_parity/</guid>
    <description>We pre-register and test a spectral-error-mitigation prediction for the two-qubit gate fidelity of Quantum Inspire&#x27;s Tuna-9 9-qubit transmon processor and execute it in four cryptographically timestamped stages.</description>
    <pubDate>Sat, 25 Apr 2026 00:00:00 +0000</pubDate>
    <category>Physics</category>
  </item>
  <item>
    <title>A Conditional Moment-Based Diagnostic for the Riemann Hypothesis</title>
    <link>https://thalens.org/papers/nt_rh_latent_existence/</link>
    <guid>https://thalens.org/papers/nt_rh_latent_existence/</guid>
    <description>We propose a conditional moment-based diagnostic for the Riemann Hypothesis
based on stable finite rational approximations — *Latents* — for the
distribution of $|\zeta(1/2+it)|$ on the critical line.</description>
    <pubDate>Thu, 19 Mar 2026 00:00:00 +0000</pubDate>
    <category>Mathematics</category>
  </item>
  <item>
    <title>The Spectral Tensor Representation of Stochastic Processes</title>
    <link>https://thalens.org/papers/fin_tensor_spectral/</link>
    <guid>https://thalens.org/papers/fin_tensor_spectral/</guid>
    <description>We prove that every Itô diffusion $dX_t = \mu(X_t)\,dt + \sigma(X_t)\,dW_t$ admits a complete, finite-dimensional representation through its Fokker--Planck generator discretized in cosine basis.</description>
    <pubDate>Sat, 07 Mar 2026 00:00:00 +0000</pubDate>
    <category>Quantitative Finance</category>
  </item>
  <item>
    <title>The Spectral Lognormal Distribution</title>
    <link>https://thalens.org/papers/fin_fenton_spectral/</link>
    <guid>https://thalens.org/papers/fin_fenton_spectral/</guid>
    <description>The CDF of a weighted sum of correlated lognormal random variables has lacked a tractable characterization since Fenton (1960). We show that eigenvalue conditioning of the correlation matrix, followed by Fourier-cosine inversion, yields an analytic, grid-free $N$-term spectral representation of that CDF: the **Spectral Lognormal Distribution**.</description>
    <category>Quantitative Finance</category>
    <category>Lean-Verified</category>
  </item>
  <item>
    <title>The Knowledge Artifact and Knowledge Algebra of Machine Learning Models</title>
    <link>https://thalens.org/papers/ml_knowledge_artifacts_algebra/</link>
    <guid>https://thalens.org/papers/ml_knowledge_artifacts_algebra/</guid>
    <description>A 200-tree Random Forest has 126,074 parameters. Its knowledge? Three numbers and a basis.

We introduce the **Knowledge Artifact** — a portable representation of what any ML model has learned — and the **Knowledge Algebra** — provably exact arithmetic on these artifacts.</description>
    <category>Machine Learning</category>
  </item>
  <item>
    <title>Fundamental Constants as Grade-Ratio Hypotheses</title>
    <link>https://thalens.org/papers/phy_fundamental_constants_as_grade_ratios/</link>
    <guid>https://thalens.org/papers/phy_fundamental_constants_as_grade_ratios/</guid>
    <description>A speculative grade-ratio model for fundamental constants, with formalized arithmetic components and explicit physical assumptions.</description>
    <category>Physics</category>
    <category>Lean-Verified</category>
  </item>
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