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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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48 results for recursive traceback

The paper explores generalizations of Mirzakhani's recursion and computes volumes for physical gravity models.

problem Computing volumes for physical gravity models.
method Topological recursion and physical two-dimensional gravity models.
result Derivation of Virasoro constraints and cut-and-join equations for generalized Mirzakhani's recursions.

This paper studies recursive ensembles driven by Fibonacci updates, improving learning dynamics.

problem Improving learning dynamics in recursive ensemble learning.
method Develops second-order recursive architectures with Fibonacci-type update flows.
result Establishes global convergence conditions and generalization bounds for recursive ensembles.

This work generalizes a formula linking Seiberg-Witten prepotential and topological recursion.

problem Analyzing the relationship between Seiberg-Witten curves and topological recursion.
method Analytical approach using Seiberg-Witten family of curves.
result A generalized formula relating Seiberg-Witten prepotential to the genus zero part of topological recursion on a Seiberg-Witten curve.

LASER compresses recursive model activations by exploiting their low-dimensional structure.

problem Understanding and optimizing the geometric structure of recursive reasoning trajectories.
method Dynamic low-rank basis tracking via matrix-free subspace tracking with a fidelity-triggered reset mechanism.
result Recursive activations occupy a linear, low-dimensional subspace that can be compressed efficiently.

We describe a method for recursively calculating Gromov-Witten invariants of all blowups of the projective plane. This recursive formula is different from the recursive formulas due to Göttsche and Pandharipande in the zero genus case, and Caporaso and Harris in the case of no blowups. We use tropical curves and a recu…

2014-11-20abs ↗pdf ↗

Topological recursion recovers a specific partition function for colored knots.

problem Recovering the extended Ooguri-Vafa partition function for colored HOMFLY-PT polynomials of torus knots.
method Applying topological recursion to the spectral curve of colored HOMFLY-PT polynomials of torus knots.
result Topological recursion reproduces the n-point functions of the extended Ooguri-Vafa partition function.

This paper concerns the recursive utility maximization problem under partial information. We first transform our problem under partial information into the one under full information. When the generator of the recursive utility is concave, we adopt the variational formulation of the recursive utility which leads to a s…

2016-05-19abs ↗pdf ↗

We derive the Do and Norbury recursion formula for the one-loop mean of an irregular spectral curve from a variant of replica method by Brezín and Hikami. We express this recursion in special times in which all terms W1(g)W_1^{(g)} of the genus expansion of the one-loop mean are polynomials. We find a generalization of th…

2015-12-31abs ↗pdf ↗

We derive a recursion relation for hyperbolic string vertices and apply it to string field theory.

problem Deriving a recursion relation for hyperbolic string vertices and its implications for string field theory.
method Using systolic volumes and a modified Mirzakhani's recursion, we construct a higher-order vertex determination for hyperbolic string field theory.
result The higher order vertices in hyperbolic string field theory are determined by the cubic vertex iteratively for any background.

Benchmarking recursive collapse claims with a new framework under false-positive control.

problem Evaluating recursive systems for failure patterns and warning claims.
method Developed Loopzero framework for testing recursive failures, specified claim boundaries in Lean, evaluated under FP constraint, and compared with standard detectors.
result No standard detectors or Loopzero's pre-registered quantile detector achieved the required operating point under the false-positive contract.

SRRM improves recursive transport surrogates in the small-discrepancy regime.

problem Insufficient understanding of recursive partitioning methods' statistical behavior and resolution in the small-discrepancy regime.
method Introduced Selective Recursive Rank Matching (SRRM) to improve the resolution of Recursive Rank Matching (RRM).
result SRRM yields a higher-fidelity practical surrogate for the Wasserstein distance at moderate additional computational cost.

Study uses reinforcement learning to optimize portfolios under recursive utility.

problem Improving portfolio allocation using risk-sensitive objectives.
method Approximated certainty equivalent via Monte Carlo, trained actor-critic algorithms (PPO, A2C).
result Recursive-utility agent outperforms discounted baseline in Sharpe ratio, max drawdown, and cumulative return.

The paper studies risk-sensitive MDPs with recursive risk measures.

problem Risk-sensitive decision-making in MDPs with unbounded costs.
method Recursive application of static risk measures, Bellman equation derivation, existence of optimal policies.
result Existence of Markovian optimal policies for infinite planning horizons, contractive model for stationary optimal policy.

This paper proves that lattice point enumeration in moduli spaces satisfies topological recursion.

problem Enumeration of lattice points in moduli spaces of curves.
method Proves topological recursion for lattice point enumeration in moduli spaces.
result The enumeration satisfies local topological recursion.

New recursive relation found for a specific torus knot.

problem Finding a recursive relation for a specific torus knot.
method Extending colored Jones polynomials to knots in (2p+1,2)(2p+1,2) torus knot complements and examining a particular knot.
result An analogous recursive relation exists for a specific (2p+1,2)(2p+1,2) torus knot.

We propose a general theory for constructing functorial assignments ΣΩΣE(Σ)Σ\longmapsto Ω_Σ \in E(Σ) for a large class of functors EE from a certain category of bordered surfaces to a suitable target category of topological vector spaces. The construction proceeds by successive excisions of homotopy classes of embedded pai…

2017-11-13abs ↗pdf ↗

Recursive training of generative models can lead to model collapse, and the recursion converges to a unique limiting distribution.

problem Model collapse in recursive training of generative models
method Recursive training on their own outputs
result Recursive training converges to a unique limiting distribution

We study topological recursion on the irregular spectral curve xy2xy+1=0xy^2-xy+1=0, which produces a weighted count of dessins d'enfant. This analysis is then applied to topological recursion on the spectral curve xy2=1xy^2=1, which takes the place of the Airy curve x=y2x=y^2 to describe asymptotic behaviour of enumerative proble…

2014-12-29abs ↗pdf ↗

New findings on stable commutator lengths in recursively presented groups.

problem Understanding stable commutator lengths in recursively presented groups.
method Analyzing recursively presented groups and infinitely presented small cancellation groups.
result All non-negative algebraic or computable numbers are in the set of stable commutator lengths.

We extend topological recursion to twisted Higgs bundles with singularities.

problem Computing Taylor expansions of period matrices for twisted Higgs bundles.
method We introduce a twisted topological recursion on the spectral curve of a twisted Higgs bundle, encoding singularities and performing the recursion explicitly.
result The g=0g=0 twisted Eynard-Orantin differentials compute the Taylor expansion of the spectral curve's period matrix, independent of the ambient space.

The paper sets limits for sequential prediction and recursive algorithms using entropy analysis.

problem Fundamental limitations in sequential prediction and recursive algorithms.
method Entropic analysis to investigate underlying relationships of data and noises.
result Derives Lp\mathcal{L}_{p} bounds quantifiable in conditional entropy.

Theoretical study on AI models' resilience to data contamination during recursive training.

problem Data contamination in recursive training of generative AI models.
method General framework with minimal assumptions on real data distribution and flexible generative models.
result Contaminated recursive training converges with a rate equal to the minimum of baseline model's rate and contamination fraction.

Paper studies metric ribbon graphs and provides a recursion for their volumes.

problem Calculating volumes of combinatorial moduli spaces of directed metric ribbon graphs.
method Decomposes directed ribbon graphs into simpler graphs with one vertex, proving a canonical recursion scheme for volumes.
result Explicit recursion for volumes of four-valent metric ribbon graphs provided.

Paper generalizes GCNNs using edge-variant recursions for better graph signal classification.

problem Improving graph signal classification performance.
method Formulates a general framework for GCNNs using edge-variant graph filters.
result Shows superior performance in graph signal classification problems.

R2-B2 optimizes game interactions with recursive reasoning.

problem Optimizing interactions between boundedly rational agents with unknown payoff functions.
method Recursive Reasoning-Based Bayesian Optimization (R2-B2) for repeated games.
result R2-B2 achieves faster asymptotic convergence to no regret than non-recursive methods.

We prove the ADO invariants are a q-holonomic family and establish recursion relations.

problem Understanding the qq-holonomic properties of ADO link invariants.
method Proving the ADO invariants are a qq-holonomic family and establishing recursion relations.
result The ADO invariants for r2r\geq 2 are a qq-holonomic family, satisfying independent recursion relations.

Deep learning solves dynamic programming with recursive utility.

problem Challenges in solving high-dimensional discrete-time dynamic programming problems with recursive utility.
method Certainty Equivalent Learning (CEL) algorithm that learns certainty-equivalent value directly with neural networks.
result Accurate value and policy approximations in high-dimensional problems, comparable to VFI in some cases.

Using the duality between Wilson loop expectation values of SU(N) Chern-Simons theory on S3S^3 and topological open-string amplitudes on the local mirror of the resolved conifold, we study knots on S3S^3 and their invariants encoded in colored HOMFLY polynomials by means of topological recursion. In the context of the …

2014-01-20abs ↗pdf ↗

Recurrent neural networks (RNNs) process input text sequentially and model the conditional transition between word tokens. In contrast, the advantages of recursive networks include that they explicitly model the compositionality and the recursive structure of natural language. However, the current recursive architectur…

2016-07-15abs ↗pdf ↗