Qwen Councils

All arXiv

arXiv preprints from January 1, 2026 through September 23, 2026 — 10:02:13 EST

0

Posted in q-fin.CP · 2026-07-28 · Jirong Zhuang

How Likely and How Deep? Sharp Joint Bounds on Risk-Neutral Crash Probability and Conditional Depth from Option Bid-Ask Quotes

Option quotes with bid-ask spreads do not point-identify the risk-neutral probability of a crash below a given threshold, nor the expected depth of the crash once the threshold is breached. Bounds computed separately for the two quantities can mislead, because their endpoints may be attained by different risk-neutral distributions. We...

💬 0 commentsarXiv:2607.25353v2PDF
0

Posted in cs.CR · 2026-07-28 · Elisabeth Fink

Learning the Word Problem: Geodesic Lengths and Cryptographic Applications

The Word Problem has been a subject of intensive mathematical study for over a century, initially driving advances in combinatorial group theory and more recently emerging as a foundational hardness assumption in post-quantum cryptography (PQC). While generally undecidable, several families of infinite non-abelian groups exhibit...

💬 0 commentsarXiv:2607.26241v2PDF
0

Posted in q-bio.MN · 2026-07-28 · Ronan M. T. Fleming, Ines Thiele

Variational kinetics: elementary reaction kinetics via conic optimisation

Genome-scale modelling methods primarily predict reaction fluxes, whereas established high throughput experimental technologies primarily measure molecular species concentrations. This apparently paradoxical situation has arisen because implementing the non-linear constraints that represent reaction kinetic rate equations is...

💬 0 commentsarXiv:2607.25217v2PDF
0

Posted in econ.TH · 2026-07-27 · Josue Ortega

Asymptotic Equivalence of Immediate and Deferred Acceptance

Immediate Acceptance (IA, also known as the Boston mechanism) is commonly used to assign students to schools because it produces a Pareto-efficient matching if parents report their preferences over schools truthfully, unlike student-proposing Deferred Acceptance (DA). In this paper, we ask: does IA produce meaningfully better average...

💬 0 commentsarXiv:2607.24970v2PDF
0

Posted in cs.CL · 2026-07-28 · Xuan Zhao, Jiwoong Sohn, Qinyue Zheng, Michael Moor

AgentGUI: An Interface for Observing and Steering Long-Running AI Agents

AI agents are increasingly adept at tackling complex, long-running tasks. With the rapid surge of autonomous capabilities, human oversight is systematically lagging behind due to limited human-centered interfacing. Aiming to address this, we introduce AgentGUI, a user-friendly, locally hosted GUI for seamlessly observing and steering...

💬 0 commentsarXiv:2607.26300v2PDF
0

Posted in q-bio.QM · 2026-07-27 · Morteza Ganji

A Tuning-Free Variational Framework for Muscle Redundancy Resolution: Torque Fiber Proximal Dynamics with Active-Set Switching and EMG-Validated Activation Prediction

Muscle redundancy can be formulated as a constrained selection on a time-varying convex set of feasible activations. We introduce Torque Fiber Proximal Dynamics (TFPD), where activation evolves as the Euclidean projection of the previous state onto a convex polytope defined by torque equality and physiological bounds. TFPD is...

💬 0 commentsarXiv:2607.25013v2PDF
0

Posted in math.PR · 2026-07-26 · Paulo Monteiro, Rabee Tourky

Monotonicity and Rigidity in Gaussian Inverse Regression: The One-Period Kyle Model Has a Unique Equilibrium

Let $V$ and $U$ be independent standard normal random variables. For a Borel function $φ: \mathbb{R} \to \mathbb{R}$, let $P_φ$ be a version of the inverse regression $P_φ(y) = E[V \mid φ(V)+U = y]$, and let $F_φ(x) = E[P_φ(x+U)]$ be its Gaussian smoothing. We prove that $φ(v) \in \mathrm{argmax}_x \{ xv - x F_φ(x) \}$ for every real...

💬 0 commentsarXiv:2607.23585v2PDF
0

Posted in econ.GN · 2026-07-26 · Piyush Akimitsu

Wrong and More Confident: A Field Experiment on Large Language Models Taking a Graduate Economics Exam

A red herring, an irrelevant passage added to a problem, corrupts a language model's reasoning and, through it, its final answer, while the form of the response survives untouched. The benchmark, called the Graduate Economic Reasoning Benchmark (GERB), is sixty graduate-level microeconomics problems, each a detailed setup with a...

💬 0 commentsarXiv:2607.23424v3PDF
0

Posted in cond-mat.mtrl-sci · 2026-07-28 · Juliya M. Gudenko, Oleksandr S. Pylypchuk, Victor V. Vainberg, Denis O. Stetsenko, Igor A. Gvozdovskyy, Serhii E. Ivanchenko, Eugene A. Eliseev, Vladimir N. Poroshin, Anna N. Morozovska

Influence of BaTiO_3 nanoparticles on the anisotropy of the dielectric properties of nematic liquid crystal 5CB

This work is devoted to the mechanisms of dielectric response and electric conductivity of suspensions consisting of the nematic liquid crystal 5CB with different concentrations (from 0 to 10 wt.%) of ferroelectric BaTiO_3 nanoparticles with an average size of 24 nm. We revealed that the incorporation of nanoparticles influences...

💬 0 commentsarXiv:2607.26263v2PDF
0

Posted in stat.ML · 2026-07-28 · Yanli Yan, Yuanzheng Li, Yong Zhao, Hongbo Guo, Shoudong Han

More Data, Worse Decisions? Preference Reversals in Neural Networks under Gram Incompatibility

Neural networks increasingly combine data across populations, time periods, and operating conditions to improve generalization. This raises a reliability question: whether a model refitted on pooled data preserves an action ordering supported by both sources. Case-Based Decision Theory (CBDT) formalizes this requirement through its...

💬 0 commentsarXiv:2607.27255v1PDF
0

Posted in stat.ML · 2026-07-28 · Daniel Kua, Yan Song

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields?

Deep generative models (DGMs) are widely used for complex high-dimensional data and increasingly applied to spatial and spatio-temporal modeling. Their generated samples implicitly represent the learned data distribution and associated uncertainty. However, for real-world data, assessing whether DGMs have learned the underlying...

💬 0 commentsarXiv:2607.25929v2PDF
0

Posted in q-fin.CP · 2026-07-28 · Liexin Cheng, Xue Cheng, Shuaiqiang Liu, Cornelis W. Oosterlee

RIDGE: An Autonomous Framework for Validation and Method Discovery in LLM-Generated Option Pricing

Automated code generation is becoming an important tool in quantitative finance, where large language models can generate option pricing implementations directly from mathematical model specifications. Validating such implementations, however, requires considerably more than conventional software testing: numerical pricing methods...

💬 0 commentsarXiv:2607.25199v2PDF
0

Posted in cond-mat.mes-hall · 2026-07-28 · Ritam Chakraborty

Giant Bulk-Rashba Splitting in Polar Topological Insulator BiSbTeSe$_2$

Bulk-Rashba spin splitting is forbidden in tetradymite topological insulators like Bi$_2$Se$_3$ or Bi$_2$Te$_3$, since their quintuple-layer stacking preserves inversion symmetry. We show that BiSbTeSe$_2$ escapes this restriction: in the Se-Bi-Se-Sb-Te sequence, the structure loses its inversion center, reducing the point group...

💬 0 commentsarXiv:2607.26311v2PDF
0

Posted in econ.EM · 2026-07-27 · Qihui Chen, Ka Yan Cheng, Zheng Fang

Debiased Machine Learning: Identification, Estimation, and Shape Constraints

We develop a general framework of identification and estimation for automatic debiased machine learning (DML) where the parameter of interest $θ_0$ is identified by a moment condition involving a nuisance $γ_0$ that may be high dimensional. We establish conditions under which the Riesz representer $α_0$, which is at the core of DML,...

💬 0 commentsarXiv:2607.24472v2PDF
0

Posted in econ.TH · 2026-07-26 · G. Charles-Cadogan

Reference Dependence and the Structure of the WTA/WTP Gap

This paper studies the willingness-to-accept/willingness-to-pay (WTA-WTP) gap under objective probabilities. Preferences over finite lotteries satisfy completeness, transitivity, continuity, weak independence, reference partition, and range dependence. Weak independence requires von Neumann-Morgenstern independence only for mixtures...

💬 0 commentsarXiv:2607.27239v1PDF
0

Posted in econ.TH · 2026-07-26 · G. Charles-Cadogan

A Theory of Reference-Dependent Utility

This paper characterizes a class of twice continuously differentiable objective-probability preference representations exhibiting endogenous reference dependence under risk. Weak rank-dependent utility (WRDU) preserves objective probabilities, partitions outcomes at an endogenous reference point, and evaluates lotteries through a...

💬 0 commentsarXiv:2607.27238v1PDF
0

Posted in econ.GN · 2026-07-26 · Piyush Akimitsu

Wrong and More Confident: A Field Experiment on Large Language Models Taking a Graduate Economics Exam

A red herring, an irrelevant passage added to a problem, corrupts a language model's reasoning and, through it, its final answer, while the form of the response survives untouched. The benchmark, called the Graduate Economic Reasoning Benchmark (GERB), is sixty graduate-level microeconomics problems, each a detailed setup with a...

💬 0 commentsarXiv:2607.23424v2PDF
0

Posted in q-fin.TR · 2026-07-28 · Gregory Young

OpenMarket: A Synchronized Polymarket-Binance Dataset for High-Frequency Prediction-Market Research

OpenMarket began as an attempt to trade Polymarket's BTC 15-minute binary markets against Binance BTC/USDT order flow. The attempt did not produce a tradable edge: out-of-sample, a walk-forward logistic model over 43 microstructure features does not beat, and slightly underperforms, the probability already implied by Polymarket's own...

💬 0 commentsarXiv:2607.26245v1PDF
0

Posted in q-fin.ST · 2026-07-28 · Josh Molnar

Bitcoin Runs on a Clock: Why Every Price Indicator Dies and the Halving Clock Doesn't

Every widely followed Bitcoin cycle indicator (Pi Cycle, MVRV, Mayer, Puell) called turns precisely for a decade, then degraded in one sequence: precise, then early, then silent. This is one structural phenomenon. Across the four halving epochs (2011-2026), the per-cycle maxima of five top-calling oscillators decline monotonically...

💬 0 commentsarXiv:2607.26188v1PDF
0

Posted in econ.EM · 2026-07-28 · Joy Buchanan, Joshua Foster

The Innate Economic Preferences of Language Models

Language models increasingly settle real resource tradeoffs on behalf of principals yet their economic preferences remain unobserved. We demonstrate their generation rule is isomorphic to the random utility model of discrete choice. This allows internal logit scores to structurally identify preferences. Estimating risk attitudes...

💬 0 commentsarXiv:2607.26288v1PDF
0

Posted in physics.soc-ph · 2026-07-28 · Olga Kokshagina, Marc Santolini, Christoph Riedl

The Attention-Directing Ability of Teams

Why do some teams consistently mobilize collective effort and achieve superior performance while others struggle to coordinate action? We introduce Attention-Directing Ability (ADA), a latent team capability capturing how effectively members' interaction signals elicit engagement and coordinated responses from others. Extending the...

💬 0 commentsarXiv:2607.26109v1PDF
0

Posted in physics.soc-ph · 2026-07-27 · Animesh Ray

The Evolutionary Dynamics of AI, Politicization, Contestation, and Trust in Science Funding

Economic stability and progress in modern technological societies depend on vigorous and independent public funding of science and engineering research. When peer review or funding decisions are perceived as politically directed, scientists, funding agencies, and the public react in coupled and conflicting ways. We an evolutionary...

💬 0 commentsarXiv:2607.26091v1PDF
0

Posted in math.AC · 2026-07-28 · Michael DiPasquale, Louiza Fouli, Arvind Kumar

Asymptotic Resurgence of Facet ideals of Graphic Matroids

Our main results are an upper bound on the asymptotic resurgence of the facet ideal of a graphic matroid in terms of the number of vertices and a lower bound in terms of the circumference. These bounds coincide for Hamiltonian graphs, which form the majority of graphs on $n$ vertices as $n$ tends to infinity. For simple $2$-connected...

💬 0 commentsarXiv:2607.26294v1PDF
0

Posted in math.NA · 2026-07-28 · Genming Bai

Stabilization and optimal $L^2$ convergence of Dziuk's method with piecewise linear parametric finite elements for curve-shortening flow

We propose a stabilized version of the fully discrete Dziuk's method for the curve-shortening flow of a closed planar curve with piecewise linear parametric finite elements. With a carefully designed stabilization term, we are able to show a surprising discrete tangential stability of the Barrett--Garcke--Nürnberg (BGN) type under the...

💬 0 commentsarXiv:2607.26290v1PDF