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Computer Science Preprint PDF DOI

Optimal Transmitter Placement in Realistic Urban Environments

Lukas Taus, Richard Tsai, Jeffrey G. Andrews · 2026

In a wireless network, the spatial location of the transmitters has a large impact on the achievable rate at each user location. The optimal placement of -- for example -- cellular base stations is a …

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AI & Data Science Preprint PDF DOI

Do Sparse Autoencoders Capture Concept Manifolds?

Usha Bhalla, Thomas Fel, Can Rager, Sheridan Feucht, Tal Haklay, Daniel Wurgaft, Siddharth Boppana, Matthew Kowal, Vasudev Shyam, Jack Merullo, Atticus Geiger, Ekdeep Singh Lubana · 2026

Sparse autoencoders (SAEs) are widely used to extract interpretable features from neural network representations, often under the implicit assumption that concepts correspond to independent linear dir…

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Mathematics Preprint PDF DOI

The proportion of permutations fixing a $k$-set

Ben Green, Mehtaab Sawhney · 2026

Denote by $p(k)$ the limit, as $n \rightarrow \infty$, of the probability that a random permutation on a set of size $n$ has an invariant set of size $k$. We give an asymptotic formula for $p(k)$, sho…

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Mathematics Preprint PDF DOI

A torsion-intersection proof of perfect-cuboid nonexistence on 1,072 explicit master-tuple fibers

Rene Peschmann · 2026

Building on the genus-3 reduction $C_A : w^2 = \lambda^8 + A \lambda^4 + 1$ established in our companion paper (arXiv:2604.09328), we give an unconditional proof of the perfect-cuboid conjecture ("Con…

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Physics Preprint PDF DOI

A No-Cloning Trade-off Between Black Hole No-Hair and Horizon Smoothness

Sudhanva Joshi, Sunil Kumar Mishra · 2026

The black hole no-hair theorem is traditionally derived from the uniqueness theorems of general relativity. We show that a quantitative form follows from unitarity together with the standard semiclass…

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Neuroscience Preprint PDF DOI

Multisensory learning recruits visual neurons into an olfactory memory engram

Zeynep Okray, Nils Otto, Anna A. Cook, Clifford Talbot, Ashwin Miriyala, Martin Klappenbach, Ciara Stern, Kieran Desmond, Paola Vargas-Gutierrez, Scott Waddell · 2026

Associating multiple sensory cues with a single experience or object is a fundamental process that improves object recognition and memory performance. However, neural mechanisms that bind sensory feat…

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Physics Preprint PDF DOI

Rotation-Induced Pressure Anisotropy in Newtonian White Dwarfs: Sequences and Applicability Criteria

Aray Muratkhan, Saken Toktarbay, Hernando Quevedo · 2026

We introduce a fast, one-dimensional Newtonian {reduced model} to capture uniform rotation in cold white dwarfs, encoding centrifugal support as an effective pressure anisotropy. Using $\Delta_{\rm ro…

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Physics Preprint PDF DOI

TESS Asteroseismology of Red Giants in the Old Metal-Rich Open Clusters NGC 188 & NGC 6791

Madeline Howell, Jennifer A. Johnson, Marc H. Pinsonneault, Leslie M. Morales, Jamie Tayar, John D. Roberts, Dennis Stello, Madeleine McKenzie · 2026

Open clusters are fundamental laboratories for investigating stellar and Galactic evolution, and serve as important benchmarks for asteroseismic analyses. Using a boutique method to analyze TESS photo…

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Mathematics Preprint PDF DOI

A High Dimensional Wild Bootstrap Max-Test for Detecting the Presence of Significant Predictors

Jonathan B. Hill · 2026

We construct a block bootstrap max-test for detecting the presence of significant predictors in a high dimensional setting, allowing for weakly dependent and heterogeneous (possibly non-stationary) da…

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Physics Preprint PDF DOI

Data-Efficient Indentation Size Effect Correction in Steels Using Machine Learning and Physics-Guided Augmentation

Radmir Karamov, Tagir Karamov · 2026

Shallow nanoindentation enables mechanical characterization of thin films, individual phases and other volume-constrained materials, but measured hardness is often inflated by the indentation size eff…

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Physics Preprint PDF DOI

Conditional Generative Models Enable Targeted Exploration of MAX Phase Design Space

Jamie Swain, Cyprien Bone, Matthew T. Darby, Ewan Galloway, Keith T. Butler · 2026

MAX phases (M$_{n+1}$AX$_n$), precursors to MXenes, span a vast compositional space, motivating efficient computational screening for synthesisable candidates. We employ CrystaLLM$-\pi$, a large langu…

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AI & Data Science Preprint PDF DOI

The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text

Sebastiano Franchini, Alexis Carrillo, Edoardo Sebastiano De Duro, Riccardo Improta, Ali Aghazadeh Ardebili, Massimo Stella · 2026

We introduce Target-Event-Agent Networks (TEA Nets) as a computational framework to extract subjects (``Agents"), verbs (``Events"), and objects (``Targets") from texts. Grounded in cognitive network …

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Physics Preprint PDF DOI

X-Ray Spectral Variability of the TeV HBL Blazar PG 1553+113 with XMM-Newton

P. U. Devanand, Alok C. Gupta, Paul J. Wiita, V. Jithesh, Archana Gupta · 2026

We present an extensive X-ray spectral variability study of the TeV photon-emitting high-energy-peaked BL Lacertae object PG 1553+113, using the data from EPIC-PN camera of XMM-Newton, which observed …

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Physics Preprint PDF DOI

Q3SAT-GPT: A Generative Model for Discovering Quantum Circuits for the 3-SAT Problem

Pratim Ugale, Ilya Tyagin, Karunya Shirali, Kien X. Nguyen, Ilya Safro · 2026

This work introduces Q3SAT-GPT, a generative model for discovering quantum circuits for the Max-E3-SAT problem. Our method learns from high-performing QAOA-style ans\"atze to directly generate candida…

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Computer Science Preprint PDF DOI

Predicting Upcoming Stuttering Events from Three-Second Audio: Stratified Evaluation Reveals Severity-Selective Precursors, and the Model Deploys Fully On-Device

Nazar Kozak · 2026

Audio-based stuttering systems to date have been trained for detection -- what disfluency is present now -- leaving prediction, the capability needed for closed-loop intervention, unstudied at deploya…

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Mathematics Preprint PDF DOI

Hard Legendrian unknots

Joseph Breen, Austin Christian, Angela Wu · 2026

We initiate the study of Reidemeister hardness of Legendrian unknot front projections. Using normal rulings, we obstruct several infinite families of hard unknot diagrams from being drawn with max-tb …

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Economics & Finance Preprint PDF DOI

Fast-Vollib: A Fast Implied Volatility Library for Pythonwith PyTorch, JAX, and CUDA Fused-Kernel Backends

Raeid Saqur · 2026

We present fast-vollib, an open-source Python library that provides high-performance European option pricing, implied volatility (IV) computation, and Greeks under the Black-76, Black-Scholes, and Bla…

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Physics Preprint PDF DOI

Orbital Data Centers: Spacecraft Constraints and Economic Viability

Slava G. Turyshev · 2026

Orbital data centers are being evaluated as solar-powered compute constellations and relay-integrated processing platforms. Their feasibility is not set by orbital solar flux alone, but by simultaneou…

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Physics Preprint PDF DOI

The quantum group structure of long-range integrable deformations

Koen Schouten, Marius de Leeuw · 2026

Quantum integrable spin chains are known to possess a large family of long-range deformations generated by the local, boost and bilocal operators. Although these deformations are well-understood on th…

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AI & Data Science Preprint PDF DOI

A High-Throughput Compute-Efficient POMDP Hide-And-Seek-Engine (HASE) for Multi-Agent Operations

Timothy Flavin, Sandip Sen · 2026

Reinforcement Learning (RL) algorithms exhibit high sample complexity, particularly when applied to Decentralized Partially Observable Markov Decision Processes (Dec-POMDPs). As a response, projects s…

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