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arXiv preprints from January 1, 2026 through September 16, 2026 — 04:11:39 EST

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Posted in cs.IT · 2026-01-20 · Giulio Pech, Mert Gökduman, Hanwen Yao, Henry D. Pfister

Stabilizer-Assisted Inactivation Decoding of Quantum Error-Correcting Codes with Erasures

In this work, we develop a reduced complexity maximum likelihood (ML) decoder for quantum low-density parity-check (QLDPC) codes over erasures. Our decoder combines classical inactivation decoding, which integrates peeling with symbolic guessing, with a new dual peeling procedure. In the dual peeling stage, we perform row operations...

💬 0 commentsarXiv:2601.14236v1PDF
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Posted in astro-ph.IM · 2026-01-20 · LSST Dark Energy Science Collaboration, Eric Aubourg, Camille Avestruz, Matthew R. Becker, Biswajit Biswas, Rahul Biswas, Boris Bolliet, Adam S. Bolton, Clecio R. Bom, Raphaël Bonnet-Guerrini, Alexandre Boucaud, Jean-Eric Campagne, Chihway Chang, Aleksandra Ćiprijanović, Johann Cohen-Tanugi, Michael W. Coughlin, John Franklin Crenshaw, Juan C. Cuevas-Tello, Juan de Vicente, Seth W. Digel, Steven Dillmann, Mariano Javier de León Dominguez Romero, Alex Drlica-Wagner, Sydney Erickson, Alexander T. Gagliano, Christos Georgiou, Aritra Ghosh, Matthew Grayling, Kirill A. Grishin, Alan Heavens, Lindsay R. House, Mustapha Ishak, Wassim Kabalan, Arun Kannawadi, François Lanusse, C. Danielle Leonard, Pierre-François Léget, Michelle Lochner, Yao-Yuan Mao, Peter Melchior, Grant Merz, Martin Millon, Anais Möller, Gautham Narayan, Yuuki Omori, Hiranya Peiris, Laurence Perreault-Levasseur, Andrés A. Plazas Malagón, Nesar Ramachandra, Benjamin Remy, Cécile Roucelle, Jaime Ruiz-Zapatero, Stefan Schuldt, Ignacio Sevilla-Noarbe, Ved G. Shah, Tjitske Starkenburg, Stephen Thorp, Laura Toribio San Cipriano, Tilman Tröster, Roberto Trotta, Padma Venkatraman, Amanda Wasserman, Tim White, Justine Zeghal, Tianqing Zhang, Yuanyuan Zhang

Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration

The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will produce unprecedented volumes of heterogeneous astronomical data (images, catalogs, and alerts) that challenge traditional analysis pipelines. The LSST Dark Energy Science Collaboration (DESC) aims to derive robust constraints on dark energy and dark matter...

💬 0 commentsarXiv:2601.14235v1PDF
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Posted in cs.LG · 2026-01-20 · Qiyang Li, Sergey Levine

Q-learning with Adjoint Matching

We propose Q-learning with Adjoint Matching (QAM), a novel TD-based reinforcement learning (RL) algorithm that tackles a long-standing challenge in continuous-action RL: efficient optimization of an expressive diffusion or flow-matching policy with respect to a parameterized Q-function. Effective optimization requires exploiting the...

💬 0 commentsarXiv:2601.14234v4PDF
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Posted in eess.SP · 2026-01-20 · Yekta Demirci, Guillaume Mantelet, Stephane Martel, Jean-Francois Frigon, Gunes Karabulut Kurt

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks

In Low Earth Orbit (LEO) satellite networks, Beam Hopping (BH) technology enables the efficient utilization of limited radio resources by adapting to varying user demands and link conditions. Effective BH planning requires prior knowledge of upcoming traffic at the time of scheduling, making forecasting an important sub-task....

💬 0 commentsarXiv:2601.14233v2PDF
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Posted in cs.LG · 2026-01-20 · Egor Cherepanov, Daniil Zelezetsky, Alexey K. Kovalev, Aleksandr I. Panov

KAGE-Bench: Fast Known-Axis Visual Generalization Evaluation for Reinforcement Learning

Pixel-based reinforcement learning agents often fail under purely visual distribution shift even when latent dynamics and rewards are unchanged, but existing benchmarks entangle multiple sources of shift and hinder systematic analysis. We introduce KAGE-Env, a JAX-native 2D platformer that factorizes the observation process into...

💬 0 commentsarXiv:2601.14232v2PDF
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Posted in math.DG · 2026-01-20 · Alessandro Cucinotta, Mattia Magnabosco, Daniele Semola

New Topological Restrictions For Spaces With Nonnegative Ricci Curvature

We obtain new topological restrictions for complete Riemannian manifolds with nonnegative Ricci curvature and RCD(0,n) spaces. Our main results are a Betti number rigidity theorem which answers a question open since work of M.-T. Anderson in 1990, and a vanishing theorem for the simplicial volume generalizing a theorem of M. Gromov...

💬 0 commentsarXiv:2601.14231v1PDF
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Posted in cs.CL · 2026-01-20 · Yiyang Wang, Yiqiao Jin, Alex Cabral, Josiah Hester

MASCOT: Towards Multi-Agent Socio-Collaborative Companion Systems

Multi-agent systems (MAS) are emerging as promising socio-collaborative companions for emotional and cognitive support. However, existing systems frequently suffer from persona collapse, where agents revert to generic, homogenized assistant behaviors, and social sycophancy, where agents produce redundant, non-constructive dialogue. We...

💬 0 commentsarXiv:2601.14230v2PDF
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Posted in astro-ph.CO · 2026-01-20 · Laura Iacconi, David Mulryne, David Seery

Decoupling of large-scale, adiabatic inflationary perturbations from enhanced small-scale modes at one-loop

We reconsider back-reaction from large amplitude, short-scale perturbations onto a long wavelength adiabatic mode. In a loop expansion of the long-mode power spectrum, this back-reaction appears first at 1-loop. Due to the separation between the long and short scales, the separate universe method provides a simple and efficient...

💬 0 commentsarXiv:2601.14229v1PDF
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Posted in cs.LG · 2026-01-20 · Punit Kumar, Vaibhav Saran, Divyesh Patel, Nitin Kulkarni, Alina Vereshchaka

Attention-Based Offline Reinforcement Learning and Clustering for Interpretable Sepsis Treatment

Sepsis remains one of the leading causes of mortality in intensive care units, where timely and accurate treatment decisions can significantly impact patient outcomes. In this work, we propose an interpretable decision support framework. Our system integrates four core components: (1) a clustering-based stratification module that...

💬 0 commentsarXiv:2601.14228v1PDF
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Posted in cs.SD · 2026-01-20 · Theodore Aptekarev, Vladimir Sokolovsky, Gregory Furman

Transformer Architectures for Respiratory Sound Analysis and Multimodal Diagnosis

Respiratory sound analysis is a crucial tool for screening asthma and other pulmonary pathologies, yet traditional auscultation remains subjective and experience-dependent. Our prior research established a CNN baseline using DenseNet201, which demonstrated high sensitivity in classifying respiratory sounds. In this work, we (i) adapt...

💬 0 commentsarXiv:2601.14227v1PDF
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Posted in quant-ph · 2026-01-20 · Leonardo Placidi, Ifan Williams, Enrico Rinaldi, Daniel Mills, Cristina Cîrstoiu, Vanya Eccles, Ross Duncan

Deep Learning Approaches to Quantum Error Mitigation

We present a systematic investigation of deep learning methods applied to quantum error mitigation of noisy output probability distributions from measured quantum circuits. We compare different architectures, from fully connected neural networks to transformers, and we test different design/training modalities, identifying...

💬 0 commentsarXiv:2601.14226v1PDF
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Posted in quant-ph · 2026-01-20 · Luke Coffman, N. L. Diaz, Martin Larocca, Maria Schuld, M. Cerezo

Group Fourier filtering of quantum resources in quantum phase space

Recently, it has been shown that group Fourier analysis of quantum states, i.e., decomposing them into the irreducible representations (irreps) of a symmetry group, enables new ways to characterize their resourcefulness. Given that quantum phase spaces (QPSs) provide an alternative description of quantum systems, and thus of the...

💬 0 commentsarXiv:2601.14225v1PDF
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Posted in cs.IR · 2026-01-20 · Sahel Sharifymoghaddam, Jimmy Lin

Rerank Before You Reason: Analyzing Reranking Tradeoffs through Effective Token Cost in Deep Search Agents

Deep research agents rely on iterative retrieval and reasoning to answer complex queries, but scaling test-time computation raises significant efficiency concerns. We study how to allocate reasoning budget in deep search pipelines, focusing on the role of listwise reranking. Using the BrowseComp-Plus benchmark, we analyze tradeoffs...

💬 0 commentsarXiv:2601.14224v2PDF
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Posted in math.ST · 2026-01-20 · Annika Betken, Giorgio Micali, Manuel Ruiz Marín

Symmetry Testing in Time Series using Ordinal Patterns: A U-Statistic Approach

We introduce a general framework for testing temporal symmetries in time series based on the distribution of ordinal patterns. While previous approaches have focused on specific forms of asymmetry, such as time reversal, our method provides a unified framework applicable to arbitrary symmetry tests. We establish asymptotic results for...

💬 0 commentsarXiv:2601.14223v1PDF
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Posted in astro-ph.CO · 2026-01-20 · Tiziano Schiavone, Mariaveronica De Angelis, Luis A. Escamilla, Giovanni Montani, Eleonora Di Valentino

Revisiting the Matter Creation Process: Observational Constraints on Gravitationally Induced Dark Energy and the Hubble Tension

The Hubble tension and the unknown origin of dark energy motivate the exploration of alternative mechanisms for late-time cosmic acceleration. We investigate gravitationally induced particle creation (PC) as a non-equilibrium process that can effectively mimic dynamical dark energy. Within the thermodynamic framework of open systems,...

💬 0 commentsarXiv:2601.14222v2PDF
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Posted in cs.SI · 2026-01-20 · Mohak Goyal, Lodewijk Gelauff, Naman Gupta, Ashish Goel, Kamesh Munagala

Beyond Polarization: Opinion Mixing and Social Influence in Deliberation

Deliberative processes are often discussed as increasing or decreasing polarization. This approach misses a different, and arguably more diagnostic, dimension of opinion change: whether deliberation reshuffles who agrees with whom, or simply moves everyone in parallel while preserving the pre-deliberation rank ordering. We introduce...

💬 0 commentsarXiv:2601.14221v1PDF
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Posted in eess.SP · 2026-01-20 · Wenyi Yan, Zeyuan Li, Lu Gan, Honqing Liu, Guoquan Li

Bit-Efficient Quantisation for Two-Channel Modulo-Sampling Systems

Two-channel modulo analog-to-digital converters (ADCs) enable high-dynamic-range signal sensing at the Nyquist rate per channel, but existing designs quantise both channel outputs independently, incurring redundant bitrate costs. This paper proposes a bit-efficient quantisation scheme that exploits the integer-valued structure of...

💬 0 commentsarXiv:2601.14220v1PDF
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Posted in astro-ph.GA · 2026-01-20 · Shobha Kumari, Sabyasachi Pal, Surajit Paul, Marek Jamrozy

Probing AGN duty cycle and cluster-driven morphology in a giant episodic radio galaxy

The evolution of radio jet morphology and its energetics is significantly influenced by the environment in which the host galaxy resides. As giant radio galaxies (GRGs) often extend to the scale of entire galaxy clusters ($\sim$Mpc) and beyond, they are a suitable class of objects for studying jet--intracluster medium interactions....

💬 0 commentsarXiv:2601.14219v1PDF
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Posted in astro-ph.SR · 2026-01-20 · D. P. K. Banerjee, C. E. Woodward, A. Evans, T. R. Geballe, V. Joshi, S. Starrfield

The [Fe XIII] Infrared 10747 Angstrom and 10798 Angstrom Lines in Novae

The forbidden lines of [Fe XIII] at 10,747 Angstrom and 10,798 Angsrtom are among the most prominent lines in the near-infrared spectrum of the solar corona. They have been used routinely, both outside and during eclipses, as sensitive probes of the electron density and polarization in the solar corona. Many novae pass through a...

💬 0 commentsarXiv:2601.14218v1PDF
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Posted in cs.SD · 2026-01-20 · Carlos Hernandez-Olivan, Hendrik Vincent Koops, Hao Hao Tan, Elio Quinton

Single-step Controllable Music Bandwidth Extension With Flow Matching

Audio restoration consists in inverting degradations of a digital audio signal to recover what would have been the pristine quality signal before the degradation occurred. This is valuable in contexts such as archives of music recordings, particularly those of precious historical value, for which a clean version may have been lost or...

💬 0 commentsarXiv:2601.14356v1PDF
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Posted in cond-mat.str-el · 2026-01-20 · Axel Fünfhaus, Titus Neupert, Thilo Kopp, Roser Valentí

Many-body Euler topology

Integer and fractional Chern insulators exhibit a nonzero quantized anomalous Hall conductivity due to a spontaneous breaking of time reversal symmetry. To identify nontrivial topology in their time-reversal symmetric many-body spectra, we introduce many-body Euler numbers as a counterpart to many-body Chern numbers. Exemplarily, we...

💬 0 commentsarXiv:2601.14217v1PDF
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Posted in math.AG · 2026-01-20 · Andrés Jaramillo Puentes, Hannah Markwig, Sabrina Pauli, Felix Röhrle

Tropical Methods for Counting Plane Curves -- Complex, Real and Quadratically Enriched

Since the first famous correspondence theorem by Mikhalkin appeared in 2005, tropical geometry has allowed a parallel treatment of real and complex counting problems. A prime example are the genus 0 Gromov-Witten invariants of the plane which count rational plane curves of degree d satisfying point conditions and their real...

💬 0 commentsarXiv:2601.14216v1PDF
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Posted in astro-ph.EP · 2026-01-20 · Arianna Nigioni, Julia Venturini, Emeline Bolmont, Diego Turrini, Yann Alibert, Alexandre Emsenhuber

The PAIRS project: a global formation model for planets in binaries. II. Gravitational perturbation effects from secondary stars

Roughly half of Sun-like stars have at least one stellar companion, whereas it is widely assumed that most known exoplanets orbit single stars, largely due to observational biases. However, astrometric surveys, direct imaging, and speckle interferometry are steadily increasing the number of confirmed exoplanets in binaries. A stellar...

💬 0 commentsarXiv:2601.14215v1PDF
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Posted in astro-ph.EP · 2026-01-20 · Julia Venturini, Arianna Nigioni, Maria Paula Ronco, Natacha Jungo, Alexandre Emsenhuber

The PAIRS project: a global formation model for planets in binaries. I. Effect of disc truncation on the growth of S-type planets

Binary stars are as common as single stars. The number of detected planets orbiting binaries is rapidly increasing thanks to the synergy between transit surveys, Gaia and high-resolution direct imaging campaigns. However, global planet formation models around binary stars are still underdeveloped, which limits the theoretical...

💬 0 commentsarXiv:2601.14214v1PDF
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Posted in q-bio.PE · 2026-01-20 · Emily Reynebeau, Cristina Takacs-Vesbach, Davorka Gulisija, Mitchell Newberry

Rare species advantage in Antarctic Lakes

The maintenance of diversity in complex ecological communities despite unpredictable dynamics and competitive exclusion is thought to require continual influx of new species or competitive advantages that accrue as species become rare. We examine isolated planktonic microbial communities under permanent ice cover in Antarctic lakes,...

💬 0 commentsarXiv:2601.14213v1PDF