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Computer Science Preprint PDF DOI

Akita: A High Usability Simulation Framework for Computer Architecture

Sabila Al Jannat, Ying Li, Mengyang He, Xuzhong Wang, Huizhi Zhao, Jingxiang Sun, Daoxuan Xu, Enze Xu, Yifan Sun ยท 2026

Computer architecture simulation is essential for evaluating new designs without the need for costly tapeout. The community has developed dozens of valuable simulators that have enabled significant arโ€ฆ

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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 ยท 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 featโ€ฆ

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AI & Data Science Preprint PDF DOI

Physical Foundation Models: Fixed hardware implementations of large-scale neural networks

Logan G Wright, Tianyu Wang, Tatsuhiro Onodera, Peter L. McMahon ยท 2026

Foundation models are deep neural networks (such as GPT-5, Gemini~3, and Opus~4) trained on large datasets that can perform diverse downstream tasks -- text and code generation, question answering, suโ€ฆ

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Computer Science Preprint PDF DOI

Can We Volunteer Out of the Peer Review Crisis?

Theo Tang, Toby Handfield, Julian Garcia ยท 2026

The volume of scientific manuscripts is growing faster than the capacity to evaluate them, yet the institutions that govern peer review have remained largely unchanged. The result is a widening mismatโ€ฆ

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Mathematics Preprint PDF DOI

Extension of Excess Demand Ascending Auction to Multi-Demand Model by Discrete Convex Analysis Approach

Kazuo Murota, Akiyoshi Shioura ยท 2026

We consider the problem of finding the (unique) minimal Walrasian equilibrium price in multi-item, multi-unit auction models: there are multiple indivisible items for sale, with several units of each โ€ฆ

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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 ยท 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 โ€ฆ

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Physics Preprint PDF DOI

A benchmark for binary star interaction with a supermassive black hole in general relativity

Megha Sharma, Alexander Heger, Daniel J. Price, Emilio Tejeda, Evgeni Grishin, Luis A. Manzaneda, Alessandro A. Trani ยท 2026

Most galaxies have supermassive black holes (SMBH) at their centres, surrounded by stars with binary systems also present in this environment. We use two schemes - post-Newtonian (PN) and a scalar perโ€ฆ

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Mathematics Preprint PDF DOI

A Shifted Cohesive-Zone Method for Non-Interface-Fitted Meshes with Applications to Crystal Plasticity

Cheng-Hau Yang, Mark C. Messner, Tianchen Hu ยท 2026

The accurate simulation of interface-dominated solid mechanics problems on complex microstructures remains challenging, particularly when interface-fitted quadrilateral or hexahedral meshes are difficโ€ฆ

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Physics Preprint PDF DOI

Self-consistent modelling and qualitative comparison of mildly relativistic runaway electron dynamics with a closed flux surface formation model during tokamak startup

Y. Lee, H.-T. Kim, P.C. de Vries, P. Aleynikov, J. Lee, K. Park, T. Park, J. Gwak, G. Nam, W. I. Jeong, K.-D. Lee, J.-G. Bak, J. Jang, J.-W. Juhn, Y.-S. Lee, J.-K. Park, Y.-S. Na ยท 2026

A model for mildly relativistic Runaway Electrons (REs) is developed in a reduced-kinetic form and qualitatively compared with radiation characteristics observed in KSTAR ohmic startup. The mildly relโ€ฆ

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AI & Data Science Preprint PDF DOI

When 2D Tasks Meet 1D Serialization: On Serialization Friction in Structured Tasks

Chung-Hsiang Lo, Lu Li, Diji Yang, Tianyu Zhang, Yunkai Zhang, Yoshua Bengio, Yi Zhang ยท 2026

Large language models (LLMs) conventionally process structured inputs as 1D token sequences. While natural for prose, such linearization may introduce additional representational burden for tasks whosโ€ฆ

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Mathematics Preprint PDF DOI

Exact Flatness Constant for One-Point Convex Bodies and the Discrete Isominwidth Problem: The Planar Case

Gennadiy Averkov, Giulia Codenotti, Ansgar Freyer, Kyle Huang ยท 2026

A variant of the flatness problem from integer programming is studied, in which one considers convex bodies in $\mathbb{R}^d$ with at most $k$ interior lattice points. The maximum lattice width of sucโ€ฆ

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Physics Preprint PDF DOI

Enhanced stability from co-resonant cavities in a monolithic array

Alexandra Crawford, Jacob Williamson, Robert Leonard, Ce Pei, Aniruddha Bhattacharya, Meagan Plummer, Seth Hyra, Spencer Olson, Chandra Raman ยท 2026

We demonstrate a micro-Fabry-P\'erot cavity array through laser etching of high-surface-quality mirrors onto a single fused silica substrate. A cavity finesse of $4750\pm 200$ was achieved with a simpโ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

Formation and Trapping of CO2 from Cryogenic Irradiation of Carbonate

Ashma Pandya, Swaroop Chandra, Michael E. Brown ยท 2026

The detection of CO2 on the Jovian satellite Europa by Galileo NIMS and recent mapping of the leading side by JWST has revealed that it is most concentrated in geologically young terrains, and its v3 โ€ฆ

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Physics Preprint PDF DOI

Unmasking Hidden Wigner's Symmetry from First Principles

Phong Dang, Daniel Langr, Tomas Dytrych, Jerry P. Draayer, David Kekejian ยท 2026

We present quantitative evidence that high-quality internucleon forces derived from $\chi$EFT exhibit a striking dominance of Wigner's supermultiplet symmetry, without invoking the large-$N_c$ limit oโ€ฆ

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Physics Preprint PDF DOI

First-Principles Thermodynamic Analysis of Ternary Chalcogenide Phase Change Materials

Felix Adams, Ichiro Takeuchi, Carlos Rios Ocampo, Yifei Mo ยท 2026

Chalcogenide phase-change materials (PCMs) are important for nonvolatile memory and reconfigurable photonic technologies. The GeTe-Sb2Te3 mixture system, commonly referred to as GST, is the most well-โ€ฆ

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Biology & Life Sciences Preprint PDF DOI

Modeling the impact of host diversity on the evolution of vector feeding preferences and implications for disease control

Shravani Shetgaonkar, Anupama Sharma ยท 2026

Vector-borne diseases often infect multiple host species, increasing the likelihood of disease persistence due to the presence of multiple reservoirs. Vector biting patterns and feeding preferences caโ€ฆ

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Physics Preprint PDF DOI

Characterizing six seismic solar analogs observed by Kepler, K2, and HERMES

R. A. Garcia, S. Mathur, G. T. Hookway, D. Godoy-Rivera, T. Masseron, J. Betrisey, G. Buldgen, C. Lindsay, T. S. Metcalfe, O. J. Scutt, A. Stokholm, P. G. Beck, O. Benomar, G. R. Davies, A. Jimenez, J. Merc, M. B. Nielsen, E. Panetier, F. Perez Hernandez, L. Borg, S. N. Breton, L. Debacker, A. Escorza, D. H. Grossmann, A. Hamy, B. Liagre, M. N. Lund, S. Mathis, D.B. Palakkatharappil, A. R. G. Santos, V. Delsanti, L. Gonzalez-Cuesta, V. Fox, N. Proust ยท 2026

Solar analogs, stars that closely match the fundamental properties of the Sun, provide key benchmarks for testing stellar structure and evolution across different ages and activity levels. Their detaiโ€ฆ

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AI & Data Science Preprint PDF DOI

Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling

Zhen Zhang, Changyi Yang, Zijie Xia, Zhen Yang, Chengzhi Liu, Zhaotiao Weng, Yepeng Liu, Haobo Chen, Jin Pan, Chenyang Zhao, Yuheng Bu, Alkesh Patel, Zhe Gan, Xin Eric Wang ยท 2026

Token serves as the fundamental unit of computation in modern autoregressive models, and generation length directly influences both inference cost and reasoning performance. Despite its importance, exโ€ฆ

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AI & Data Science Preprint PDF DOI

Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data

Bao Pham, Mohammed J. Zaki, Luca Ambrogioni, Dmitry Krotov, Matteo Negri ยท 2026

When do language diffusion models memorize their training data, and how to quantitatively assess their true generative regime? We address these questions by showing that Uniform-based Discrete Diffusiโ€ฆ

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AI & Data Science Preprint PDF DOI

HalluCiteChecker: A Lightweight Toolkit for Hallucinated Citation Detection and Verification in the Era of AI Scientists

Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe ยท 2026

We introduce HalluCiteChecker, a toolkit for detecting and verifying hallucinated citations in scientific papers. While AI assistant technologies have transformed the academic writing process, includiโ€ฆ

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