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AI & Data Science Preprint PDF DOI

Pi-HOC: Pairwise 3D Human-Object Contact Estimation

Sravan Chittupalli, Ayush Jain, Dong Huang ยท 2026

Resolving real-world human-object interactions in images is a many-to-many challenge, in which disentangling fine-grained concurrent physical contact is particularly difficult. Existing semantic contaโ€ฆ

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AI & Data Science Preprint PDF DOI

Algorithmic Analysis of Dense Associative Memory: Finite-Size Guarantees and Adversarial Robustness

Madhava Gaikwad ยท 2026

Dense Associative Memory (DAM) generalizes Hopfield networks through higher-order interactions and achieves storage capacity that scales as $O(N^{n-1})$ under suitable pattern separation conditions. Eโ€ฆ

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Physics Preprint PDF DOI

Quantum chaos in many-body systems of indistinguishable particles

Juan-Diego Urbina, Klaus Richter ยท 2026

In quantum systems with a classical limit, advanced semiclassical methods provide the crucial link between phase-space structures, reflecting the distinction between chaotic, mixed or integrable classโ€ฆ

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Physics Preprint PDF DOI

Kelvin waves over a differentially rotating spherical shell

T. Boismard, M. Rieutord ยท 2026

Context. Be stars are presently viewed as B-type stars surrounded by a disc fueled by the star itself during episodicexcretion events. The origin of these events are poorly understood.Aims. This articโ€ฆ

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AI & Data Science Preprint PDF DOI

MCAnalysis: An Open-Source Package for Preprocessing, Modelling, and Visualisation of Menstrual Cycle Effects in Digital Health Data

Kyra Delray, Glyn Lewis, Bola Grace, Joseph Hayes, Robin Evans ยท 2026

The menstrual cycle influences numerous physiological and psychological outcomes, yet standardised, open-source statistical methods for quantifying these cyclic effects remain lacking. We developed mcโ€ฆ

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Physics Preprint PDF DOI

The parity operator for parafermions and parabosons

N.I. Stoilova, J. Van der Jeugt ยท 2026

In this paper we reexamine the definition of parafermions and parabosons by means of Green's triple relations, and extend these relations by including a parity operator $P$ which is also determined byโ€ฆ

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AI & Data Science Preprint PDF DOI

Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection

Hao Wang, Jiqing Zhang, Xin Yang, Baocai Yin, Lu Jiang, Zetian Mi, Huibing Wang ยท 2026

Camouflaged Object Detection (COD) aims to segment objects that blend seamlessly into complex backgrounds, with growing interest in exploiting additional visual modalities to enhance robustness througโ€ฆ

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AI & Data Science Preprint PDF DOI

Cell Instance Segmentation via Multi-Task Image-to-Image Schr\"odinger Bridge

Hayato Inoue, Shota Harada, Shumpei Takezaki, Ryoma Bise ยท 2026

Existing cell instance segmentation pipelines typically combine deterministic predictions with post-processing, which imposes limited explicit constraints on the global structure of instance masks. Inโ€ฆ

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Engineering Preprint PDF DOI

CBAM-Enhanced DenseNet121 for Multi-Class Chest X-Ray Classification with Grad-CAM Explainability

Utsho Kumar Dey ยท 2026

Pneumonia remains a leading cause of childhood mortality worldwide, with a heavy burden in low-resource settings such as Bangladesh where radiologist availability is limited. Most existing deep learniโ€ฆ

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AI & Data Science Preprint PDF DOI

GAM: Hierarchical Graph-based Agentic Memory for LLM Agents

Zhaofen Wu, Hanrong Zhang, Fulin Lin, Wujiang Xu, Xinran Xu, Yankai Chen, Henry Peng Zou, Shaowen Chen, Weizhi Zhang, Xue Liu, Philip S. Yu, Hongwei Wang ยท 2026

To sustain coherent long-term interactions, Large Language Model (LLM) agents must navigate the tension between acquiring new information and retaining prior knowledge. Current unified stream-based meโ€ฆ

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Physics Preprint PDF DOI

Spatially Resolved Kinematics of SLACS Lens Galaxies. II: Breaking Degeneracies with Lensing and Dynamical Models

Shawn Knabel, Tommaso Treu, Michele Cappellari, Simon Birrer, Xiang-Yu Huang, Anowar J. Shajib, William Sheu ยท 2026

We model the dynamical mass density profiles of 14 strong gravitational lens galaxies from the Sloan Lens ACS (SLACS) sample using spatially resolved kinematics obtained from Keck KCWI integral-field โ€ฆ

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AI & Data Science Preprint PDF DOI

PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation

Minjae Lee, Sungwoo Hur, Soojin Hwang, Won Hwa Kim ยท 2026

Visual Foundation Models (VFMs) such as the Segment Anything Model (SAM) have significantly advanced broad use of image segmentation. However, SAM and its variants necessitate substantial manual efforโ€ฆ

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Economics & Finance Preprint PDF DOI

What Drives Energy Use? Prices, Efficiency Policies, and the Demand Frontier

David Benatia, Remy Molinie, Pierre-Olivier Pineau ยท 2026

What drives cross-state differences in U.S. energy consumption? We combine LMDI decomposition, stochastic frontier analysis, and variable-importance methods on a panel of 50 states plus DC over the 20โ€ฆ

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Computer Science Preprint PDF DOI

NIH-MPINet: A Large-Scale Feature-Rich Network Dataset for Mapping the Frontiers of Team Science

Cuiran Shi, Shuying Han, Shreya Kusumanchi, Mia Zhou, Didong Li ยท 2026

This study presents a large-scale network dataset, NIH-MPINet, curated from NIH RePORTER and PubMed, characterizing collaboration among multiple Principal Investigators (multi-PIs) on NIH R01-equivaleโ€ฆ

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Physics Preprint PDF DOI

JOYS: Launching and destruction of dust in protostellar jets. The case of BHR71-IRS1 with JWST/MIRI

{L}ukasz Tychoniec, Logan Francis, Maria Gabriela Navarro, Jakobus M. Vorster, Ewine F. van Dishoeck, Alessio Caratti o Garatti, Korash Assani, Valentin J. M. Le Gouellec, Benoit Tabone, Pamela Klaassen, Adriaan G. M. Janssen, Kay Justtanont, Daniel Harsono, Pooneh Nazari, Simon Reyes, Katerina Slavicinska, Caroline Gieser, Tyler Bourke, Yao-Lun Yang, Brunella Nisini, Teresa Giannini, Henrik Beuther, R. Devaraj, Thomas P. Ray, Nashanty G. C. Brunken, Yuan Chen, Martijn L. van Gelder ยท 2026

Protostellar winds can theoretically lift solids from the planet-forming disks, but direct evidence for launched dust has been scarce so far. Numerous atomic lines that are unique to mid-infrared (IR)โ€ฆ

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Physics Preprint PDF DOI

A Post-starburst Galaxy Undergoing Ram-pressure Stripping at Redshift 3.06

Mingyu Li, Zheng Cai, Bjorn H. C. Emonts, Fengwu Sun, Ming Sun, Fuyan Bian, Zihao Li, Xiaojing Lin, Yunjing Wu, Franz E. Bauer, Seiji Fujimoto, Anton M. Koekemoer, Vasily Kokorev, Christopher N. A. Willmer, Eiichi Egami, Xiaohui Fan, J. Xaiver Prochaska, Zechang Sun, Fujiang Yu ยท 2026

Understanding how galaxies ignite and extinguish their star formation remains a cornerstone question in modern astrophysics. Recent JWST surveys have revealed an overabundance of massive quiescent galโ€ฆ

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Physics Preprint PDF DOI

Distinct First-to-Second Peak Yield Ratios and Timescales Reveal a Sub-dominant Prompt Channel

Yossef Zenati, Paz Beniamini, Kenta Hotokezaka ยท 2026

Stellar abundances reveal non-monotonic [Y/Eu] and [Sr/Eu] evolution, a systematic decline with increasing [Eu/H] at low metallicity, a minimum at $[\rm{Eu/H}] \sim -0.3$ and then a rise at high metalโ€ฆ

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Physics Preprint PDF DOI

A Deep ALMA Survey of the Redshift Distribution of Dusty Star-forming Galaxies

S. J. McKay, A. J. Barger, L. L. Cowie, F. E. Bauer ยท 2026

We present an Atacama Large Millimeter/submillimeter Array (ALMA) spectroscopic follow-up survey of an 870 $\mu$m-selected sample of dusty star-forming galaxies (DSFGs) in the GOODS-S field. We use thโ€ฆ

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AI & Data Science Preprint PDF DOI

Nested Atoms Model with Application to Clustering Big Population-Scale Single-Cell Data

Arhit Chakrabarti, Yang Ni, Yuchao Jiang, Bani K. Mallick ยท 2026

We consider the problem of clustering nested or hierarchical data, where observations are grouped and there are both group-level and observation-level variables. In our motivating OneK1K dataset, obseโ€ฆ

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AI & Data Science Preprint PDF DOI

The Devil is in the Details -- From OCR for Old Church Slavonic to Purely Visual Stemma Reconstruction

Armin Hoenen ยท 2026

The age of artificial intelligence has brought many new possibilities and pitfalls in many fields and tasks. The devil is in the details, and those come to the fore when building new pipelines and exeโ€ฆ

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