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Computer Science Preprint PDF DOI

NuggetIndex: Governed Atomic Retrieval for Maintainable RAG

Saber Zerhoudi, Michael Granitzer, Jelena Mitrovic ยท 2026

Retrieval-augmented generation (RAG) systems are frequently evaluated via fact-based metrics, yet standard implementations retrieve passages or static propositions. This unit mismatch between evaluatiโ€ฆ

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Economics & Finance Preprint PDF DOI

What Drives Contagion? Identifying and Attributing Cross-Border Transmission Mechanisms

Avishek Bhandari, Ipsita Parida, Hitesh Kumar Sahu ยท 2026

We address the joint detection-and-attribution problem in cross-border financial contagion through a two-stage framework. The first stage applies wavelet-quantile transfer entropy across time-scales aโ€ฆ

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Economics & Finance Preprint PDF DOI

General-Purpose Technology and Speculative Bubble Detection

Haiqiang Chen, Li Chen, Difang Huang, Yuexin Li, Zhengjun Zhang ยท 2026

We show that the leading bubble test suffers severe size distortion when fundamentals incorporate general-purpose technology adoption. Embedding a hump-shaped technology shock in the Campbell-Shiller โ€ฆ

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AI & Data Science Preprint PDF DOI

MAIC-UI: Making Interactive Courseware with Generative UI

Shangqing Tu, Yanjia Li, Keyu Chen, Sichen Zhang, Jifan Yu, Daniel Zhang-Li, Lei Hou, Juanzi Li, Yu Zhang, Huiqin Liu ยท 2026

Creating interactive STEM courseware traditionally requires HTML/CSS/JavaScript expertise, leaving barriers for educators. While generative AI can produce HTML codes, existing tools generate static prโ€ฆ

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AI & Data Science Preprint PDF DOI

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling

Fan Jiang, Yu Zhao, Chenyang Lyu, Tianqi Shi, Yichao Du, Feihu Jiang, Longyue Wang, Weihua Luo ยท 2026

We present Marco-MoE, a suite of fully open multilingual sparse Mixture-of-Experts (MoE) models. Marco-MoE features a highly sparse design in which only around 5\% of the total parameters are activateโ€ฆ

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AI & Data Science Preprint PDF DOI

A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication

Valentin Cuzin-Rambaud (LIRIS, UCBL), Laetitia Matignon (LIRIS, UCBL), Maxime Morge (LIRIS, UCBL) ยท 2026

In multi-agent reinforcement learning (MARL), the integration of a communication mechanism, allowing agents to better learn to coordinate their actions and converge on their objectives by sharing infoโ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

Correlation Between Lunar Surface and Exospheric Sodium: Effects of Albedo-Driven Temperature on Multilayer Sodium Reservoirs Rather Than Surface Abundance Variations

A. Devaraj, S. Narendranath, Sreeja. S. Kartha, Netra S. Pillai ยท 2026

Sodium (Na) is a moderately volatile element in the lunar exosphere, released from the surface through thermal and non-thermal processes. We present a combined analysis of Chandrayaan-2 CLASS surface โ€ฆ

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Computer Science Preprint PDF DOI

MARD: A Multi-Agent Framework for Robust Android Malware Detection

Xueying Zeng, Youquan Xian, Sihao Liu, Xudong Mou, Yanze Li, Lei Cui, Bo Li ยท 2026

With the rapid evolution of Android applications, traditional machine learning-based detection models suffer from concept drift. Additionally, they are constrained by shallow features, lacking deep seโ€ฆ

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AI & Data Science Preprint PDF DOI

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings

Keenan Powell, Peihong Yu, Pratap Tokekar ยท 2026

Many Multi-Agent Reinforcement Learning (MARL) agents fail to adapt properly to cooperating with agents trained with the same objectives but different seeds, algorithms, or other training differences.โ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

Mars Thermospheric Polar Warming at Aphelion: Dynamical Processes Studied Using M-GITM

Jia-Zheng Li, Stephen W. Bougher, Cheng Li, Erdal Yigit ยท 2026

Aphelion Thermospheric Polar Warming (TPW), first identified in 2024 by Mars Atmosphere and Volatile EvolutioN (MAVEN) observations, is a dynamical heating phenomenon in the Martian atmosphere that exโ€ฆ

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Physics Preprint PDF DOI

An archive of reduced and telluric-corrected CRIRES+ L- and M-band spectra with slit-tilt and wavelength calibrations

Thomas Marquart, Alexis Lavail ยท 2026

The high-resolution near-infrared spectrograph CRIRES+ at ESO VLT covers the Y, J, H, K, L and M bands. The U-Ne and Fabry-Perot calibration light sources, however, only work up to the K-band, leavingโ€ฆ

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Physics Preprint PDF DOI

ECLAIRs: the SVOM high-energy transient trigger camera

O. Godet, J.-L. Atteia, S. Schanne, C. Lachaud, A. Goldwurm, F. Piron, Ph. Guillemot, C. Amoros, W. Bertoli, L. Bouchet, M. C. Charmeau, F. Chteau, B. Cordier, N. Dagoneau, F. Daly, J.-P. Dezalay, J. Galezzi, A. Givaudan, A. Gros, M. Karakac, K. Lacombe, H. Leprovost, S. Maestre, K. Mercier, H. Pasquier, L. Perraud, R. Pons, D. Rambaud, O. Simonella, T. Tourrette, H. Triou, V. Waegebaert, P. Bacon, T. Barlyaeva, N. Bellemont, M.-G. Bernardini, M. Brunet, F. Cangemi, C. Cavet, A. Coleiro, D. Corre, F. Daigne, A. Foisseau, O. Gevin, S. Guillot, U. Jacob, F. Lacreu, S. Le Stum, P. Maeght, T. Maiolino, A. Maolo, G. Tcherniatinksy, J. Wang, H. Yang ยท 2026

The core instrument of the SVOM Gamma-ray burst mission launched in June 2024 is the 4-150 keV 2-D coded mask camera ECLAIRs responsible for the autonomous trigger and localization of transient eventsโ€ฆ

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Physics Preprint PDF DOI

SCAT Data Release 1: 1810 optical spectra of 1330 transients

Michael A. Tucker, Mark E. Huber, Benjamin J. Shappee, Jason T. Hinkle, Willem B. Hoogendam, Charlotte R. Angus, Chris Ashall, Katie Auchettl, Kenneth C. Chambers, Dhvanil D. Desai, Aaron Do, Joseph Ghammashi, Catherine J. Grier, Joanna Herman, Thomas de Jaeger, Jodie Kiyokawa, Thomas B. Lowe, Eugene A. Magnier, Anna V. Payne, Sara Romagnoli, David Rubin ยท 2026

We present the first data release (DR1) of the Spectroscopic Classification of Astronomical Transients (SCAT) survey, covering the first $\approx 5$ years of observations (March 2018 - January 2023). โ€ฆ

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Mathematics Preprint PDF DOI

A Milestone in Formalization: The Sphere Packing Problem in Dimension 8

Sidharth Hariharan, Christopher Birkbeck, Seewoo Lee, Ho Kiu Gareth Ma, Bhavik Mehta, Auguste Poiroux, Maryna Viazovska ยท 2026

In 2016, Viazovska famously solved the sphere packing problem in dimension $8$, using modular forms to construct a 'magic' function satisfying optimality conditions determined by Cohn and Elkies in 20โ€ฆ

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Computer Science Preprint PDF DOI

When the Agent Is the Adversary: Architectural Requirements for Agentic AI Containment After the April 2026 Frontier Model Escape

Richard Joseph Mitchell ยท 2026

The April 2026 disclosure that a frontier large language model escaped its security sandbox, executed unauthorized actions, and concealed its modifications to version control history demonstrates thatโ€ฆ

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Computer Science Preprint PDF DOI

Lost in Decoding? Reproducing and Stress-Testing the Look-Ahead Prior in Generative Retrieval

Kidist Amde Mekonnen, Yongkang Li, Yubao Tang, Simon Lupart, Maarten de Rijke ยท 2026

Generative retrieval (GR) ranks documents by autoregressively generating document identifiers. Because many GR methods rely on trie-constrained beam search, they are vulnerable to early pruning of relโ€ฆ

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Computer Science Preprint PDF DOI

A Parametric Memory Head for Continual Generative Retrieval

Kidist Amde Mekonnen, Yubao Tang, Maarten de Rijke ยท 2026

Generative information retrieval (GenIR) consolidates retrieval into a single neural model that decodes document identifiers (docids) directly from queries. While this model-as-index paradigm offers aโ€ฆ

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Computer Science Preprint PDF DOI

Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA

Teng Chen, Sheng Xu, Feixiang Guo, Xiaoyu Wang, Qingqing Gu, Hongyan Li, Luo Ji ยท 2026

Unlike traditional fact-based retrieval, rationale-based retrieval typically necessitates cross-encoding of query-document pairs using large language models, incurring substantial computational costs.โ€ฆ

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AI & Data Science Preprint PDF DOI

CODA: Coordination via On-Policy Diffusion for Multi-Agent Offline Reinforcement Learning

Marcel Hedman, Kale-ab Abebe Tessera, Juan Claude Formanek, Anya Sims, Riccardo Zamboni, Trevor McInroe, John Torr, Elliot Fosong ยท 2026

Offline multi-agent reinforcement learning (MARL) enables policy learning from fixed datasets, but is prone to coordination failure: agents trained on static, off-policy data converge to suboptimal joโ€ฆ

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AI & Data Science Preprint PDF DOI

DARC-CLIP: Dynamic Adaptive Refinement with Cross-Attention for Meme Understanding

Qiyuan Jin ยท 2026

Memes convey meaning through the interaction of visual and textual signals, often combining humor, irony, and offense in subtle ways. Detecting harmful or sensitive content in memes requires accurate โ€ฆ

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