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Biology & Life Sciences Preprint PDF DOI

The Lifetime Cardiac-Cycle Invariant in Endothermic Vertebrates: A 230-Species Comparative Dataset, Statistical Validation, and Explicit Falsifiability Criteria

Mesfin Taye · 2026

A pygmy shrew (\textit{Suncus etruscus}, ${\approx}2$\,g) sustains a resting heart rate near $1{,}000$\,beats\,min$^{-1}$ and dies within two years; an African elephant (${\approx}4{,}000$\,kg) beats …

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Physics Preprint PDF DOI

Mesogenesis through the Ephemeral Dark Decay of Beauty

Hooman Davoudiasl, Rachel Houtz, Seyda Ipek · 2026

Mesogenesis provides a path for generating the baryon asymmetry of the Universe, using only the CP violation furnished by the Standard Model in the decay of $B$ mesons. While this is an intriguing pos…

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AI & Data Science Preprint PDF DOI

Benchmarking Complex Multimodal Document Processing Pipelines: A Unified Evaluation Framework for Enterprise AI

Saurabh K. Singh, Sachin Raj · 2026

Most enterprise document AI today is a pipeline. Parse, index, retrieve, generate. Each of those stages has been studied to death on its own -- what's still hard is evaluating the system as a whole. …

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Computer Science Preprint PDF DOI

SymphonyGen: 3D Hierarchical Orchestral Generation with Controllable Harmony Skeleton

Xuzheng He, Nan Nan, Zhilin Wang, Ziyue Kang, Zhuoru Mo, Ao Li, Yu Pan, Xiaobing Li, Feng Yu, Xiaohong Guan · 2026

Generating symphonic music requires simultaneously managing high-level structural form and dense, multi-track orchestration. Existing symbolic models often struggle with a "complexity-control imbalanc…

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AI & Data Science Preprint PDF DOI

An Investigation of Linguistic Biases in LLM-Based Recommendations

Nitin Venkateswaran, Jason Ang, Deep Adhikari, Tarun Krishna Dasari · 2026

We investigate linguistic biases in LLM-based restaurant and product recommendations given prompts varying across Southern American English (AE), Indian English (IE), and Code-Switched Hindi-English d…

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AI & Data Science Preprint PDF DOI

DiRe-RAPIDS: Topology-faithful dimensionality reduction at scale

Alexander Kolpakov, Igor Rivin · 2026

Dimensionality reduction methods such as UMAP and t-SNE are central tools for visualising high-dimensional data, but their local-neighborhood objectives can preserve sampling noise while distorting gl…

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Physics Preprint PDF DOI

Adaptive Sensing beyond Non-Adaptive Information Limits: End-to-End Co-Design of Geometry, Policy, and Inference

Arvin Keshvari, William Tuxbury, Zin Lin · 2026

Inverse design has made vast physical parameter spaces a substrate for emergent behavior. In sensing, the stakes of this principle are sharpest at the analog-to-digital boundary, where any information…

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AI & Data Science Preprint PDF DOI

Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation

Zhiheng Liu, Weiming Ren, Xiaoke Huang, Shoufa Chen, Tianhong Li, Mengzhao Chen, Yatai Ji, Sen He, Jonas Schult, Belinda Zeng, Tao Xiang, Wenhu Chen, Ping Luo, Luke Zettlemoyer, Yuren Cong · 2026

Unified multimodal models typically rely on pretrained vision encoders and use separate visual representations for understanding and generation, creating misalignment between the two tasks and prevent…

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Economics & Finance Preprint PDF DOI

Coordination in complex environments

Pietro Dall'Ara · 2026

Coordination is an important aspect of innovative contexts, where: the more innovative a course of action, the more uncertain its outcome. To study the interplay of coordination and informational ``co…

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AI & Data Science Preprint PDF DOI

ZenBrain: A Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems

Alexander Bering · 2026

Despite a century of empirical memory research, existing AI agent memory systems rely on system-engineering metaphors (virtual-memory paging, flat LLM storage, Zettelkasten notes), none integrating pr…

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AI & Data Science Preprint PDF DOI

The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation

Shuaizhi Cheng, Xiang Shi, Mingwei Li · 2026

Hypernetwork-based methods such as Doc-to-LoRA internalize a document into an LLM's weights in a single forward pass, but they fail systematically on conflicts: when the document contradicts pretraini…

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AI & Data Science Preprint PDF DOI

V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think

Bingda Tang, Yuhui Zhang, Xiaohan Wang, Jiayuan Mao, Ludwig Schmidt, Serena Yeung-Levy · 2026

Aligning denoising generative models with human preferences or verifiable rewards remains a key challenge. While policy-gradient online reinforcement learning (RL) offers a principled post-training fr…

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AI & Data Science Preprint PDF DOI

Depth-Aware Rover: A Study of Edge AI and Monocular Vision for Real-World Implementation

Lomash Relia, Jai G Singla, Amitabh, Nitant Dube · 2026

This study analyses simulated and real-world implementations of depth-aware rover navigation, highlighting the transition from stereo vision to monocular depth estimation using edge AI. A Unity-based …

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Computer Science Preprint PDF DOI

Transformer-Based Rhythm Quantization of Performance MIDI Using Beat Annotations

Maximilian Wachter, Sebastian Murgul, Michael Heizmann · 2026

Rhythm transcription is a key subtask of notation-level Automatic Music Transcription (AMT). While deep learning models have been extensively used for detecting the metrical grid in audio and MIDI per…

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Physics Preprint PDF DOI

Microwave noise downconversion in interband cascade laser frequency combs

Grzegorz Gomo{l}ka, Florian Pilat, Benedikt Schwarz, Chul Soo Kim, Mijin Kim, Chadwick L. Canedy, Igor Vurgaftman, Jerry R. Meyer, {L}ukasz A. Sterczewski · 2026

Chip-scale semiconductor laser frequency combs offer remarkable prospects for compact and power-efficient optical sensors. For the laser to be suitable for typical comb applications, its degree of coh…

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Physics Preprint PDF DOI

Scalable surface ion trap design for magnetic quantum sensing and gradiometry

Qirat Iqbal, Altaf Hussain Nizamani · 2026

Magnetic quantum sensors based on trapped ions utilize properties of quantum mechanics which have optimized precision and beat current limits in sensor technology. Trapped ions are highly sensitive in…

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AI & Data Science Preprint PDF DOI

Listen and Chant Before You Read: The Ladder of Beauty in LM Pre-Training

Yoshinori Nomura · 2026

We show that pre-training a Transformer on music before language significantly accelerates language acquisition. Using piano performances (MAESTRO dataset), a developmental pipeline -- music $\to$ poe…

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AI & Data Science Preprint PDF DOI

Lifecycle-Aware Federated Continual Learning in Mobile Autonomous Systems

Beining Wu, Jun Huang · 2026

Federated continual learning (FCL) allows distributed autonomous fleets to adapt collaboratively to evolving terrain types across extended mission lifecycles. However, current approaches face several …

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Computer Science Preprint PDF DOI

Scaling Worst-Case Optimal Datalog to GPUs

Yihao Sun, Kunting Qi, Thomas Gilray, Sidharth Kumar, Kristopher Micinski · 2026

Datalog is a declarative logic-programming language used for complex analytic reasoning workloads such as program analysis and graph analytics. Datalog's popularity is due to its unique price-point, m…

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AI & Data Science Preprint PDF DOI

Large language models perceive cities through a culturally uneven baseline

Rong Zhao, Wanqi Liu, Zhizhou Sha, Nanxi Su, Yecheng Zhang · 2026

Large language models (LLMs) are increasingly used to describe, evaluate and interpret places, yet it remains unclear whether they do so from a culturally neutral standpoint. Here we test urban percep…

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