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f252dff2cbc6a0467e638e6b1bc6aa890f30a606153a815775e9ceee0f75474f
2026-02-02T00:00:00-05:00
Emotions Where Art Thou: Understanding and Characterizing the Emotional Latent Space of Large Language Models
arXiv:2510.22042v2 Announce Type: replace Abstract: This work investigates how large language models (LLMs) internally represent emotion by analyzing the geometry of their hidden-state space. The paper identifies a low-dimensional emotional manifold and shows that emotional representations are directionally encoded, di...
https://arxiv.org/abs/2510.22042
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3b829bc6be9326106f5e259c54325235adb858a25cb8ed8ea6dc24e23e96f79a
2026-02-02T00:00:00-05:00
Batch Speculative Decoding Done Right
arXiv:2510.22876v2 Announce Type: replace Abstract: Speculative decoding must produce outputs distribution identical to standard autoregressive generation-this output equivalence is not an optimization target but the defining criterion of valid speculative decoding. We demonstrate that all existing batch speculative de...
https://arxiv.org/abs/2510.22876
Academic Papers
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6004d982a376eb2ec83a9312d20d2fca3d82215e307bf15887f21c020f31371b
2026-02-02T00:00:00-05:00
Equivariant Neural Networks for General Linear Symmetries on Lie Algebras
arXiv:2510.22984v2 Announce Type: replace Abstract: Many scientific and geometric problems exhibit general linear symmetries, yet most equivariant neural networks are built for compact groups or simple vector features, limiting their reuse on matrix-valued data such as covariances, inertias, or shape tensors. We introd...
https://arxiv.org/abs/2510.22984
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e541b9106acc35d1f9f0b0875cfbf5dbbbdd67e3822de21c868e8ed869cdc3bd
2026-02-02T00:00:00-05:00
Are Agents Probabilistic Automata? A Trace-Based, Memory-Constrained Theory of Agentic AI
arXiv:2510.23487v2 Announce Type: replace Abstract: This paper studies standard controller architectures for agentic AI and derives automata-theoretic models of their interaction behavior via trace semantics and abstraction. We model an agent implementation as a finite control program augmented with explicit memory pri...
https://arxiv.org/abs/2510.23487
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b90a0178b989a97a2aac8e2f7f49e9b063e66593bb504802bd660a320f31a2dc
2026-02-02T00:00:00-05:00
Key and Value Weights Are Probably All You Need: On the Necessity of the Query, Key, Value weight Triplet in Encoder-Only and Decoder-Only Transformers
arXiv:2510.23912v4 Announce Type: replace Abstract: We theoretically investigate whether the Query, Key, Value weight triplet can be reduced in encoder-only and decoder-only transformers. Under mild assumptions, we prove that Query weights are redundant and can be replaced with the identity matrix, reducing attention p...
https://arxiv.org/abs/2510.23912
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557309a50795aed335e79b16f3e4e6961d9f4e248e7172e0badf615e163aa28a
2026-02-02T00:00:00-05:00
Can Aha Moments Be Fake? Identifying True and Decorative Thinking Steps in Chain-of-Thought
arXiv:2510.24941v2 Announce Type: replace Abstract: Large language models can generate long chain-of-thought (CoT) reasoning, but it remains unclear whether the verbalized steps reflect the models' internal thinking. In this work, we propose a True Thinking Score (TTS) to quantify the causal contribution of each step i...
https://arxiv.org/abs/2510.24941
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8746b01a7f477299f3add446177cbb088ac8bdcbbd2650e4b767cd30747f3713
2026-02-02T00:00:00-05:00
An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation
arXiv:2510.25128v2 Announce Type: replace Abstract: The technique of data augmentation (DA) is often used in machine learning for regularization purposes to better generalize under i.i.d. settings. In this work, we present a unifying framework with topics in causal inference to make a case for the use of DA beyond just...
https://arxiv.org/abs/2510.25128
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ad5f426f19b739630c9df8f9357e1243d0b2886ab486392dff1274d4d4c49fb9
2026-02-02T00:00:00-05:00
An Aristotelian ontology of instrumental goals: Structural features to be managed and not failures to be eliminated
arXiv:2510.25471v2 Announce Type: replace Abstract: Instrumental goals such as resource acquisition, power-seeking, and self-preservation are key to contemporary AI alignment research, yet the phenomenon's ontology remains under-theorised. This article develops an ontological account of instrumental goals and draws out...
https://arxiv.org/abs/2510.25471
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841922589d5be934af827c312b0ba0934f4654c7caac988984a8af4768a6bd29
2026-02-02T00:00:00-05:00
Right for the Right Reasons: Avoiding Reasoning Shortcuts via Prototypical Neurosymbolic AI
arXiv:2510.25497v3 Announce Type: replace Abstract: Neurosymbolic AI is growing in popularity thanks to its ability to combine neural perception and symbolic reasoning in end-to-end trainable models. However, recent findings reveal these are prone to shortcut reasoning, i.e., to learning unindented concepts--or neural ...
https://arxiv.org/abs/2510.25497
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5ca2dbb6bebc4c9dcc5d6e47cd2e1febd545bd1ff18f309fd0e64d5a03be9a21
2026-02-02T00:00:00-05:00
Metis-SPECS: Decoupling Multimodal Learning via Self-distilled Preference-based Cold Start
arXiv:2510.25801v3 Announce Type: replace Abstract: Reinforcement learning (RL) with verifiable rewards has recently catalyzed a wave of "MLLM-r1" approaches that bring RL to vision language models. Most representative paradigms begin with a cold start, typically employing supervised fine-tuning (SFT), to initialize th...
https://arxiv.org/abs/2510.25801
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2301e80f84f474a563a3a6badd75920efd2de5685e8f665cee978b82dc2a7f03
2026-02-02T00:00:00-05:00
OneTrans: Unified Feature Interaction and Sequence Modeling with One Transformer in Industrial Recommender
arXiv:2510.26104v2 Announce Type: replace Abstract: In recommendation systems, scaling up feature-interaction modules (e.g., Wukong, RankMixer) or user-behavior sequence modules (e.g., LONGER) has achieved notable success. However, these efforts typically proceed on separate tracks, which not only hinders bidirectional...
https://arxiv.org/abs/2510.26104
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dfac74e5b608ec6e08065327395e60cdd42e84f9cfdc17a18a42ec27ce4e11ff
2026-02-02T00:00:00-05:00
BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement Finetuning
arXiv:2510.26374v3 Announce Type: replace Abstract: Reinforcement finetuning (RFT) is a key technique for aligning Large Language Models (LLMs) with human preferences and enhancing reasoning, yet its effectiveness is highly sensitive to which tasks are explored during training. Uniform task sampling is inefficient, was...
https://arxiv.org/abs/2510.26374
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bca4c8dd70d188828e44e804c2ebe875dff3f378201d6db96f6bc0a39153f802
2026-02-02T00:00:00-05:00
LoCoT2V-Bench: Benchmarking Long-Form and Complex Text-to-Video Generation
arXiv:2510.26412v2 Announce Type: replace Abstract: Recent advances in text-to-video generation have achieved impressive performance on short clips, yet evaluating long-form generation under complex textual inputs remains a significant challenge. In response to this challenge, we present LoCoT2V-Bench, a benchmark for ...
https://arxiv.org/abs/2510.26412
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4e2080a2d00738392277092f137c53104832622350ae380af9eb4ffe64da35aa
2026-02-02T00:00:00-05:00
A Comprehensive Evaluation and Practice of System Penetration Testing
arXiv:2510.26555v2 Announce Type: replace Abstract: With the rapid advancement of information technology, the complexity of applications continues to increase, and the cybersecurity challenges we face are also escalating. This paper aims to investigate the methods and practices of system security penetration testing, e...
https://arxiv.org/abs/2510.26555
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c44e6bbd1c17f4a742cae18f9f0ee0b39574c6906196fe20f51df5d7ea50ac78
2026-02-02T00:00:00-05:00
CATArena: Evaluating Evolutionary Capabilities of Code Agents via Iterative Tournaments
arXiv:2510.26852v2 Announce Type: replace Abstract: Current evaluation for Large Language Model (LLM) code agents predominantly focus on generating functional code in single-turn scenarios, which fails to evaluate the agent's capability for continuous code optimization and multi-turn iterative development. To bridge th...
https://arxiv.org/abs/2510.26852
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d4a6e21760b36ef2039a7243d39322ef4062914aa9c57bdc949e5d69003a7f8f
2026-02-02T00:00:00-05:00
Closing the Expression Gap in LLM Instructions via Socratic Questioning
arXiv:2510.27410v3 Announce Type: replace Abstract: A fundamental bottleneck in human-AI collaboration is the ``intention expression gap," the difficulty for humans to effectively convey complex, high-dimensional thoughts to AI. This challenge often traps users in inefficient trial-and-error loops and is exacerbated by...
https://arxiv.org/abs/2510.27410
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d17d845c2865eafdd2bc2aeecb6e7dcee1663d72c951a6a87fc2d6e6c2327a02
2026-02-02T00:00:00-05:00
NegoCollab: A Common Representation Negotiation Approach for Heterogeneous Collaborative Perception
arXiv:2510.27647v3 Announce Type: replace Abstract: Collaborative perception improves task performance by expanding the perception range through information sharing among agents. . Immutable heterogeneity poses a significant challenge in collaborative perception, as participating agents may employ different and fixed p...
https://arxiv.org/abs/2510.27647
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b6fd91b3dccb3e558f101e5b64616ff99b5ea2498bc9c6d7fb908385d7ff95a2
2026-02-02T00:00:00-05:00
Sharpness-Guided Group Relative Policy Optimization via Probability Shaping
arXiv:2511.00066v3 Announce Type: replace Abstract: Reinforcement learning with verifiable rewards (RLVR) has become a practical route to improve large language model reasoning, and Group Relative Policy Optimization (GRPO) is a widely used optimizer in this setting. However, RLVR training is typically performed with l...
https://arxiv.org/abs/2511.00066
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2694afc346a38ed8b13ac9bbf28a4422ac2296a5e6044a0cd0d7168f0bc3e22a
2026-02-02T00:00:00-05:00
Latent Domain Prompt Learning for Vision-Language Models
arXiv:2511.00067v2 Announce Type: replace Abstract: The objective of domain generalization (DG) is to enable models to be robust against domain shift. DG is crucial for deploying vision-language models (VLMs) in real-world applications, yet most existing methods rely on domain labels that may not be available and often...
https://arxiv.org/abs/2511.00067
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ab6381dfbacfa0bcc125ee9cf4561d8e9034c795846c94338a78398e9814627a
2026-02-02T00:00:00-05:00
Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning
arXiv:2511.00655v2 Announce Type: replace Abstract: Federated learning (FL) enables collaborative model training across distributed clients without sharing raw data, yet its scalability is limited by synchronization overhead. Asynchronous federated learning (AFL) alleviates this issue by allowing clients to communicate...
https://arxiv.org/abs/2511.00655
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e4a35409375cb6314b16572ee8f75a5a64399eccf3f61073106878076dd1ca1b
2026-02-02T00:00:00-05:00
Multi-Step Knowledge Interaction Analysis via Rank-2 Subspace Disentanglement
arXiv:2511.01706v2 Announce Type: replace Abstract: Natural Language Explanations (NLEs) describe how Large Language Models (LLMs) make decisions by drawing on external Context Knowledge (CK) and Parametric Knowledge (PK). Understanding the interaction between these sources is key to assessing NLE grounding, yet these ...
https://arxiv.org/abs/2511.01706
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e6eafdd14b64c73f9090063165e352b7e88a2bea5c60b8bd26427c9bdeb0b7d6
2026-02-02T00:00:00-05:00
On the Coordination of Value-Maximizing Bidders
arXiv:2511.04993v2 Announce Type: replace Abstract: While the auto-bidding literature predominantly considers independent bidding, we investigate the coordination problem among multiple auto-bidders in online advertising platforms. Two motivating scenarios are: collaborative bidding among multiple bidders managed by a ...
https://arxiv.org/abs/2511.04993
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65f9cac853851f13f3360b19baa2766e91a1b55770ed2b2aab14a13d906eb94d
2026-02-02T00:00:00-05:00
Multi-agent Coordination via Flow Matching
arXiv:2511.05005v2 Announce Type: replace Abstract: This work presents MAC-Flow, a simple yet expressive framework for multi-agent coordination. We argue that requirements of effective coordination are twofold: (i) a rich representation of the diverse joint behaviors present in offline data and (ii) the ability to act ...
https://arxiv.org/abs/2511.05005
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8e1c7b383c8643fc7edc901a206577c802b81745675f83ba15282a9d417b0d96
2026-02-02T00:00:00-05:00
Omni-View: Unlocking How Generation Facilitates Understanding in Unified 3D Model based on Multiview images
arXiv:2511.07222v2 Announce Type: replace Abstract: This paper presents Omni-View, which extends the unified multimodal understanding and generation to 3D scenes based on multiview images, exploring the principle that "generation facilitates understanding". Consisting of understanding model, texture module, and geometr...
https://arxiv.org/abs/2511.07222
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f68669ddea819813ce2941c7b08c149d68db82d853e9b9bdc32ba555ddbdfd77
2026-02-02T00:00:00-05:00
Breaking the Adversarial Robustness-Performance Trade-off in Text Classification via Manifold Purification
arXiv:2511.07888v2 Announce Type: replace Abstract: A persistent challenge in text classification (TC) is that enhancing model robustness against adversarial attacks typically degrades performance on clean data. We argue that this challenge can be resolved by modeling the distribution of clean samples in the encoder em...
https://arxiv.org/abs/2511.07888
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0c474b7c11692635e25c352a4f36c7d6f8a9698950566c2d5312175dc129c7e6
2026-02-02T00:00:00-05:00
MACEval: A Multi-Agent Continual Evaluation Network for Large Models
arXiv:2511.09139v2 Announce Type: replace Abstract: Hundreds of benchmarks dedicated to evaluating large models have been presented over the past few years. However, most of them remain closed-ended and are prone to overfitting due to the potential data contamination. Moreover, the increasing scale and scope of current...
https://arxiv.org/abs/2511.09139
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dc0889be37bde620d6583dc771bff52bf5bca63413a08c0bd0d400516a6093db
2026-02-02T00:00:00-05:00
SiDGen: Structure-informed Diffusion for Generative modeling of Ligands for Proteins
arXiv:2511.09529v3 Announce Type: replace Abstract: Structure-based drug design (SBDD) faces a fundamental scaling fidelity dilemma: rich pocket-aware conditioning captures interaction geometry but can be costly, often scales quadratically ($O(L^2)$) or worse with protein length ($L$), while efficient sequence-only con...
https://arxiv.org/abs/2511.09529
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57be49021535e02478c936f4aa7a084aeb3ea4633fe66959aa2474ee5e3ad82a
2026-02-02T00:00:00-05:00
Optimal Fairness under Local Differential Privacy
arXiv:2511.16377v2 Announce Type: replace Abstract: We investigate how to optimally design local differential privacy (LDP) mechanisms that reduce data unfairness and thereby improve fairness in downstream classification. We first derive a closed-form optimal mechanism for binary sensitive attributes and then develop a...
https://arxiv.org/abs/2511.16377
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7e218333f63972021b89cf2bd526804db82747a43255fdaaa2a474b4304acd34
2026-02-02T00:00:00-05:00
Geometric-disentangelment Unlearning
arXiv:2511.17100v3 Announce Type: replace Abstract: Large language models (LLMs) can internalize private or harmful content, motivating unlearning that removes a forget set while preserving retaining knowledge. However, forgetting updates often cause collateral degradation on retaining knowledge, creating a persistent ...
https://arxiv.org/abs/2511.17100
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320a774c87b03eaef8b0657de4cc16073456b4c777722c4d4891aca511d9fd3e
2026-02-02T00:00:00-05:00
RoboArmGS: High-Quality Robotic Arm Splatting via B\'ezier Curve Refinement
arXiv:2511.17961v2 Announce Type: replace Abstract: Constructing photorealistic and controllable robotic arm digital assets from real observations is fundamental to robotic applications. Current approaches naively bind static 3D Gaussians according to URDF links, forcing them to follow an URDF-rigged motion passively. ...
https://arxiv.org/abs/2511.17961
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ef55d30d85bc32e8c88427274f56b3bf9eb051163f40ffbbd4d0e3c81f33ded2
2026-02-02T00:00:00-05:00
What Helps Language Models Predict Human Beliefs: Demographics or Prior Stances?
arXiv:2511.18616v2 Announce Type: replace Abstract: Beliefs shape how people reason, communicate, and behave. Rather than existing in isolation, they exhibit a rich correlational structure--some connected through logical dependencies, others through indirect associations or social processes. As usage of large language ...
https://arxiv.org/abs/2511.18616
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cfd075dc7ed37d84ed9d37f1cb1af337b4d31beb0523d3c3c21a94baae91ade7
2026-02-02T00:00:00-05:00
SSA: Sparse Sparse Attention by Aligning Full and Sparse Attention Outputs in Feature Space
arXiv:2511.20102v2 Announce Type: replace Abstract: Sparse attention reduces the quadratic complexity of full self-attention but faces two challenges: (1) an attention gap, where applying sparse attention to full-attention-trained models causes performance degradation due to train-inference distribution mismatch, and (...
https://arxiv.org/abs/2511.20102
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ab37ccc094f6cef1f96609e721356a2a724ecb3be43bcc189223defe79434225
2026-02-02T00:00:00-05:00
HAFO: A Force-Adaptive Control Framework for Humanoid Robots in Intense Interaction Environments
arXiv:2511.20275v4 Announce Type: replace Abstract: Reinforcement learning (RL) controllers have made impressive progress in humanoid locomotion and light-weight object manipulation. However, achieving robust and precise motion control with intense force interaction remains a significant challenge. To address these lim...
https://arxiv.org/abs/2511.20275
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42b31fa9412e27395a1f598556040f71d180d583ab26d86692e2b3196332dc5b
2026-02-02T00:00:00-05:00
Readout-Side Bypass for Residual Hybrid Quantum-Classical Models
arXiv:2511.20922v3 Announce Type: replace Abstract: Quantum machine learning (QML) promises compact and expressive representations, but suffers from the measurement bottleneck - a narrow quantum-to-classical readout that limits performance and amplifies privacy risk. We propose a lightweight residual hybrid architectur...
https://arxiv.org/abs/2511.20922
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bd6a1152e33f1775f25a5813630bf0038dac4a322a81cdcab96e03f7e49a8bd7
2026-02-02T00:00:00-05:00
Robust gene prioritization for Dietary Restriction via Fast-mRMR Feature Selection techniques
arXiv:2511.21211v2 Announce Type: replace Abstract: Gene prioritization (identifying genes potentially associated with a biological process) is increasingly tackled with Artificial Intelligence. However, existing methods struggle with the high dimensionality and incomplete labelling of biomedical data. This work propos...
https://arxiv.org/abs/2511.21211
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b110be2792079cd34c7ca5e30bef1a50e3fcca68b08b18ae64e331ca44fb367c
2026-02-02T00:00:00-05:00
TALES: A Taxonomy and Analysis of Cultural Representations in LLM-generated Stories
arXiv:2511.21322v2 Announce Type: replace Abstract: Millions of users across the globe turn to AI chatbots for their creative needs, inviting widespread interest in understanding how they represent diverse cultures. However, evaluating cultural representations in open-ended tasks remains challenging and underexplored. ...
https://arxiv.org/abs/2511.21322
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9ddeb71bdd376dc21cb28f05b074f81cd30aa71165f1c7879d2bcbc40ae5d8d4
2026-02-02T00:00:00-05:00
Age Optimal Sampling and Routing under Intermittent Links and Energy Constraints
arXiv:2512.00985v2 Announce Type: replace Abstract: Links in practical systems, such as satellite--terrestrial integrated networks, exhibit distinct delay distributions, intermittent availability, and heterogeneous energy costs. These characteristics pose significant challenges to maintaining timely and energy-efficien...
https://arxiv.org/abs/2512.00985
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3c3d93c8ee86e42d7b48b631adaec6c217f1f3e34feda7f3c3e34340ebbc15d4
2026-02-02T00:00:00-05:00
Beyond Retrieval: A Modular Benchmark for Academic Deep Research Agents
arXiv:2512.00986v2 Announce Type: replace Abstract: A surge in academic publications calls for automated deep research (DR) systems, but accurately evaluating them is still an open problem. First, existing benchmarks often focus narrowly on retrieval while neglecting high-level planning and reasoning. Second, existing ...
https://arxiv.org/abs/2512.00986
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49ef5655ee6a80ce4a8e477075be623550f675545dc8ba1d3c4326d618bebe53
2026-02-02T00:00:00-05:00
ChartAnchor: Chart Grounding with Structural-Semantic Fidelity
arXiv:2512.01017v3 Announce Type: replace Abstract: Recent advances in multimodal large language models (MLLMs) highlight the need for benchmarks that rigorously evaluate structured chart comprehension. Chart grounding refers to the bidirectional alignment between a chart's visual appearance and its structured semantic...
https://arxiv.org/abs/2512.01017
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7a9a0a606503d6e3e9393f3559b9e8f3ba5cdf8d7c9d36b2f1970b2c6882d805
2026-02-02T00:00:00-05:00
Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
arXiv:2512.01372v3 Announce Type: replace Abstract: Multimodal recommendation aims to integrate collaborative signals with heterogeneous content such as visual and textual information, but remains challenged by modality-specific noise, semantic inconsistency, and unstable propagation over user-item graphs. These issues...
https://arxiv.org/abs/2512.01372
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69cc86dbf8006a9568635dd457f10009af0fe89cb2f36b9af780c918b34d701b
2026-02-02T00:00:00-05:00
Tuning-Free Structured Sparse Recovery of Multiple Measurement Vectors using Implicit Regularization
arXiv:2512.03393v2 Announce Type: replace Abstract: Recovering jointly sparse signals in the multiple measurement vectors (MMV) setting is a fundamental problem in machine learning, but traditional methods often require careful parameter tuning or prior knowledge of the sparsity of the signal and/or noise variance. We ...
https://arxiv.org/abs/2512.03393
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6c0aa1580c638413ff18c8c6e73f601e970747b3ce85e4f6f13690fe54611a91
2026-02-02T00:00:00-05:00
An Automated Framework for Large-Scale Graph-Based Cerebrovascular Analysis
arXiv:2512.03869v3 Announce Type: replace Abstract: We present CaravelMetrics, a computational framework for automated cerebrovascular analysis that models vessel morphology through skeletonization-derived graph representations. The framework integrates atlas-based regional parcellation, centerline extraction, and grap...
https://arxiv.org/abs/2512.03869
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aaa191f3c86cb1758ade0c514ae33d8cdcca24d2a6722bea7184e68604386c7a
2026-02-02T00:00:00-05:00
EtCon: Edit-then-Consolidate for Reliable Knowledge Editing
arXiv:2512.04753v2 Announce Type: replace Abstract: Knowledge editing aims to update specific facts in large language models (LLMs) without full retraining. Prior efforts sought to tune the knowledge layers of LLMs, achieving improved performance in controlled, teacher-forced evaluations. However, they still encounter ...
https://arxiv.org/abs/2512.04753
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04f43e573718d8ab7c7300a55cd5e1c926a94dd2762783aa69defe15d524ac1d
2026-02-02T00:00:00-05:00
SHAP-Guided Kernel Actor-Critic for Explainable Reinforcement Learning
arXiv:2512.05291v2 Announce Type: replace Abstract: Actor-critic (AC) methods are a cornerstone of reinforcement learning (RL) but offer limited interpretability. Current explainable RL methods seldom use state attributions to assist training. Rather, they treat all state features equally, thereby neglecting the hetero...
https://arxiv.org/abs/2512.05291
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627ac8534c4c4f6a98223e0ad77cfa841c40be846a40755c58eb4ea9389537ae
2026-02-02T00:00:00-05:00
Mitigating the Safety Alignment Tax with Null-Space Constrained Policy Optimization
arXiv:2512.11391v2 Announce Type: replace Abstract: As Large Language Models (LLMs) are increasingly deployed in real-world applications, it is important to ensure their behaviors align with human values, societal norms, and ethical principles. However, safety alignment under Reinforcement Learning (RL) often suffers f...
https://arxiv.org/abs/2512.11391
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13972954ba02658a2479adce7ee2e531982b29335a794a1dd70280993b662a93
2026-02-02T00:00:00-05:00
Bounding Hallucinations: Information-Theoretic Guarantees for RAG Systems via Merlin-Arthur Protocols
arXiv:2512.11614v2 Announce Type: replace Abstract: Retrieval-augmented generation (RAG) relies on retrieved context to guide large language models (LLM), yet treats retrieval as a weak heuristic rather than verifiable evidence -- leading to unsupported answers, hallucinations, and reliance on spurious context. We intr...
https://arxiv.org/abs/2512.11614
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5bfe11efc542be0a560a4addcd59eebd95bf613051e8bcbaa1baeb647d56dda6
2026-02-02T00:00:00-05:00
Video Deepfake Abuse: How Company Choices Predictably Shape Misuse Patterns
arXiv:2512.11815v2 Announce Type: replace Abstract: In 2022, AI image generators crossed a key threshold, enabling much more efficient and dynamic production of photorealistic deepfake images than before. This enabled opportunities for creative and positive uses of these models. However, it also enabled unprecedented o...
https://arxiv.org/abs/2512.11815
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29ec692da57fe9908c2dfaee023472616cc0a7b38513ecadf9217001b0776297
2026-02-02T00:00:00-05:00
ReGlove: A Soft Pneumatic Glove for Activities of Daily Living Assistance via Wrist-Mounted Vision
arXiv:2512.11824v2 Announce Type: replace Abstract: This paper presents ReGlove, a system that converts low-cost commercial pneumatic rehabilitation gloves into vision-guided assistive orthoses. Chronic upper-limb impairment affects millions worldwide, yet existing assistive technologies remain prohibitively expensive ...
https://arxiv.org/abs/2512.11824
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191f1f3b11e6aa1583f65c9a14525400f7044e696317a86c9d0c2b30875bef9e
2026-02-02T00:00:00-05:00
From Tokens to Photons: Test-Time Physical Prompting for Vision-Language Models
arXiv:2512.12571v2 Announce Type: replace Abstract: To extend the application of vision-language models (VLMs) from web images to sensor-mediated physical environments, we propose Multi-View Physical-prompt for Test-Time Adaptation (MVP), a forward-only framework that moves test-time adaptation (TTA) from tokens to pho...
https://arxiv.org/abs/2512.12571
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1ed73776aeb2830522638fd6537bee16f0425c0561801e50ad6ea5be2412b5b7
2026-02-02T00:00:00-05:00
Dual-Phase Federated Deep Unlearning via Weight-Aware Rollback and Reconstruction
arXiv:2512.13381v2 Announce Type: replace Abstract: Federated Unlearning (FUL) focuses on client data and computing power to offer a privacy-preserving solution. However, high computational demands, complex incentive mechanisms, and disparities in client-side computing power often lead to long times and higher costs. T...
https://arxiv.org/abs/2512.13381
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1604e747f1b033f0147174f5f5915cf186bfec07a58a63d660850171e24fbae2
2026-02-02T00:00:00-05:00
Random-Bridges as Stochastic Transports for Generative Models
arXiv:2512.14190v2 Announce Type: replace Abstract: This paper motivates the use of random-bridges -- stochastic processes conditioned to take target distributions at fixed timepoints -- in the realm of generative modelling. Herein, random-bridges can act as stochastic transports between two probability distributions w...
https://arxiv.org/abs/2512.14190
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6eafb6849c240e04b7a1794701adb5fb0722a9e6a9ea3574dffd8988b074e166
2026-02-02T00:00:00-05:00
Uni-Parser Technical Report
arXiv:2512.15098v3 Announce Type: replace Abstract: This technical report introduces Uni-Parser, an industrial-grade document parsing engine tailored for scientific literature and patents, delivering high throughput, robust accuracy, and cost efficiency. Unlike pipeline-based document parsing methods, Uni-Parser employ...
https://arxiv.org/abs/2512.15098
Academic Papers
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c0b861ea5f454eecb9b9c70fb709b7f9edf5ccd1de83d1a5623bf8301b2d636b
2026-02-02T00:00:00-05:00
RefineBridge: Generative Bridge Models Improve Financial Forecasting by Foundation Models
arXiv:2512.21572v2 Announce Type: replace Abstract: Financial time series forecasting is particularly challenging for transformer-based time series foundation models (TSFMs) due to non-stationarity, heavy-tailed distributions, and high-frequency noise present in data. Low-rank adaptation (LoRA) has become a popular par...
https://arxiv.org/abs/2512.21572
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161789b3eafdbdfd91039a4fac887e550cc9f0ef13698abe31f263288d1a0a52
2026-02-02T00:00:00-05:00
Multi-agent Adaptive Mechanism Design
arXiv:2512.21794v2 Announce Type: replace Abstract: We study a sequential mechanism design problem in which a principal seeks to elicit truthful reports from multiple rational agents while starting with no prior knowledge of agents' beliefs. We introduce Distributionally Robust Adaptive Mechanism (DRAM), a general fram...
https://arxiv.org/abs/2512.21794
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f54cb57ee54352450de6b14555888cbcacb86134c1fdeda4153f416ec2e049d7
2026-02-02T00:00:00-05:00
SLIM-Brain: A Data- and Training-Efficient Foundation Model for fMRI Data Analysis
arXiv:2512.21881v3 Announce Type: replace Abstract: Foundation models are emerging as a powerful paradigm for fMRI analysis, but current approaches face a dual bottleneck of data- and training-efficiency. Atlas-based methods aggregate voxel signals into fixed regions of interest, reducing data dimensionality but discar...
https://arxiv.org/abs/2512.21881
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05b9af5b2e666c43970bc3927760013c2d439cb02c5b2f292e9f109d9b9e56f8
2026-02-02T00:00:00-05:00
Towards a Benchmark for Dependency Decision-Making
arXiv:2601.00205v2 Announce Type: replace Abstract: AI coding agents increasingly modify real software repositories and make dependency decisions, including adding, removing, or updating third-party packages. These choices can materially affect security posture and maintenance burden, yet repository-level evaluations l...
https://arxiv.org/abs/2601.00205
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60e3bcad086ec02ade556057d38986da566d94e147449acd7a5dedac9bf8f160
2026-02-02T00:00:00-05:00
Deep Delta Learning
arXiv:2601.00417v2 Announce Type: replace Abstract: The effectiveness of deep residual networks hinges on the identity shortcut connection. While this mechanism alleviates the vanishing-gradient problem, it also has a strictly additive inductive bias on feature transformations, limiting the network's ability to model c...
https://arxiv.org/abs/2601.00417
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e0ba5da409d36f12ad546916fa5a9f19f9ecfa888816f3d09a392e62e8f78739
2026-02-02T00:00:00-05:00
IRPM: Intergroup Relative Preference Modeling for Pointwise Generative Reward Models
arXiv:2601.00677v2 Announce Type: replace Abstract: Generative Reward Models (GRMs) have demonstrated strong performance in reward modeling, due to their interpretability and potential for refinement through reinforcement learning (RL). However, widely used pairwise GRMs create a computational bottleneck in reinforceme...
https://arxiv.org/abs/2601.00677
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df7d7a7b239c62e5d650b979081ba5acbb2adf862b371fd3126e6db771952827
2026-02-02T00:00:00-05:00
AnimatedLLM: Explaining LLMs with Interactive Visualizations
arXiv:2601.04213v2 Announce Type: replace Abstract: Large language models (LLMs) are becoming central to natural language processing education, yet materials showing their mechanics are sparse. We present AnimatedLLM, an interactive web application that provides step-by-step visualizations of a Transformer language mod...
https://arxiv.org/abs/2601.04213
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22fa5844510494010dc23f9b4844a72b94c1ffe62737795817af12b37be0df5d
2026-02-02T00:00:00-05:00
Emergent Coordination in Multi-Agent Systems via Pressure Fields and Temporal Decay
arXiv:2601.08129v3 Announce Type: replace Abstract: Current multi-agent LLM frameworks rely on explicit orchestration patterns borrowed from human organizational structures: planners delegate to executors, managers coordinate workers, and hierarchical control flow governs agent interactions. These approaches suffer fro...
https://arxiv.org/abs/2601.08129
Academic Papers
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49b4f9196184a4eefe6e8877b0a4b3703e7985a5e04aac6c5120d9eb1e5f04eb
2026-02-02T00:00:00-05:00
DeepResearch Bench II: Diagnosing Deep Research Agents via Rubrics from Expert Report
arXiv:2601.08536v2 Announce Type: replace Abstract: Deep Research Systems (DRS) aim to help users search the web, synthesize information, and deliver comprehensive investigative reports. However, how to rigorously evaluate these systems remains under-explored. Existing deep-research benchmarks often fall into two failu...
https://arxiv.org/abs/2601.08536
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5974c3a9728977232d8bcbf206086fe4f2933dbd93c48492050c776089bdbe0f
2026-02-02T00:00:00-05:00
ATOD: An Evaluation Framework and Benchmark for Agentic Task-Oriented Dialogue Systems
arXiv:2601.11854v2 Announce Type: replace Abstract: Recent advances in task-oriented dialogue (TOD) systems, driven by large language models (LLMs) with extensive API and tool integration, have enabled conversational agents to coordinate interleaved goals, maintain long-horizon context, and act proactively through asyn...
https://arxiv.org/abs/2601.11854
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feb2571557e56c58eecee0e589673a2a74becef774b7a02bceb26c6ae7bf5209
2026-02-02T00:00:00-05:00
A combined criterion of surface free energy and roughness to predict the wettability of non-ideal low-energy surfaces
arXiv:2601.22172v1 Announce Type: new Abstract: The significance of wettability between solid and liquid substances in different fields encourages scientists to develop accurate models to estimate the resultant apparent contact angles. Surface free energy (SFE), which is principally defined for ideal (flat) surfaces, i...
https://arxiv.org/abs/2601.22172
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66b5f4e207124eb027edbc30426e49ae4e2a82feaa3cea6df20045189b916fbb
2026-02-02T00:00:00-05:00
Universal rapid machine learning models for predicting unconvoluted and convoluted X-ray Absorption Spectra
arXiv:2601.22173v1 Announce Type: new Abstract: X-ray absorption near edge structure (XANES) is an essential tool for elucidating the atomic-scale, local three-dimensional (3D) structure of given materials and molecules. The rapid computation of XANES based on molecular 3D structures constitutes a vital element of quan...
https://arxiv.org/abs/2601.22173
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246aa6daf0bfcb64e44ed3383d8350c8de56f787bc020c6a7fddbb85f361f369
2026-02-02T00:00:00-05:00
Resonant Coupling Between Electromagnetic Waves and Protein Conformational Dynamics Revealed by Molecular Dynamics Simulations
arXiv:2601.22180v1 Announce Type: new Abstract: The biological effects of electromagnetic fields on proteins remain controversial beyond well-established thermal mechanisms, particularly with respect to frequency-dependent responses. Here, we propose that electromagnetic waves can modulate protein conformation through ...
https://arxiv.org/abs/2601.22180
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8c53e3fcc5a69e8efff7137abfd93408b8400bd2bf6dd3c9368d9542061c66a1
2026-02-02T00:00:00-05:00
Performance evaluation of an offshore wave measurement buoy in monochromatic waves
arXiv:2601.22186v1 Announce Type: new Abstract: The accurate measurement of waves underpins marine energy resource characterization, device design, and project development. Datawell wave buoys are widely deployed around the world and have long served as a trusted standard for wave measurements. We quantify the measurem...
https://arxiv.org/abs/2601.22186
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68cedcd9b72cbd59977b129932210d12b6b28d6666633724f25bec1cd57600fc
2026-02-02T00:00:00-05:00
The Beta-Bound: Drift constraints for Gated Quantum Probabilities
arXiv:2601.22188v1 Announce Type: new Abstract: Quantum mechanics provides extraordinarily accurate probabilistic predictions, yet the framework remains silent on what distinguishes quantum systems from definite measurement outcomes. This paper develops a measurement-theoretic framework for projective gating. The centr...
https://arxiv.org/abs/2601.22188
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3435d77522d109a697c9117ccc00b99371fdcc69bec81dc86c5ecce59ddcd786
2026-02-02T00:00:00-05:00
Chitosan/alginate bionanocomposites adorned with mesoporous silica nanoparticles for bone tissue engineering
arXiv:2601.22192v1 Announce Type: new Abstract: The regeneration of oral and craniofacial bone defects ranging from minor periodontal and peri-implant defects to large and critical lesions imposes a substantial global health burden. Conventional therapies are associated with several limitations, highlighting the develo...
https://arxiv.org/abs/2601.22192
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13d3123a8cdeafb1064756ca4a94d5e47af6a8581f6ec8a243771ea6765232d6
2026-02-02T00:00:00-05:00
Zero-information limit of a collective olfactory search model
arXiv:2601.22233v1 Announce Type: new Abstract: We address the problem of how individuals can integrate efficiently their private behavior with information provided by others within a group. To this end, we consider the model of collective search introduced in [https://doi.org/10.1103/PhysRevE.102.012402], under a mini...
https://arxiv.org/abs/2601.22233
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8a66b0f508d87a2565e69dcfd02d779eb2cc0d6fc7479fbfc58db32de2d70750
2026-02-02T00:00:00-05:00
Time-domain optical coherence tomography at 2 $\mu\mathrm{m}$ using GaSb-based broadband superluminescent diode
arXiv:2601.22261v1 Announce Type: new Abstract: We report a time-domain optical coherence tomography (TD-OCT) system operating in the 2 $\mu\mathrm{m}$ spectral region, enabled by a GaSb-based superluminescent diode (SLD). The spectrum emitted by the SLD exhibits a full-width half-maximum (FWHM) of $\sim$80 nm centred ...
https://arxiv.org/abs/2601.22261
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9ef1db9b96c92047ddd1c684e079e95426ea3a4874f564082ad092aee00bbe79
2026-02-02T00:00:00-05:00
Distinguishable spreading dynamics in microbial communities
arXiv:2601.22293v1 Announce Type: new Abstract: A packed community of exponentially proliferating microbes will spread in size exponentially. However, due to nutrient depletion, mechanical constraints, or other limitations, exponential proliferation is not indefinite, and the spreading slows. Here, we theoretically exp...
https://arxiv.org/abs/2601.22293
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b0e40c23d94ce6163a68afc730e3e522b82be3074fb5c9b583a10b9c04bcf2aa
2026-02-02T00:00:00-05:00
Online unsupervised Hebbian learning in deep photonic neuromorphic networks
arXiv:2601.22300v1 Announce Type: new Abstract: While software implementations of neural networks have driven significant advances in computation, the von Neumann architecture imposes fundamental limitations on speed and energy efficiency. Neuromorphic networks, with structures inspired by the brain's architecture, off...
https://arxiv.org/abs/2601.22300
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160be70a546db066e367cde44bae56607925ef8359ea16a714ef7437f9a8d9c3
2026-02-02T00:00:00-05:00
Correcting temporal bias in mobility data using time-use surveys
arXiv:2601.22330v1 Announce Type: new Abstract: GPS mobility data is a valuable source of behavioral measurement which is subject to systematic biases including the over- or under-representation of demographic groups, and variations in the quality of location sampling across time. In this paper, we address the challeng...
https://arxiv.org/abs/2601.22330
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21d889f15d178b5dc4d5da1f4f01df8ecae757972b673eda44a539399d62ea33
2026-02-02T00:00:00-05:00
High-resolution calorimetric sample platforms for cryogenic thermodynamic studies with multimodal synchrotron x-ray compatibility
arXiv:2601.22342v1 Announce Type: new Abstract: X-ray calorimetric sample platforms combining specific heat and synchrotron x-ray measurements provide a powerful means to investigate fundamental material properties. Calorimeter cell designs featuring a compact heater and thermometer arranged in a sidecar geometry, with...
https://arxiv.org/abs/2601.22342
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642d4d418d797fe63a1aa42cebd2c1ae8e66766371047df5c58acf274fc24682
2026-02-02T00:00:00-05:00
Low energy elastic scattering of H, D and T on $^{3}$He and $^{4}$He
arXiv:2601.22360v1 Announce Type: new Abstract: Motivated by the needs of atomic tritium sources for neutrino mass experiments, we present calculations of energy-dependent elastic scattering cross sections of hydrogen isotopes (H, D and T) on helium isotopes ($^3$He and $^4$He) in the temperature range 1~mK to 300~K. T...
https://arxiv.org/abs/2601.22360
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f30ca7ba8f4c085a05f83ae9545c0bae985f413dd145c4e8f375639bf4fe9905
2026-02-02T00:00:00-05:00
PPG-Based Heart Rate Accuracy in Diverse Populations: Investigating Inequities Across Body Composition and Skin Tones
arXiv:2601.22377v1 Announce Type: new Abstract: Wearable devices are widely used for heart rate (HR) monitoring, yet their accuracy across diverse body compositions and skin tones remains uncertain. This study evaluated four wrist worn devices (Apple, Fitbit, Samsung, Garmin) in 58 Hispanic adults with Fitzpatrick skin...
https://arxiv.org/abs/2601.22377
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431e8b6ea013dcd6f1a404bdc1dc77edca69e5b85316a2ef87a6677368a5d0c8
2026-02-02T00:00:00-05:00
Convergent Discovery of Critical Phenomena Mathematics Across Disciplines: A Cross-Domain Analysis
arXiv:2601.22389v1 Announce Type: new Abstract: Techniques for detecting critical phenomena -- phase transitions where correlation length diverges and small perturbations have large effects -- have been developed across at least eight fields of application over nine decades. We document this convergence pattern. The ph...
https://arxiv.org/abs/2601.22389
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84114fe3f837d1d41730b374d2009866d18b9047290660625e850af635decaa5
2026-02-02T00:00:00-05:00
Body Fat, Skin Tone, and the Accuracy of Smartwatch Caloric Expenditure Estimates
arXiv:2601.22391v1 Announce Type: new Abstract: Smartwatches are widely used to estimate caloric expenditure for weight management, clinical decision making, and public health monitoring. These devices combine photoplethysmography, accelerometry, and proprietary algorithms. However, prior studies report substantial err...
https://arxiv.org/abs/2601.22391
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15ddc93f9f0184a73662e8892c1b9177c7ca6fe0e9c5c237502db2586af3af5f
2026-02-02T00:00:00-05:00
Active Learning vs Traditional Lecturing in Introductory Mechanics: A Pooled Pass-Rate Benchmark Under Common Departmental Assessments from a Latin American Institutional Change Initiative
arXiv:2601.22428v1 Announce Type: new Abstract: Improving student success in introductory physics remains a persistent challenge despite substantial progress from research-based instructional practices. Evidence from the Latin American context remains limited, where resources for instructional change are often constrai...
https://arxiv.org/abs/2601.22428
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6edae6879ecf067f29222ba82ddc6c18f4754caf49aeeb54d5bc3aa0e9444273
2026-02-02T00:00:00-05:00
Correlation-Based Diagnostics of Social Contagion Dynamics in Multiplex Networks
arXiv:2601.22459v1 Announce Type: new Abstract: Multiplex contagion dynamics display localization phenomena in which spreading activity concentrates on a subset of layers, as well as delocalized regimes where layers behave collectively. We investigate how these regimes are encoded in temporal correlations of node activ...
https://arxiv.org/abs/2601.22459
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913a78bc1ee57293a1ad2771d205b3197674fe18b1803c99bd40eddb1b2a1fc1
2026-02-02T00:00:00-05:00
Observation of Janus Chirality for Coherent Thermal Emission from Metasurfaces
arXiv:2601.22506v1 Announce Type: new Abstract: Metasurfaces emerged as a powerful tool for controlling thermal radiation, yet achieving coherent emission with opposite circular handednesses remains a highly challenging problem. Here, we demonstrate experimentally the Janus chiral thermal emission from metasurfaces wit...
https://arxiv.org/abs/2601.22506
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7be7cf4815309045f9983227c10d9c58496aa050e9ab280d77be7e8360da278c
2026-02-02T00:00:00-05:00
Linking Extratropical Forecast Degradation to Tropical Cyclones in Physical and AI Models
arXiv:2601.22540v1 Announce Type: new Abstract: Global medium-range weather forecasts suffer occasional failures ("busts"), often linked to tropical cyclones (TCs). We systematically investigate the TC influences by clustering historical TC tracks and comparing skill of forecasts from a physics-based model (ECMWF-IFS) ...
https://arxiv.org/abs/2601.22540
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3e2221b0a516c1199e1d45eda3b84e6a001e82466369daf166f546e4f0c7746c
2026-02-02T00:00:00-05:00
Strong Coupling Between RF Photons and Plasmons of Electrons on Liquid Helium
arXiv:2601.22552v1 Announce Type: new Abstract: Plasmons, arising from the collective motion of electrons, can interact strongly with electromagnetic fields or photons; this capability has been exploited across a broad range of applications, from chemical reactivity to biosensing. Recently, there has been growing inter...
https://arxiv.org/abs/2601.22552
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51d8cb1fa8604a98f46dd0a3af0c013d18677b0638c41ebf6667344185804512
2026-02-02T00:00:00-05:00
Cross-feeding yields high-dimensional chaos and coexistence of species beyond exclusion principle
arXiv:2601.22564v1 Announce Type: new Abstract: Species interactions through cross-feeding via leakage and uptake of chemicals are important in microbial communities, and play an essential role in the coexistence of diverse species. Here, we study a simple dynamical model of a microbial community in which species inter...
https://arxiv.org/abs/2601.22564
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7ed5b95a6823ed2cb7d61c0a4116d627775d5101200a1a5966175afe9ecc4959
2026-02-02T00:00:00-05:00
Sculpting of Martian brain terrain reveals the drying of ancient Mars
arXiv:2601.22606v1 Announce Type: new Abstract: The Martian brain terrain (MBT), characterized by its unique brain-like morphology, is a potential geological archive for finding hints of paleoclimatic conditions during its formation period. The morphological similarity of MBT to self-organized patterned ground on Earth...
https://arxiv.org/abs/2601.22606
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cbec9155bed08e83e75b61013e9d14fd1c291598dc518b91c9a7fa59c12b7898
2026-02-02T00:00:00-05:00
Fluid transport by a single active filament in a three-dimensional two-phase flow
arXiv:2601.22698v1 Announce Type: new Abstract: Micro-scale cilia play a vital role in mucociliary clearance (MCC) in the human respiratory airways. In this numerical study, we examine fluid transport driven by the active beating of a single filament immersed in a three-dimensional two-phase flow. The cilium is modeled...
https://arxiv.org/abs/2601.22698
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fedc44c5549812761269d0b94d4f6bfddae49143557007c99ef7e0e86eed409b
2026-02-02T00:00:00-05:00
Hybrid MCP-PMT characterisation on a testbeam with Cherenkov setup
arXiv:2601.22713v1 Announce Type: new Abstract: A novel photodetector based on a MCP-PMT vacuum tube with encapsulated CMOS ASIC has been tested at the CERN SPS high energy hadron beam, allowing single photon Cherenkov detection operating at 10$^4$ gain and with timing resolution of about 280~ps.
https://arxiv.org/abs/2601.22713
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8d079739673ad2d82685c65260a9890fc666fd29a6396cc6ef05f58f36c30bd1
2026-02-02T00:00:00-05:00
A Wide Bandwidth Trans-impedance Amplifier for Picosecond-Scale SiPM Characterization in a Wide Temperature Range
arXiv:2601.22727v1 Announce Type: new Abstract: Future high-energy physics experiments using SiPMs as photosensitive elements may require operation at low temperatures (down to 80 K) to measure single photons with high time resolution in a highly radioactive environment. This calls for a complete characterization of th...
https://arxiv.org/abs/2601.22727
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04275f096ff73f56c8ea2d89ea81661e928a5c220ae6477975af266ac00b27d5
2026-02-02T00:00:00-05:00
Combining quasi-static and high frequency experiments for the viscoelastic characterization of brain tissue
arXiv:2601.22743v1 Announce Type: new Abstract: Mechanical models of brain tissue are a beneficial tool to simulate neurosurgical interventions, disease progression, or brain development. However, the accuracy and predictive capacity of such a model relies on a precise experimental characterization of the tissue's mech...
https://arxiv.org/abs/2601.22743
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4b110181ff489ab22b6408121cd39ba07e93d661eb23b47a5e957bdb6cd5e4cc
2026-02-02T00:00:00-05:00
Femtosecond Nonadiabatic Confinement of Molecular Dication Yield
arXiv:2601.22750v1 Announce Type: new Abstract: Doubly charged molecular cations often carry signatures of electronic correlation and electron-nuclear entanglement present in the parent cation. Here, we produce ethylene dications using a combination of an extreme ultraviolet pump and near-infrared probe pulses, observi...
https://arxiv.org/abs/2601.22750
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5f13ff7f1fc88fc555319940ebd386641e560c7e646586befd332c15a8956375
2026-02-02T00:00:00-05:00
Electroactive morphing effects on the aerodynamic performance through wobulation around an A320 wing with vibrating trailing edge at high Reynolds number
arXiv:2601.22768v1 Announce Type: new Abstract: This study aims to investigate the effects of electroactive morphing on a 70cm chord A320 wing by means of near trailing edge slight deformation and vibration. Wing morphing is performed by Macro Fiber Composites (MFC) mini-piezoelectric actuators distributed along the sp...
https://arxiv.org/abs/2601.22768
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506e117f52bbc94cf462af903102f38e26d3348241555f321bbc5703a9ba458b
2026-02-02T00:00:00-05:00
Fast Eikonal Phase Retrieval for High-Throughput Beamlines
arXiv:2601.22793v1 Announce Type: new Abstract: We introduce a fast Eikonal Phase Retrieval (EPR) formulation that accelerates eikonal phase retrieval by more than two orders of magnitude while retaining controlled accuracy. The method is derived from a second-order asymptotic expansion in the propagation distance $L$ ...
https://arxiv.org/abs/2601.22793
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4570341d48b44e72d6a69d753044593e7bfefec61da959fd936a71c388c82650
2026-02-02T00:00:00-05:00
Batch Bayesian optimization of attosecond betatron pulses from laser wakefield acceleration
arXiv:2601.22794v1 Announce Type: new Abstract: Laser wakefield acceleration can generate a femtosecond-scale broadband X-ray betatron radiation pulse from electrons accelerated by an intense laser pulse in a plasma. The micrometer-scale of the source makes wakefield betatron radiation well-suited for advanced imaging ...
https://arxiv.org/abs/2601.22794
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2d5a8e1b609cc1a42f5ee79bfff4067e68f2145bd7c2e63c411fa1bde51cf2b8
2026-02-02T00:00:00-05:00
Inverse Design of the Topology Bandwidth Tradeoff in Valley Photonic Crystals
arXiv:2601.22958v1 Announce Type: new Abstract: Integrated on-chip photonics increasingly relies on wave propagation that remains stable in the presence of fabrication imperfections, tight bends, and dense routing. Valley photonic crystals (VPCs) offer an attractive path: by opening a gap at the Dirac points of a hexag...
https://arxiv.org/abs/2601.22958
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5b5b9d231b6b1530906e56a9efa67df719d28f4b8649e76bba2c86e6145692a0
2026-02-02T00:00:00-05:00
Simulation and optimization of the Active Magnetic Shield of the n2EDM experiment
arXiv:2601.22960v1 Announce Type: new Abstract: The n2EDM experiment at the Paul Scherrer Institute aims to conduct a high-sensitivity search for the electric dipole moment of the neutron. Magnetic stability and control are achieved through a combination of passive shielding, provided by a magnetically shielded room (M...
https://arxiv.org/abs/2601.22960
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875da95a96206b08909b3b2ffebbbcfb128aa6df00670b4a4b4afd0bbe36828c
2026-02-02T00:00:00-05:00
Wichmann-Kroll Correction in Muonic Atoms and Hydrogen-Like Electronic Ions: a Comparative Study of Two Methods
arXiv:2601.22979v1 Announce Type: new Abstract: Wichmann-Kroll corrections are calculated in both hydrogen-like electronic ions and muonic systems ($Z = \{36$--$92\}$) using two independent methods. The Gaussian finite basis set approach, enhanced with dual basis construction, analytical large-distance corrections, and...
https://arxiv.org/abs/2601.22979
Academic Papers
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c87321e83da049db4ab89be8a490fd8d20a7e2b57d5587f60310cec3a1401247
2026-02-02T00:00:00-05:00
Direct observation of the optical Magnus effect with a trapped ion
arXiv:2601.22981v1 Announce Type: new Abstract: We directly observe and spatially map an optical analog of the Magnus effect, where intrinsic spin-orbit-like coupling of light generates a spin-dependent transverse displacement of the atom-light interaction profile for a $^{40}$Ca$^+$ ion. Probed on a quadrupole transit...
https://arxiv.org/abs/2601.22981
Academic Papers
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8d8e6fd5eeb8c420ce340eda4c70cda5b189f55e50283f72515d63bdd0005789
2026-02-02T00:00:00-05:00
Unambiguous Vector Magnetometry with Structured Light in Atomic Vapor
arXiv:2601.22998v1 Announce Type: new Abstract: Absorption profiles of vector light upon interaction with atomic vapor carries distinct signatures of external magnetic field vector. However, this signature becomes ambiguous for anti parallel magnetic field vectors of equal magnitude, which makes their absorption profil...
https://arxiv.org/abs/2601.22998
Academic Papers
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ba0896fcdfc86944af7947128ae2d7c1dfc9ef9826682025ff274c8e0639b57c
2026-02-02T00:00:00-05:00
Perturbative Born theory for light scattering by time-modulated scatterers
arXiv:2601.23003v1 Announce Type: new Abstract: We present a theoretical framework for electromagnetic scattering by particles with a permittivity that is periodically varying in time, based on a perturbative approach. Within this framework, we derive explicit expressions for the scattering matrix of the dynamic system...
https://arxiv.org/abs/2601.23003
Academic Papers
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5495e48b4e440b2a0cbac9716523f6a52bfcc8155a8279a8ab11c83bca35c344
2026-02-02T00:00:00-05:00
Dancing rivulets in an air-filled Hele-Shaw cell
arXiv:2601.23025v1 Announce Type: new Abstract: We study the behaviour of a thin fluid filament (a rivulet) flowing in an air-filled Hele-Shaw cell. Transverse and longitudinal deformations can propagate on this rivulet, although both are linearly attenuated in the parameter range we use. On this seemingly simple syste...
https://arxiv.org/abs/2601.23025
Academic Papers
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