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1c47c6b12ee81591ef474aa01b12a2aa4d2d8f8fe759c46f3c554d71e41d9e3c | 2026-01-23T00:00:00-05:00 | SPOT: An Annotated French Corpus and Benchmark for Detecting Critical Interventions in Online Conversations | arXiv:2511.07405v3 Announce Type: replace Abstract: We introduce SPOT (Stopping Points in Online Threads), the first annotated corpus translating the sociological concept of stopping point into a reproducible NLP task. Stopping points are ordinary critical interventions that pause or redirect online discussions through... | https://arxiv.org/abs/2511.07405 | Academic Papers | svg |
93cd1ffbd1a6d8fac2fa6c4d4e561bc70a9ed3b4531b774d4a4d4c874ec91404 | 2026-01-23T00:00:00-05:00 | One Router to Route Them All: Homogeneous Expert Routing for Heterogeneous Graph Transformers | arXiv:2511.07603v2 Announce Type: replace Abstract: A common practice in heterogeneous graph neural networks (HGNNs) is to condition parameters on node/edge types, assuming types reflect semantic roles. However, this can cause overreliance on surface-level labels and impede cross-type knowledge transfer. We explore int... | https://arxiv.org/abs/2511.07603 | Academic Papers | svg |
457f7881445578e762ecb6dd7804976ed38e033fd6a700698b813838b6fbdad7 | 2026-01-23T00:00:00-05:00 | Online Operator Design in Evolutionary Optimization for Flexible Job Shop Scheduling via Large Language Models | arXiv:2511.16485v3 Announce Type: replace Abstract: Customized static operator design has enabled widespread application of Evolutionary Algorithms (EAs), but their search effectiveness often deteriorates as evolutionary progresses. Dynamic operator configuration approaches attempt to alleviate this issue, but they typ... | https://arxiv.org/abs/2511.16485 | Academic Papers | svg |
20c66d1cc27206b38341a6201a82bb7b78c1400842b5762654590cbe60f2fb9a | 2026-01-23T00:00:00-05:00 | Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafter | arXiv:2511.16665v2 Announce Type: replace Abstract: The emergence of Large Language Models (LLMs) with strong reasoning capabilities marks a significant milestone, unlocking new frontiers in complex problem-solving. However, training these reasoning models, typically using Reinforcement Learning (RL), encounters critic... | https://arxiv.org/abs/2511.16665 | Academic Papers | svg |
5f81e48ae21c3b5f0d815f301fc2b70f7ff50caa5e936e7b97f4477a707fcff7 | 2026-01-23T00:00:00-05:00 | Boundary-Aware Adversarial Filtering for Reliable Diagnosis under Extreme Class Imbalance | arXiv:2511.17629v2 Announce Type: replace Abstract: We study classification under extreme class imbalance where recall and calibration are both critical, for example in medical diagnosis scenarios. We propose AF-SMOTE, a mathematically motivated augmentation framework that first synthesizes minority points and then fil... | https://arxiv.org/abs/2511.17629 | Academic Papers | svg |
1a3fe0510926311b2e099ac24bf9c76d1eeded944cfd946fab08d8ca9937c426 | 2026-01-23T00:00:00-05:00 | Radiation-Preserving Selective Imaging for Pediatric Hip Dysplasia: A Cross-Modal Ultrasound-Xray Policy with Limited Labels | arXiv:2511.18457v2 Announce Type: replace Abstract: We study an ultrasound-first, radiation-preserving policy for developmental dysplasia of the hip (DDH) that requests a radiograph only when needed. We (i) pretrain modality-specific encoders (ResNet-18) with SimSiam on a large unlabelled registry (37186 ultrasound; 19... | https://arxiv.org/abs/2511.18457 | Academic Papers | svg |
9885a1242b2ded57b9bae526150b68db7b9073bf493d59e7fdd4531ff118dc5e | 2026-01-23T00:00:00-05:00 | MetaDCSeg: Robust Medical Image Segmentation via Meta Dynamic Center Weighting | arXiv:2511.18894v2 Announce Type: replace Abstract: Medical image segmentation is crucial for clinical applications, but it is frequently disrupted by noisy annotations and ambiguous anatomical boundaries, which lead to instability in model training. Existing methods typically rely on global noise assumptions or confid... | https://arxiv.org/abs/2511.18894 | Academic Papers | svg |
2f1ac46f2d35fdcec3313df88d24fe29443089d3a6c65ecec4a82370f8ca11a8 | 2026-01-23T00:00:00-05:00 | Bipartiteness in Progressive Second-Price Multi-Auction Networks with Perfect Substitute | arXiv:2511.19225v2 Announce Type: replace Abstract: We consider a bipartite network of buyers and sellers, where the sellers run locally independent Progressive Second-Price (PSP) auctions, and buyers may participate in multiple auctions, forming a multi-auction market with perfect substitute. The paper develops a proj... | https://arxiv.org/abs/2511.19225 | Academic Papers | svg |
183a731d82574ba400138285f9b26f1525ef9c7b3585d33bc7bf5c8dae232240 | 2026-01-23T00:00:00-05:00 | Design and Validation of a Modular Smart Headband with Embroidered Electrodes for Comfortable EEG Monitoring | arXiv:2511.19348v3 Announce Type: replace Abstract: The wearable EEG device sector is advancing rapidly, enabling fast and reliable detection of brain activity for investigating brain function and pathology. However, many current EEG systems remain challenging for users with neurological conditions due to bulky wiring,... | https://arxiv.org/abs/2511.19348 | Academic Papers | svg |
711100bd3ca65d7391afe6090436f99ab06f32a769eb62f1a8594a14586eecd6 | 2026-01-23T00:00:00-05:00 | EfficientXpert: Efficient Domain Adaptation for Large Language Models via Propagation-Aware Pruning | arXiv:2511.19935v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly adapted into domain-specific variants for applications in law, healthcare, and finance. Their scale, however, limits deployment in resource-constrained settings, and existing compression approaches often either degrade aft... | https://arxiv.org/abs/2511.19935 | Academic Papers | svg |
e6e015dd16aefe782ab16ed771a1ef2bc3164377ba2bd967d7214caf802784fb | 2026-01-23T00:00:00-05:00 | Interpretable Air Pollution Forecasting by Physics-Guided Spatiotemporal Decoupling | arXiv:2511.20257v2 Announce Type: replace Abstract: Accurate and interpretable air pollution forecasting is crucial for public health, but most models face a trade-off between performance and interpretability. This study proposes a physics-guided, interpretable-by-design spatiotemporal learning framework. The model dec... | https://arxiv.org/abs/2511.20257 | Academic Papers | svg |
6574b1fa356459fbaa1a6db2d486d73249db166d27418b3808ff7b5d7bc58cc1 | 2026-01-23T00:00:00-05:00 | DRS-OSS: Practical Diff Risk Scoring with LLMs | arXiv:2511.21964v2 Announce Type: replace Abstract: In large-scale open-source projects, hundreds of pull requests land daily, each a potential source of regressions. Diff risk scoring (DRS) estimates how likely an individual code change is to introduce a defect. This score can help prioritize reviews and tests, gate h... | https://arxiv.org/abs/2511.21964 | Academic Papers | svg |
61a1074944d170e5371cb74fa11f6c4dcccc9d84032724745d4372d03944adf4 | 2026-01-23T00:00:00-05:00 | All for One and One for All: Program Logics for Exploiting Internal Determinism in Parallel Programs | arXiv:2511.23283v2 Announce Type: replace Abstract: Nondeterminism makes parallel programs challenging to write and reason about. To avoid these challenges, researchers have developed techniques for internally deterministic parallel programming, in which the steps of a parallel computation proceed in a deterministic wa... | https://arxiv.org/abs/2511.23283 | Academic Papers | svg |
a75a4352b25296b81fda929f1a6053e9a5a41b674d3c972170336ab345360e24 | 2026-01-23T00:00:00-05:00 | Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling | arXiv:2512.02010v3 Announce Type: replace Abstract: As large language models have grown larger, interest has grown in low-precision numerical formats such as NVFP4 as a way to improve speed and reduce memory usage. However, quantizing models to NVFP4 remains difficult as the lack of precision generally degrades model p... | https://arxiv.org/abs/2512.02010 | Academic Papers | svg |
1154c9954f2107e1bb38a87d445420c90ab51c99b73d85e17ba54d75d900d1a8 | 2026-01-23T00:00:00-05:00 | Do you precondition on the left or on the right? | arXiv:2512.05160v2 Announce Type: replace Abstract: This work is a follow-up to a poster that was presented at the DD29 conference. Participants were asked the question: ``Do you precondition on the left or on the right?''. Here we report on the results of this social experiment. We also provide context on left, right ... | https://arxiv.org/abs/2512.05160 | Academic Papers | svg |
efb5ed35cff92a2fd180a8ab3184572135edb6d2ad3cd730e3c580430a5d74c1 | 2026-01-23T00:00:00-05:00 | Mitigation of multi-path propagation artefacts in acoustic targets with adaptive cepstral filtering | arXiv:2512.11165v2 Announce Type: replace Abstract: Passive acoustic sensing is a cost-effective solution for monitoring moving targets such as vessels and aircraft, but its performance is hindered by complex propagation effects like multi-path reflections and motion-induced artefacts. Existing filtering techniques do ... | https://arxiv.org/abs/2512.11165 | Academic Papers | svg |
c53eca2f6814652c776ff85f3fb0b739d522245bf2dda86d3a8bf298fcf40a11 | 2026-01-23T00:00:00-05:00 | Words to Describe What I'm Feeling: Exploring the Potential of AI Agents for High Subjectivity Decisions in Advance Care Planning | arXiv:2512.11276v2 Announce Type: replace Abstract: Loss of decisional capacity, coupled with the increasing absence of reliable human proxies, raises urgent questions about how individuals' values can be represented in Advance Care Planning (ACP). To probe this fraught design space of high-risk, high-subjectivity deci... | https://arxiv.org/abs/2512.11276 | Academic Papers | svg |
05989b378a4e6477c5531396a704abca9ec61f26d22b176486e3ae3aa51a6a57 | 2026-01-23T00:00:00-05:00 | ProbeMDE: Uncertainty-Guided Active Proprioception for Monocular Depth Estimation in Surgical Robotics | arXiv:2512.11773v3 Announce Type: replace Abstract: Monocular depth estimation (MDE) provides a useful tool for robotic perception, but its predictions are often uncertain and inaccurate in challenging environments such as surgical scenes where textureless surfaces, specular reflections, and occlusions are common. To a... | https://arxiv.org/abs/2512.11773 | Academic Papers | svg |
0034441017756389ebf753f35af44a4f0ee0ecbe7cd5de38d6fede6a44c0d3d2 | 2026-01-23T00:00:00-05:00 | SeVeDo: A Heterogeneous Transformer Accelerator for Low-Bit Inference via Hierarchical Group Quantization and SVD-Guided Mixed Precision | arXiv:2512.12930v2 Announce Type: replace Abstract: Low-bit quantization is a promising technique for efficient transformer inference by reducing computational and memory overhead. However, aggressive bitwidth reduction remains challenging due to activation outliers, leading to accuracy degradation. Existing methods, s... | https://arxiv.org/abs/2512.12930 | Academic Papers | svg |
865819b26e056c0dc376e1458e667dc05b1d3cd058afbafa530ea9722483d625 | 2026-01-23T00:00:00-05:00 | TUN: Detecting Significant Points in Persistence Diagrams with Deep Learning | arXiv:2512.14274v2 Announce Type: replace Abstract: Persistence diagrams (PDs) provide a powerful tool for understanding the topology of the underlying shape of a point cloud. However, identifying which points in PDs encode genuine signals remains challenging. This challenge directly hinders the practical adoption of t... | https://arxiv.org/abs/2512.14274 | Academic Papers | svg |
e12f681746100a3b236fdca85a52efd847a703d7e2d9198380488bbcc973af94 | 2026-01-23T00:00:00-05:00 | UCCL-EP: Portable Expert-Parallel Communication | arXiv:2512.19849v2 Announce Type: replace Abstract: Mixture-of-Experts (MoE) workloads rely on expert parallelism (EP) to achieve high GPU efficiency. State-of-the-art EP communication systems such as DeepEP demonstrate strong performance but exhibit poor portability across heterogeneous GPU and NIC platforms. The poor... | https://arxiv.org/abs/2512.19849 | Academic Papers | svg |
2780d1649eee955cfabfbe49b3be6f590b59f28bc49c8364ca2731b5ef82d16f | 2026-01-23T00:00:00-05:00 | Anisotropic Green Coordinates | arXiv:2512.20386v2 Announce Type: replace Abstract: We live in a world filled with anisotropy, a ubiquitous characteristic of both natural and engineered systems. In this study, we concentrate on space deformation and introduce \textit{anisotropic Green coordinates}, which provide versatile effects for cage-based and v... | https://arxiv.org/abs/2512.20386 | Academic Papers | svg |
95c761f842a6f2113a04cc35322dfe2e7840b130ab0943cf0e276ec93097150c | 2026-01-23T00:00:00-05:00 | Real-World Adversarial Attacks on RF-Based Drone Detectors | arXiv:2512.20712v2 Announce Type: replace Abstract: Radio frequency (RF) based systems are increasingly used to detect drones by analyzing their RF signal patterns, converting them into spectrogram images which are processed by object detection models. Existing RF attacks against image based models alter digital featur... | https://arxiv.org/abs/2512.20712 | Academic Papers | svg |
f39674423e5bff874b9e243b2662345cbc89e1f11f026e6c63810df90a90de4d | 2026-01-23T00:00:00-05:00 | Monadic Context Engineering | arXiv:2512.22431v5 Announce Type: replace Abstract: The proliferation of Large Language Models (LLMs) has catalyzed a shift towards autonomous agents capable of complex reasoning and tool use. However, current agent architectures are frequently constructed using imperative, ad hoc patterns. This results in brittle syst... | https://arxiv.org/abs/2512.22431 | Academic Papers | svg |
6e37214a00409184cdebb5d3057989b514ba33d1e2b1702b6df81fa661b0eff8 | 2026-01-23T00:00:00-05:00 | A Domain Decomposition-based Solver for Acoustic Wave propagation in Two-Dimensional Random Media | arXiv:2512.23027v2 Announce Type: replace Abstract: An acoustic wave propagation problem with a log normal random field approximation for wave speed is solved using a sampling-free intrusive stochastic Galerkin approach. The stochastic partial differential equation with the inputs and outputs expanded using polynomial ... | https://arxiv.org/abs/2512.23027 | Academic Papers | svg |
5380f7b4afe24272901805661a417bea70a27a781587b07051eb22c7e27882cf | 2026-01-23T00:00:00-05:00 | RadixGraph: A Fast, Space-Optimized Data Structure for Dynamic Graph Storage (Extended Version) | arXiv:2601.01444v2 Announce Type: replace Abstract: Dynamic graphs model many real-world applications, and as their sizes grow, efficiently storing and updating them becomes critical. We present RadixGraph, a fast and memory-efficient data structure for dynamic graph storage. RadixGraph features a carefully designed ra... | https://arxiv.org/abs/2601.01444 | Academic Papers | svg |
8040644b750d5f628cbb23ada1114f5e8e72e2e4d427bec77900c74b21e40935 | 2026-01-23T00:00:00-05:00 | Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization | arXiv:2601.01747v4 Announce Type: replace Abstract: Recent advancements in Large Vision-Language Models (LVLMs) have shown groundbreaking capabilities across diverse multimodal tasks. However, these models remain vulnerable to adversarial jailbreak attacks, where adversaries craft subtle perturbations to bypass safety ... | https://arxiv.org/abs/2601.01747 | Academic Papers | svg |
41acb59744be166252ab625dbd199bebd15c817b9cda3331c246a56d35b68ba9 | 2026-01-23T00:00:00-05:00 | MMP-A*: Multimodal Perception Enhanced Incremental Heuristic Search on Path Planning | arXiv:2601.01910v2 Announce Type: replace Abstract: Autonomous path planning requires a synergy between global reasoning and geometric precision, especially in complex or cluttered environments. While classical A* is valued for its optimality, it incurs prohibitive computational and memory costs in large-scale scenario... | https://arxiv.org/abs/2601.01910 | Academic Papers | svg |
e157fe6b1eeb17b63b518906d15060842151dc164c0ef2addaac76b413bfb1cc | 2026-01-23T00:00:00-05:00 | Lightweight and perceptually-guided voice conversion for electro-laryngeal speech | arXiv:2601.03892v2 Announce Type: replace Abstract: Electro-laryngeal (EL) speech is characterized by constant pitch, limited prosody, and mechanical noise, reducing naturalness and intelligibility. We propose a lightweight adaptation of the state-of-the-art StreamVC framework to this setting by removing pitch and ener... | https://arxiv.org/abs/2601.03892 | Academic Papers | svg |
4d74279abcc80c754549b4b077147fce4acf161877ab33d4d82be41446dc9f6f | 2026-01-23T00:00:00-05:00 | FLEx: Language Modeling with Few-shot Language Explanations | arXiv:2601.04157v2 Announce Type: replace Abstract: Language models have become effective at a wide range of tasks, from math problem solving to open-domain question answering. However, they still make mistakes, and these mistakes are often repeated across related queries. Natural language explanations can help correct... | https://arxiv.org/abs/2601.04157 | Academic Papers | svg |
f3e0bd1433598a97aaa33dfa56db64beb44ec1d28af4f89c4d481f35515a1189 | 2026-01-23T00:00:00-05:00 | The Adverse Effects of Omitting Records in Differential Privacy: How Sampling and Suppression Degrade the Privacy--Utility Tradeoff (Long Version) | arXiv:2601.05180v2 Announce Type: replace Abstract: Sampling is renowned for its privacy amplification in differential privacy (DP), and is often assumed to improve the utility of a DP mechanism by allowing a noise reduction. In this paper, we further show that this last assumption is flawed: When measuring utility at ... | https://arxiv.org/abs/2601.05180 | Academic Papers | svg |
d1550e18fc5bba98c13d194b0fafa99b61d45a4ae982a1dac9a22ad5e41c2a24 | 2026-01-23T00:00:00-05:00 | Do Sparse Autoencoders Identify Reasoning Features in Language Models? | arXiv:2601.05679v4 Announce Type: replace Abstract: We investigate whether sparse autoencoders identify genuine reasoning features in large language models. We first present a stylized theoretical analysis showing that sparsity-regularized decoding favors stable low-dimensional correlates over high-dimensional within-r... | https://arxiv.org/abs/2601.05679 | Academic Papers | svg |
bc7b871e1c0471edfeda965eb99be72fb3b765b4e9a39f26b77420c538a39e43 | 2026-01-23T00:00:00-05:00 | Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning | arXiv:2601.07903v3 Announce Type: replace Abstract: The World Wide Web needs reliable predictive capabilities to respond to changes in user behavior and usage patterns. Time series forecasting (TSF) is a key means to achieve this goal. In recent years, the large language models (LLMs) for TSF (LLM4TSF) have achieved go... | https://arxiv.org/abs/2601.07903 | Academic Papers | svg |
05b35dd81a588c3ed26907023d6ef0015c5c94c052ea0963f21673942afec5b7 | 2026-01-23T00:00:00-05:00 | Attention Projection Mixing with Exogenous Anchors | arXiv:2601.08131v2 Announce Type: replace Abstract: Cross-layer reuse of early attention projections can improve optimization and data efficiency, but it creates a structural conflict: the first layer must simultaneously act as a stable, reusable anchor for all deeper layers and as an effective computational block. We ... | https://arxiv.org/abs/2601.08131 | Academic Papers | svg |
8a9d8ec82e48548c466eb0bb6682c110aeed3d0f0ad0e64fe77c7aac7467480a | 2026-01-23T00:00:00-05:00 | Your Group-Relative Advantage Is Biased | arXiv:2601.08521v2 Announce Type: replace Abstract: Reinforcement Learning from Verifier Rewards (RLVR) has emerged as a widely used approach for post-training large language models on reasoning tasks, with group-based methods such as GRPO and its variants gaining broad adoption. These methods rely on group-relative ad... | https://arxiv.org/abs/2601.08521 | Academic Papers | svg |
080bea5ad88cad4993d2e46eb3cdc7938329d3b3ad756378877d025ebe2d676d | 2026-01-23T00:00:00-05:00 | Contrastive and Multi-Task Learning on Noisy Brain Signals with Nonlinear Dynamical Signatures | arXiv:2601.08549v2 Announce Type: replace Abstract: We introduce a two-stage multitask learning framework for analyzing Electroencephalography (EEG) signals that integrates denoising, dynamical modeling, and representation learning. In the first stage, a denoising autoencoder is trained to suppress artifacts and stabil... | https://arxiv.org/abs/2601.08549 | Academic Papers | svg |
b0c54d85b88de48ce4063857e9b99854009977c898623460fd55fdc8fcd7ee84 | 2026-01-23T00:00:00-05:00 | Spectral Generative Flow Models: A Physics-Inspired Replacement for Vectorized Large Language Models | arXiv:2601.08893v2 Announce Type: replace Abstract: We introduce Spectral Generative Flow Models (SGFMs), a physics-inspired alternative to transformer-based large language models. Instead of representing text or video as sequences of discrete tokens processed by attention, SGFMs treat generation as the evolution of a ... | https://arxiv.org/abs/2601.08893 | Academic Papers | svg |
3e3edaf07d82959d78277c8a797c6cd059243b2149e409a716240e9cd8283231 | 2026-01-23T00:00:00-05:00 | LLMs Got Rhythm? Hybrid Phonological Filtering for Greek Poetry Rhyme Detection and Generation | arXiv:2601.09631v3 Announce Type: replace Abstract: Large Language Models (LLMs), despite their remarkable capabilities across NLP tasks, struggle with phonologically-grounded phenomena like rhyme detection and generation. This is even more evident in lower-resource languages such as Modern Greek. In this paper, we pre... | https://arxiv.org/abs/2601.09631 | Academic Papers | svg |
7e088765194075b1971c191b5854b853647a04ffe6b118b1037198b08e40022a | 2026-01-23T00:00:00-05:00 | From Interpretability to Performance: Optimizing Retrieval Heads for Long-Context Language Models | arXiv:2601.11020v2 Announce Type: replace Abstract: Advances in mechanistic interpretability have identified special attention heads, known as retrieval heads, that are responsible for retrieving information from the context. However, the role of these retrieval heads in improving model performance remains unexplored. ... | https://arxiv.org/abs/2601.11020 | Academic Papers | svg |
7018f1768a40d704f43d88e14523378056d6aa3ef3a531ff88ba26d770519782 | 2026-01-23T00:00:00-05:00 | Vision-as-Inverse-Graphics Agent via Interleaved Multimodal Reasoning | arXiv:2601.11109v2 Announce Type: replace Abstract: Vision-as-inverse-graphics, the concept of reconstructing an image as an editable graphics program is a long-standing goal of computer vision. Yet even strong VLMs aren't able to achieve this in one-shot as they lack fine-grained spatial and physical grounding capabil... | https://arxiv.org/abs/2601.11109 | Academic Papers | svg |
5913abd8f64cf7d5657e1a27a4d9c605d407a216348d12c386697e59e18a9c4f | 2026-01-23T00:00:00-05:00 | Heterogeneous Uncertainty-Guided Composed Image Retrieval with Fine-Grained Probabilistic Learning | arXiv:2601.11393v2 Announce Type: replace Abstract: Composed Image Retrieval (CIR) enables image search by combining a reference image with modification text. Intrinsic noise in CIR triplets incurs intrinsic uncertainty and threatens the model's robustness. Probabilistic learning approaches have shown promise in addres... | https://arxiv.org/abs/2601.11393 | Academic Papers | svg |
abdc6530a5d4efe835aab6d328da68ae06fd7c67a1f8f0ee44ead5372ff3b57d | 2026-01-23T00:00:00-05:00 | SUG-Occ: An Explicit Semantics and Uncertainty Guided Sparse Learning Framework for Real-Time 3D Occupancy Prediction | arXiv:2601.11396v3 Announce Type: replace Abstract: As autonomous driving moves toward full scene understanding, 3D semantic occupancy prediction has emerged as a crucial perception task, offering voxel-level semantics beyond traditional detection and segmentation paradigms. However, such a refined representation for s... | https://arxiv.org/abs/2601.11396 | Academic Papers | svg |
cf28633712358cda72ba06fc6d921eb957832ad2bca2249b12b29e8b027d5e92 | 2026-01-23T00:00:00-05:00 | Frontier AI Auditing: Toward Rigorous Third-Party Assessment of Safety and Security Practices at Leading AI Companies | arXiv:2601.11699v2 Announce Type: replace Abstract: Frontier AI is becoming critical societal infrastructure, but outsiders lack reliable ways to judge whether leading developers' safety and security claims are accurate and whether their practices meet relevant standards. Compared to other social and technological syst... | https://arxiv.org/abs/2601.11699 | Academic Papers | svg |
26bbe7cdf99af7f9cdc364cc1e0fdefab9ac5d69291c134709741af61350fb73 | 2026-01-23T00:00:00-05:00 | Beyond Tokens: Concept-Level Training Objectives for LLMs | arXiv:2601.11791v2 Announce Type: replace Abstract: The next-token prediction (NTP) objective has been foundational in the development of modern large language models (LLMs), driving advances in fluency and generalization. However, NTP operates at the \textit{token} level, treating deviations from a single reference co... | https://arxiv.org/abs/2601.11791 | Academic Papers | svg |
d0e501343518f217e03482eb0fcee6df7ef54ca7d9395b0679396fe1887239b2 | 2026-01-23T00:00:00-05:00 | Codebook-Injected Dialogue Segmentation for Multi-Utterance Constructs Annotation: LLM-Assisted and Gold-Label-Free Evaluation | arXiv:2601.12061v2 Announce Type: replace Abstract: Dialogue Act (DA) annotation typically treats communicative or pedagogical intent as localized to individual utterances or turns. This leads annotators to agree on the underlying action while disagreeing on segment boundaries, reducing apparent reliability. We propose... | https://arxiv.org/abs/2601.12061 | Academic Papers | svg |
934975ec82044f6b2a78d444a14ece7964ef5dfe29fc981749f01d6af3c4ca98 | 2026-01-23T00:00:00-05:00 | GutenOCR: A Grounded Vision-Language Front-End for Documents | arXiv:2601.14490v2 Announce Type: replace Abstract: GutenOCR is a family of grounded OCR front-ends obtained by fine-tuning Qwen2.5-VL-3B and Qwen2.5-VL-7B. The resulting single-checkpoint vision-language models expose reading, detection, and grounding through a unified, prompt-based interface. Trained on business docu... | https://arxiv.org/abs/2601.14490 | Academic Papers | svg |
eebb493d88ceefcb57824347faedb951b66280a5309af6c3ad767a67e966ae23 | 2026-01-23T00:00:00-05:00 | Structured Image-based Coding for Efficient Gaussian Splatting Compression | arXiv:2601.14510v2 Announce Type: replace Abstract: Gaussian Splatting (GS) has recently emerged as a state-of-the-art representation for radiance fields, combining real-time rendering with high visual fidelity. However, GS models require storing millions of parameters, leading to large file sizes that impair their use... | https://arxiv.org/abs/2601.14510 | Academic Papers | svg |
283c34f5f802fb55dfa1f76df23a5b07e6a7d7280b7503014e0008458ae013ba | 2026-01-23T00:00:00-05:00 | Report for NSF Workshop on AI for Electronic Design Automation | arXiv:2601.14541v2 Announce Type: replace Abstract: This report distills the discussions and recommendations from the NSF Workshop on AI for Electronic Design Automation (EDA), held on December 10, 2024 in Vancouver alongside NeurIPS 2024. Bringing together experts across machine learning and EDA, the workshop examined... | https://arxiv.org/abs/2601.14541 | Academic Papers | svg |
ec828e165d8cd177769d3401c7b694fedd0a87f92651ce78d7d6c7cdbbb38ea9 | 2026-01-23T00:00:00-05:00 | Scribble-Supervised Medical Image Segmentation with Dynamic Teacher Switching and Hierarchical Consistency | arXiv:2601.14563v2 Announce Type: replace Abstract: Scribble-supervised methods have emerged to mitigate the prohibitive annotation burden in medical image segmentation. However, the inherent sparsity of these annotations introduces significant ambiguity, which results in noisy pseudo-label propagation and hinders the ... | https://arxiv.org/abs/2601.14563 | Academic Papers | svg |
25308161f28c4d64f8cc87944edb171f898ea4c295ba52ac580f5ea04b4b2410 | 2026-01-23T00:00:00-05:00 | Automatically Tightening Access Control Policies with Restricter | arXiv:2601.14582v2 Announce Type: replace Abstract: Robust access control is a cornerstone of secure software, systems, and networks. An access control mechanism is as effective as the policy it enforces. However, authoring effective policies that satisfy desired properties such as the principle of least privilege is a... | https://arxiv.org/abs/2601.14582 | Academic Papers | svg |
78af12292445ce622c08b0720effb8d69e3ae862763dc156d6c3ffe9a9acdc7c | 2026-01-23T00:00:00-05:00 | An Ion-Intercalation Memristor for Enabling Full Parallel Writing in Crossbar Networks | arXiv:2601.14613v2 Announce Type: replace Abstract: Crossbar architectures have long been seen as a promising foundation for in-memory computing, using memristor arrays for high-density, energy-efficient analog computation. However, this conventional architecture suffers from a fundamental limitation: the inability to ... | https://arxiv.org/abs/2601.14613 | Academic Papers | svg |
2a234917908e0c5ca9e6d9e71b651ed609c308673dc9fd791253f839d530ddee | 2026-01-23T00:00:00-05:00 | Gaming the Judge: Unfaithful Chain-of-Thought Can Undermine Agent Evaluation | arXiv:2601.14691v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly used as judges to evaluate agent performance, particularly in non-verifiable settings where judgments rely on agent trajectories including chain-of-thought (CoT) reasoning. This paradigm implicitly assumes that the agent's... | https://arxiv.org/abs/2601.14691 | Academic Papers | svg |
1fb723767c3a32e5c66f62958c29db663b9c301fa8e77bef4851c5c4e84728a6 | 2026-01-23T00:00:00-05:00 | Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent Reasoning | arXiv:2601.14750v2 Announce Type: replace Abstract: Chain-of-Thought (CoT) prompting has achieved remarkable success in unlocking the reasoning capabilities of Large Language Models (LLMs). Although CoT prompting enhances reasoning, its verbosity imposes substantial computational overhead. Recent works often focus excl... | https://arxiv.org/abs/2601.14750 | Academic Papers | svg |
54a7e74ab3c50dc7cdc481df571eefccfa94351d728029713907ec0538c6cd68 | 2026-01-23T00:00:00-05:00 | Mechanism Shift During Post-training from Autoregressive to Masked Diffusion Language Models | arXiv:2601.14758v2 Announce Type: replace Abstract: Post-training pretrained Autoregressive models (ARMs) into Masked Diffusion models (MDMs) has emerged as a cost-effective strategy to overcome the limitations of sequential generation. However, the internal algorithmic transformations induced by this paradigm shift re... | https://arxiv.org/abs/2601.14758 | Academic Papers | svg |
12e8123937bdf2c9fec14df58c8512d7aa53cbd79be89f63091b1a1c3674eabb | 2026-01-23T00:00:00-05:00 | Multi-Task Transformer for Explainable Speech Deepfake Detection via Formant Modeling | arXiv:2601.14850v2 Announce Type: replace Abstract: In this work, we introduce a multi-task transformer for speech deepfake detection, capable of predicting formant trajectories and voicing patterns over time, ultimately classifying speech as real or fake, and highlighting whether its decisions rely more on voiced or u... | https://arxiv.org/abs/2601.14850 | Academic Papers | svg |
88ef91b79c62af583df2776fa41582f12821c58008e9ca88064a9b268ef6c4b5 | 2026-01-23T00:00:00-05:00 | Adaptive Exponential Integration for Stable Gaussian Mixture Black-Box Variational Inference | arXiv:2601.14855v2 Announce Type: replace Abstract: Black-box variational inference (BBVI) with Gaussian mixture families offers a flexible approach for approximating complex posterior distributions without requiring gradients of the target density. However, standard numerical optimization methods often suffer from ins... | https://arxiv.org/abs/2601.14855 | Academic Papers | svg |
6bd138bfa0690dd34a823fcdcaf51713873544e60b9f935a81fc19141b0696bd | 2026-01-23T00:00:00-05:00 | The GDN-CC Dataset: Automatic Corpus Clarification for AI-enhanced Democratic Citizen Consultations | arXiv:2601.14944v2 Announce Type: replace Abstract: LLMs are ubiquitous in modern NLP, and while their applicability extends to texts produced for democratic activities such as online deliberations or large-scale citizen consultations, ethical questions have been raised for their usage as analysis tools. We continue th... | https://arxiv.org/abs/2601.14944 | Academic Papers | svg |
664d8e77f5882a3f5d66c3c6e091a38fb24c5ca5527db1d25e18a6e59eed815c | 2026-01-23T00:00:00-05:00 | LogicScore: Fine-grained Logic Evaluation of Conciseness, Completeness, and Determinateness in Attributed Question Answering | arXiv:2601.15050v2 Announce Type: replace Abstract: Current evaluation methods for Attributed Question Answering (AQA) suffer from \textit{attribution myopia}: they emphasize verification of isolated statements and their attributions but overlook the global logical integrity of long-form answers. Consequently, Large La... | https://arxiv.org/abs/2601.15050 | Academic Papers | svg |
d9cf267eca498e19e0a2ca8c9c07ee72b401e259b2a0f9f7de55a2b0a15168a8 | 2026-01-23T00:00:00-05:00 | DeLog: An Efficient Log Compression Framework with Pattern Signature Synthesis | arXiv:2601.15084v2 Announce Type: replace Abstract: Parser-based log compression, which separates static templates from dynamic variables, is a promising approach to exploit the unique structure of log data. However, its performance on complex production logs is often unsatisfactory. This performance gap coincides with... | https://arxiv.org/abs/2601.15084 | Academic Papers | svg |
9484f557e9c7862efb5af8e8a0dcd451ec06405279749fad1fbf8eabfeb2c974 | 2026-01-23T00:00:00-05:00 | WavLink: Compact Audio-Text Embeddings with a Global Whisper Token | arXiv:2601.15118v2 Announce Type: replace Abstract: Whisper has become the de-facto encoder for extracting general-purpose audio features in large audio-language models, where a 30-second clip is typically represented by 1500 frame features projected into an LLM. In contrast, audio-text embedding models like CLAP-based... | https://arxiv.org/abs/2601.15118 | Academic Papers | svg |
0d8385fac7b5ed389cab8c28d05cf80b0fb3b275ec3247b8fb039f38508946d1 | 2026-01-23T00:00:00-05:00 | Emerging from Ground: Addressing Intent Deviation in Tool-Using Agents via Deriving Real Calls into Virtual Trajectories | arXiv:2601.15120v2 Announce Type: replace Abstract: LLMs have advanced tool-using agents for real-world applications, yet they often lead to unexpected behaviors or results. Beyond obvious failures, the subtle issue of "intent deviation" severely hinders reliable evaluation and performance improvement. Existing post-tr... | https://arxiv.org/abs/2601.15120 | Academic Papers | svg |
465524c65bdb1801e246b6238f172f4bd44ee6512b46452f03ed63f17fef711b | 2026-01-23T00:00:00-05:00 | BayesianVLA: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries | arXiv:2601.15197v2 Announce Type: replace Abstract: Vision-Language-Action (VLA) models have shown promise in robot manipulation but often struggle to generalize to new instructions or complex multi-task scenarios. We identify a critical pathology in current training paradigms where goal-driven data collection creates ... | https://arxiv.org/abs/2601.15197 | Academic Papers | svg |
aafe279768a7cd099050b29e6fd67803e7efdba8811084b5f4ed5f9fbec84ff0 | 2026-01-23T00:00:00-05:00 | Deaf and Hard of Hearing Access to Intelligent Personal Assistants: Comparison of Voice-Based Options with an LLM-Powered Touch Interface | arXiv:2601.15209v2 Announce Type: replace Abstract: We investigate intelligent personal assistants (IPAs) accessibility for deaf and hard of hearing (DHH) people who can use their voice in everyday communication. The inability of IPAs to understand diverse accents including deaf speech renders them largely inaccessible... | https://arxiv.org/abs/2601.15209 | Academic Papers | svg |
33368b7b22b0ff857c27a7f501f12cf4c96fc563246c2fa7021d29e638a0f39b | 2026-01-23T00:00:00-05:00 | Recommending Best Paper Awards for ML/AI Conferences via the Isotonic Mechanism | arXiv:2601.15249v2 Announce Type: replace Abstract: Machine learning and artificial intelligence conferences such as NeurIPS and ICML now regularly receive tens of thousands of submissions, posing significant challenges to maintaining the quality and consistency of the peer review process. This challenge is particularl... | https://arxiv.org/abs/2601.15249 | Academic Papers | svg |
c95210438db727f7aff0c712dc16e5956eb1de73bb74c953df96077cf1125e22 | 2026-01-23T00:00:00-05:00 | Control Occupation Kernel Regression for Nonlinear Control-Affine Systems | arXiv:2106.00103v2 Announce Type: replace-cross Abstract: This manuscript presents an algorithm for obtaining an approximation of a nonlinear high order control affine dynamical system. Controlled trajectories of the system are leveraged as the central unit of information via embedding them in vector-valued reproducing... | https://arxiv.org/abs/2106.00103 | Academic Papers | svg |
5522053e6960ed47558c53b29f2e952bcbf732e91a263b8e9cf3fb763a1238f6 | 2026-01-23T00:00:00-05:00 | From Text to Image: Exploring GPT-4Vision's Potential in Advanced Radiological Analysis across Subspecialties | arXiv:2311.14777v2 Announce Type: replace-cross Abstract: The study evaluates and compares GPT-4 and GPT-4Vision for radiological tasks, suggesting GPT-4Vision may recognize radiological features from images, thereby enhancing its diagnostic potential over text-based descriptions. | https://arxiv.org/abs/2311.14777 | Academic Papers | svg |
180c5ae5999601d463e712567d6b75c035ab29721d725816055e633e258eb853 | 2026-01-23T00:00:00-05:00 | Totally symmetric Grassmannian codes | arXiv:2406.19542v2 Announce Type: replace-cross Abstract: We introduce a general technique to construct tight fusion frames with prescribed symmetries. Applying this technique with a prescription for "all the symmetries", we construct a new family of equi-isoclinic tight fusion frames (EITFFs), which consequently form ... | https://arxiv.org/abs/2406.19542 | Academic Papers | svg |
362b7e1f4b2a2b01b74671e3a067718f15dd9c96d9ea69d76615644b773fba51 | 2026-01-23T00:00:00-05:00 | Integer programs with nearly totally unimodular matrices: the cographic case | arXiv:2407.09477v2 Announce Type: replace-cross Abstract: It is a notorious open question whether integer programs (IPs), with an integer coefficient matrix $M$ whose subdeterminants are all bounded by a constant $\Delta$ in absolute value, can be solved in polynomial time. We answer this question in the affirmative if... | https://arxiv.org/abs/2407.09477 | Academic Papers | svg |
136d9ab3a9cb6494390cec35039431aac23acae61297caea448093ef1212b3f8 | 2026-01-23T00:00:00-05:00 | The Software Complexity of Nations | arXiv:2407.13880v2 Announce Type: replace-cross Abstract: Despite the growing importance of the digital sector, research on economic complexity and its implications continues to rely mostly on administrative records, e.g. data on exports, patents, and employment, that have blind spots when it comes to the digital econo... | https://arxiv.org/abs/2407.13880 | Academic Papers | svg |
12f3d203cb5a009ad0fca6bac1c07aa5c09d5edeba86589124c1b45786c6ef84 | 2026-01-23T00:00:00-05:00 | Beyond Fixed Horizons: A Theoretical Framework for Adaptive Denoising Diffusions | arXiv:2501.19373v2 Announce Type: replace-cross Abstract: We introduce a new class of generative diffusion models that, unlike conventional denoising diffusion models, achieve a time-homogeneous structure for both the noising and denoising processes, allowing the number of steps to adaptively adjust based on the noise ... | https://arxiv.org/abs/2501.19373 | Academic Papers | svg |
5bff0af865fb1eef68c80ad983bfefd9759feabbdef2e78bc313dce5ba39c86e | 2026-01-23T00:00:00-05:00 | Myrvold's Results on Orthogonal Triples of $10 \times 10$ Latin Squares: A SAT Investigation | arXiv:2503.10504v2 Announce Type: replace-cross Abstract: Ever since E. T. Parker constructed an orthogonal pair of $10\times10$ Latin squares in 1959, an orthogonal triple of $10\times10$ Latin squares has been one of the most sought-after combinatorial designs. Despite extensive work, the existence of such an orthogo... | https://arxiv.org/abs/2503.10504 | Academic Papers | svg |
f823bfff78cc10c8c86dfe68cbb87d8eae4a8e668f87b6e0c2caff6fb5dd634c | 2026-01-23T00:00:00-05:00 | Formalising the Bruhat-Tits Tree | arXiv:2505.12933v2 Announce Type: replace-cross Abstract: In this article we describe the formalisation of the Bruhat-Tits tree - an important tool in modern number theory - in the Lean Theorem Prover. Motivated by the goal of connecting to ongoing research, we apply our formalisation to verify a result about harmonic ... | https://arxiv.org/abs/2505.12933 | Academic Papers | svg |
e4ca201baf53054ccfb818f81b92edb4ac9ab623202f121009038667bf7b025f | 2026-01-23T00:00:00-05:00 | Numerical Optimization Strategies for the Variational Hamiltonian Ansatz in Noisy Quantum Environments | arXiv:2505.22398v4 Announce Type: replace-cross Abstract: The prevalence of variational methods in near-term quantum computing makes optimizer choice critical, yet selection is frequently intuition-based. We therefore present a systematic benchmark of eight classical optimization algorithms for variational quantum chem... | https://arxiv.org/abs/2505.22398 | Academic Papers | svg |
b6ec9f4fda7564fce1371ee497c26940042170419354252b59395befbed60bbd | 2026-01-23T00:00:00-05:00 | Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning | arXiv:2506.03088v2 Announce Type: replace-cross Abstract: The mapping from sound to neural activity that underlies hearing is highly non-linear. The first few stages of this mapping in the cochlea have been modelled successfully, with biophysical models built by hand and, more recently, with DNN models trained on datas... | https://arxiv.org/abs/2506.03088 | Academic Papers | svg |
85c87bf05f5fd8a9a127e8e5f617cf786648fa0307c2fb12204327a56bd35d78 | 2026-01-23T00:00:00-05:00 | Thinning to improve two-sample discrepancy | arXiv:2506.20932v2 Announce Type: replace-cross Abstract: The discrepancy between two independent samples \(X_1,\dots,X_n\) and \(Y_1,\dots,Y_n\) drawn from the same distribution on $\mathbb{R}^d$ typically has order \(O(\sqrt{n})\) even in one dimension. We give a simple online algorithm that reduces the discrepancy t... | https://arxiv.org/abs/2506.20932 | Academic Papers | svg |
dfb31af41db6197d6f1d33bf38cc98e99589c6a8e6699418a986e389129e07a3 | 2026-01-23T00:00:00-05:00 | Distance-Domain Degrees of Freedom in Near-Field Region | arXiv:2507.01227v3 Announce Type: replace-cross Abstract: Extremely large aperture arrays operating in the near-field regime unlock additional spatial resources, which can be exploited to simultaneously serve multiple users even when they share the same angular direction. This work investigates the distance-domain degr... | https://arxiv.org/abs/2507.01227 | Academic Papers | svg |
15393c2830a86f1a40b8f29f2fab0b2440b13fd8b44c6e794786520bd7306392 | 2026-01-23T00:00:00-05:00 | Dynamical stability for dense patterns in discrete attractor neural networks | arXiv:2507.10383v4 Announce Type: replace-cross Abstract: Neural networks storing multiple discrete attractors are canonical models of biological memory. Previously, the dynamical stability of such networks could only be guaranteed under highly restrictive conditions. Here, we derive a theory of the local stability of ... | https://arxiv.org/abs/2507.10383 | Academic Papers | svg |
c362df7f024bd36e334382cd25dab01e3d6e49314ff287cc1d4edfac8c5287cd | 2026-01-23T00:00:00-05:00 | Likelihood Matching for Diffusion Models | arXiv:2508.03636v2 Announce Type: replace-cross Abstract: We propose a Likelihood Matching approach for training diffusion models by first establishing an equivalence between the likelihood of the target data distribution and a likelihood along the sample path of the reverse diffusion. To efficiently compute the revers... | https://arxiv.org/abs/2508.03636 | Academic Papers | svg |
3186ca3a0bd31174f09bc9fa028e2f1400d3952b6ea7538762b71b86c8b31c44 | 2026-01-23T00:00:00-05:00 | Implementing Optimal Taxation: A Constrained Optimization Framework for Tax Reform | arXiv:2508.03708v3 Announce Type: replace-cross Abstract: While optimal taxation theory provides clear prescriptions for tax design, translating these insights into actual tax codes remains difficult. Existing work largely offers theoretical characterizations of optimal systems, while practical implementation methods a... | https://arxiv.org/abs/2508.03708 | Academic Papers | svg |
2af447fbe947a5a35970ca0e4aca95591ea1ccfd0ddfe30df79224efc64cb4f5 | 2026-01-23T00:00:00-05:00 | Can LLMs Identify Tax Abuse? | arXiv:2508.20097v2 Announce Type: replace-cross Abstract: We investigate whether large language models can discover and analyze U.S. tax-minimization strategies. This real-world domain challenges even seasoned human experts, and progress can reduce tax revenue lost from well-advised, wealthy taxpayers. We evaluate the ... | https://arxiv.org/abs/2508.20097 | Academic Papers | svg |
0c73f77e4a07cf6699fa5f25ac774a52c2d2767e7493ec423851e2006ca6a23a | 2026-01-23T00:00:00-05:00 | Attentive AV-FusionNet: Audio-Visual Quality Prediction with Hybrid Attention | arXiv:2509.16994v2 Announce Type: replace-cross Abstract: We introduce a novel deep learning-based audio-visual quality (AVQ) prediction model that leverages internal features from state-of-the-art unimodal predictors. Unlike prior approaches that rely on simple fusion strategies, our model employs a hybrid representat... | https://arxiv.org/abs/2509.16994 | Academic Papers | svg |
692948b691995d864ea4788a7da3b31f40d075fb184945414aaf2509a213944c | 2026-01-23T00:00:00-05:00 | An Efficient Quality Metric for Video Frame Interpolation Based on Motion-Field Divergence | arXiv:2510.01361v2 Announce Type: replace-cross Abstract: Video frame interpolation is a fundamental tool for temporal video enhancement, but existing quality metrics struggle to evaluate the perceptual impact of interpolation artefacts effectively. Metrics like PSNR, SSIM and LPIPS ignore temporal coherence. State-of-... | https://arxiv.org/abs/2510.01361 | Academic Papers | svg |
ffec9c216ed84e811e057bda532642ada6f85a8eff029552397ea92ee05468a7 | 2026-01-23T00:00:00-05:00 | AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Crystalline Materials | arXiv:2510.04704v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) excel at textual reasoning and are beginning to develop spatial understanding, prompting the question of whether these abilities can be combined for complex, domain-specific tasks. This question is essential in fields like materials ... | https://arxiv.org/abs/2510.04704 | Academic Papers | svg |
7688e998fa57e9a60243c5621f2caca631e3a15d000d490cc567276216095a09 | 2026-01-23T00:00:00-05:00 | Quantum matrix arithmetics with Hamiltonian evolution | arXiv:2510.06316v2 Announce Type: replace-cross Abstract: The efficient implementation of matrix arithmetic operations underpins the speedups of many quantum algorithms. We develop a suite of methods to perform matrix arithmetics -- with the result encoded in the off-diagonal blocks of a Hamiltonian -- using Hamiltonia... | https://arxiv.org/abs/2510.06316 | Academic Papers | svg |
9b4d629740b96f08ad39df496317e65ba20a09860d75060e75245f6b6240f778 | 2026-01-23T00:00:00-05:00 | Quantization-Based Score Calibration for Few-Shot Keyword Spotting with Dynamic Time Warping in Noisy Environments | arXiv:2510.15432v2 Announce Type: replace-cross Abstract: Detecting occurrences of keywords with keyword spotting (KWS) systems requires thresholding continuous detection scores. Selecting appropriate thresholds is a non-trivial task, typically relying on optimizing performance on a validation dataset. However, such gr... | https://arxiv.org/abs/2510.15432 | Academic Papers | svg |
26e1e059aaa0a38eb701e5659a08f7f77d4a02fa56a2cbcab916c30457e935e7 | 2026-01-23T00:00:00-05:00 | The Sleeping Beauty Problem: Sleeping Kelly is a Thirder | arXiv:2510.15911v2 Announce Type: replace-cross Abstract: The Sleeping Beauty problem is a problem of imperfect recall that has received considerable attention. One approach to solving the Sleeping Beauty problem is to allow Sleeping Beauty to make decisions based on her beliefs, and then characterize what it takes for... | https://arxiv.org/abs/2510.15911 | Academic Papers | svg |
871518f0555c12f734bbb9c7e5616238ad3c44b63d689c06d4852c8ac0f4db5f | 2026-01-23T00:00:00-05:00 | Comparing the latent features of universal machine-learning interatomic potentials | arXiv:2512.05717v2 Announce Type: replace-cross Abstract: The past few years have seen the development of ``universal'' machine-learning interatomic potentials (uMLIPs) capable of approximating the ground-state potential energy surface across a wide range of chemical structures and compositions with reasonable accuracy... | https://arxiv.org/abs/2512.05717 | Academic Papers | svg |
df6a88299edaa5fa7d9c6a05c76a1f838e71054dfac2aeacb1b9f1c7c914eaf8 | 2026-01-23T00:00:00-05:00 | Conformal Blindness: A Note on $A$-Cryptic change-points | arXiv:2601.01147v2 Announce Type: replace-cross Abstract: Conformal Test Martingales (CTMs) are a standard method within the Conformal Prediction framework for testing the crucial assumption of data exchangeability by monitoring deviations from uniformity in the p-value sequence. Although exchangeability implies unifor... | https://arxiv.org/abs/2601.01147 | Academic Papers | svg |
694548e29357817d39dc29429bf0b170cbedd57c8aae24d9539bf5197ed36534 | 2026-01-23T00:00:00-05:00 | Where do We Poop? City-Wide Simulation of Defecation Behavior for Wastewater-Based Epidemiology | arXiv:2601.04231v2 Announce Type: replace-cross Abstract: Wastewater surveillance, which regularly examines the pathogen biomarkers in wastewater samples, is a valuable tool for monitoring infectious diseases circulating in communities. Yet, most wastewater-based epidemiology methods, which use wastewater surveillance ... | https://arxiv.org/abs/2601.04231 | Academic Papers | svg |
8f27c479dfc043bc9f958101a1c76b8fa5d4a2cc396fde756e97bf5198a2d342 | 2026-01-23T00:00:00-05:00 | Generalization to Political Beliefs from Fine-Tuning on Sports Team Preferences | arXiv:2601.04369v3 Announce Type: replace-cross Abstract: Fine-tuned LLMs often exhibit unexpected behavior as a result of generalizing beyond the data they're shown. We present results in which an LLM fine-tuned to prefer either coastal sports teams or Southern sports teams adopt political beliefs that diverge signifi... | https://arxiv.org/abs/2601.04369 | Academic Papers | svg |
75560840c234e5485164e6320ec766fbfc656f58b192f718ae3b2d0da6df464d | 2026-01-23T00:00:00-05:00 | Finite-Sample Inference for Sparsely Permuted Linear Regression | arXiv:2601.14872v2 Announce Type: replace-cross Abstract: We study a linear observation model with an unknown permutation called \textit{permuted/shuffled linear regression}, where responses and covariates are mismatched and the permutation forms a discrete, factorial-size parameter. The permutation is a key component ... | https://arxiv.org/abs/2601.14872 | Academic Papers | svg |
dabb003f65872065990a83bd979a019e94e920103ba286ac06ddbcf658591944 | 2026-01-23T00:00:00-05:00 | Low-magnitude seismic activity between the Kamchatka July 20 and July 29, 2025, earthquakes. Spatio-temporal evolution recovered using waveform cross-correlation | arXiv:2601.15302v1 Announce Type: new Abstract: The M8.8 Kamchatka earthquake on July 29, 2025 was one of the largest in the first quarter of the 21st century. It deserves a thorough analysis including the preparation process. A smaller M7.4 earthquake occurred on July 20 with its epicenter within the confidence ellips... | https://arxiv.org/abs/2601.15302 | Academic Papers | svg |
4193532283a20032e4a5464e67f7ead4d1337450aa1e080ba434b976f83ac2c7 | 2026-01-23T00:00:00-05:00 | High-Frequency Switching in Superparamagnetic Magnetic Tunnel Junctions by Enhancing Damping | arXiv:2601.15315v1 Announce Type: new Abstract: Superparamagnetic magnetic tunnel junctions (sMTJs) are promising components for true random number generation and probabilistic computing. Achieving high-frequency fluctuation while maintaining reliable control over output level is critical for applications. In this work... | https://arxiv.org/abs/2601.15315 | Academic Papers | svg |
473e6cd82dd3a9c6a629a3cc02cdfa5f70e107a3e6b46d58a536d73b7eaa756b | 2026-01-23T00:00:00-05:00 | Z(3) Metastable Bubbles and Chiral Dynamics Across a Dark-QCD Deconfinement Transition | arXiv:2601.15342v1 Announce Type: new Abstract: We present a self-contained theoretical analysis of a dark-QCD chiral transition in which the Polyakov-loop sector retains an explicit $Z(3)$ structure and couples consistently to the chiral order parameter.Working within a coupled chiral--Polyakov effective theory, we ma... | https://arxiv.org/abs/2601.15342 | Academic Papers | svg |
67e7f3deb77f70dfafb81dedbe539f6d5d773b5b53791c152092230c6cd00a9b | 2026-01-23T00:00:00-05:00 | Metastable Transitions and $\Gamma$--Convergent Eyring--Kramers Asymptotics in Landau--QCD Gradient Systems | arXiv:2601.15343v1 Announce Type: new Abstract: We develop a rigorous analytical framework for metastable stochastic transitions in Landau--type gradient systems inspired by QCD phenomenology. The functional $F(\sigma;u)=\int_\Omega [\frac{\kappa}{2}|\nabla\sigma|^2+V(\sigma;u)]\,dx$, depending smoothly on a control pa... | https://arxiv.org/abs/2601.15343 | Academic Papers | svg |
115f6c7e131d2ebd78bf84862378b87849c1814cc18679d685a94a349360de24 | 2026-01-23T00:00:00-05:00 | Phantom model for intracranial pressure | arXiv:2601.15357v1 Announce Type: new Abstract: This report presents the MOD{\`E}FONE project, whose objective is to develop a simplified experimental model of the cerebrospinal system in order to investigate fluid-structure interactions and physiological adaptations under altered gravity conditions, with a particular ... | https://arxiv.org/abs/2601.15357 | Academic Papers | svg |
649656c35ab5ca574e71bcac3beeb557a2d6091761d09aa9e38e81ee7eaa48ef | 2026-01-23T00:00:00-05:00 | On the quantum separability of qubit registers | arXiv:2601.15364v1 Announce Type: new Abstract: We show that the bipartite separability of a pure qubit state hinges critically on the combinatorial structure of its computational-basis support. Using Boolean cube geometry, we introduce a taxonomy that distinguishes support-guaranteed separability from cases in which e... | https://arxiv.org/abs/2601.15364 | Academic Papers | svg |
ebfedd5e3c03643f8ae9be9de03561c2d71aebaff2703a522fa733c59160c09c | 2026-01-23T00:00:00-05:00 | Asymptotic scaling theory of electrostatic turbulent transport in magnetised fusion plasmas | arXiv:2601.15391v1 Announce Type: new Abstract: Turbulent transport remains one of the principal obstacles to achieving efficient magnetic confinement in fusion devices. Two of the dominant drivers of the turbulence are microscale instabilities fuelled by electron- and ion-temperature gradients (ETG and ITG), whose non... | https://arxiv.org/abs/2601.15391 | Academic Papers | svg |
930372875afe0a1e7670a0ac214a8f23fe258acd9b007897f3b7af373f614402 | 2026-01-23T00:00:00-05:00 | Bayesian identification of fibrous insulation thermal conductivity towards design of spacecraft thermal protection systems | arXiv:2601.15427v1 Announce Type: new Abstract: The design of spacecraft thermal protection systems (TPS) requires accurate knowledge of thermal transport properties across wide ranges of temperature and pressure. For fibrous insulation, conventional measurement techniques in laboratory settings are typically limited t... | https://arxiv.org/abs/2601.15427 | Academic Papers | svg |
f800b46a2f175a97d6d0aebf9d2a5a695011fe5c9c8b03e48cf348ad93a5e458 | 2026-01-23T00:00:00-05:00 | Attosecond-timing millimeter waves via Kerr optical frequency division | arXiv:2601.15456v1 Announce Type: new Abstract: Millimeter-wave oscillators underpin key applications in communication, spectroscopy, radar, and astronomy, yet their achievable spectral purity remains limited. Approaches that directly generate millimeter-wave carriers are fundamentally limited by quantum and thermal ph... | https://arxiv.org/abs/2601.15456 | Academic Papers | svg |
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