Highlights
Top disruptiveness scores across every published week. Prefer the free explainer when one exists.
#1 · score 93 · 2026-W44
OpenTac: An Open Ecosystem for Customizable, Scalable, and Transferable 3D Tactile Sensing
We present OpenTac, a novel sensor and a full-stack ecosystem for tactile skins that are highly customizable, scalable, and readily deployed in downstream robo…
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#2 · score 93 · 2026-W34
TS-Reasoner: Aligning Time Series Foundation Models with LLM Reasoning
Time series reasoning is crucial to decision-making in diverse domains, including finance, energy, and scientific discovery. While existing time series foundat…
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#3 · score 93 · 2026-W35
AI4AI-Bench: Benchmarking LLM Agents in Algorithmic Design for Recursive Self-Improvement
Recursive self-improvement (RSI) asks whether an AI system can improve the process that produces AI systems, so that the next system inherits the improvement.…
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#4 · score 93 · 2026-W36
Prompt-Conditioned Channel Attention for Hierarchical Feature Modulation toward Anatomy-Agnostic Segmentation
Anatomically plausible segmentation remains challenging because of low contrast, ambiguous boundaries, and modality-specific artifacts. Interactive segmentatio…
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#5 · score 93 · 2026-W37
Legibility is Not Interpretability: Comparing Judged and Actual Importance in Chain-Of-Thought Reasoning
Reasoning traces from chain-of-thought models appear to offer a legible window into how a model arrives at its answer. A growing body of work treats them as su…
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#6 · score 93 · 2026-W38
Rapid Learning of Dexterous In-Hand Pen Writing through Real-Time Jacobian Estimation
Dexterous in-hand manipulation of a grasped object with an anthropomorphic hand is an unsolved frontier for robot dexterity. The contact-richness and highly dy…
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#7 · score 93 · 2026-W39
Agile-WAM: An Agile Tactile World Action Model for Contact-Rich Robot Control
World Action Models (WAMs) advance beyond conventional visuomotor policies by jointly predicting future world states and robot actions, enabling the policy to…
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#8 · score 93 · 2026-W40
Temporal Gradient Inversion for Private Trajectory Reconstruction in Embodied Reinforcement Learning
Distributed learning in embodied reinforcement-learning agents offers a degree of privacy by retaining raw sensor data on-device and transmitting only policy g…
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#9 · score 93 · 2026-W41
KaliBench: A Fine-Grained Benchmark for Cybersecurity Tool Use on Kali Linux with Runtime-Free Verifiable Rewards
LLMs are increasingly applied to cybersecurity workflows, where they are expected to translate analysts' intent into tool invocations. However, existing evalua…
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#10 · score 93 · 2026-W42
Direct Quantification of Molecular Helicity-Dependent Effective Magnetic Fields in Chiral Polypeptide/Ferromagnet Heterostructures
Chirality-Induced Spin Selectivity (CISS) refers to structural chirality governing spin transport in chiral systems, with experimental signatures reported in b…
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#11 · score 93 · 2026-W43
Spark-0: Scaling Spatially Aligned Tactile Pretraining for Robot Dexterous Manipulation
Generalist robot policies benefit from large-scale visual pretraining but often struggle with contact-rich dexterous manipulation, where force, compliance, and…
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#12 · score 92 · 2026-W41
Can LLMs Reliably Annotate Bioassay Metadata to Improve Data Readiness?
The emergence of foundation models for molecular property prediction requires a high degree of AI data readiness, including reliable metadata annotation. Howev…
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#13 · score 92 · 2026-W42
A Balanced Data Diet: Addressing the Exploration Bottleneck in Mega-Scale RL for Robot Control
General-purpose robots must perform a wide range of tasks from agile locomotion to dexterous manipulation. While sim-to-real reinforcement learning (RL) has pr…
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#14 · score 91 · 2026-W38
MindTopo: Can Foundation Models Reason in Topological Space?
Spatial reasoning depends not only on metric properties such as distance, angle, and shape, but also on topological relations that remain invariant under conti…
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#15 · score 91 · 2026-W39
HPOQuest: A Rare-Disease Diagnostic Agent Using Active Phenotype Acquisition
More than 300 million people worldwide are affected by one of over 7,000 known rare diseases, yet diagnosis remains difficult because patients initially presen…
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#16 · score 90 · 2026-W44
Screening strongly correlated materials in solid oxide cells with quantum simulation
We develop an end-to-end framework for assessing a quantum-computing application in industrial materials science: the screening of strongly correlated oxygen-e…
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#17 · score 90 · 2026-W40
Quantum Feature Selection for Biomedical Data Analysis
Feature selection is an essential step for reducing complexity of high dimensional data, usually in preparation for developing machine learning models such as…
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#18 · score 90 · 2026-W42
Measure Now, Mitigate Later: Virtual Error Cancellation for Logical Quantum Circuits
Early fault-tolerant quantum algorithms are a key step in scalable quantum computing, but are ultimately constrained by residual, uncorrectable logical errors.…
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#19 · score 89 · 2026-W34
MKG-CARE: Case-Aware Reasoning with Multimodal Knowledge Graphs for Explainable Medical Image Diagnosis
Medical image diagnosis has achieved significant progress with deep learning, yet existing methods often rely on isolated visual evidence and lack the ability…
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#20 · score 89 · 2026-W35
Logarithmic depth compression of Heisenberg Hamiltonian simulation by fan-out parallelization, with built-in error detection
Noisy intermediate-scale quantum computers are constrained by circuit depth, while product-formula simulation of spin systems leads to narrow and deep circuits…
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#21 · score 89 · 2026-W39
Can 4D Foundation Models Remember?
Perceiving and remembering the visual world is fundamental to navigating and interacting with our environment. Current 4D foundation models, such as camera-con…
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#22 · score 89 · 2026-W41
InterEvolve: Test-Time Evolution of Reward Programs for Humanoid Loco-Manipulation
We study test-time evolution for humanoid loco-manipulation: solving tasks that a controller was never trained for by repurposing its existing skills, improvin…
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#23 · score 88 · 2026-W36
Swift-Image: Exploring the Performance Frontier of Compact Unified Image Generation Models
We present Swift-Image, a compact unified model for text-to-image generation, single-image editing, and multi-image editing. Our goal is to explore how far a r…
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#24 · score 88 · 2026-W40
SemMSA: Latent Semantic-Aided Robust Multimodal Sentiment Analysis with Incomplete Data
Recent research on Multimodal Sentiment Analysis (MSA) has focused on learning from language, visual, and acoustic modalities with incomplete data to infer hum…
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