Key papers

• IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation (2026)
  Zixuan Li et al.
  8.79
• An Exam for Active Observers (2026)
  Jiarui Zhang et al.
  6.58
• Gauge-Invariant, Parameter-Insensitive Regularization for Potential Recovery from Flow on Directed Graphs (2026)
  Mohammad Forouhesh
  5.88
• Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation (2026)
  Martin Andrews
  5.01
• Graph Neural Networks for Scalable and Transferable Node Centrality Approximation (2026)
  Samra Sana et al.
  4.39
• What Your Model Threw Away and Why You'll Want It Back: Masking, Fingerprinting, and Privacy from Discarded Geometry (2026)
  Zachary P. Bradshaw
  4.39
• Probabilistic Extension of Neuro-Symbolic AGI Robots based on Belnap's Typed Intensional FOL (2026)
  Zoran Majkic
  4.39
• Disentangling Knowledge States with Ability and Proficiency Modeling for Knowledge Tracing (2026)
  Duantengchuan Li et al.
  4.39
• Theory-Level Autoformalization: From Isolated Statements to Unified Formal Knowledge Bases (2026)
  Marcus J. Min et al.
  4.39
• Factorized Spectral Representations for Reinforcement Learning (2026)
  Junyi Wu et al.
  4.39
• CDS: Counterfactual Directionality Score for Structured Interventions in Spatial Graphs (2026)
  Humaira Anzum et al.
  4.39
• From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing (2026)
  Yin Huang et al.
  4.39
• How Far Can Root Cause Analysis Go on Real-World Telemetry Data? (2026)
  Athira Gopal et al.
  4.39
• Algebraic Representability as the Limiting Regime of Grokking: An Exactly Solvable Model with Holomorphic Activations (2026)
  Chon-Fai Kam et al.
  4.39
• MxGPS: Multiplex Graph Transformers for a Power Grid Foundation Model (2026)
  Charilaos Papaioannou et al.
  4.39
• Transforming Rank: How Architecture Navigates the Spectral Pathologies of Depth (2026)
  Katie Everett
  4.39
• Spectral Flow Certificates for Depth-Aware Long-Range Propagation in Graph Neural Networks (2026)
  Ranjan Veerabhadraswamy et al.
  4.39
• Explainable quantum-compressed machine learning for complex fluid flows (2026)
  Xiao Xue et al.
  4.39
• TRW: TRACE-RealWorld---An Auditable Consistency Contract for World Models as Materialized Views (2026)
  Edward Y. Chang
  4.39
• From Score Approximation to Distribution Approximation in Score-Based Diffusion Models (2026)
  Lan V. Truong
  4.39
• Enhanced Graph Neural Networks using K-Hop Gaussian Diffusion (2026)
  Xuling Zhang et al.
  4.33
• Ramanujan Graph Rewiring with Non Negative Resistance Curvature (2026)
  Hugo Attali et al.
  4.33
• From Observation to Insight: Mechanistic World Models and the Quest for Autonomous Discovery (2026)
  Ingmar Posner et al.
  3.51
• T^2MLR: Transformer with Temporal Middle-Layer Recurrence (2026)
  Ziyang Cai et al.
  3.51
• Growing Hypergraphs with Homophily (2026)
  Violet Ross et al.
  3.51
• Universality and Approximation Rates of Graph Neural Networks with Random Features (2026)
  Lukas Gonon et al.
  2.00
• Tight Generalization Bound for AdaBoost (2026)
  Mikael M{\o}ller H{\o}gsgaard
  2.00
• Parameter-Free Dynamic Regret for Online Convex Optimization under Heavy-Tailed Noise (2026)
  Vaneet Aggarwal
  2.00
• Graph Attention Network-Aided Message-Passing Neural Decoder for Polar Codes Based on Sparse-Pruned Tanner Graphs (2026)
  Dongrui Fu et al.
  1.94
• Generalizing GNNs with Tokenized Mixture of Experts (2026)
  Xiaoguang Guo et al.
  1.72