{"total":34,"rows":[{"id":"2507.10524","title":"Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation","created":"2025-07-14","cited_by_count":133,"area":null},{"id":"2605.19376","title":"Generative Recursive Reasoning","created":"2026-05-19","cited_by_count":20,"area":null},{"id":"2506.17188","title":"Towards AI Search Paradigm","created":"2025-06-20","cited_by_count":19,"area":null},{"id":"2512.10941","title":"Mull-Tokens: Modality-Agnostic Latent Thinking","created":"2025-12-11","cited_by_count":19,"area":null},{"id":"2601.10129","title":"LaViT: Aligning Latent Visual Thoughts for Multi-modal Reasoning","created":"2026-01-15","cited_by_count":15,"area":null},{"id":"2604.26283","title":"MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution","created":"2026-04-29","cited_by_count":12,"area":null},{"id":"2602.22441","title":"How Do Latent Reasoning Methods Perform Under Weak and Strong Supervision?","created":"2026-02-25","cited_by_count":10,"area":null},{"id":"2503.22215","title":"Learning to Instruct for Visual Instruction Tuning","created":"2025-03-28","cited_by_count":8,"area":null},{"id":"2509.22761","title":"MILR: Improving Multimodal Image Generation via Test-Time Latent Reasoning","created":"2025-09-26","cited_by_count":8,"area":null},{"id":"2510.07739","title":"MeSH: Memory-as-State-Highways for Recursive Transformers","created":"2025-10-09","cited_by_count":8,"area":null},{"id":"2607.15178","title":"T^2MLR: Transformer with Temporal Middle-Layer Recurrence","created":"2026-07-16","cited_by_count":7,"area":null},{"id":"2511.20102","title":"SSA: Sparse Sparse Attention by Aligning Full and Sparse Attention Outputs in Feature Space","created":"2025-11-25","cited_by_count":6,"area":null},{"id":"2603.17837","title":"The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning","created":"2026-03-18","cited_by_count":6,"area":null},{"id":"2608.11233","title":"Retrofitting Recurrent Depth into a Pretrained Language Model: Installation, Extrapolation, Transfer, and Retention at Two Parameter Budgets","created":"2026-07-31","cited_by_count":6,"area":null},{"id":"2511.02770","title":"Beyond Single Embeddings: Capturing Diverse Targets with Multi-Query Retrieval","created":"2025-11-04","cited_by_count":5,"area":null},{"id":"2608.03624","title":"LoopMTP: A looped transformer guided by latent multi-token prediction","created":"2026-08-04","cited_by_count":3,"area":null},{"id":"2609.37818","title":"Thinking in Depth, Speaking Directly: Recurrent Latent Reasoning for Paralinguistically Grounded Spoken Dialogue","created":"2026-09-29","cited_by_count":2,"area":null},{"id":"2509.22621","title":"IA2: Alignment with ICL Activations Improves Supervised Fine-Tuning","created":"2025-09-26","cited_by_count":1,"area":null},{"id":"2606.20937","title":"Learning through Internalization","created":"2026-06-18","cited_by_count":1,"area":null},{"id":"2607.06648","title":"Final Checkpoints Are Not Enough: Analyzing Latent Reasoning Faithfulness Along Training Trajectories","created":"2026-07-07","cited_by_count":1,"area":null},{"id":"2603.08177","title":"Is continuous CoT better suited for multi-lingual reasoning?","created":"2026-03-09","cited_by_count":0,"area":null},{"id":"2605.01111","title":"When Less is Enough: Efficient Inference via Collaborative Reasoning","created":"2026-05-01","cited_by_count":0,"area":null},{"id":"2606.29928","title":"Latent-CURE for Breast Cancer Diagnosis","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2608.14107","title":"Retrieval Grounding Latent Reasoning for Dense Retrieval","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2608.14290","title":"Intern-S2-Mobius: Foundation Model with Decoupled Knowledge and Reasoning","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2609.15338","title":"Dynamic Semantic Compression for Efficient Latent-Space Inference in Large Language Models","created":"2026-09-14","cited_by_count":0,"area":null},{"id":"2609.16947","title":"AeroLat: Channel-Aware Latent Space Semantic Communication for Decentralized UAV Swarms","created":"2026-09-15","cited_by_count":0,"area":null},{"id":"2609.33271","title":"Next Thoughts Are Distributions: Generative Autoregressive Reasoning in the Latent Space","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.33402","title":"VaME: Exploring Variational Latent Reasoning for Multimodal Embeddings","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.33417","title":"Grounding Memory Summarization in Utility Intent","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.38149","title":"Pretraining Latent Information Feedback Transformers with Teacher Supervision","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.05815","title":"Plan Canvas: Fixed Reasoning Regions for Continuous Language Flows","created":"2026-10-05","cited_by_count":0,"area":null},{"id":"2610.16713","title":"Audit Before You Distill: A Controlled Workflow for Reasoning Transfer into Compact Medical Language Models","created":"2026-10-12","cited_by_count":0,"area":null},{"id":"2610.19568","title":"INTACT: Inducing Latent Reasoning on a Frozen Backbone","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}