{"total":73,"rows":[{"id":"2601.12538","title":"A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents","created":"2026-01-18","cited_by_count":50,"area":"lr"},{"id":"2605.18747","title":"Code as Agent Harness","created":"2026-05-18","cited_by_count":47,"area":"agents"},{"id":"2604.02029","title":"The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook","created":"2026-04-02","cited_by_count":43,"area":null},{"id":"2512.19682","title":"GenEnv: Difficulty-Aligned Co-Evolution Between LLM Agents and Environment Simulators","created":"2025-12-22","cited_by_count":42,"area":"agents"},{"id":"2601.12307","title":"Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline","created":"2026-01-18","cited_by_count":22,"area":"lr"},{"id":"2602.01011","title":"Multi-Agent Teams Hold Experts Back","created":"2026-02-01","cited_by_count":21,"area":"agents"},{"id":"2602.07755","title":"Learning to Continually Learn via Meta-learning Agentic Memory Designs","created":"2026-02-08","cited_by_count":18,"area":"agents"},{"id":"2601.14192","title":"Toward Efficient Agents: Memory, Tool learning, and Planning","created":"2026-01-20","cited_by_count":16,"area":"agents"},{"id":"2602.03695","title":"Agent Primitives: Reusable Latent Building Blocks for Multi-Agent Systems","created":"2026-02-03","cited_by_count":14,"area":"agents"},{"id":"2602.00471","title":"Dual Latent Memory for Visual Multi-agent System","created":"2026-01-31","cited_by_count":10,"area":null},{"id":"2602.17835","title":"Influence-Preserving Proxies for Gradient-Based Data Selection in LLM Fine-tuning","created":"2026-02-19","cited_by_count":10,"area":null},{"id":"2605.24468","title":"SAM: State-Adaptive Memory for Long-Horizon Reasoning Agent","created":"2026-05-23","cited_by_count":10,"area":"lr"},{"id":"2602.15382","title":"The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems","created":"2026-02-17","cited_by_count":9,"area":"lr"},{"id":"2512.21720","title":"An Information Theoretic Perspective on Agentic System Design","created":"2025-12-25","cited_by_count":8,"area":"agents"},{"id":"2605.06623","title":"MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems","created":"2026-05-07","cited_by_count":7,"area":"agents"},{"id":"2606.05711","title":"Beyond tokens: a unified framework for latent communication in LLM-based multi-agent systems","created":"2026-06-04","cited_by_count":7,"area":"agents"},{"id":"2605.09104","title":"Token Economics for LLM Agents: A Dual-View Study from Computing and Economics","created":"2026-05-09","cited_by_count":6,"area":"agents"},{"id":"2605.14892","title":"Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems","created":"2026-05-14","cited_by_count":6,"area":"agents"},{"id":"2602.03688","title":"TodyComm: Task-Oriented Dynamic Communication for Multi-Round LLM-based Multi-Agent System","created":"2026-02-03","cited_by_count":5,"area":"agents"},{"id":"2605.02801","title":"Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces","created":"2026-05-04","cited_by_count":5,"area":"agents"},{"id":"2605.17467","title":"VerifyMAS: Hypothesis Verification for Failure Attribution in LLM Multi-Agent Systems","created":"2026-05-17","cited_by_count":5,"area":"agents"},{"id":"2608.13317","title":"StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems","created":"2026-08-13","cited_by_count":5,"area":"agents"},{"id":"2604.07622","title":"DIVERSED: Relaxed Speculative Decoding via Dynamic Ensemble Verification","created":"2026-04-08","cited_by_count":4,"area":"inference"},{"id":"2605.00444","title":"Scaling Video Understanding via Compact Latent Multi-Agent Collaboration","created":"2026-05-01","cited_by_count":4,"area":"mllm"},{"id":"2605.28214","title":"Out of Sight, Not Out of Mind: Unveiling Latent Attack in Latent-based Multi-Agent Systems","created":"2026-05-27","cited_by_count":4,"area":null},{"id":"2606.28958","title":"When Latent Agents Lie: KV-Cache Integrity in Multi-Agent LLM Collaboration","created":"2026-06-27","cited_by_count":4,"area":"agents"},{"id":"2607.09153","title":"KV-PRM: Efficient Process Reward Modeling via KV-Cache Transfer for Multi-Agent Test-Time Scaling","created":"2026-07-10","cited_by_count":4,"area":"lr"},{"id":"2604.03809","title":"Representational Collapse in Multi-Agent LLM Committees: Measurement and Diversity-Aware Consensus","created":"2026-04-04","cited_by_count":3,"area":"agents"},{"id":"2606.20075","title":"What Makes Effective Supervision in Latent Chain-of-Thought: An Information-Theoretic Analysis","created":"2026-06-18","cited_by_count":3,"area":"lr"},{"id":"2608.04893","title":"When Does Latent Communication Pay? A Causal Audit of Relayed KV Caches in Multi-Agent LLMs","created":"2026-08-05","cited_by_count":3,"area":"agents"},{"id":"2608.11676","title":"XBridge: Entity-Grounded Latent Bridge for Heterogeneous LLM Communication","created":"2026-08-12","cited_by_count":3,"area":"agents"},{"id":"2601.03846","title":"When Numbers Start Talking: Implicit Numerical Coordination Among LLM-Based Agents","created":"2026-01-07","cited_by_count":2,"area":"agents"},{"id":"2605.25422","title":"A Token/KV-Cache Communication Media Selection and Resource Allocation Strategy for Multi-Agent Collaboration","created":"2026-05-25","cited_by_count":2,"area":"agents"},{"id":"2601.23027","title":"Divide-and-Conquer CoT: RL for Reducing Latency via Parallel Reasoning","created":"2026-01-30","cited_by_count":1,"area":"lr"},{"id":"2602.07256","title":"Graph homophily booster: Reimagining the role of discrete features in heterophilic graph learning","created":"2026-02-06","cited_by_count":1,"area":null},{"id":"2603.10160","title":"ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning","created":"2026-03-10","cited_by_count":1,"area":null},{"id":"2603.14937","title":"LLM as Graph Kernel: Rethinking Message Passing on Text-Rich Graphs","created":"2026-03-16","cited_by_count":1,"area":"lr"},{"id":"2604.10815","title":"MeloTune: On-Device Arousal Learning and Peer-to-Peer Mood Coupling for Proactive Music Curation","created":"2026-04-12","cited_by_count":1,"area":null},{"id":"2604.27351","title":"Heterogeneous Scientific Foundation Model Collaboration","created":"2026-04-30","cited_by_count":1,"area":"agents"},{"id":"2605.03884","title":"QKVShare: Quantized KV-Cache Handoff for Multi-Agent On-Device LLMs","created":"2026-05-05","cited_by_count":1,"area":"agents"},{"id":"2605.07315","title":"LaTER: Efficient Test-Time Reasoning via Latent Exploration and Explicit Verification","created":"2026-05-08","cited_by_count":1,"area":"lr"},{"id":"2606.27378","title":"Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs","created":"2026-05-07","cited_by_count":1,"area":"lr"},{"id":"2608.09333","title":"DH-VLM: Dual-Horizon Cooperative Latent Reasoning for Autonomous Driving","created":"2026-08-10","cited_by_count":1,"area":"lr"},{"id":"2608.20379","title":"A Survey on Foundations and Frontiers of Multimodal Agentic Frameworks: Techniques and Applications","created":"2026-06-28","cited_by_count":1,"area":"agents"},{"id":"2609.02889","title":"Where Does Harness-Optimization Value Live? Localized Gains and the Budget-Splitting Trap in Self-Evolving LLM Agents","created":"2026-06-25","cited_by_count":1,"area":"agents"},{"id":"2609.10266","title":"KVShareArena: KV-Cache Reuse Across Contexts and Model Checkpoints","created":"2026-09-09","cited_by_count":1,"area":"inference"},{"id":"2602.05289","title":"Towards a Science of Collective AI: LLM-based Multi-Agent Systems Need a Transition from Blind Trial-and-Error to Rigorous Science","created":"2026-02-05","cited_by_count":0,"area":"agents"},{"id":"2602.14910","title":"Position: Introspective Experience from Conversational Environments as a Path to Better Learning","created":"2026-02-16","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":"2605.13839","title":"Good Agentic Friends Do Not Just Give Verbal Advice: They Can Update Your Weights","created":"2026-05-13","cited_by_count":0,"area":"agents"},{"id":"2605.22504","title":"LACO: Adaptive Latent Communication for Collaborative Driving","created":"2026-05-21","cited_by_count":0,"area":"driving"},{"id":"2606.06252","title":"Closing the Loop on Latent Reasoning via Test-Time Reconstruction","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2606.14672","title":"Towards Direct Latent-Space Synthesis for Parallel Branches in LLM-Agent Workflows","created":"2026-06-12","cited_by_count":0,"area":"agents"},{"id":"2606.28166","title":"Tandem Reinforcement Learning with Verifiable Rewards","created":"2026-06-26","cited_by_count":0,"area":"lr"},{"id":"2608.05980","title":"How Far Do Simple Transformations Translate Across Text Embedding Models?","created":"2026-08-06","cited_by_count":0,"area":null},{"id":"2608.09447","title":"WDL-OPD: Weak-Driven On-Policy Distillation via Mixture-Constrained Co-Training","created":"2026-08-10","cited_by_count":0,"area":"distill"},{"id":"2608.11218","title":"MaSRead: Content-Addressed Reading of Replicated Latent Stores","created":"2026-07-21","cited_by_count":0,"area":"inference"},{"id":"2608.19161","title":"Beyond the Transcript: Detecting Covert Co ordination in Latent Multi-Agent Communication","created":"2026-08-19","cited_by_count":0,"area":"agents"},{"id":"2609.02890","title":"Bounded Personas Match Retrieval on Classification but Not Regression for a Frozen Agent","created":"2026-06-25","cited_by_count":0,"area":null},{"id":"2609.07474","title":"Where Should Language Sit in a Multimodal Model? Lessons from What Language Does to Human Perception and Cognition","created":"2026-09-07","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":"2609.19759","title":"Rethinking Multi-Agent Collaboration: When More Is Less","created":"2026-09-17","cited_by_count":0,"area":"lr"},{"id":"2609.21509","title":"The Communication Bottleneck: A Round-Trip Study of Tree-Structured Expression Serialization in Language Models","created":"2026-09-18","cited_by_count":0,"area":"lr"},{"id":"2609.32046","title":"Receiver-Conditioned Latent Communication gives 94% CacheBack","created":"2026-09-25","cited_by_count":0,"area":"inference"},{"id":"2609.32259","title":"Prefill-Free Cross-Family KV Cache Transfer for Heterogeneous Multi-Agent LLMs","created":"2026-09-26","cited_by_count":0,"area":"agents"},{"id":"2609.34754","title":"Draft-KV: Learning Useful Latent Communication Between Language Models","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.39788","title":"Safety of Latent Communication in Multi-Agent Systems","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.00437","title":"JevSpawn: Adaptive Agentic Inference through Compositional Action Spaces","created":"2026-09-30","cited_by_count":0,"area":"lr"},{"id":"2610.01042","title":"Beyond Final Accuracy: Auditing Communication in LLM Multi-Agent Systems","created":"2026-10-01","cited_by_count":0,"area":"agents"},{"id":"2610.02161","title":"DuoMind: Enabling Distributed Multi-Robot Coordination with Semantic Communication","created":"2026-10-01","cited_by_count":0,"area":"mllm"},{"id":"2610.03033","title":"When Numbers Start Talking: Numerical Signalling and Strategic Behaviour Among LLMs","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.17365","title":"When Goals Leak Across Relationships: How Cached Goal Representations Shape Cross-Client Decisions","created":"2026-10-12","cited_by_count":0,"area":"agents"},{"id":"2610.19696","title":"Share the Symbol, Not the Vector: Training-Free Fact Communication Across Language Models","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}