{"total":143,"rows":[{"id":"2505.09388","title":"Qwen3 Technical Report","created":"2025-05-14","cited_by_count":8820,"area":"lr"},{"id":"2508.06471","title":"GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models","created":"2025-08-08","cited_by_count":467,"area":"lr"},{"id":"2412.15204","title":"LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks","created":"2024-12-19","cited_by_count":379,"area":"lr"},{"id":"2501.00663","title":"Titans: Learning to Memorize at Test Time","created":"2024-12-31","cited_by_count":328,"area":"lr"},{"id":"2507.02259","title":"MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent","created":"2025-07-03","cited_by_count":246,"area":"lr"},{"id":"2406.10149","title":"BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack","created":"2024-06-14","cited_by_count":215,"area":"lr"},{"id":"2412.19442","title":"A Survey on Large Language Model Acceleration based on KV Cache Management","created":"2024-12-27","cited_by_count":131,"area":"lr"},{"id":"2505.07608","title":"MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining","created":"2025-05-12","cited_by_count":121,"area":"lr"},{"id":"2508.14444","title":"NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model","created":"2025-08-20","cited_by_count":108,"area":"lr"},{"id":"2512.20848","title":"Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning","created":"2025-12-23","cited_by_count":104,"area":"lr"},{"id":"2512.24601","title":"Recursive Language Models","created":"2025-12-31","cited_by_count":104,"area":"lr"},{"id":"2504.03624","title":"Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models","created":"2025-04-04","cited_by_count":100,"area":"lr"},{"id":"2603.15569","title":"Mamba-3: Improved Sequence Modeling using State Space Principles","created":"2026-03-16","cited_by_count":89,"area":"lr"},{"id":"2409.12640","title":"Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries","created":"2024-09-19","cited_by_count":88,"area":"lr"},{"id":"2505.16839","title":"LaViDa: A Large Diffusion Language Model for Multimodal Understanding","created":"2025-05-22","cited_by_count":84,"area":"lr"},{"id":"2509.25911","title":"Mem-{\\alpha}: Learning Memory Construction via Reinforcement Learning","created":"2025-09-30","cited_by_count":55,"area":"lr"},{"id":"2501.15089","title":"LongReason: A Synthetic Long-Context Reasoning Benchmark via Context Expansion","created":"2025-01-25","cited_by_count":50,"area":"lr"},{"id":"2606.13392","title":"MiniMax Sparse Attention","created":"2026-06-11","cited_by_count":44,"area":"lr"},{"id":"2602.15902","title":"Doc-to-LoRA: Learning to Instantly Internalize Contexts","created":"2026-02-13","cited_by_count":43,"area":"lr"},{"id":"2606.15007","title":"Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning","created":"2026-06-12","cited_by_count":42,"area":"lr"},{"id":"2509.23040","title":"Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents","created":"2025-09-27","cited_by_count":38,"area":"lr"},{"id":"2407.11963","title":"NeedleBench: Evaluating LLM Retrieval and Reasoning Across Varying Information Densities","created":"2024-07-16","cited_by_count":32,"area":"lr"},{"id":"2506.09014","title":"Learning to Reason Across Parallel Samples for LLM Reasoning","created":"2025-06-10","cited_by_count":32,"area":"lr"},{"id":"2507.11407","title":"EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modes","created":"2025-07-15","cited_by_count":32,"area":"lr"},{"id":"2411.08147","title":"Large Language Models Can Self-Improve in Long-context Reasoning","created":"2024-11-12","cited_by_count":29,"area":"lr"},{"id":"2510.19363","title":"LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts","created":"2025-10-22","cited_by_count":29,"area":"lr"},{"id":"2502.02393","title":"Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers","created":"2025-02-04","cited_by_count":28,"area":"lr"},{"id":"2503.13517","title":"CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning","created":"2025-03-14","cited_by_count":28,"area":"lr"},{"id":"2506.05345","title":"Inference-Time Hyper-Scaling with KV Cache Compression","created":"2025-06-05","cited_by_count":27,"area":"lr"},{"id":"2507.02001","title":"Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames","created":"2025-07-01","cited_by_count":27,"area":"lr"},{"id":"2511.02805","title":"MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning","created":"2025-11-04","cited_by_count":27,"area":"lr"},{"id":"2410.03227","title":"ALR$^2$: A Retrieve-then-Reason Framework for Long-context Question Answering","created":"2024-10-04","cited_by_count":26,"area":"lr"},{"id":"2602.18998","title":"Benchmark Test-Time Scaling of General LLM Agents","created":"2026-02-22","cited_by_count":26,"area":"lr"},{"id":"2502.20790","title":"Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision","created":"2025-02-28","cited_by_count":21,"area":"lr"},{"id":"2508.11133","title":"MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of Documents","created":"2025-08-15","cited_by_count":21,"area":"lr"},{"id":"2604.04921","title":"TriAttention: Efficient Long Reasoning with Trigonometric KV Compression","created":"2026-04-06","cited_by_count":21,"area":"lr"},{"id":"2407.10718","title":"Sibyl: Simple yet Effective Agent Framework for Complex Real-world Reasoning","created":"2024-07-15","cited_by_count":18,"area":"lr"},{"id":"2512.13898","title":"Let's (not) just put things in Context: Test-Time Training for Long-Context LLMs","created":"2025-12-15","cited_by_count":18,"area":"lr"},{"id":"2502.05252","title":"GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?","created":"2025-02-07","cited_by_count":17,"area":"lr"},{"id":"2502.01941","title":"Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression","created":"2025-02-04","cited_by_count":16,"area":"lr"},{"id":"2502.12583","title":"LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data","created":"2025-02-18","cited_by_count":16,"area":"lr"},{"id":"2603.02146","title":"LongRLVR: Long-Context Reinforcement Learning Requires Verifiable Context Rewards","created":"2026-03-02","cited_by_count":15,"area":"lr"},{"id":"2409.01893","title":"What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices","created":"2024-09-03","cited_by_count":14,"area":"lr"},{"id":"2502.20377","title":"PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation","created":"2025-02-27","cited_by_count":14,"area":"lr"},{"id":"2504.06214","title":"From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models","created":"2025-04-08","cited_by_count":14,"area":"lr"},{"id":"2505.18499","title":"G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning","created":"2025-05-24","cited_by_count":14,"area":"lr"},{"id":"2511.07378","title":"Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization","created":"2025-11-10","cited_by_count":14,"area":"lr"},{"id":"2607.05378","title":"CompactionRL: Reinforcement Learning with Context Compaction for Long-Horizon Agents","created":"2026-07-06","cited_by_count":14,"area":"lr"},{"id":"2409.06679","title":"E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning","created":"2024-09-10","cited_by_count":13,"area":"lr"},{"id":"2410.04698","title":"MathHay: An Automated Benchmark for Long-Context Mathematical Reasoning in LLMs","created":"2024-10-07","cited_by_count":13,"area":"lr"},{"id":"2510.06557","title":"The Markovian Thinker: Architecture-Agnostic Linear Scaling of Reasoning","created":"2025-10-08","cited_by_count":13,"area":"lr"},{"id":"2605.09874","title":"EgoMemReason: A Memory-Driven Reasoning Benchmark for Long-Horizon Egocentric Video Understanding","created":"2026-05-11","cited_by_count":13,"area":"lr"},{"id":"2410.13846","title":"LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation","created":"2024-10-17","cited_by_count":12,"area":"lr"},{"id":"2410.11996","title":"Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data","created":"2024-10-15","cited_by_count":11,"area":"lr"},{"id":"2507.06607","title":"Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation","created":"2025-07-09","cited_by_count":11,"area":"lr"},{"id":"2508.21422","title":"Automatic Reviewers Fail to Detect Faulty Reasoning in Research Papers: A New Counterfactual Evaluation Framework","created":"2025-08-29","cited_by_count":11,"area":"lr"},{"id":"2601.13572","title":"Behavior Knowledge Merge in Reinforced Agentic Models","created":"2026-01-20","cited_by_count":11,"area":"lr"},{"id":"2602.05758","title":"LongR: Unleashing Long-Context Reasoning via Reinforcement Learning with Dense Utility Rewards","created":"2026-02-05","cited_by_count":10,"area":"lr"},{"id":"2406.12331","title":"Retrieval Meets Reasoning: Dynamic In-Context Editing for Long-Text Understanding","created":"2024-06-18","cited_by_count":9,"area":"lr"},{"id":"2505.08140","title":"Lost in Transmission: When and Why LLMs Fail to Reason Globally","created":"2025-05-13","cited_by_count":9,"area":"lr"},{"id":"2602.10560","title":"When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning","created":"2026-02-11","cited_by_count":9,"area":"lr"},{"id":"2506.02000","title":"NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative Contexts","created":"2025-05-20","cited_by_count":8,"area":"lr"},{"id":"2601.07226","title":"Lost in the Noise: How Reasoning Models Fail with Contextual Distractors","created":"2026-01-12","cited_by_count":8,"area":"lr"},{"id":"2602.08382","title":"Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement Learning","created":"2026-02-09","cited_by_count":8,"area":"lr"},{"id":"2411.01101","title":"Self-Consistency Falls Short! The Adverse Effects of Positional Bias on Long-Context Problems","created":"2024-11-02","cited_by_count":7,"area":"lr"},{"id":"2502.12962","title":"Infinite Retrieval: Attention Enhanced LLMs in Long-Context Processing","created":"2025-02-18","cited_by_count":7,"area":"lr"},{"id":"2508.09848","title":"PRELUDE: A Benchmark Designed to Require Global Comprehension and Reasoning over Long Contexts","created":"2025-08-13","cited_by_count":7,"area":"lr"},{"id":"2602.01914","title":"Towards Long-Horizon Interpretability: Efficient and Faithful Multi-Token Attribution for Reasoning LLMs","created":"2026-02-02","cited_by_count":7,"area":"lr"},{"id":"2604.24432","title":"Kwai Summary Attention Technical Report","created":"2026-04-27","cited_by_count":7,"area":"lr"},{"id":"2607.26760","title":"Metis: Memory Foundation Model","created":"2026-07-29","cited_by_count":7,"area":"lr"},{"id":"2512.12008","title":"Hold Onto That Thought: Assessing KV Cache Compression On Reasoning","created":"2025-12-12","cited_by_count":6,"area":"lr"},{"id":"2603.00026","title":"ActMem: Bridging the Gap Between Memory Retrieval and Reasoning in LLM Agents","created":"2026-02-04","cited_by_count":6,"area":"lr"},{"id":"2603.20586","title":"MKA: Memory-Keyed Attention for Efficient Long-Context Reasoning","created":"2026-03-21","cited_by_count":6,"area":"lr"},{"id":"2503.09819","title":"Attention Reveals More Than Tokens: Training-Free Long-Context Reasoning with Attention-guided Retrieval","created":"2025-03-12","cited_by_count":5,"area":"lr"},{"id":"2603.06274","title":"Stem: Rethinking Causal Information Flow in Sparse Attention","created":"2026-03-06","cited_by_count":5,"area":"lr"},{"id":"2606.15378","title":"Rethinking the Role of Efficient Attention in Hybrid Architectures","created":"2026-06-13","cited_by_count":5,"area":"lr"},{"id":"2608.31075","title":"Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence","created":"2026-08-31","cited_by_count":5,"area":"lr"},{"id":"2504.12637","title":"Scaling Instruction-Tuned LLMs to Million-Token Contexts via Hierarchical Synthetic Data Generation","created":"2025-04-17","cited_by_count":4,"area":"lr"},{"id":"2507.06415","title":"PERK: Long-Context Reasoning as Test-Time Learning","created":"2025-07-08","cited_by_count":4,"area":"lr"},{"id":"2508.05305","title":"SONAR-LLM: Autoregressive Transformer that Thinks in Sentence Embeddings and Speaks in Tokens","created":"2025-08-07","cited_by_count":4,"area":"lr"},{"id":"2510.25804","title":"Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data","created":"2025-10-29","cited_by_count":4,"area":"lr"},{"id":"2607.02509","title":"ReContext: Recursive Evidence Replay as LLM Harness for Long-Context Reasoning","created":"2026-07-02","cited_by_count":4,"area":"lr"},{"id":"2410.04422","title":"Long-context Language Models Fail in Basic Retrieval Tasks Without Sufficient Reasoning Steps","created":"2024-10-06","cited_by_count":3,"area":"lr"},{"id":"2412.18914","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","created":"2024-12-25","cited_by_count":3,"area":"lr"},{"id":"2504.12845","title":"Can LLMs reason over extended multilingual contexts? Towards long-context evaluation beyond retrieval and haystacks","created":"2025-04-17","cited_by_count":3,"area":"lr"},{"id":"2505.16928","title":"Beyond Needle(s) in the Embodied Haystack: Environment, Architecture, and Training Considerations for Long Context Reasoning","created":"2025-05-22","cited_by_count":3,"area":"lr"},{"id":"2509.18458","title":"CogniLoad: A Synthetic Natural Language Reasoning Benchmark With Tunable Length, Intrinsic Difficulty, and Distractor Density","created":"2025-09-22","cited_by_count":3,"area":"lr"},{"id":"2512.06201","title":"K2-V2: A 360-Open, Reasoning-Enhanced LLM","created":"2025-12-05","cited_by_count":3,"area":"lr"},{"id":"2601.12465","title":"Incentivizing In-depth Reasoning over Long Contexts with Process Advantage Shaping","created":"2026-01-18","cited_by_count":3,"area":"lr"},{"id":"2601.12499","title":"Failure Modes in Multi-Hop QA: The Weakest Link Effect and the Recognition Bottleneck","created":"2026-01-18","cited_by_count":3,"area":"lr"},{"id":"2602.08874","title":"Do Reasoning LLMs Refuse What They Infer in Long Contexts?","created":"2026-02-09","cited_by_count":3,"area":"lr"},{"id":"2602.19281","title":"Limited Reasoning Space: The cage of long-horizon reasoning in LLMs","created":"2026-02-22","cited_by_count":3,"area":"lr"},{"id":"2604.14922","title":"LongAct: Harnessing Intrinsic Activation Patterns for Long-Context Reinforcement Learning","created":"2026-04-16","cited_by_count":3,"area":"lr"},{"id":"2605.26827","title":"ContextGuard: Structured Self-Auditing for Context Learning in Language Models","created":"2026-05-26","cited_by_count":3,"area":"lr"},{"id":"2503.07903","title":"Can Memory-Augmented Language Models Generalize on Reasoning-in-a-Haystack Tasks?","created":"2025-03-10","cited_by_count":2,"area":"lr"},{"id":"2504.04150","title":"Reasoning on Multiple Needles In A Haystack","created":"2025-04-05","cited_by_count":2,"area":"lr"},{"id":"2509.13161","title":"Enhancing Video Large Language Models with Structured Multi-Video Collaborative Reasoning","created":"2025-09-16","cited_by_count":2,"area":"lr"},{"id":"2603.02615","title":"Think, But Don't Overthink: Reproducing Recursive Language Models","created":"2026-03-03","cited_by_count":2,"area":"lr"},{"id":"2605.14037","title":"Self-Pruned Key-Value Attention: Learning When to Write by Predicting Future Utility","created":"2026-05-13","cited_by_count":2,"area":"lr"},{"id":"2606.12400","title":"Doc-to-Atom: Learning to Compile and Compose Memory Atoms","created":"2026-06-10","cited_by_count":2,"area":"lr"}],"next_cursor":"100"}