mlsanityData to 14 Oct 2026

Olmo 3

arXiv 2512.13961 ↗First posted 15 Dec 2025cs.CL cs.LGcited by 129

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Cited by 86 in LLM reasoning, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We introduce Olmo 3, a family of state-of-the-art, fully-open language models at the 7B and 32B parameter scales. Olmo 3 model construction targets long-context reasoning, function calling, coding, instruction following, general chat, and knowledge recall. This release includes the entire model flow, i.e., the full lifecycle of the family of models, including every stage, checkpoint, data point, and dependency used to build it. Our flagship model, Olmo 3 Think 32B, is the strongest fully-open thinking model released to-date.

Key facts. Cited by 129 papers in the map (data through 14 Oct 2026). First posted on arXiv 15 Dec 2025.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 129.

129 papers.

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  1. 2026Rethinking On-Policy Self-Distillation for Thinking Modelscited by 39
  2. 2026Reasoning Models Struggle to Control their Chains of Thoughtcited by 25
  3. 2026Olmo Hybrid: From Theory to Practice and Backcited by 22
  4. 2026Multi-Task GRPO: Reliable LLM Reasoning Across Taskscited by 14
  5. 2026Anti-Self-Distillation for Reasoning RL via Pointwise Mutual Informationcited by 14
  6. 2026Vero: An Open RL Recipe for General Visual Reasoningcited by 11
  7. 2026Data Repetition Beats Data Scaling in Long-CoT Supervised Fine-Tuningcited by 8
  8. 2026Prompt replay: speeding up grpo with on-policy reuse of high-signal promptscited by 8
  9. 2026Thinking Without Words: Efficient Latent Reasoning with Abstract Chain-of-Thoughtcited by 8
  10. 2026Decoupling the Effect of Chain-of-Thought Reasoning: A Human Label Variation Perspectivecited by 6
  11. 2026Negation Neglect: When models fail to learn negations in trainingcited by 6
  12. 2026Can Large Language Models Understand, Reason About, and Generate Code-Switched Text?cited by 5
38 more
  1. 2026QuantLRM: Quantization of Large Reasoning Models via Fine-Tuning Signalscited by 5
  2. 2026Measuring Weak-to-Strong Legibility of Reasoning Modelscited by 5
  3. 2026DeonticBench: A Benchmark for Reasoning over Rulescited by 5
  4. 2026ReasonXL: Shifting LLM Reasoning Language Without Sacrificing Performancecited by 5
  5. 2026ReasoningFlow: Discourse Structures for Understanding LLM Reasoning Tracescited by 5
  6. 2026DreamReasoner-8B: Block-Size Curriculum Learning for Diffusion Reasoning Modelscited by 5
  7. 2026Automated Researchers Can Mitigate Well-characterized Alignment Failurescited by 5
  8. 2026Expected Harm: Rethinking Safety Evaluation of (Mis)Aligned LLMscited by 4
  9. 2026Learning to Reason with Curriculum I: Provable Benefits of Autocurriculumcited by 4
  10. 2026Measuring Faithfulness Depends on How You Measure: Classifier Sensitivity in LLM Chain-of-Thought Evaluationcited by 4
  11. 2026Correct Answers from Sound Reasoning: Verifiable Process Supervision for Language Modelscited by 4
  12. 2026STT-Arena: A More Realistic Environment for Tool-Using with Spatio-Temporal Dynamicscited by 4
  13. 2026Credit Assignment with Resets in Language Model Reasoningcited by 4
  14. 2026Training Reasoning Models on Saturated Problems via Failure-Prefix Conditioningcited by 3
  15. 2026Fundamental Reasoning Paradigms Induce Out-of-Domain Generalization in Language Modelscited by 3
  16. 2026Large Reasoning Models Struggle to Transfer Parametric Knowledge Across Scriptscited by 3
  17. 2026Reasoning Shift: How Context Silently Shortens LLM Reasoningcited by 3
  18. 2026The Stepwise Informativeness Assumption: Why are Entropy Dynamics and Reasoning Correlated in LLMs?cited by 3
  19. 2026Joint Optimization of Reasoning and Dual-Memory for Self-Learning Diagnostic Agentcited by 3
  20. 2026Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcyclingcited by 3
  21. 2026A Recipe for Long-Context Reasoning in Large Language Models via On-Policy Optimization and Distillationcited by 3
  22. 2026Do Thinking Tokens Help with Safety?cited by 3
  23. 2026UrduBench: An Urdu Reasoning Benchmark using Contextually Ensembled Translations with Human-in-the-Loopcited by 2
  24. 2026How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networkscited by 2
  25. 2026Reasoning Core: A Scalable Procedural Data Generation Suite for Symbolic Pre-training and Post-Trainingcited by 2
  26. 2026ARC-TGI: Human-Validated Task Generators with Reasoning Chain Templates for ARC-AGIcited by 2
  27. 2026Think Before You Lie: How Reasoning Leads to Honestycited by 2
  28. 2026When Can LLMs Learn to Reason with Weak Supervision?cited by 2
  29. 2026Medmarks: A Comprehensive Open-Source LLM Benchmark Suite for Medical Taskscited by 2
  30. 2026Reflections and New Directions for Human-Centered Large Language Modelscited by 2
  31. 2026Reasoning Is Not Free: Robust Adaptive Cost-Efficient Routing for LLM-as-a-Judgecited by 2
  32. 2026Rethinking the Multilingual Reasoning Gap with Layer Swapcited by 2
  33. 2026Restoring the Sweet Spot: Pass-Rate Weighted Self-Distillation for LLM Reasoningcited by 2
  34. 2026Anatomy of Post-Training: Using Interpretability to Characterize Data and Shape the Learning Signalcited by 2
  35. 2026VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language Modelscited by 2
  36. 2026DataComp-VLM: Improved Open Datasets for Vision-Language Modelscited by 2
  37. 2026Are We Measuring Strategy or Phrasing? The Gap Between Surface- and Approach-Level Diversity in LLM Math Reasoningcited by 2
  38. 2026RecaLLM: Addressing the Lost-in-Thought Phenomenon with Explicit In-Context Retrievalcited by 1

50 most cited of 129 All 129 (JSON)

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  3. 2025Is GPT-OSS Good? A Comprehensive Evaluation of OpenAI's Latest Open Source Models
  4. 2024OLMoE: Open Mixture-of-Experts Language Models
  5. 2024Intelligence Analysis of Language Models
  6. 2026Yuan3.0 Flash: An Open Multimodal Large Language Model for Enterprise Applications
  7. 2026ThinkOmni: Lifting Textual Reasoning to Omni-modal Scenarios via Guidance Decoding
  8. 2025AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale