---
title: "Who cites STaR: Bootstrapping Reasoning With Reasoning"
description: "The papers of the Elamur Research library that cite «STaR: Bootstrapping Reasoning With Reasoning», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/zelikman-2022-star-bootstrapping-reasoning-reasoning/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [STaR: Bootstrapping Reasoning With Reasoning](https://md.research.elamur.ai/free/en/papers/zelikman-2022-star-bootstrapping-reasoning-reasoning/) / cited by

# Who cites «STaR: Bootstrapping Reasoning With Reasoning»

585 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/zelikman-2022-star-bootstrapping-reasoning-reasoning/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/zelikman-2022-star-bootstrapping-reasoning-reasoning/cited-by/page/2/) · … · [6](https://md.research.elamur.ai/free/en/papers/zelikman-2022-star-bootstrapping-reasoning-reasoning/cited-by/page/6/)

1. [A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents](https://arxiv.org/abs/2601.12538) *— 2026 · arXiv:2601.12538*
2. [A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions](https://aclanthology.org/2026.acl-long.1045/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Achieving Gold-Medal-Level Olympiad Reasoning via Simple and Unified Scaling](https://arxiv.org/abs/2605.13301) *— 2026 · arXiv:2605.13301*
4. [AgentFactory: A Self-Evolving Framework Through Executable Subagent Accumulation and Reuse](https://aclanthology.org/2026.acl-demo.81/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
5. [AlignUSER: Human-Aligned LLM Agents via World Models for Recommender System Evaluation](https://aclanthology.org/2026.acl-long.747/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [Answer-Conditioned Chains of Thought Degrade Verifiable-Reasoning Distillation in Large Language Models](https://arxiv.org/abs/2607.14552) *— 2026 · arXiv:2607.14552*
7. [Answering the Wrong Question: Reasoning Trace Inversion for Abstention in LLMs](https://aclanthology.org/2026.acl-long.608/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
8. [BIRD: Distilling Decision Boundaries into Rationales for MLLM Adaptation](https://arxiv.org/abs/2609.33713) *— 2026 · arXiv:2609.33713*
9. [Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training](https://arxiv.org/abs/2605.12483) *— 2026 · arXiv:2605.12483*
10. [Beyond MCQ: An Open-Ended Arabic Cultural QA Benchmark with Dialect Variants](https://aclanthology.org/2026.lrec-1.408/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
11. [Beyond Outcome Verification: Verifiable Process Reward Models for Structured Reasoning](https://aclanthology.org/2026.findings-acl.1611/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
12. [Beyond Rejection Sampling: Trajectory Fusion for Scaling Mathematical Reasoning](https://aclanthology.org/2026.findings-acl.390/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
13. [CLARO: Controlled Attribute-Driven Reasoning Optimization for Efficient Chain-of-Thought](https://aclanthology.org/2026.findings-acl.1335/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
14. [CROP: Token-Efficient Reasoning in Large Language Models via Regularized Prompt Optimization](https://arxiv.org/abs/2604.14214) *— 2026 · arXiv:2604.14214*
15. [Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and Safety](https://md.research.elamur.ai/free/en/papers/shen-2026-children-s-english-reading-story/) *— our card · 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
16. [Claim Verification in the Age of Large Language Models: A Survey](https://aclanthology.org/2026.acl-srw.2/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
17. [Counteracting the Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing](https://aclanthology.org/2026.acl-long.1010/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [Crossing the Reward Bridge: Expanding Reinforcement Learning with Verifiable Rewards Across Diverse Domains](https://aclanthology.org/2026.acl-long.178/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models](https://arxiv.org/abs/2608.06243) *— 2026 · arXiv:2608.06243*
20. [DGPO: Beyond Pairwise Preferences with Directional Consistent Groupwise Optimization](https://aclanthology.org/2026.findings-acl.1963/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
21. [Data-Centric Perspectives on Agentic Retrieval-Augmented Generation: A Survey](https://aclanthology.org/2026.findings-acl.78/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
22. [Disagreement-Driven Joint Refinement of Retrieval and Decision Rules for Imbalanced Counseling Risk Classification](https://aclanthology.org/2026.clinicalnlp-1.32/) *— 2026 · Proceedings of the 8th Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2026*
23. [Discovering and Causally Validating Emotion-Sensitive Neurons in Large Audio-Language Models](https://aclanthology.org/2026.acl-long.687/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
24. [Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory](https://aclanthology.org/2026.eacl-long.333/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
25. [Efficient Reasoning Distillation: Small Video-Language Models via Synthetic CoT and Difficulty-Aware Fine-Tuning](https://arxiv.org/abs/2609.16255) *— 2026 · arXiv:2609.16255 · MultiMedia Modeling (MMM 2026), Lecture Notes in Computer Science, vol. 16412, pp. 567-580, Springer, Singapore, 2026*
26. [Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks](https://aclanthology.org/2026.acl-long.1910/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
27. [Empowering Multi-Turn Tool-Integrated Agentic Reasoning with Group Turn Policy Optimization](https://aclanthology.org/2026.acl-long.1962/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
28. [Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning](https://aclanthology.org/2026.eacl-long.97/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
29. [Entropy-Aware Reshaping of Reinforcement Signals for Multi-Answer Reasoning](https://aclanthology.org/2026.findings-acl.2001/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
30. [EpiCaR: Knowing What You Don”t Know Matters for Better Reasoning in LLMs](https://aclanthology.org/2026.acl-long.1026/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [Evaluating Multi-Hop Reasoning in Large Language Models: A Chemistry-Centric Benchmark](https://aclanthology.org/2026.findings-eacl.322/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
32. [EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning for LLMs](https://aclanthology.org/2026.findings-acl.1031/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
33. [EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery](https://arxiv.org/abs/2603.08127) *— 2026 · arXiv:2603.08127*
34. [FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models](https://aclanthology.org/2026.acl-long.2147/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [Formalize Once, Edit the Rest: Efficient Lean-Based Answer Selection for Math Reasoning](https://arxiv.org/abs/2606.15972) *— 2026 · arXiv:2606.15972*
36. [From Belief Entrenchment to Robust Reasoning in LLM Agents](https://aclanthology.org/2026.tacl-1.58/) *— 2026 · Transactions of the Association for Computational Linguistics*
37. [From Scoring to Acting: Outcome-Verified Comparative Self-Distillation for LLM Agents](https://arxiv.org/abs/2607.27937) *— 2026 · arXiv:2607.27937*
38. [From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier](https://arxiv.org/abs/2607.07779) *— 2026 · arXiv:2607.07779*
39. [GRITHopper: Decomposition-Free Multi-Hop Dense Retrieval](https://aclanthology.org/2026.eacl-long.5/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
40. [GoT-R1: Internalizing Graph-of-Thought via Structural Reinforcement for High-Density Reasoning](https://aclanthology.org/2026.findings-acl.352/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
41. [Gold-Guided Programmatic Distillation for Financial Reasoning over Hybrid Tables and Text](https://arxiv.org/abs/2607.14709) *— 2026 · arXiv:2607.14709*
42. [Group Distributionally Robust Optimization-Driven Reinforcement Learning for LLM Reasoning](https://arxiv.org/abs/2601.19280) *— 2026 · arXiv:2601.19280*
43. [How Long Reasoning Chains Influence LLMs' Judgment of Answer Factuality](https://aclanthology.org/2026.acl-long.2082/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [How Much Thinking is Enough? Quantifying and Understanding Redundancy in LLM Reasoning](https://arxiv.org/abs/2605.23926) *— 2026 · arXiv:2605.23926*
45. [ISM:Self-Improving Strategy Memory for Continual Mathematical Reasoning](https://arxiv.org/abs/2606.31191) *— 2026 · arXiv:2606.31191*
46. [Immediate Inference: The Missing Foundation in Large Language Model Logical Reasoning](https://aclanthology.org/2026.acl-long.808/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
47. [K-OPSD: Verifiable On-Policy Self-Distillation for Post-Training Vision-Language Models on AEC Drawings](https://arxiv.org/abs/2609.34082) *— 2026 · arXiv:2609.34082*
48. [KACE: Knowledge-Adaptive Context Engineering for Mathematical Reasoning](https://arxiv.org/abs/2606.00532) *— 2026 · arXiv:2606.00532*
49. [Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty](https://aclanthology.org/2026.eacl-long.291/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
50. [Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization](https://aclanthology.org/2026.acl-long.1370/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
51. [Llamion Technical Report](https://arxiv.org/abs/2605.25676) *— 2026 · arXiv:2605.25676*
52. [Long-Chain Reasoning Distillation via Adaptive Prefix Alignment](https://aclanthology.org/2026.acl-long.822/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
53. [MIRAGE: Multi-Perspective Creative Language Model Reasoning with Reinforcement Learning Guidance](https://arxiv.org/abs/2609.21554) *— 2026 · arXiv:2609.21554*
54. [MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier](https://arxiv.org/abs/2603.03756) *— 2026 · arXiv:2603.03756*
55. [NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons](https://aclanthology.org/2026.acl-long.1033/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
56. [OPSRD: On-Policy Self-Role Distillation](https://arxiv.org/abs/2609.39884) *— 2026 · arXiv:2609.39884*
57. [On-Policy Context Distillation for Language Models](https://arxiv.org/abs/2602.12275) *— 2026 · arXiv:2602.12275*
58. [On-Policy Self-Distillation without Any Supervision](https://arxiv.org/abs/2608.06296) *— 2026 · arXiv:2608.06296*
59. [Overcoming Scaling Limits in On-Policy Self-Distillation for LLM Reasoning](https://arxiv.org/abs/2609.37915) *— 2026 · arXiv:2609.37915*
60. [PHF: Privileged Hidden Flow for On-Policy Self-Distillation](https://arxiv.org/abs/2606.29340) *— 2026 · arXiv:2606.29340*
61. [Powering Verifiable Learning via Automated Evolutionary Data Synthesis](https://aclanthology.org/2026.acl-long.1099/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
62. [Prime Agent: A Self-Improving RLM Harness](https://arxiv.org/abs/2608.23552) *— 2026 · arXiv:2608.23552*
63. [Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning](https://aclanthology.org/2026.acl-long.1141/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
64. [RAVR: Reference-Answer-guided Variational Reasoning for Large Language Models](https://aclanthology.org/2026.findings-acl.936/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
65. [ReMedi: Reasoner for Medical Clinical Prediction](https://aclanthology.org/2026.findings-acl.1011/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
66. [ReasMark: A Robust Watermark for Attributing LLM Reasoning Under Knowledge Distillation Attacks](https://aclanthology.org/2026.acl-long.2185/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
67. [Reason in Chains, Learn in Trees: Self-Rectification and Grafting for Multi-turn Agent Policy Optimization](https://aclanthology.org/2026.findings-acl.229/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
68. [Recursive Self-Improvement via On-Policy Distillation for Reasoning](https://arxiv.org/abs/2609.30652) *— 2026 · arXiv:2609.30652*
69. [Reinforcement Learning via Self-Distillation](https://arxiv.org/abs/2601.20802) *— 2026 · arXiv:2601.20802*
70. [Rethinking RL Evaluation: Can Benchmarks Truly Reveal Failures of RL Methods?](https://aclanthology.org/2026.findings-acl.769/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
71. [Rethinking RL for LLM Reasoning: It”s Sparse Policy Selection, Not Capability Learning](https://arxiv.org/abs/2605.06241) *— 2026 · arXiv:2605.06241*
72. [Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection](https://aclanthology.org/2026.acl-long.1498/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
73. [SIA: Self Improving AI with Harness & Weight Updates](https://arxiv.org/abs/2605.27276) *— 2026 · arXiv:2605.27276*
74. [SWE-Swiss: A Multi-Task Fine-Tuning and RL Recipe for High-Performance Issue Resolution](https://aclanthology.org/2026.findings-acl.790/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
75. [Scaling LLM Reasoning from Minimal Labels: A Semi-Supervised Framework with a Lightweight Verifier](https://aclanthology.org/2026.lrec-1.487/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
76. [Scaling Novel Graph Generation via Lightweight Structure-Guided Autoregressive Models](https://arxiv.org/abs/2606.04287) *— 2026 · arXiv:2606.04287*
77. [Self-Consistency from Only Two Samples: CoT–PoT Ensembling for Efficient LLM Reasoning](https://aclanthology.org/2026.findings-acl.1642/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
78. [Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTS](https://aclanthology.org/2026.findings-acl.1052/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
79. [Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models](https://arxiv.org/abs/2601.18734) *— 2026 · arXiv:2601.18734*
80. [Self-Review Reinforcement Learning (SRRL) with Cross-Episode Memory and Policy Distillation](https://arxiv.org/abs/2607.05541) *— 2026 · arXiv:2607.05541*
81. [Self-Verified Distillation: Your Language Model Is Secretly Its Own Synthetic Data Pipeline](https://arxiv.org/abs/2605.26132) *— 2026 · arXiv:2605.26132*
82. [SignalReasoner: Assessing the Upper Bound of 3B Models for Signal Mathematical Reasoning](https://arxiv.org/abs/2608.17301) *— 2026 · arXiv:2608.17301*
83. [Skill-Conditioned Gated Self-Distillation for LLM Reasoning](https://arxiv.org/abs/2605.28791) *— 2026 · arXiv:2605.28791*
84. [Solve-Detect-Verify: Inference-Time Scaling with Flexible Generative Verifier](https://aclanthology.org/2026.acl-long.2190/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
85. [Solver-Independent Automated Problem Formulation via LLMs for High-Cost Simulation-Driven Design](https://aclanthology.org/2026.findings-acl.102/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
86. [SpeakRL: Synergizing Reasoning, Speaking, and Acting in Language Models with Reinforcement Learning](https://aclanthology.org/2026.iwsds-1.32/) *— 2026 · Proceedings of the 16th International Workshop on Spoken Dialogue System Technology*
87. [Strategy Executability in Mathematical Reasoning: Leveraging Human-Model Differences for Effective Guidance](https://arxiv.org/abs/2602.22583) *— 2026 · arXiv:2602.22583*
88. [Structural Rationale Distillation via Reasoning Space Compression](https://arxiv.org/abs/2605.07139) *— 2026 · arXiv:2605.07139*
89. [SynthAgent: Adapting Web Agents with Synthetic Supervision](https://aclanthology.org/2026.acl-long.716/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
90. [TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy Optimization](https://aclanthology.org/2026.acl-long.2210/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
91. [TREK: Distill to Explore, Reinforce to Refine](https://arxiv.org/abs/2607.05339) *— 2026 · arXiv:2607.05339*
92. [TT-SI: Self-Improving LLM Agents with Test-Time Training](https://aclanthology.org/2026.findings-acl.462/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
93. [TURTLEAI: Benchmarking Multimodal Models for Visual Programming in Turtle Graphics](https://aclanthology.org/2026.findings-acl.334/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
94. [Tailoring Teaching to Aptitude: Direction-Adaptive Self-Distillation for LLM Reasoning](https://arxiv.org/abs/2605.22263) *— 2026 · arXiv:2605.22263*
95. [Teacher-Free Self-Training Amplifies but Does Not Compound: A Pass@$K$ Crossover on a Free-Verifier Domain](https://arxiv.org/abs/2606.07856) *— 2026 · arXiv:2606.07856*
96. [Test-Time Reasoners Are Strategic Multiple-Choice Test-Takers](https://aclanthology.org/2026.acl-short.23/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
97. [The Best of Both Worlds: Combining Parallel and Sequential Inference Scaling via Aggregation Fine-Tuning](https://aclanthology.org/2026.findings-acl.1568/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
98. [The Hitchhiker”s Guide to Agentic AI: From Foundations to Systems](https://arxiv.org/abs/2606.24937) *— 2026 · arXiv:2606.24937*
99. [The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAG](https://aclanthology.org/2026.acl-long.1478/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
100. [Thinking Beyond the Local: Multi-View Instructed Adaptive Reasoning in KG-Enhanced LLMs](https://aclanthology.org/2026.findings-eacl.325/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/zelikman-2022-star-bootstrapping-reasoning-reasoning/cited-by/page/2/) · … · [6](https://md.research.elamur.ai/free/en/papers/zelikman-2022-star-bootstrapping-reasoning-reasoning/cited-by/page/6/)