Chained Recursive Language Models for Multi-Iteration Reasoning | Paper Citation Record

Observation 737f6840-d2ec-43dd-a857-a0ca3be9f53b · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Chained Recursive Language Models for Multi-Iteration Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 1

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Observation 759eb8bb-33e0-4479-9228-5485f17e266b · outbound

This paper cites Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning.

Chained Recursive Language Models for Multi-Iteration Reasoning Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning

Reference 2

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Observation 0a70cbe9-9b52-4f1b-8916-9ca7f7c6f9b6 · outbound

This paper cites arXiv preprint arXiv:2503.06692 , year=.

Chained Recursive Language Models for Multi-Iteration Reasoning arXiv preprint arXiv:2503.06692 , year=

Reference 3

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Observation 28cdc79b-ece3-4c8e-8b47-9b26625ce920 · outbound

This paper cites Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking.

Chained Recursive Language Models for Multi-Iteration Reasoning Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking

Reference 4

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Observation a95fed0d-e460-44bb-847c-e416f22ac0de · outbound

This paper cites Is Depth All You Need? An Exploration of Iterative Reasoning in LLMs.

Chained Recursive Language Models for Multi-Iteration Reasoning Is Depth All You Need? An Exploration of Iterative Reasoning in LLMs

Reference 5

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Observation f7674e92-eec6-4e79-b192-36a5a2754d15 · outbound

This paper cites Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use.

Chained Recursive Language Models for Multi-Iteration Reasoning Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use

Reference 6

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Observation 5c8ab0b2-ed54-4b69-9ebc-236fc3a34f0b · outbound

This paper cites Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models.

Chained Recursive Language Models for Multi-Iteration Reasoning Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models

Reference 7

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Observation 92709acd-b478-4318-8312-9c223723043e · outbound

This paper cites Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.

Chained Recursive Language Models for Multi-Iteration Reasoning Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 8

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Observation fab47b99-eb06-4042-9a9f-a6d276321fa5 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Chained Recursive Language Models for Multi-Iteration Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 9

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Observation 18da242d-86aa-43ef-80fa-fbb19d1ce756 · outbound

This paper cites s1: Simple test-time scaling.

Chained Recursive Language Models for Multi-Iteration Reasoning s1: Simple test-time scaling

Reference 10

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Observation 2861797a-ba91-4221-b39d-46f6ceeb66f0 · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

Chained Recursive Language Models for Multi-Iteration Reasoning Lost in the Middle: How Language Models Use Long Contexts

Reference 11

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Observation 0369d74d-778a-4bfa-b08f-aa5751ee14a8 · outbound

This paper cites Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention.

Chained Recursive Language Models for Multi-Iteration Reasoning Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

Reference 12

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Observation 1c8edcd2-3a40-4889-88ca-9df843a60d1a · outbound

This paper cites Advances in neural information processing systems , volume=.

Chained Recursive Language Models for Multi-Iteration Reasoning Advances in neural information processing systems , volume=

Reference 13

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Observation 6810cae0-d7d9-4b30-85f4-daa9daceb183 · outbound

This paper cites Infinite Retrieval: Attention Enhanced LLMs in Long-Context Processing.

Chained Recursive Language Models for Multi-Iteration Reasoning Infinite Retrieval: Attention Enhanced LLMs in Long-Context Processing

Reference 14

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Observation 6d85d4cd-a76c-4f89-9272-a79fe5c647ec · outbound

This paper cites Advances in neural information processing systems , volume=.

Chained Recursive Language Models for Multi-Iteration Reasoning Advances in neural information processing systems , volume=

Reference 15

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Observation 0d5fba01-f539-49c5-bb77-0ff2e354f696 · outbound

This paper cites Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Multi-Turn Reinforcement Learning.

Chained Recursive Language Models for Multi-Iteration Reasoning Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Multi-Turn Reinforcement Learning

Reference 16

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Observation 44d892b0-0fe0-41f5-bf3f-e4fbb8120606 · outbound

This paper cites Mixture-of-Agents Enhances Large Language Model Capabilities.

Chained Recursive Language Models for Multi-Iteration Reasoning Mixture-of-Agents Enhances Large Language Model Capabilities

Reference 17

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Observation eb714716-de51-402f-a343-7b548a63a031 · outbound

This paper cites Distributed Mixture-of-Agents for Edge Inference with Large Language Models.

Chained Recursive Language Models for Multi-Iteration Reasoning Distributed Mixture-of-Agents for Edge Inference with Large Language Models

Reference 18

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Observation 3a2e497b-4c72-45d3-bb6f-94f52bc52189 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Chained Recursive Language Models for Multi-Iteration Reasoning Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 19

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Observation b937e26d-8a91-488b-83d5-95977cfe4475 · outbound

This paper cites OpenAI o1 System Card.

Chained Recursive Language Models for Multi-Iteration Reasoning OpenAI o1 System Card

Reference 20

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Observation 25dc0c63-e083-4c0f-b457-a0fa57b5361b · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Chained Recursive Language Models for Multi-Iteration Reasoning Gemini: A Family of Highly Capable Multimodal Models

Reference 21

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Observation a0c45d9e-a497-4f10-807c-d91dc0646151 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Chained Recursive Language Models for Multi-Iteration Reasoning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 22

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Observation fe2f7c69-da22-4228-be16-e09dc7f046a2 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Chained Recursive Language Models for Multi-Iteration Reasoning The Twelfth International Conference on Learning Representations , year=

Reference 23

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Observation cee319e6-05bf-4131-85cb-7b17922f6dcb · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Chained Recursive Language Models for Multi-Iteration Reasoning Training Verifiers to Solve Math Word Problems

Reference 24

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Chained Recursive Language Models for Multi-Iteration Reasoning Unresolved cited work

Reference 25

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Observation be17cbfe-0683-41fe-8a38-43b442099c7f · outbound

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Chained Recursive Language Models for Multi-Iteration Reasoning Unresolved cited work

Reference 26

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Observation 5b992752-2dba-45e9-8ecd-bafe48547af8 · outbound

This paper cites Hugging Face repository , volume=.

Chained Recursive Language Models for Multi-Iteration Reasoning Hugging Face repository , volume=

Reference 27

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Observation c883fa17-c793-4a86-b1cd-c2f04999ba07 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Chained Recursive Language Models for Multi-Iteration Reasoning Evaluating Large Language Models Trained on Code

Reference 28

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Chained Recursive Language Models for Multi-Iteration Reasoning , author=

Reference 29

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Observation cfb6be75-6a08-4b86-8c6d-d723df06f34e · outbound

This paper cites SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents.

Chained Recursive Language Models for Multi-Iteration Reasoning SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents

Reference 30

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Observation 41f6081d-1b0e-410a-a46f-139c9448904b · outbound

This paper cites Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?.

Chained Recursive Language Models for Multi-Iteration Reasoning Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?

Reference 31

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Observation 05837a97-f0f1-4876-babe-8883dd567618 · outbound

This paper cites GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning.

Chained Recursive Language Models for Multi-Iteration Reasoning GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

Reference 32

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Observation 5f3797c4-0073-47b3-a2f1-8f728bd24a82 · outbound

This paper cites DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning Models.

Chained Recursive Language Models for Multi-Iteration Reasoning DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning Models

Reference 33

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Observation 3422ee3e-68ac-4d9c-b896-90f5233bf2fa · outbound

This paper cites Reasoning with Sampling: Your Base Model is Smarter Than You Think.

Chained Recursive Language Models for Multi-Iteration Reasoning Reasoning with Sampling: Your Base Model is Smarter Than You Think

Reference 34

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This paper cites Distilling the Knowledge in a Neural Network.

Chained Recursive Language Models for Multi-Iteration Reasoning Distilling the Knowledge in a Neural Network

Reference 35

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Chained Recursive Language Models for Multi-Iteration Reasoning The twelfth international conference on learning representations , year=

Reference 36

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This paper cites Thinking Machines Lab: Connectionism , year =.

Chained Recursive Language Models for Multi-Iteration Reasoning Thinking Machines Lab: Connectionism , year =

Reference 37

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Chained Recursive Language Models for Multi-Iteration Reasoning Proceedings of the 2024 conference on empirical methods in natural language processing , pages=

Reference 38

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Observation c881b837-ffcd-4ecb-906f-22d2e63314d0 · outbound

This paper cites Incomplete Ideas (blog) , volume=.

Chained Recursive Language Models for Multi-Iteration Reasoning Incomplete Ideas (blog) , volume=

Reference 39

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This paper cites A Cookbook of Self-Supervised Learning.

Chained Recursive Language Models for Multi-Iteration Reasoning A Cookbook of Self-Supervised Learning

Reference 40

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This paper cites arXiv preprint arXiv:2509.14745 , year=.

Chained Recursive Language Models for Multi-Iteration Reasoning arXiv preprint arXiv:2509.14745 , year=

Reference 41

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Chained Recursive Language Models for Multi-Iteration Reasoning arXiv preprint arXiv:2510.12399 , year=

Reference 42

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Chained Recursive Language Models for Multi-Iteration Reasoning arXiv preprint arXiv:2507.15855 , volume=

Reference 43

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This paper cites ARC Prize 2024: Technical Report.

Chained Recursive Language Models for Multi-Iteration Reasoning ARC Prize 2024: Technical Report

Reference 44

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This paper cites arXiv preprint arXiv:2511.16072 , year=.

Chained Recursive Language Models for Multi-Iteration Reasoning arXiv preprint arXiv:2511.16072 , year=

Reference 45

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Chained Recursive Language Models for Multi-Iteration Reasoning BioRxiv , pages=

Reference 46

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Observation e89af2a8-5056-4ae4-8256-5acda431faae · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

Chained Recursive Language Models for Multi-Iteration Reasoning Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 47

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Observation d3b6823f-32bc-40d8-80c2-4e69cafdd890 · outbound

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Chained Recursive Language Models for Multi-Iteration Reasoning 2nd AI for Math Workshop@ ICML 2025 , year=

Reference 48

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Observation ffb69299-3551-4af8-a453-35fbadc83bea · outbound

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Chained Recursive Language Models for Multi-Iteration Reasoning Ieee Access , volume=

Reference 49

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Observation 9377a9aa-d07b-471f-9e3e-952bb34c2777 · outbound

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Chained Recursive Language Models for Multi-Iteration Reasoning Nature , volume=

Reference 50

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This paper cites Advances in Neural Information Processing Systems , volume=.

Chained Recursive Language Models for Multi-Iteration Reasoning Advances in Neural Information Processing Systems , volume=

Reference 51

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Observation bcdd1b14-b89a-4391-8bf8-d0ac79661f03 · outbound

This paper cites Think, Prune, Train, Improve: Scaling Reasoning without Scaling Models.

Chained Recursive Language Models for Multi-Iteration Reasoning Think, Prune, Train, Improve: Scaling Reasoning without Scaling Models

Reference 52

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This paper cites BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation.

Chained Recursive Language Models for Multi-Iteration Reasoning BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation

Reference 53

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This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

Chained Recursive Language Models for Multi-Iteration Reasoning Understanding R1-Zero-Like Training: A Critical Perspective

Reference 54

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This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Chained Recursive Language Models for Multi-Iteration Reasoning DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 55

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Chained Recursive Language Models for Multi-Iteration Reasoning Group Sequence Policy Optimization

Reference 56

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This paper cites arXiv preprint arXiv:2511.07919 , year=.

Chained Recursive Language Models for Multi-Iteration Reasoning arXiv preprint arXiv:2511.07919 , year=

Reference 57

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Observation b3c28e03-cda6-45f5-a5ba-5e77a79c70df · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Chained Recursive Language Models for Multi-Iteration Reasoning ReAct: Synergizing Reasoning and Acting in Language Models

Reference 58

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Chained Recursive Language Models for Multi-Iteration Reasoning , author=

Reference 59

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Chained Recursive Language Models for Multi-Iteration Reasoning Advances in neural information processing systems , volume=

Reference 60

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Observation 72dfeccd-a820-4daf-aec8-875f72e602c1 · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

Chained Recursive Language Models for Multi-Iteration Reasoning DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

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Chained Recursive Language Models for Multi-Iteration Reasoning Recursive Language Models

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Chained Recursive Language Models for Multi-Iteration Reasoning RULER: What's the Real Context Size of Your Long-Context Language Models?

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Chained Recursive Language Models for Multi-Iteration Reasoning arXiv preprint arXiv:2511.02817 , year=

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Chained Recursive Language Models for Multi-Iteration Reasoning Self-Consistency Improves Chain of Thought Reasoning in Language Models

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