ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search | Paper Citation Record

Observation 2d718454-7d82-4fec-81f0-200f2633fc22 · inbound

Improve Mathematical Reasoning in Language Models by Automated Process Supervision cites this paper.

Improve Mathematical Reasoning in Language Models by Automated Process Supervision ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:53:45.987128Z

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Observation 8653292a-1be5-41ef-928d-61de44463806 · inbound

Large Language Models Can Self-Improve in Long-context Reasoning cites this paper.

Large Language Models Can Self-Improve in Long-context Reasoning ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 101

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Observation 6289d1b0-481a-484b-99e3-60ccfa79acc8 · inbound

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation cites this paper.

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:29.094385Z

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Observation 834bdc76-c0b8-48e9-bf5d-50a86808bc3f · inbound

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering cites this paper.

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 153

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Observation e065f485-159f-40ea-b431-68dd1d3c3f96 · inbound

PSPO*: An Effective Process-supervised Policy Optimization for Reasoning Alignment cites this paper.

PSPO*: An Effective Process-supervised Policy Optimization for Reasoning Alignment ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 33

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Observation 4b3640ac-c4ef-4313-8320-1b7cd2f390a1 · inbound

Enhancing LLM Reasoning with Reward-guided Tree Search cites this paper.

Enhancing LLM Reasoning with Reward-guided Tree Search ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 18

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Observation 88d756a0-ec1d-41f9-bc42-cadb0297302a · inbound

Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision cites this paper.

Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 39

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Observation 5352d337-a3b6-45dc-8f9f-5af1dd93fa91 · inbound

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models cites this paper.

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T23:08:16.547714Z

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Observation 6b01f65d-f688-4e31-b814-775cf5a28ef1 · inbound

Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension cites this paper.

Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T22:18:01.727434Z

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Observation 321cbda7-ef41-4c1e-a222-db8c3246af63 · inbound

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models cites this paper.

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T14:51:18.695790Z

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Observation 19a858cb-1c7b-49a1-bf42-23ffd7a464a8 · inbound

Seed-CTS: Unleashing the Power of Tree Search for Superior Performance in Competitive Coding Tasks cites this paper.

Seed-CTS: Unleashing the Power of Tree Search for Superior Performance in Competitive Coding Tasks ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T14:02:49.098915Z

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Observation 53413c37-0369-418d-90f3-b140edbcdde2 · inbound

Progressive Multimodal Reasoning via Active Retrieval cites this paper.

Progressive Multimodal Reasoning via Active Retrieval ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 121

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Observation 44145f61-6d57-4e46-b63e-bd490181b2cc · inbound

Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation cites this paper.

Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:13.912864Z

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Observation 4615a65b-8a81-4837-b8ef-f944ea4ab645 · inbound

Language Models as Continuous Self-Evolving Data Engineers cites this paper.

Language Models as Continuous Self-Evolving Data Engineers ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.627913Z

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Observation da23cc91-d9c0-4101-9133-778167ea3036 · inbound

A Systematic Examination of Preference Learning through the Lens of Instruction-Following cites this paper.

A Systematic Examination of Preference Learning through the Lens of Instruction-Following ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 25

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Observation 7bdef6c5-b27f-42c2-b52d-610c5aedda5b · inbound

Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning cites this paper.

Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T11:08:56.611535Z

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Observation 6f2e1174-af77-4c1d-9cf2-9f6d4ef505a5 · inbound

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search cites this paper.

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T04:53:11.873185Z

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Observation e0052e1b-d013-423c-afb1-66ecb64e6ba5 · inbound

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search cites this paper.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T22:37:07.277408Z

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Observation 98c184f5-fd52-4b32-b907-79930e83b2ee · inbound

Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation cites this paper.

Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T21:42:44.174187Z

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Observation deab5b4d-2433-4df5-8191-4c55e8a57584 · inbound

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design cites this paper.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 110

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Observation fdc81c39-977f-4985-87d5-629e578dcf47 · inbound

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models cites this paper.

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 185

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:20:59.421827Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 09ecfb35-f421-46bf-b2b2-220425071ba2 · inbound

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? cites this paper.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 33

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Observation c147c86a-1c30-4cc9-bce2-c402dc638100 · inbound

T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling cites this paper.

T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T18:05:43.206830Z

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Observation 5044d472-b652-4884-99f1-01dd711cd724 · inbound

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning cites this paper.

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 16

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Observation 0e3b6c22-85b4-4e11-8a79-ed7b9756ce08 · inbound

Parameter-Efficient Fine-Tuning for Foundation Models cites this paper.

Parameter-Efficient Fine-Tuning for Foundation Models ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T15:38:02.891230Z

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Observation 73b2a888-cbde-4897-8090-6905b21c5e3a · inbound

Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step cites this paper.

Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T15:32:46.345905Z

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Observation 1bc6ab0c-4925-41b2-aa0f-7f7ec2aca181 · inbound

Locality-aware Fair Scheduling in LLM Serving cites this paper.

Locality-aware Fair Scheduling in LLM Serving ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:03.583593Z

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Observation ed1a7084-8618-462c-b28c-14a43dfe3562 · inbound

Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning cites this paper.

Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T14:15:46.160179Z

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Observation 42aaf597-5211-412e-b112-53e20c5aebc7 · inbound

On Almost Surely Safe Alignment of Large Language Models at Inference-Time cites this paper.

On Almost Surely Safe Alignment of Large Language Models at Inference-Time ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-09T16:18:40.771963Z

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Observation 1ec4b393-0e04-4406-a39f-d5adf40228bc · inbound

Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models cites this paper.

Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 16

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Observation 19cb2dbc-c86d-4fa6-aa64-4abbd030d2d6 · inbound

Holistically Guided Monte Carlo Tree Search for Intricate Information Seeking cites this paper.

Holistically Guided Monte Carlo Tree Search for Intricate Information Seeking ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T21:40:26.993871Z

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Observation 2c915cf3-30ac-4f5a-a29b-5b1223555aed · inbound

PIPA: Preference Alignment as Prior-Informed Statistical Estimation cites this paper.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.446974Z

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Observation e4199f7f-f4b0-424c-8252-8677147d40fd · inbound

On the Emergence of Thinking in LLMs I: Searching for the Right Intuition cites this paper.

On the Emergence of Thinking in LLMs I: Searching for the Right Intuition ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-08T14:25:53.635679Z

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Observation d9fb5c6d-7ef9-4cc8-9766-d999c3b3bc77 · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 172

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:36:24.208820Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation db777363-2f3f-434a-b00f-222e6d3c1778 · inbound

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization cites this paper.

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:04:22.788835Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eece3f41-da3b-462b-b495-83bc24ef556c · inbound

SplitReason: Learning To Offload Reasoning cites this paper.

SplitReason: Learning To Offload Reasoning ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 16

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Observation b8286826-da15-48d6-ad40-2d08c7019740 · inbound

Token-Efficient RL for LLM Reasoning cites this paper.

Token-Efficient RL for LLM Reasoning ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T05:24:09.328405Z

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Observation c3141de9-49b4-40cb-bd22-61bbde2108b8 · inbound

Accelerating Large Language Model Reasoning via Speculative Search cites this paper.

Accelerating Large Language Model Reasoning via Speculative Search ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:36.670733Z

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Observation 4819ef61-d895-46a2-aa92-b62eefbc383a · inbound

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering cites this paper.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 36

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Observation 5ab26c4c-3faf-40a7-a2b6-f62068ae0116 · inbound

Beyond the First Error: Process Reward Models for Reflective Mathematical Reasoning cites this paper.

Beyond the First Error: Process Reward Models for Reflective Mathematical Reasoning ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T15:38:50.099971Z

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Observation 657dc109-a0cd-412b-860d-200919d6f8d1 · inbound

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering cites this paper.

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 66

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Observation 595069d6-b431-4584-8492-333a1d28070e · inbound

Generalizing Large Language Model Usability Across Resource-Constrained cites this paper.

Generalizing Large Language Model Usability Across Resource-Constrained ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 170

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Observation 8f62cfd8-7bdb-4bc1-b40d-e42e352344dc · inbound

Fostering Video Reasoning via Next-Event Prediction cites this paper.

Fostering Video Reasoning via Next-Event Prediction ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:45.635718Z

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Observation b468fc3c-b25a-4c5b-9425-e2a8afe5b8c3 · inbound

Structured Pruning for Diverse Best-of-N Reasoning Optimization cites this paper.

Structured Pruning for Diverse Best-of-N Reasoning Optimization ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:23.724916Z

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Observation cc91fd04-9f02-4dc1-80dc-a1c9320020f8 · inbound

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning cites this paper.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:36:38.545811Z

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Observation f4a3a9e7-5c69-4fc8-bffa-56f9115de103 · inbound

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism cites this paper.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T05:09:23.240182Z

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Observation 835d2202-c34e-47ce-8dd7-cbb7280c706c · inbound

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search cites this paper.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:25.265647Z

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Observation e9bd3714-6d04-4bae-b32b-264eec0dba3e · inbound

Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs cites this paper.

Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T23:03:54.490103Z

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Observation 5be8b77b-eb10-4589-9779-57bf1ac7d3d4 · inbound

Enhancing User Engagement in Socially-Driven Dialogue through Interactive LLM Alignments cites this paper.

Enhancing User Engagement in Socially-Driven Dialogue through Interactive LLM Alignments ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:16.296100Z

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Observation 60d23114-b4cc-4d04-a3e8-356b4f0a3d6f · inbound

EduFlow: Advancing MLLMs' Problem-Solving Proficiency through Multi-Stage, Multi-Perspective Critique cites this paper.

EduFlow: Advancing MLLMs' Problem-Solving Proficiency through Multi-Stage, Multi-Perspective Critique ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T18:04:55.263407Z

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Observation d7bd3656-d3c4-4d7e-bdca-adc3cee26df6 · inbound

Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation cites this paper.

Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:28.307933Z

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Observation 4404c5fd-2fa1-423a-a3b1-419b3d1c9fc1 · inbound

Rethinking Reasoning Quality in Large Language Models through Enhanced Chain-of-Thought via RL cites this paper.

Rethinking Reasoning Quality in Large Language Models through Enhanced Chain-of-Thought via RL ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T04:42:06.478842Z

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Observation 55537287-1e32-4ea5-97b8-a6533ee96552 · inbound

Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving cites this paper.

Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T06:40:27.771393Z

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Observation 96cc5f10-7a1c-42e7-95eb-358b94a1a8c9 · inbound

Your Model Diversity, Not Method, Determines Reasoning Strategy cites this paper.

Your Model Diversity, Not Method, Determines Reasoning Strategy ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:56:02.754586Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6856d430-8a02-4ba5-a41e-b32e1038547c · inbound

PARM: Pipeline-Adapted Reward Model cites this paper.

PARM: Pipeline-Adapted Reward Model ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:28:39.512713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 77e634fa-d469-4914-96f5-b82c1ad7af7e · inbound

Self-Improvement for Fast, High-Quality Plan Generation cites this paper.

Self-Improvement for Fast, High-Quality Plan Generation ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:41:30.662509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 96f5121e-c87d-416a-abe8-776e950c0f9c · inbound

Maximizing Rollout Informativeness under a Fixed Budget: A Submodular View of Tree Search for Tool-Use Agentic Reinforcement Learning cites this paper.

Maximizing Rollout Informativeness under a Fixed Budget: A Submodular View of Tree Search for Tool-Use Agentic Reinforcement Learning ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:46:06.893478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3141565e-11ba-4c49-99e7-97baa43cf0d9 · inbound

Efficient Test-time Inference for Generative Planning Models with OCL Search cites this paper.

Efficient Test-time Inference for Generative Planning Models with OCL Search ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:52:35.134640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c8b26145-bd85-472d-ac7c-7dd1757adcc6 · inbound

Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces cites this paper.

Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:46:48.915321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fc6e7769-7fc5-47cd-a782-be6c4bdcb884 · inbound

Theoria: Rewrite-Acceptability Verification over Informal Reasoning States cites this paper.

Theoria: Rewrite-Acceptability Verification over Informal Reasoning States ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:56.432836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5ea40c1-a14f-41a6-8463-a32c16913dd9 · inbound

Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops cites this paper.

Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-07-09T03:45:55.624038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 98df491d-4780-4f9e-9cc5-a0fea5e01a3a · inbound

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp cites this paper.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-14T10:51:16.019022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02923fb9-c267-4ac0-a44d-b3571225cc57 · inbound

CIGPO: Contextual Information-Gain Policy Optimization for Multi-Turn Evidence-Reading LLM Agents cites this paper.

CIGPO: Contextual Information-Gain Policy Optimization for Multi-Turn Evidence-Reading LLM Agents ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T09:54:59.726132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76aac002-9dd0-447e-aa6e-1327ef9e72ab · inbound

LeAct: Learning to Reason from Expert Actions cites this paper.

LeAct: Learning to Reason from Expert Actions ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-01T06:32:24.768710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers