Paper Citation Record · LEDGER

ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2406.03816.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2406.03816 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:38:50.099971Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-09T03:45:55.622776Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:01:53.041020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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.