Paper Citation Record · LEDGER

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search

As of 7 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 16 inbound Pith citation observations for arXiv:2506.11902.

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

pith.paper-citation-record.v1
2506.11902 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:08:25.628815Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:04:01.975680Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T12:15:01.137692Z

Reference resolution

49 of 49 outbound references displayed

verified exact0
verified fuzzy1
unresolved48
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f9000ba0-c45d-4c5e-bc4e-749e5da8624e · outbound

This paper cites GPT-4 Technical Report.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:20.099844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35c08fa4-6399-477d-bc3e-b7597da039ab · outbound

This paper cites an unresolved cited work.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T01:08:28.054101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 548c0e0d-4b53-40d9-8dc8-97d8b7c4fd0f · outbound

This paper cites an unresolved cited work.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:20.268467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37859dfb-bf4d-40f2-b6a5-eede338bbcf6 · outbound

This paper cites AlphaMath Almost Zero: Process Supervision without Process.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search AlphaMath Almost Zero: Process Supervision without Process

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:20.439050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0474d1d2-34ee-482b-892b-0c3854886c24 · outbound

This paper cites an unresolved cited work.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T01:08:27.863940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d0808632-c636-405e-bf7f-551e4a35ad44 · outbound

This paper cites The Llama 3 Herd of Models.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search The Llama 3 Herd of Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:20.672429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c54a79fa-7e5e-42a8-85a3-f7797b28d389 · outbound

This paper cites Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:20.750335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7d0511f-bc7d-4b3f-9910-c310f4ad58b5 · outbound

This paper cites Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:20.862537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 108809f1-b85c-46a5-b31e-70b41564c3ba · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:21.018108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db28df58-6259-4ddf-81cc-9f7145447025 · outbound

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

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:21.132363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59be97ce-94dc-4111-8a38-12fe2946a9f4 · outbound

This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:21.246828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e23d2773-23fa-4156-87aa-225ec2af809b · outbound

This paper cites Measuring Massive Multitask Language Understanding.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Measuring Massive Multitask Language Understanding

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:21.368779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a69b891-6729-46bb-b446-d107a225d97c · outbound

This paper cites an unresolved cited work.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:21.489039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3abbd6aa-3f04-4587-8587-14516d4153ce · outbound

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

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:21.609464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b173984c-824c-4026-bc23-9654b25d5a29 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:21.704002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebe55ede-7678-4f2c-8c1e-c65490ac9874 · outbound

This paper cites VinePPO: Refining Credit Assignment in RL Training of LLMs.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search VinePPO: Refining Credit Assignment in RL Training of LLMs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:21.838257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a630102-fced-4a9e-8dd4-3ff21196ca73 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Gonzalez, Hao Zhang, and Ion Stoica

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:21.937967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e3ceeda-aeb0-40d4-8a56-5a201fa75cd1 · outbound

This paper cites an unresolved cited work.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T01:08:27.647972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f105cbc-8e7c-4f4e-8a0e-b94a0bd87094 · outbound

This paper cites From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:22.249034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd96f29a-1019-4ae5-b74b-1fc215bc35c9 · outbound

This paper cites Let's Verify Step by Step.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Let's Verify Step by Step

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:22.406148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3a8ffeb-dcb2-4621-ab00-4827b7660a87 · outbound

This paper cites Let's verify step by step.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Let's verify step by step

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:27.514928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 17994dfb-b49c-4538-9ba7-4905d912477d · outbound

This paper cites Large Language Model Guided Tree-of-Thought.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Large Language Model Guided Tree-of-Thought

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:22.626559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5acb4d0d-a41c-4560-b514-bfffe22778e6 · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search StarCoder 2 and The Stack v2: The Next Generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:22.745145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a1ef31d-1ec5-4bb9-be91-38cada151174 · outbound

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

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Improve Mathematical Reasoning in Language Models by Automated Process Supervision

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:22.851720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 360f76b9-4154-482c-8917-9fd6eac0f072 · outbound

This paper cites an unresolved cited work.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T01:08:27.334489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation de9385a3-4caf-4419-9694-4bcc5477f941 · outbound

This paper cites an unresolved cited work.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T01:08:27.175293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 01541c63-caf3-4805-886b-c1a41b8a9ab9 · outbound

This paper cites an unresolved cited work.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T01:08:26.901684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 68c28502-06e4-489e-a638-0b5bf15d708a · outbound

This paper cites an unresolved cited work.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-07T01:08:26.772305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e8512c18-f4aa-4c11-a56c-5ce891616b30 · outbound

This paper cites an unresolved cited work.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:23.607958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba6f07d1-6cbf-4aca-af99-7d7ed57b24b3 · outbound

This paper cites an unresolved cited work.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-07T01:08:26.643901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b2ed575e-2c68-4be3-bc27-733b2bc5dc5a · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:23.919121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d289415-6c0c-42d4-8ffd-a3037d2b62e4 · outbound

This paper cites Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:24.026164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a7f969b-4cb2-4938-ad60-c9dd3bfae858 · outbound

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

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:24.164924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8f2eee2-1bb1-44aa-bead-6ad9de2b6459 · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:24.323361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c42a747e-1287-4068-9841-9947be8584b2 · outbound

This paper cites an unresolved cited work.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-07T01:08:26.497716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cd4fc2bf-5f38-4144-b847-aa1bc12bed1f · outbound

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

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:24.493167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ecd0436-4be8-4c61-a716-91e27d955e8d · outbound

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

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Gemini: A Family of Highly Capable Multimodal Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:24.572387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6ef6b9a-dc9e-4d59-87dd-d15515afa047 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:24.708005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 536beee4-e060-470b-a045-4f6a9fec0f9d · outbound

This paper cites Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:24.775505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a76676cf-d4fe-4126-96ea-2073f65e973b · outbound

This paper cites an unresolved cited work.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-07T01:08:26.349520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f6e930f5-f5ae-4d25-b27e-4f1f5de066af · outbound

This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:24.959999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23e05b3c-5c67-4de9-af7d-a2f197b49a0f · outbound

This paper cites Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:25.027204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb7408bf-4e5e-4c70-91be-f632880a6d68 · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:25.129553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search.

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 78f5cf1a-7238-481a-aaac-6960c8b4c934 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Instruction-Following Evaluation for Large Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:25.355982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eb98aae-9e09-4c8b-a53c-e63acfe06a87 · outbound

This paper cites an unresolved cited work.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search Unresolved cited work

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:25.428290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 377648b2-6d7e-47a0-a253-9d73c9182140 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:25.510840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee4802b8-704c-4ce6-ba17-55dc5ff8dbb2 · outbound

This paper cites online" 'onlinestring :=.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search online" 'onlinestring :=

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:25.577547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5960a35-e0d5-46f2-9186-5756badda292 · outbound

This paper cites write newline.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search write newline

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:25.628815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d4741241-e8f2-4fa6-b6c2-25f2c4592963 · inbound

ETTRL: Balancing Exploration and Exploitation in LLM Test-Time Reinforcement Learning Via Entropy Mechanism cites this paper.

ETTRL: Balancing Exploration and Exploitation in LLM Test-Time Reinforcement Learning Via Entropy Mechanism TreeRL: LLM Reinforcement Learning with On-Policy Tree Search

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-05T20:04:01.975680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41286303-b7db-49f1-89ba-016153a2aaca · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models TreeRL: LLM Reinforcement Learning with On-Policy Tree Search

Reference 198

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T00:05:31.659995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 55afe15c-6588-48c6-871e-1df5cc9c14b4 · inbound

XRPO: Pushing the limits of GRPO with Targeted Exploration and Exploitation cites this paper.

XRPO: Pushing the limits of GRPO with Targeted Exploration and Exploitation TreeRL: LLM Reinforcement Learning with On-Policy Tree Search

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-04T11:11:11.329062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc205017-7caf-4ec6-b1fc-0c19b7228b78 · inbound

Tree Training: Accelerating Agentic LLMs Training via Shared Prefix Reuse cites this paper.

Tree Training: Accelerating Agentic LLMs Training via Shared Prefix Reuse TreeRL: LLM Reinforcement Learning with On-Policy Tree Search

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:05:39.076738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 223c20ca-91da-4c58-9739-b077b2209246 · inbound

ECHO: Entropy-Confidence Hybrid Optimization for Test-Time Reinforcement Learning cites this paper.

ECHO: Entropy-Confidence Hybrid Optimization for Test-Time Reinforcement Learning TreeRL: LLM Reinforcement Learning with On-Policy Tree Search

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T05:29:27.901205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f59c23a7-3b89-4b5d-97a9-95dbc550f765 · inbound

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

Your Model Diversity, Not Method, Determines Reasoning Strategy TreeRL: LLM Reinforcement Learning with On-Policy Tree Search

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:56:02.900863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 871d0549-81eb-41e7-bc1d-f3d15e446620 · inbound

Mind DeepResearch Technical Report cites this paper.

Mind DeepResearch Technical Report TreeRL: LLM Reinforcement Learning with On-Policy Tree Search

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:50:20.510822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d84b49d2-2575-42a7-b3b7-89b17e034bd9 · inbound

A$^2$TGPO: Agentic Turn-Group Policy Optimization with Adaptive Turn-level Clipping cites this paper.

A$^2$TGPO: Agentic Turn-Group Policy Optimization with Adaptive Turn-level Clipping TreeRL: LLM Reinforcement Learning with On-Policy Tree Search

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:56:08.732519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9dae7e03-dc10-483b-afb3-bfb4057ee305 · inbound

Reflective Prompted Policy Optimization: Trajectory-Grounded Revision and Salience Bias cites this paper.

Reflective Prompted Policy Optimization: Trajectory-Grounded Revision and Salience Bias TreeRL: LLM Reinforcement Learning with On-Policy Tree Search

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:41:24.001119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d66b4fc2-8352-4580-91ae-06aaccc2e7c2 · inbound

Beyond Trajectory Rewards: Step-level Credit Assignment for Agentic Search via Graph Modeling cites this paper.

Beyond Trajectory Rewards: Step-level Credit Assignment for Agentic Search via Graph Modeling TreeRL: LLM Reinforcement Learning with On-Policy Tree Search

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:14.272895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6bdbc50d-42f7-4a2e-9bfc-6124572ea550 · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation TreeRL: LLM Reinforcement Learning with On-Policy Tree Search

Reference 130

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T20:56:13.465370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 42992776-2f8f-409a-aa5d-dd9f01562b47 · inbound

Learn from Your Mistakes: Tree-like Self-Play for Secure Code LLMs cites this paper.

Learn from Your Mistakes: Tree-like Self-Play for Secure Code LLMs TreeRL: LLM Reinforcement Learning with On-Policy Tree Search

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T03:46:33.124385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 54e78ec6-2080-409f-a345-eaf32746f106 · inbound

From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning cites this paper.

From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning TreeRL: LLM Reinforcement Learning with On-Policy Tree Search

Reference 128

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:38:56.077665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0e55e482-269d-4501-83d7-1fdd41060ce4 · inbound

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning cites this paper.

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning TreeRL: LLM Reinforcement Learning with On-Policy Tree Search

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:09:40.748310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56d2bf61-7fb1-45cb-9a2a-53bbd9ab9731 · inbound

Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization cites this paper.

Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization TreeRL: LLM Reinforcement Learning with On-Policy Tree Search

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T15:59:56.473477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e6123da0-4012-48b2-8d19-fb1ac55d7222 · inbound

CompactionRL: Reinforcement Learning with Context Compaction for Long-Horizon Agents cites this paper.

CompactionRL: Reinforcement Learning with Context Compaction for Long-Horizon Agents TreeRL: LLM Reinforcement Learning with On-Policy Tree Search

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-07-07T14:03:48.459093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.