Paper Citation Record · LEDGER

TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2508.17445.

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

pith.paper-citation-record.v1
2508.17445 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:44:42.721995Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:00:08.411000Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 6e85e4c9-95eb-4636-b522-21e93dec0dec · inbound

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:21:48.770589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b5dedc86-dbeb-4988-8b31-c267152942ee · inbound

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

A Survey of Reinforcement Learning for Large Reasoning Models TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 291

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:02:24.785495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 22201236-da65-4a03-9c75-7c4e2ebdd27b · inbound

Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning cites this paper.

Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T12:52:27.078151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8880798-37da-44a6-9a62-48596e83e9bc · inbound

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

Tree Training: Accelerating Agentic LLMs Training via Shared Prefix Reuse TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T02:05:39.041530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dfc14eb6-8026-4391-ba5f-de4300779ffe · inbound

On the Overscaling Curse of Parallel Thinking: System Efficacy Contradicts Sample Efficiency cites this paper.

On the Overscaling Curse of Parallel Thinking: System Efficacy Contradicts Sample Efficiency TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:40:51.390284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2f3b64a6-9fd2-43a0-8be4-fa6899118e7c · inbound

MARS$^2$: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation cites this paper.

MARS$^2$: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:30:18.857836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 92c7244c-7220-47d0-971d-44ce66a8e495 · inbound

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence cites this paper.

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:25:54.691361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1649c2d8-7890-4b00-94aa-ccdd4798102d · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:21:29.886915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 747d6ebb-d3ee-4917-93d5-e6774cf4a896 · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:11:16.852527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f8863bac-0668-4a09-84a7-0acb625f2df0 · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:02:40.820037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1acda47f-3864-43ec-8e71-e8f981bbeee4 · inbound

Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning cites this paper.

Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:15:48.949626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3ac7030b-4d37-4549-9f82-002235bb6dec · inbound

Tree-based Credit Assignment for Multi-Agent Memory System cites this paper.

Tree-based Credit Assignment for Multi-Agent Memory System TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:31:13.285878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 50b649c1-6e75-4318-9f10-f13359b616de · inbound

Confidence-Aware Alignment Makes Reasoning LLMs More Reliable cites this paper.

Confidence-Aware Alignment Makes Reasoning LLMs More Reliable TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:53.918569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a9ae4831-4b5b-4f29-a2a6-f36d7dab1cf8 · inbound

StepCodeReasoner: Aligning Code Reasoning with Stepwise Execution Traces via Reinforcement Learning cites this paper.

StepCodeReasoner: Aligning Code Reasoning with Stepwise Execution Traces via Reinforcement Learning TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 78

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:32:20.215302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4e57ca9d-bf71-4157-9800-7d59dd00135d · inbound

When to Stop Reusing: Dynamic Gradient Gating for Sample-Efficient RLVR cites this paper.

When to Stop Reusing: Dynamic Gradient Gating for Sample-Efficient RLVR TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:33:07.359051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d7ea33ff-bead-4edc-88cc-e6aaa813b95e · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 137

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T20:46:14.304253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fedcaa51-2c99-452b-bd1a-73b58a5ec6ec · 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 TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 154

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:38:56.045174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 26158168-54cf-450a-91a7-ab672c20e535 · 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 TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 109

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:09:40.522503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8b3c164f-9214-446d-b6ae-aea487e3649a · inbound

Efficient and Trainable Language Model Test-Time Scaling via Local Branch Routing cites this paper.

Efficient and Trainable Language Model Test-Time Scaling via Local Branch Routing TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:20:06.683195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4ecadc22-68e6-4932-8c2f-95fbb06ea81b · inbound

Efficient and Trainable Language Model Test-Time Scaling via Local Branch Routing cites this paper.

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-01T06:35:29.588869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e7b180d2-1e1e-452d-9600-1f82833cda0d · inbound

Learning with a Single Rollout via Monte Carlo Pass@k Critic cites this paper.

Learning with a Single Rollout via Monte Carlo Pass@k Critic TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:00:08.412752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fc1243b5-7dda-455d-a4a6-c4b49a9be0ef · inbound

Process Reward Informed Tree Rollout for Effective Multi-Turn RL cites this paper.

Process Reward Informed Tree Rollout for Effective Multi-Turn RL TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T22:51:01.946686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d2a8488-18fd-4831-9eac-02fb84f50a6f · inbound

Distilled Reinforcement Learning for LLM Post-training cites this paper.

Distilled Reinforcement Learning for LLM Post-training TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:39.765212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76a670ab-125a-49ab-bcf2-60f6d7ef615a · inbound

Off-Context GRPO: Learning to Reason on Hard Problems using Privileged Information cites this paper.

Off-Context GRPO: Learning to Reason on Hard Problems using Privileged Information TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T12:54:25.027123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f465618d-2642-4c03-99f4-85b6e8c5f630 · inbound

Beyond the Mean: Multi-Moment Policy Optimization for LLM Reasoning cites this paper.

Beyond the Mean: Multi-Moment Policy Optimization for LLM Reasoning TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T13:44:42.721995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.