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Paper Citation Record · LEDGER

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

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 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 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:36:01.017092Z

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
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  • 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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T19:19:36.427337Z digest=sha256:8819b3dcd295d23e202259ae53065ed64d64179b971b3a40bcfde812461bed0c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-18T00:02:24.352947Z digest=sha256:8bfc604e8c6e878077839957967cf229312afa3982b5d91d04f8457e202d711f

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.

source=arxiv_source observed=2026-08-04T12:52:27.078151Z digest=sha256:32904e080e5f70dd863cbe4d28bf23becd6d399547f6fe0dd8dd86b72e9a8382

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T02:04:46.559881Z digest=sha256:34f2833e13297a0673be3341f16d95a9b51b0f0349a08982b005a3340c7fff8c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T10:38:09.875786Z digest=sha256:bf6d3e86bd691dd5d9e714f07a6eb653d84fea0ba228f52851a5aa520c12cfdf

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T11:27:28.245835Z digest=sha256:8374badb028173c31d345845008645e738e3884066d594620ae9db99798451cf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T05:24:00.503836Z digest=sha256:9475c4bceaf384414bdabd60879d4944efc846b85936eacf397a72dd7d3bd074

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T06:30:09.945371Z digest=sha256:16d69a9c335e84075f08b628a2756845d4952fa98c2fdb8285248aaa9e6fcafd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T03:12:19.414358Z digest=sha256:58758dfb2063500787a9cf49caf5a3700cee1a5051d47805c003d4d1e3c968e1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T16:58:41.558250Z digest=sha256:a21af239bb5a92b3ad875c1bd60beadd7b34800ee9bd8eb89f167f673de2aeb8

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T19:15:27.406778Z digest=sha256:5a9d76549e63910efb76ff71f43ebeaf772d1f2358d1254f01e14cfa2c4b86b3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T15:40:56.527868Z digest=sha256:9f1a9b3f41715ff1dd3548556e3ab0f6380aac5a129bb1edc2faecedc5c7921c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T02:10:40.020460Z digest=sha256:92094f5f52ff9e00dac6c66d954c2de4a57ad2a0777b657d2e769c6c8d0db9a6

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-13T05:27:37.521421Z digest=sha256:72bbfd4555f23ed3d9d300eb932ab2908a6badf20bad5487bf08a2c925224082

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T07:31:23.194325Z digest=sha256:b86261507be9ccea601142f825f0ba8d3f47b310a62f7b6c5479679c0ad278ab

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T17:38:50.313305Z digest=sha256:824a88839789e687ed0507a62d61c00e2357f831bd8f8368a706451f8729f631

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T01:13:11.483599Z digest=sha256:43e1779002776f3e70cffee269a4450bedc7a6967918cfaafefd62e973661cfe

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T12:15:08.304150Z digest=sha256:be195d23510532295743ec347c07bc6e23bfc79200ce66a1793fcd6a8a1fb474

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-25T21:29:40.564852Z digest=sha256:a80ebf36076d64017318dc95a32e0a5ca228d827c2ff696f70bbe1e5e3db9946

Observation 4ecadc22-68e6-4932-8c2f-95fbb06ea81b · 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 2026-07-01T06:35:29.588869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-01T06:33:45.824727Z digest=sha256:ee18017d3116dd9f200b34d25e0a366b075fd90c944873bff1557c184126bb3b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-25T20:53:10.016447Z digest=sha256:180de8d0ce076762440d88f965cb3903edb94b82270f060299509dbae173757a

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.

source=arxiv_source observed=2026-08-01T22:51:01.946686Z digest=sha256:f7a6da44dbf301cd474710faed8bd6f145d18bfb45237ab126d19d54545151e4

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.

source=pdf_text observed=2026-08-01T18:39:39.765212Z digest=sha256:d6a2ae62924936ab316fa00135fdda27237a506b063b7a09b974ac673590c166

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.

source=arxiv_source observed=2026-08-01T12:54:25.027123Z digest=sha256:5d6f6493e778fa26b488327540ee2f7b3f4705ce4f9b3b55851d5128b288f3b6

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.

source=arxiv_source observed=2026-08-04T13:44:42.721995Z digest=sha256:024867699713d68e5693942ee782ad6f7243f1d7305cf7a73ca5919b0243aaae

Observation 3c826a07-a80f-46a4-b267-3abea1d0865e · inbound

Multi-Branch Policy Optimization for Multimodal Large Language Models cites this paper.

Multi-Branch Policy Optimization for Multimodal Large Language Models TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T00:36:01.017092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:36:01.017092Z digest=sha256:ae7d8ce8116060223b1c4c30048d209743780b469e89f529f0b0a14407262564