Paper Citation Record · LEDGER

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

As of 11 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 100 inbound Pith citation observations for arXiv:2504.05118.

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

pith.paper-citation-record.v1
2504.05118 v3

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T09:36:04.735688Z

measured 130 of 130 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 100 of 120 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:53.603007Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

30 of 30 outbound references displayed

verified exact15
verified fuzzy14
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 9c526576-d64f-426d-a7b5-d38ad9a8d9a7 · outbound

This paper cites Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-13T09:36:04.752542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 688ae847-41cf-4bf9-99ad-4d51fd686aa5 · outbound

This paper cites Claude 3.5 sonnet.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Claude 3.5 sonnet

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:36:04.802369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 00603395-7d44-44e1-8647-37c0f2f2a5a2 · outbound

This paper cites Language models are few-shot learners.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Language models are few-shot learners

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:36:04.794506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bd1a6830-eb40-412a-8e10-317612742d39 · outbound

This paper cites Palm: Scaling language modeling with pathways.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Palm: Scaling language modeling with pathways

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:36:04.796897Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 54bfdffd-2437-46c1-a8a4-0f7b05e304ba · outbound

This paper cites Gemini 2.0 flash thinking.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Gemini 2.0 flash thinking

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:36:04.798774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4f456f52-de83-49c3-8b8e-8e5b282cc5e4 · outbound

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

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-13T09:36:04.755391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c3c91aa5-54f2-49a9-ab0b-555645f948ee · outbound

This paper cites Fletcher.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Fletcher

Reference 7

Resolution: verified exact; doi, observed 2026-05-13T09:36:04.749395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 58a0cc0a-0bd5-45a3-82b7-ab3fd0e67920 · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T09:36:04.758229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ef616619-62d7-456f-a74b-5ad3aa7cc012 · outbound

This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-13T09:36:04.760949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a6ae724f-7245-45ab-9641-f226e6dab474 · outbound

This paper cites Buy 4 REINFORCE samples, get a baseline for free! InDeep Reinforcement Learning Meets Structured Prediction, ICLR 2019 Workshop, New Orleans, Louisiana, United States, May 6.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Buy 4 REINFORCE samples, get a baseline for free! InDeep Reinforcement Learning Meets Structured Prediction, ICLR 2019 Workshop, New Orleans, Louisiana, United States, May 6

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:36:04.808364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c5163c66-ef4e-4a53-bf4d-ca3bca05ad54 · outbound

This paper cites DeepSeek-V3 Technical Report.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks DeepSeek-V3 Technical Report

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-13T09:36:04.763589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c951f2f0-aba4-4e01-895c-8ea9ac7923d8 · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Understanding R1-Zero-Like Training: A Critical Perspective

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-13T09:36:04.766765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 921b92d7-9113-462c-8c72-13811903954b · outbound

This paper cites Real: Efficient rlhf training of large language models with parameter reallocation.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Real: Efficient rlhf training of large language models with parameter reallocation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:36:04.813996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d9a9a1f3-3173-4c61-a174-1ed47c6594cc · outbound

This paper cites Self-imitation learning.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Self-imitation learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:36:04.815540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e5138e53-2eb9-4d0b-b972-f5e073b20d05 · outbound

This paper cites GPT-4 Technical Report.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks GPT-4 Technical Report

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-13T09:36:04.769079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 58b95e6d-9afb-43e4-abdf-6665d147f98b · outbound

This paper cites Learning to reason with llms.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Learning to reason with llms

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:36:04.819038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2a726f58-9e07-4ca2-a1f1-5c8cdf11121b · outbound

This paper cites Training language models to follow instructions with human feedback.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Training language models to follow instructions with human feedback

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:36:04.800565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c9d45b4f-945e-4ffc-b1f4-9762d8a36c91 · outbound

This paper cites Training language models to follow instructions with human feedback.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Training language models to follow instructions with human feedback

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:36:04.804265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b3ead3f9-b96a-4ad2-91a3-9e7163ea00e8 · outbound

This paper cites Qwq-32b: Embracing the power of reinforcement learning.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Qwq-32b: Embracing the power of reinforcement learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:36:04.806179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cb693696-b6f7-4741-8fc1-9c4f2fab8ab0 · outbound

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

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-13T09:36:04.771754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4e99da7b-53a5-44bb-a92d-df802a851e38 · outbound

This paper cites Proximal Policy Optimization Algorithms.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Proximal Policy Optimization Algorithms

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-13T09:36:04.774430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1183393e-47ab-47b0-b3c7-9b97004be1b7 · outbound

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

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-13T09:36:04.777032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c8d13674-9209-4112-805a-b9c8a65c2ace · outbound

This paper cites Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:36:04.780461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ca9b81a1-66ca-455b-8290-ccc2cbf5ec36 · outbound

This paper cites MIT press Cambridge.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks MIT press Cambridge

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:36:04.812195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8c62f649-2b1f-405b-890a-38a3d1fd38a5 · outbound

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

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Gemini: A Family of Highly Capable Multimodal Models

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-13T09:36:04.782893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 84ff15ce-ebef-48c2-9808-cad69e8cdd71 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-13T09:36:04.786222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f214a403-d89c-41fc-b98b-d1afd8cce16a · outbound

This paper cites Chi, Quoc V.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Chi, Quoc V

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:36:04.817487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 718a07f0-e92b-4450-aa93-1978f6489625 · outbound

This paper cites Grok 3 beta — the age of reasoning agents.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Grok 3 beta — the age of reasoning agents

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T09:36:04.810518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 05d07834-058b-47ae-8bb5-ea8b5f0a98fa · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-13T09:36:04.788911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5c60ecf9-6bdd-416f-ad2c-0f8b063fc3fe · outbound

This paper cites What's Behind PPO's Collapse in Long-CoT? Value Optimization Holds the Secret.

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks What's Behind PPO's Collapse in Long-CoT? Value Optimization Holds the Secret

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:36:04.792060Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation 869bab39-fbf9-4e3b-b959-58f9c8efbeed · inbound

Reinforcement Learning from Human Feedback cites this paper.

Reinforcement Learning from Human Feedback VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 148

Resolution: verified exact; local_arxiv, observed 2026-05-22T19:32:01.334345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 60307ffc-28ad-4d7c-a06a-facc7d2a605a · inbound

Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning cites this paper.

Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-22T18:46:56.959170Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 51145a8d-48b2-44fc-a1bb-22881df61304 · inbound

ToolRL: Reward is All Tool Learning Needs cites this paper.

ToolRL: Reward is All Tool Learning Needs VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 40

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T00:26:48.575367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cee44b9b-7798-4947-ac7b-86376f501c6d · inbound

Reinforcement Learning for Reasoning in Large Language Models with One Training Example cites this paper.

Reinforcement Learning for Reasoning in Large Language Models with One Training Example VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:51:04.931329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1fdb0580-cf6d-4827-9a89-6ee24940d15b · inbound

Seed1.5-VL Technical Report cites this paper.

Seed1.5-VL Technical Report VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 171

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f78eea0f-e438-4e9a-bad1-a1df752bc050 · inbound

TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning cites this paper.

TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:53.603007Z

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Unavailable: canonical work link unavailable.

Observation aa196788-e30a-4150-803f-794700ddbea6 · inbound

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents cites this paper.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:54.812847Z

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Observation 4335d87f-8831-49c9-a802-ce15ccd97730 · inbound

R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning cites this paper.

R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:17.382981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 125f54f4-7faa-47e8-8054-6daaba203bc9 · inbound

Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective cites this paper.

Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 127

Resolution: unresolved; no resolver link, observed 2026-08-07T14:13:12.862798Z

Source-reported events for the cited work

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Observation e52cbf45-a0a6-4b75-9057-32083e2e5187 · inbound

Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles cites this paper.

Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:11:08.003933Z

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Unavailable: canonical work link unavailable.

Observation 3209e50a-0aff-4c99-8a20-2a8d9c5610d6 · inbound

Why Distillation can Outperform Zero-RL: The Role of Flexible Reasoning cites this paper.

Why Distillation can Outperform Zero-RL: The Role of Flexible Reasoning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:40.447364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0e7aab7-cfac-4690-8631-f363ae52bce6 · inbound

Skywork Open Reasoner 1 Technical Report cites this paper.

Skywork Open Reasoner 1 Technical Report VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-17T04:26:47.372535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0f4fdb04-2f99-40c7-9417-1ec1686aa36a · inbound

Decomposing Elements of Problem Solving: What "Math" Does RL Teach? cites this paper.

Decomposing Elements of Problem Solving: What "Math" Does RL Teach? VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:26.479274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fd6d89d-55ff-46da-b1b7-fae958d9c605 · inbound

AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning cites this paper.

AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-05-15T14:24:22.020162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 32d60b21-8cf9-41d5-8188-815c95221139 · inbound

Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment cites this paper.

Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T12:02:47.802104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5816efab-176e-4812-b4af-4645f840aa09 · inbound

SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis cites this paper.

SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T11:35:47.789603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1871f2f7-c535-4ef7-9dcc-a2ad22c02ed6 · inbound

Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts cites this paper.

Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:33:57.031251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f61d086a-d96b-4c33-a3fe-7d28d77515fd · inbound

Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning cites this paper.

Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-19T10:53:02.871689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 487a986d-c299-4028-900a-37dcdba052b3 · inbound

How Far Are We from Optimal Reasoning Efficiency? cites this paper.

How Far Are We from Optimal Reasoning Efficiency? VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T05:49:40.307416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e11b935-4602-4260-818a-7337de2eb813 · inbound

Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning cites this paper.

Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T05:09:45.826337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9d31dd3-77a0-4581-918f-ffdecd649ba1 · inbound

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning cites this paper.

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:24.270146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db25a27a-6821-4c88-840c-c455317f9b0e · inbound

PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier cites this paper.

PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T04:39:38.584934Z

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Observation 97bae04e-4157-4166-85dd-bbe2f8c258f4 · inbound

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning cites this paper.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:26.517415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5783c661-6638-4b03-8a33-e79151566a43 · inbound

Enhancing Large Language Models through Structured Reasoning cites this paper.

Enhancing Large Language Models through Structured Reasoning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T22:59:47.748775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70018833-dd4f-4183-901f-6204e44b044d · inbound

Do Thinking Tokens Help or Trap? Towards More Efficient Large Reasoning Model cites this paper.

Do Thinking Tokens Help or Trap? Towards More Efficient Large Reasoning Model VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:11.615470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48d27688-5e9e-45c2-a2d9-51bd55bfa345 · inbound

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy cites this paper.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:38.855807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a892dcce-a0ce-4d20-ac7f-b1ce29ef605d · inbound

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs cites this paper.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T20:43:12.002417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2d19da5-4da5-4381-9748-8ff4e7f0b63e · inbound

CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization cites this paper.

CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:21.180458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bcd14f6-b579-4a79-ae0e-9ebfb33ca07c · inbound

First Return, Entropy-Eliciting Explore cites this paper.

First Return, Entropy-Eliciting Explore VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:14.726477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6db4e52d-390b-4fe6-8ba8-7ddc2ba375ef · inbound

GHPO: Adaptive Guidance for Stable and Efficient LLM Reinforcement Learning cites this paper.

GHPO: Adaptive Guidance for Stable and Efficient LLM Reinforcement Learning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:18.637977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0815638b-df74-481c-8fa8-bdd6e337cb8d · inbound

MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization cites this paper.

MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T15:55:42.611272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3be5882a-233e-48b4-813e-08f3643fe0e1 · inbound

Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR cites this paper.

Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-21T23:24:26.245092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3f92bed6-70b5-4333-b3e0-f62e07a93083 · inbound

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges cites this paper.

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 298

Resolution: unresolved; no resolver link, observed 2026-08-06T14:13:07.341887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82ae6b57-19d1-4374-887c-9e3150957299 · inbound

Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving cites this paper.

Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T10:30:44.720568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c6ddd8e-ef9c-4744-9388-95e1c3ec7ba2 · inbound

Towards Hallucination-Free Music: A Reinforcement Learning Preference Optimization Framework for Reliable Song Generation cites this paper.

Towards Hallucination-Free Music: A Reinforcement Learning Preference Optimization Framework for Reliable Song Generation VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T23:43:05.878469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdd19e39-4745-4c4a-990f-a61fd25109b0 · inbound

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models cites this paper.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:16.807447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b3fd920-5fa4-42b9-a1d5-0eb6394bca49 · inbound

An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal cites this paper.

An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T23:25:49.975190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eda87ac-b045-4ed7-bb6f-64f75a9649b6 · inbound

InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling cites this paper.

InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-05-21T22:34:23.995667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9b3c42bb-6f90-47f4-a99a-ce216d03afba · inbound

QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewriting cites this paper.

QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewriting VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-05T17:39:28.845867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcf8172e-f661-4089-b7e5-131ca1103dfb · inbound

Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward cites this paper.

Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T12:45:41.959563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf81ad52-1075-4fd5-81a4-a154b849fd1d · inbound

DCPO: Dynamic Clipping Policy Optimization cites this paper.

DCPO: Dynamic Clipping Policy Optimization VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T11:43:29.342020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4c1acac-b9ed-4ac5-a94a-3d44a3cb00b3 · inbound

UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning cites this paper.

UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 84

Resolution: verified exact; local_arxiv, observed 2026-05-13T10:13:58.985799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b2ab2c70-a02f-4218-9207-3bb352e10aca · inbound

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

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-18T19:21:48.013620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 97bdd282-cc34-4964-b295-0a99b8da6273 · inbound

Why Does Reasoning Length Converge? Unveiling the Underfitting-Overfitting Trade-off in Chain-of-Thought cites this paper.

Why Does Reasoning Length Converge? Unveiling the Underfitting-Overfitting Trade-off in Chain-of-Thought VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T10:31:37.947268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9691f506-e6da-4df4-b0aa-c82e74f335aa · inbound

Parallel-R1: Towards Parallel Thinking via Reinforcement Learning cites this paper.

Parallel-R1: Towards Parallel Thinking via Reinforcement Learning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T21:28:50.583503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 785be2f1-8e1f-4b8f-86da-ff8b432162eb · inbound

CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models cites this paper.

CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T18:53:02.795969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b517741-e3b3-42c5-a97d-37e8906b71d3 · inbound

Multiplayer Nash Preference Optimization cites this paper.

Multiplayer Nash Preference Optimization VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-18T13:11:24.064514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation aa34e41b-b028-4c4c-87b7-ebd7c5eb4527 · inbound

When Importance Sampling Misallocates Credit: Asymmetric Ratios for Outcome-Supervised RL cites this paper.

When Importance Sampling Misallocates Credit: Asymmetric Ratios for Outcome-Supervised RL VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-21T20:30:35.546640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 77aaf1c0-0ea5-4a0e-b6c5-5f14e2f4fa33 · inbound

Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization cites this paper.

Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-04T09:48:10.988323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2216c8df-3317-471e-98f8-c4ba2496518a · inbound

The Art of Scaling Reinforcement Learning Compute for LLMs cites this paper.

The Art of Scaling Reinforcement Learning Compute for LLMs VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-16T16:29:14.058755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 80bd88de-c989-4673-bf72-378a661194e1 · inbound

Sharpness-Guided Group Relative Policy Optimization via Probability Shaping cites this paper.

Sharpness-Guided Group Relative Policy Optimization via Probability Shaping VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-18T03:12:22.335258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 894c1f32-963e-4af7-a059-60326dcbfa3a · inbound

From Ranking to Reasoning: Explainable Web API Recommendation via Semantic Reasoning cites this paper.

From Ranking to Reasoning: Explainable Web API Recommendation via Semantic Reasoning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T23:55:30.784895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 99842e8b-521f-4a83-b48a-a42e6b4d92f8 · inbound

MURPHY: Feedback-Aware GRPO with Retrospective Credit Assignment for Multi-Turn Code Generation cites this paper.

MURPHY: Feedback-Aware GRPO with Retrospective Credit Assignment for Multi-Turn Code Generation VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:15:26.734331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 11a595fe-f957-4204-b0ba-d491a1ebb9bf · inbound

Physical Plausibility Reasoning via HCM-GRPO: Empowering Compact Model for Superior Performance cites this paper.

Physical Plausibility Reasoning via HCM-GRPO: Empowering Compact Model for Superior Performance VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T22:36:11.481330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3088faac-586a-4cd9-a193-07003b081fbb · inbound

Boosting RL-Based Visual Reasoning with Selective Adversarial Entropy Intervention cites this paper.

Boosting RL-Based Visual Reasoning with Selective Adversarial Entropy Intervention VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T17:15:17.715125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42998865-32a2-4ce8-880b-7e501606d255 · inbound

Coupled Variational Reinforcement Learning for Language Model General Reasoning cites this paper.

Coupled Variational Reinforcement Learning for Language Model General Reasoning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T16:43:57.954210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90439b10-2e4c-44b2-aa78-c761068b8f09 · inbound

One Tool Is Enough: Reinforcement Learning for Repository-Level LLM Agents cites this paper.

One Tool Is Enough: Reinforcement Learning for Repository-Level LLM Agents VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T14:20:31.329087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db471f3a-97b6-40fb-bb42-ceaf9af8a6a7 · inbound

Beyond Binary: Turning Partial Success into Dense Verifiable Rewards for Reinforcement Learning in Code Generation cites this paper.

Beyond Binary: Turning Partial Success into Dense Verifiable Rewards for Reinforcement Learning in Code Generation VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T12:19:35.541027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd2c1ad8-9fa0-4e99-a721-4d17e4b3f26e · inbound

On the Non-decoupling of Supervised Fine-tuning and Reinforcement Learning in Post-training cites this paper.

On the Non-decoupling of Supervised Fine-tuning and Reinforcement Learning in Post-training VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-16T14:48:00.539725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e2bf7a88-6870-4603-8b9a-e0b6ea87f3dc · inbound

Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models cites this paper.

Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 449a277c-f700-4464-a621-dcb29aee9260 · inbound

Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models cites this paper.

Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-21T14:10:13.176606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6a2394cc-416c-43cc-b30c-24eafab51e5d · inbound

Beyond Variance: Prompt-Efficient RLVR via Rare-Event Amplification and Bidirectional Pairing cites this paper.

Beyond Variance: Prompt-Efficient RLVR via Rare-Event Amplification and Bidirectional Pairing VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-16T08:27:36.802347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 74b99aeb-af62-4ba0-bd79-f0d7da704245 · inbound

Multi-Task GRPO: Reliable LLM Reasoning Across Tasks cites this paper.

Multi-Task GRPO: Reliable LLM Reasoning Across Tasks VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-03T04:17:27.326104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e752be5-0dd7-4d4d-a87e-60e8e5562434 · inbound

rePIRL: Learn PRM with Inverse RL for LLM Reasoning cites this paper.

rePIRL: Learn PRM with Inverse RL for LLM Reasoning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-21T13:14:11.058227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 64a40906-68d9-4469-b025-1701298f15cc · inbound

rePIRL: Learn PRM with Inverse RL for LLM Reasoning cites this paper.

rePIRL: Learn PRM with Inverse RL for LLM Reasoning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T03:33:46.362138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 504cdea3-76e5-4404-92c9-143aeb7376bb · inbound

STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens cites this paper.

STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-15T21:46:43.335437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 967afb4e-8c25-4313-b5f8-b9c7aa5998f5 · inbound

STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens cites this paper.

STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T22:52:04.254957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 191891a1-b127-4f5c-8b5d-3b0e56f91998 · inbound

User Simulator-Guided Multi-Turn Preference Optimization for Reasoning LLM-based Conversational Recommendation cites this paper.

User Simulator-Guided Multi-Turn Preference Optimization for Reasoning LLM-based Conversational Recommendation VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-13T17:28:02.564997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b6a64307-21cd-4304-9cb3-6816ef54ec2d · inbound

Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning cites this paper.

Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 923793dc-5f35-49b3-a7ac-3c8654fd9e19 · inbound

Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation cites this paper.

Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 411907de-312b-4c76-bd8f-1d76d9157ba8 · inbound

Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation cites this paper.

Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 70ce5b5d-9328-4a41-bc12-fcf2b4694078 · inbound

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment cites this paper.

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5ab556cc-f1a8-437f-8ab6-23c45982a90a · inbound

GRPO-VPS: Enhancing Group Relative Policy Optimization with Verifiable Process Supervision for Effective Reasoning cites this paper.

GRPO-VPS: Enhancing Group Relative Policy Optimization with Verifiable Process Supervision for Effective Reasoning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4cdcb9db-4dd2-4cc3-9e98-8167b6bf4829 · inbound

V-tableR1: Process-Supervised Multimodal Table Reasoning with Critic-Guided Policy Optimization cites this paper.

V-tableR1: Process-Supervised Multimodal Table Reasoning with Critic-Guided Policy Optimization VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5fde5381-1677-40f0-a0dc-53384c164c73 · inbound

Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling cites this paper.

Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f0372826-3cbd-4bdf-87b8-63565a2a8406 · inbound

Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling cites this paper.

Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T15:28:14.099465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc57751a-3ffd-4720-b218-b85a0efa5b07 · inbound

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

Rethinking Agentic Reinforcement Learning In Large Language Models VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 118

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4e618c80-c0f7-44ff-88bd-3904ba08c3ca · inbound

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

Rethinking Agentic Reinforcement Learning In Large Language Models VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 118

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9d369771-597d-419a-80d7-d53f367730a9 · inbound

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

Rethinking Agentic Reinforcement Learning In Large Language Models VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 118

Resolution: verified exact; local_arxiv, observed 2026-05-19T17:02:40.646826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6b88b11e-4781-4203-9539-f00e70edb1cd · inbound

Segment-Aligned Policy Optimization for Multi-Modal Reasoning cites this paper.

Segment-Aligned Policy Optimization for Multi-Modal Reasoning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8e95ec75-48e4-470a-a328-0090381acb83 · inbound

Reference-Sampled Boltzmann Projection for KL-Regularized RLVR: Target-Matched Weighted SFT, Finite One-Shot Gaps, and Policy Mirror Descent cites this paper.

Reference-Sampled Boltzmann Projection for KL-Regularized RLVR: Target-Matched Weighted SFT, Finite One-Shot Gaps, and Policy Mirror Descent VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 61cfe08d-8965-4df7-86c5-18d40af3610e · inbound

Beyond Negative Rollouts: Positive-Only Policy Optimization with Implicit Negative Gradients cites this paper.

Beyond Negative Rollouts: Positive-Only Policy Optimization with Implicit Negative Gradients VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 69d2a109-293f-484e-8705-1d389312eccd · inbound

Gradient Extrapolation-Based Policy Optimization cites this paper.

Gradient Extrapolation-Based Policy Optimization VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 67bfa165-ca42-4238-80e1-a1e5357fe0a7 · inbound

Adaptive Negative Reinforcement for LLM Reasoning:Dynamically Balancing Correction and Diversity in RLVR cites this paper.

Adaptive Negative Reinforcement for LLM Reasoning:Dynamically Balancing Correction and Diversity in RLVR VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5a6dba1b-5ed2-4efa-a3f6-fd00161f6faf · inbound

Experience Sharing in Mutual Reinforcement Learning for Heterogeneous Language Models cites this paper.

Experience Sharing in Mutual Reinforcement Learning for Heterogeneous Language Models VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 107

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7dc51aac-f164-4d54-9d6c-0debb28bc28c · inbound

HTPO: Towards Exploration-Exploitation Balanced Policy Optimization via Hierarchical Token-level Objective Control cites this paper.

HTPO: Towards Exploration-Exploitation Balanced Policy Optimization via Hierarchical Token-level Objective Control VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation df6a9d0c-c0e2-445d-90c0-6dfc2db03596 · inbound

AIPO: Learning to Reason from Active Interaction cites this paper.

AIPO: Learning to Reason from Active Interaction VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9c5d05cb-84d2-4d8a-a027-80237918ffb6 · inbound

AIPO: Learning to Reason from Active Interaction cites this paper.

AIPO: Learning to Reason from Active Interaction VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-05-19T18:07:42.410607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation df6eefd8-704e-413a-8445-6a5dd9b8bd83 · inbound

The Cancellation Hypothesis in Critic-Free RL: From Outcome Rewards to Token Credits cites this paper.

The Cancellation Hypothesis in Critic-Free RL: From Outcome Rewards to Token Credits VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6edc0c2f-3e88-41b7-8a6a-1681d33bfdf7 · inbound

Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs cites this paper.

Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 68621520-2191-4db4-8138-03e16bedd881 · inbound

Power Reinforcement Post-Training of Text-to-Image Models with Super-Linear Advantage Shaping cites this paper.

Power Reinforcement Post-Training of Text-to-Image Models with Super-Linear Advantage Shaping VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2202c49e-bac5-4af8-b90b-363913ac368b · inbound

Seir\^enes: Adversarial Self-Play with Evolving Distractions for LLM Reasoning cites this paper.

Seir\^enes: Adversarial Self-Play with Evolving Distractions for LLM Reasoning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e84725e5-8a72-46f1-860c-cefa163fcbdf · inbound

Entropy Polarity in Reinforcement Fine-Tuning: Direction, Asymmetry, and Control cites this paper.

Entropy Polarity in Reinforcement Fine-Tuning: Direction, Asymmetry, and Control VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T09:36:04.819624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 313e936e-be72-4dfb-bbb5-d37f5199f9bc · inbound

Entropy Polarity in Reinforcement Fine-Tuning: Direction, Asymmetry, and Control cites this paper.

Entropy Polarity in Reinforcement Fine-Tuning: Direction, Asymmetry, and Control VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T06:05:06.381914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1ceaf6ca-ea55-4278-9bc6-143d28c75a6c · inbound

AIS: Adaptive Importance Sampling for Quantized RL cites this paper.

AIS: Adaptive Importance Sampling for Quantized RL VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-15T03:14:52.654351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d207b28e-0eb3-451d-b031-739af31a52ac · inbound

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs cites this paper.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.806981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dbf033de-1706-4492-8b27-2e756aea105c · inbound

Self-Supervised On-Policy Distillation for Reasoning Language Models cites this paper.

Self-Supervised On-Policy Distillation for Reasoning Language Models VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T14:43:22.093104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cf985c6e-659f-47c6-8b7e-349cbab13ea0 · inbound

PlexRL: Cluster-Level Orchestration of Serviceized LLM Execution for RLVR cites this paper.

PlexRL: Cluster-Level Orchestration of Serviceized LLM Execution for RLVR VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-21T02:29:25.316981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5aead835-031d-4dfa-9f94-aac20548c730 · inbound

Clipping Bottleneck: Stabilizing RLVR via Stochastic Recovery of Near-Boundary Signals cites this paper.

Clipping Bottleneck: Stabilizing RLVR via Stochastic Recovery of Near-Boundary Signals VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-22T07:51:15.656925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1a170f90-bce1-40cf-8f98-67734c5206f0 · inbound

Learning to Act under Noise: Enhancing Agent Robustness via Noisy Environments cites this paper.

Learning to Act under Noise: Enhancing Agent Robustness via Noisy Environments VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-06-29T16:53:40.530817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.