Parameter Exploration for RLVR via Variational Learning | Paper Citation Record

Observation 463ddaed-3d44-4da6-9ce5-80f49d67d6bd · outbound

This paper cites A Survey of Exploration Methods in Reinforcement Learning.

Parameter Exploration for RLVR via Variational Learning A Survey of Exploration Methods in Reinforcement Learning

Reference 1

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Observation 37c920ea-313f-4c46-8e5e-e92705d6dc25 · outbound

This paper cites Polaris: A post-training recipe for scaling reinforcement learning on advanced reasoning models, 2025.

Parameter Exploration for RLVR via Variational Learning Polaris: A post-training recipe for scaling reinforcement learning on advanced reasoning models, 2025

Reference 2

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Observation 9f15f11d-376d-433e-a2d4-c7a09b942c1f · outbound

This paper cites Learning to explore with parameter-space noise: A deep dive into parameter-space noise for reinforcement learning with verifiable rewards.CoRR, abs/2602.02555, 2026.

Parameter Exploration for RLVR via Variational Learning Learning to explore with parameter-space noise: A deep dive into parameter-space noise for reinforcement learning with verifiable rewards.CoRR, abs/2602.02555, 2026

Reference 3

Resolution: verified exact; doi, observed 2026-08-11T10:32:14.059743Z

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Observation ba81f022-c73f-4977-a899-1156cd2224c0 · outbound

This paper cites Llama-nemotron: Efficient reasoning models, 2025.

Parameter Exploration for RLVR via Variational Learning Llama-nemotron: Efficient reasoning models, 2025

Reference 4

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Observation ae42e433-66d1-4662-a69d-e26076b8156a · outbound

This paper cites Weight un- certainty in neural network.

Parameter Exploration for RLVR via Variational Learning Weight un- certainty in neural network

Reference 5

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Observation 646564d1-5bb4-46a7-ac84-198d06b87cc4 · outbound

This paper cites FullStack Bench: Evaluating LLMs as Full Stack Coders.

Parameter Exploration for RLVR via Variational Learning FullStack Bench: Evaluating LLMs as Full Stack Coders

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:12.751253Z

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Observation 06241385-ab5d-4963-b8db-254df635a039 · outbound

This paper cites Skyrl-v0: Train real-world long-horizon agents via reinforcement learning, 2025.

Parameter Exploration for RLVR via Variational Learning Skyrl-v0: Train real-world long-horizon agents via reinforcement learning, 2025

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:15.114998Z

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Observation 21a74956-aa23-430f-82c6-254cdabc43f2 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Parameter Exploration for RLVR via Variational Learning Evaluating Large Language Models Trained on Code

Reference 8

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Observation 51591005-14da-446a-84f1-1dfa858b03f0 · outbound

This paper cites Exploration vs exploitation: Rethinking RLVR through clipping, entropy, and spurious reward.

Parameter Exploration for RLVR via Variational Learning Exploration vs exploitation: Rethinking RLVR through clipping, entropy, and spurious reward

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:15.102504Z

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Observation 07287b1d-f253-4169-b518-6e5282df3d20 · outbound

This paper cites Improving LoRA with Variational Learning.

Parameter Exploration for RLVR via Variational Learning Improving LoRA with Variational Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:12.768570Z

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Observation 107d603d-cb86-4f0c-8ce4-f20e8e33bb98 · outbound

This paper cites The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models.

Parameter Exploration for RLVR via Variational Learning The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:12.774265Z

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Observation b13e8654-d971-43e9-9564-14865009e741 · outbound

This paper cites Uncertainty-aware decoding with minimum bayes risk.

Parameter Exploration for RLVR via Variational Learning Uncertainty-aware decoding with minimum bayes risk

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:15.090956Z

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Observation 8c5f775f-51d5-463a-9099-8ed57d78607f · outbound

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

Parameter Exploration for RLVR via Variational Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:12.783229Z

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Observation 123cc001-309e-4151-aecf-ccfc5a20a76b · outbound

This paper cites A survey on policy search for robotics.Found.

Parameter Exploration for RLVR via Variational Learning A survey on policy search for robotics.Found

Reference 14

Resolution: verified exact; doi, observed 2026-08-11T10:32:13.954304Z

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Observation 66d0116e-5f2b-4b80-975a-7f0c8792c0b5 · outbound

This paper cites Sharpness-aware min- imization for efficiently improving generalization.

Parameter Exploration for RLVR via Variational Learning Sharpness-aware min- imization for efficiently improving generalization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:15.076200Z

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Observation 0d56f047-1a95-4fb1-a99c-57e9f2decc1e · outbound

This paper cites Noisy networks for exploration.

Parameter Exploration for RLVR via Variational Learning Noisy networks for exploration

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:15.063344Z

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Observation e18a1ea0-85d6-48b1-b172-5c81df055be6 · outbound

This paper cites Neural thickets: Diverse task experts are dense around pretrained weights.CoRR, abs/2603.12228, 2026.

Parameter Exploration for RLVR via Variational Learning Neural thickets: Diverse task experts are dense around pretrained weights.CoRR, abs/2603.12228, 2026

Reference 17

Resolution: verified exact; doi, observed 2026-08-11T10:32:13.938318Z

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Observation cc62d422-b240-4614-a421-cd1809e4a508 · outbound

This paper cites Practical variational inference for neural networks.

Parameter Exploration for RLVR via Variational Learning Practical variational inference for neural networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:15.039427Z

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Observation be16919a-7051-4fa5-b122-e5686d58ba26 · outbound

This paper cites Skywork Open Reasoner 1 Technical Report.

Parameter Exploration for RLVR via Variational Learning Skywork Open Reasoner 1 Technical Report

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:12.818963Z

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Observation 39dcb276-4953-4707-9f8b-bd6e0c39851a · outbound

This paper cites Measuring mathematical problem solving with the MATH dataset.

Parameter Exploration for RLVR via Variational Learning Measuring mathematical problem solving with the MATH dataset

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:12.823287Z

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Observation bbcfc14a-08ab-4b2f-8bbf-1ae24b45ff93 · outbound

This paper cites The curious case of neural text degeneration.

Parameter Exploration for RLVR via Variational Learning The curious case of neural text degeneration

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:12.827658Z

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Observation aa45cfff-3eec-4ef9-b7ea-ce9b847dbacf · outbound

This paper cites Brorl: Scaling reinforcement learning via broadened exploration.CoRR, abs/2510.01180, 2025.

Parameter Exploration for RLVR via Variational Learning Brorl: Scaling reinforcement learning via broadened exploration.CoRR, abs/2510.01180, 2025

Reference 22

Resolution: verified exact; doi, observed 2026-08-11T10:32:13.827218Z

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Observation 45a2747d-aeee-4978-8f5f-d1e3705c635c · outbound

This paper cites Livecodebench: Holistic and contamination free evaluation of large language models for code.

Parameter Exploration for RLVR via Variational Learning Livecodebench: Holistic and contamination free evaluation of large language models for code

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.991288Z

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Observation b29344e8-1bd0-4d1f-81af-47409f0aa669 · outbound

This paper cites Near-optimal regret bounds for reinforcement learning.J.

Parameter Exploration for RLVR via Variational Learning Near-optimal regret bounds for reinforcement learning.J

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:12.842280Z

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Observation b589645f-91ae-44e4-a097-1f32185282a3 · outbound

This paper cites Rethinking entropy regularization in large reasoning models.CoRR, abs/2509.25133, 2025.

Parameter Exploration for RLVR via Variational Learning Rethinking entropy regularization in large reasoning models.CoRR, abs/2509.25133, 2025

Reference 25

Resolution: verified exact; doi, observed 2026-08-11T10:32:13.757133Z

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Observation 4fa8d917-90a4-44d0-8db7-8b6913d2551e · outbound

This paper cites The bayesian learning rule.Journal of Machine Learning Research, 24(281):1–46, 2023.

Parameter Exploration for RLVR via Variational Learning The bayesian learning rule.Journal of Machine Learning Research, 24(281):1–46, 2023

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.979814Z

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Observation f3337831-493b-48d4-8920-4c952f4b3dd9 · outbound

This paper cites Fast and scalable bayesian deep learning by weight-perturbation in adam.

Parameter Exploration for RLVR via Variational Learning Fast and scalable bayesian deep learning by weight-perturbation in adam

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.967885Z

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Observation 7af71b16-0a03-4670-a9b4-38097d635421 · outbound

This paper cites Generalized variational inference: Three arguments for deriving new posteriors.

Parameter Exploration for RLVR via Variational Learning Generalized variational inference: Three arguments for deriving new posteriors

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.953142Z

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Observation e15d98a9-9f10-44d7-9cb6-9be57a09ff38 · outbound

This paper cites The Case for Learning Application Behavior to Improve Hardware Energy Efficiency.

Parameter Exploration for RLVR via Variational Learning The Case for Learning Application Behavior to Improve Hardware Energy Efficiency

Reference 29

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T10:32:14.357333Z

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Observation e0fefb07-c04c-48d0-aa5b-12d3b47a11b5 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

Parameter Exploration for RLVR via Variational Learning Efficient memory management for large language model serving with pagedattention

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:12.868294Z

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Observation 4f434f82-1798-4f91-af72-e455398bb5bd · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Parameter Exploration for RLVR via Variational Learning Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 31

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Observation 32432725-071a-4e0f-afec-715aa718c91a · outbound

This paper cites Ramasesh, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo et al.

Parameter Exploration for RLVR via Variational Learning Ramasesh, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo et al

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.941961Z

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Observation 0563aac8-04f5-4dc0-80f6-170c4957c00d · outbound

This paper cites Verified taco problems.

Parameter Exploration for RLVR via Variational Learning Verified taco problems

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.929410Z

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Observation 09e3f26f-11c0-46cb-8543-b0b7b43bf160 · outbound

This paper cites Handling the positive-definite con- straint in the bayesian learning rule.

Parameter Exploration for RLVR via Variational Learning Handling the positive-definite con- straint in the bayesian learning rule

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.916744Z

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Observation bdc9df48-1918-4067-baef-34908d197424 · outbound

This paper cites When speed kills stability: Demystifying RL collapse from the training-inference mismatch.

Parameter Exploration for RLVR via Variational Learning When speed kills stability: Demystifying RL collapse from the training-inference mismatch

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.903579Z

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Observation 48cddb81-4e20-40a9-b123-3e65c7504c61 · outbound

This paper cites Code-r1: Reproducing r1 for code with reliable rewards.

Parameter Exploration for RLVR via Variational Learning Code-r1: Reproducing r1 for code with reliable rewards

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:12.911912Z

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Observation 469e5597-9969-4364-bdd8-aefef327d7dd · outbound

This paper cites ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models.

Parameter Exploration for RLVR via Variational Learning ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:12.916702Z

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Observation c46c7011-3bd6-4da4-b5ac-95641628bd36 · outbound

This paper cites Regularization matters in policy optimization - an empirical study on continuous control.

Parameter Exploration for RLVR via Variational Learning Regularization matters in policy optimization - an empirical study on continuous control

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.881665Z

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Observation 7d98b97b-749e-4c50-9625-8c85bb0645d3 · outbound

This paper cites Understanding r1-zero-like training: A critical perspective.

Parameter Exploration for RLVR via Variational Learning Understanding r1-zero-like training: A critical perspective

Reference 39

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Observation d1efa133-d7be-4794-bd75-3f0a4a52fb6a · outbound

This paper cites Decoupled weight decay regularization.

Parameter Exploration for RLVR via Variational Learning Decoupled weight decay regularization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:12.935853Z

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Observation 7e5db798-f81c-4539-9cb9-43dfa506115c · outbound

This paper cites Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Li Erran Li, Raluca Ada Popa et al.

Parameter Exploration for RLVR via Variational Learning Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Li Erran Li, Raluca Ada Popa et al

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.834331Z

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Observation 8eba8178-36aa-4337-9dff-9572eaa26618 · outbound

This paper cites American Invitational Mathematics Examination, 2026.

Parameter Exploration for RLVR via Variational Learning American Invitational Mathematics Examination, 2026

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:12.945458Z

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Observation fb3d2388-c503-41d7-8992-9b9b8033965a · outbound

This paper cites SOAP-Bubbles: Structured Weight Uncertainty for Neural Networks.

Parameter Exploration for RLVR via Variational Learning SOAP-Bubbles: Structured Weight Uncertainty for Neural Networks

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:32:14.270721Z

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Observation fdfe7acf-c09e-43e7-9b63-70e8b6eabbc9 · outbound

This paper cites SAM as an optimal relaxation of bayes.

Parameter Exploration for RLVR via Variational Learning SAM as an optimal relaxation of bayes

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.812635Z

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Observation e36fba69-5a95-4a91-ac65-ca1b408713c6 · outbound

This paper cites Faster, more efficient RLHF through off-policy asynchronous learning.

Parameter Exploration for RLVR via Variational Learning Faster, more efficient RLHF through off-policy asynchronous learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.800601Z

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Observation 31f11779-fdc0-4d42-8776-bacf1706d5bc · outbound

This paper cites Olmo 3.

Parameter Exploration for RLVR via Variational Learning Olmo 3

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:12.966627Z

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Observation 73ad86e3-942c-475a-800f-ef103c20bef4 · outbound

This paper cites Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray et al.

Parameter Exploration for RLVR via Variational Learning Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray et al

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.787028Z

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Observation cef92906-a67a-47bc-82b4-1a8377b882dc · outbound

This paper cites Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, and Marcin Andrychowicz.

Parameter Exploration for RLVR via Variational Learning Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, and Marcin Andrychowicz

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.776599Z

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Observation f75a85d1-56bd-4d9c-9930-7d709691dc09 · outbound

This paper cites Exploring parameter space in reinforcement learning.Paladyn J.

Parameter Exploration for RLVR via Variational Learning Exploring parameter space in reinforcement learning.Paladyn J

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.763936Z

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Observation cc300bdb-8913-4a54-b274-81d3787e8a95 · outbound

This paper cites Evolution Strategies as a Scalable Alternative to Reinforcement Learning.

Parameter Exploration for RLVR via Variational Learning Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:13.001257Z

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Observation 2c1d7bd0-2199-4cbf-b47a-887012c3dd81 · outbound

This paper cites Parameter-exploring policy gradients.Neural Networks, 23(4):551–559, 2010.

Parameter Exploration for RLVR via Variational Learning Parameter-exploring policy gradients.Neural Networks, 23(4):551–559, 2010

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:13.006112Z

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Observation a38eab6a-6954-4594-88ba-7018c0acc17e · outbound

This paper cites e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs.

Parameter Exploration for RLVR via Variational Learning e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:13.013301Z

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Observation 3c22fee3-d2a8-4aba-a5a5-480d4c63475d · outbound

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

Parameter Exploration for RLVR via Variational Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:13.019444Z

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Observation cdc4d653-dc12-4ea8-b959-48296873be97 · outbound

This paper cites On entropy control in LLM-RL algorithms.CoRR, abs/2509.03493, 2025.

Parameter Exploration for RLVR via Variational Learning On entropy control in LLM-RL algorithms.CoRR, abs/2509.03493, 2025

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:13.024389Z

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Observation fc207249-b380-469b-8164-1bfd76a837c6 · outbound

This paper cites Variational learning is effective for large deep networks.

Parameter Exploration for RLVR via Variational Learning Variational learning is effective for large deep networks

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.752260Z

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Observation 5c5e5b2e-d02f-4f6e-a25a-efb5754ff767 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

Parameter Exploration for RLVR via Variational Learning HybridFlow: A Flexible and Efficient RLHF Framework

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:13.039985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01429360-ac01-4efa-876a-3e51d1e403cb · outbound

This paper cites Strehl and Michael L.

Parameter Exploration for RLVR via Variational Learning Strehl and Michael L

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:13.044273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ed17521-795b-4680-9582-a16643fe2b55 · outbound

This paper cites Path integral policy improvement with covariance matrix adaptation.

Parameter Exploration for RLVR via Variational Learning Path integral policy improvement with covariance matrix adaptation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.727527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2603b6f4-9c35-4596-81a3-4981b964bb16 · outbound

This paper cites RL grokking recipe: How does RL unlock and transfer new algorithms in LLMs? InThe Fourteenth International Conference on Learning Representations, 2026.

Parameter Exploration for RLVR via Variational Learning RL grokking recipe: How does RL unlock and transfer new algorithms in LLMs? InThe Fourteenth International Conference on Learning Representations, 2026

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.714895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2f6d0311-0935-4286-a635-9965396094f6 · outbound

This paper cites an unresolved cited work.

Parameter Exploration for RLVR via Variational Learning Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:32:14.703322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ae7c3df1-a809-46b8-bf67-5dce78e32c75 · outbound

This paper cites Sutton and Andrew G.

Parameter Exploration for RLVR via Variational Learning Sutton and Andrew G

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.691421Z

Source-reported events for the cited work

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Observation 907023fd-33b9-4a78-abcb-d1b231d7cdbc · outbound

This paper cites Theodorou, Jonas Buchli, and Stefan Schaal.

Parameter Exploration for RLVR via Variational Learning Theodorou, Jonas Buchli, and Stefan Schaal

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:13.071427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90fa11a7-9efa-4a55-b408-9ac2e528f2aa · outbound

This paper cites Generalized exploration in policy search.

Parameter Exploration for RLVR via Variational Learning Generalized exploration in policy search

Reference 63

Resolution: verified exact; doi, observed 2026-08-11T10:32:13.571135Z

Source-reported events for the cited work

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Observation b3f7816e-f0b6-4c34-bb47-255a26c11571 · outbound

This paper cites Aletheia: What Makes RLVR For Code Verifiers Tick?.

Parameter Exploration for RLVR via Variational Learning Aletheia: What Makes RLVR For Code Verifiers Tick?

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:13.081086Z

Source-reported events for the cited work

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Observation 6a678b06-4ac0-45a2-bfd0-706db61a7da8 · outbound

This paper cites Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning.

Parameter Exploration for RLVR via Variational Learning Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:13.087281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1068912-5ebc-47e3-80c3-77ecc4ab946b · outbound

This paper cites Learning from delayed rewards.

Parameter Exploration for RLVR via Variational Learning Learning from delayed rewards

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:13.092467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87d8fd76-b25b-4726-88e9-bfa2efb01d1c · outbound

This paper cites Adversarial weight perturbation helps robust generalization.

Parameter Exploration for RLVR via Variational Learning Adversarial weight perturbation helps robust generalization

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.672871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 15766fb5-f584-47d9-9500-f27ae32303ae · outbound

This paper cites The invisible leash: Why RLVR may not escape its origin.CoRR, abs/2507.14843, 2025.

Parameter Exploration for RLVR via Variational Learning The invisible leash: Why RLVR may not escape its origin.CoRR, abs/2507.14843, 2025

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:13.102018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2c6d4d7-5060-4d36-af4c-9dcc5e70c0d1 · outbound

This paper cites Reasoning or memorization? unreliable results of reinforcement learning due to data contamination.

Parameter Exploration for RLVR via Variational Learning Reasoning or memorization? unreliable results of reinforcement learning due to data contamination

Reference 69

Resolution: verified exact; doi, observed 2026-08-11T10:32:14.660615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 51e4aa03-2498-412f-89c4-f1a4775f3258 · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

Parameter Exploration for RLVR via Variational Learning Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:13.111958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c678ef5a-4c70-40ef-8213-ed6ce0076ec3 · outbound

This paper cites Your efficient rl framework secretly brings you off-policy rl training, August 2025.

Parameter Exploration for RLVR via Variational Learning Your efficient rl framework secretly brings you off-policy rl training, August 2025

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:13.116229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19cd3682-c4e9-46fa-8e09-ac3dbf307f84 · outbound

This paper cites The debate on RLVR reasoning capability boundary: Shrinkage, expansion, or both? A two-stage dynamic view.CoRR, abs/2510.04028, 2025.

Parameter Exploration for RLVR via Variational Learning The debate on RLVR reasoning capability boundary: Shrinkage, expansion, or both? A two-stage dynamic view.CoRR, abs/2510.04028, 2025

Reference 72

Resolution: verified exact; doi, observed 2026-08-11T10:32:13.447823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7fc9da07-b433-44a7-943c-b608181a1e43 · outbound

This paper cites DAPO: An open-source LLM reinforcement learning system at scale.

Parameter Exploration for RLVR via Variational Learning DAPO: An open-source LLM reinforcement learning system at scale

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.638208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 91df57ff-200d-4d8b-b1c3-ad18867ce443 · outbound

This paper cites Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining.

Parameter Exploration for RLVR via Variational Learning Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:13.129972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93db9b12-6f5e-4340-865a-1dbfa34e2bfa · outbound

This paper cites Group Sequence Policy Optimization.

Parameter Exploration for RLVR via Variational Learning Group Sequence Policy Optimization

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:13.137555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d653e8f-31f8-4780-9f55-d034ef0ebb78 · outbound

This paper cites The surprising effectiveness of negative reinforcement in LLM reasoning.

Parameter Exploration for RLVR via Variational Learning The surprising effectiveness of negative reinforcement in LLM reasoning

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:14.622844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 053302a1-ebd4-4250-ac2e-12f4ab659af2 · outbound

This paper cites Exploring multi-temperature strategies for token- and rollout-level control in RLVR.

Parameter Exploration for RLVR via Variational Learning Exploring multi-temperature strategies for token- and rollout-level control in RLVR

Reference 77

Resolution: verified exact; doi, observed 2026-08-11T10:32:13.355286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0cbc3438-9d41-410a-8c07-9614d43308a1 · outbound

This paper cites URL https://doi.org/10.2478/s13230-010- 0002-4.

Parameter Exploration for RLVR via Variational Learning URL https://doi.org/10.2478/s13230-010- 0002-4

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:12.988600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8a980b0-da8d-4898-8282-325438106671 · outbound

This paper cites an unresolved cited work.

Parameter Exploration for RLVR via Variational Learning Unresolved cited work

Reference 2011

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:32:15.027341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f282f0ce-7eb4-47dd-8d52-efd6e25bef35 · outbound

This paper cites an unresolved cited work.

Parameter Exploration for RLVR via Variational Learning Unresolved cited work

Reference 2018

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:32:15.052051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 937248b9-6481-4813-a1fc-2729e8ad8412 · outbound

This paper cites an unresolved cited work.

Parameter Exploration for RLVR via Variational Learning Unresolved cited work

Reference 2021

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:32:14.868197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a210d05b-a4f2-4727-9d7d-3edfdf420c50 · outbound

This paper cites an unresolved cited work.

Parameter Exploration for RLVR via Variational Learning Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:32:14.739485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers