Paper Citation Record · LEDGER

What are Key Factors for Updates in RL for LLM Reasoning?

As of 6 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2606.22570.

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

pith.paper-citation-record.v1
2606.22570 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T10:24:53.245739Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

verified exact9
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch24

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 65b611c5-969b-4456-a04e-a1a4daa120da · outbound

This paper cites Scaling Learning Algorithms Towards.

What are Key Factors for Updates in RL for LLM Reasoning? Scaling Learning Algorithms Towards

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T10:24:53.245739Z

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Observation e281e20f-6585-427b-90fb-5fba933440e2 · outbound

This paper cites and Osindero, Simon and Teh, Yee Whye , journal =.

What are Key Factors for Updates in RL for LLM Reasoning? and Osindero, Simon and Teh, Yee Whye , journal =

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T10:24:53.245739Z

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Observation 6dab33e7-8946-4901-9c35-4c4fe40c962a · outbound

This paper cites 2016 , publisher=.

What are Key Factors for Updates in RL for LLM Reasoning? 2016 , publisher=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T10:24:53.245739Z

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Observation 5ddd0cda-a0b2-4228-af60-eb7cfa26cef5 · outbound

This paper cites Proximal Policy Optimization Algorithms.

What are Key Factors for Updates in RL for LLM Reasoning? Proximal Policy Optimization Algorithms

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:09:43.606398Z

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Observation abfbcc2c-8d86-446d-ad8f-3243bd3a4b89 · outbound

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

What are Key Factors for Updates in RL for LLM Reasoning? DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:09:43.601370Z

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Observation d5688a91-f619-4749-a915-c9df7ffba541 · outbound

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

What are Key Factors for Updates in RL for LLM Reasoning? DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:09:43.598925Z

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Observation c5527d84-9d29-4b75-9797-8f0b4cf0a6d0 · outbound

This paper cites VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks.

What are Key Factors for Updates in RL for LLM Reasoning? VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:09:43.603828Z

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Observation f64637eb-4856-4e27-9f83-a6a2bc0cf1e7 · outbound

This paper cites Advances in neural information processing systems , volume=.

What are Key Factors for Updates in RL for LLM Reasoning? Advances in neural information processing systems , volume=

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T10:24:53.245739Z

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Observation 94281c76-f5a3-49bb-b08d-d9e94d32efe9 · outbound

This paper cites 2025 , eprint=.

What are Key Factors for Updates in RL for LLM Reasoning? 2025 , eprint=

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T10:24:53.245739Z

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Observation 67eada85-28c2-4a11-9974-de08626c402f · outbound

This paper cites doi: 10.18653/v1/2022.acl-long.78.

What are Key Factors for Updates in RL for LLM Reasoning? doi: 10.18653/v1/2022.acl-long.78

Reference 10

Resolution: metadata mismatch; doi, observed 2026-06-26T10:29:18.566303Z

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Observation 7d6175e9-6795-4dc5-b415-5933968ce487 · outbound

This paper cites 2025 , note =.

What are Key Factors for Updates in RL for LLM Reasoning? 2025 , note =

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T10:24:53.245739Z

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Observation 3876e9d5-9ae3-4dfe-a9ef-e42e59fe95e4 · outbound

This paper cites 2024 , journal =.

What are Key Factors for Updates in RL for LLM Reasoning? 2024 , journal =

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T10:24:53.245739Z

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Observation e8e3d195-0951-4d2f-a6f7-f69c6920f5c1 · outbound

This paper cites 2021 , eprint=.

What are Key Factors for Updates in RL for LLM Reasoning? 2021 , eprint=

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T10:24:53.245739Z

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Observation ffc53ab1-a6cf-4127-8cb4-cfb9803b5d22 · outbound

This paper cites 2024 , eprint=.

What are Key Factors for Updates in RL for LLM Reasoning? 2024 , eprint=

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T10:24:53.245739Z

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Observation 5baf5c3b-b621-45ea-b8c5-cad94d3c6868 · outbound

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

What are Key Factors for Updates in RL for LLM Reasoning? Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:09:43.596474Z

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Observation 2a207b72-137d-44d8-a353-f43b8e1a264a · outbound

This paper cites OpenAI o1 System Card.

What are Key Factors for Updates in RL for LLM Reasoning? OpenAI o1 System Card

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:09:43.594060Z

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Observation 78689bf4-fd35-4f36-9e1e-660ffcdbe1b3 · outbound

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

What are Key Factors for Updates in RL for LLM Reasoning? DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:09:43.589102Z

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Observation ccb7237e-c26c-4967-87d8-688763bea325 · outbound

This paper cites 2025 , month =.

What are Key Factors for Updates in RL for LLM Reasoning? 2025 , month =

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T10:24:53.245739Z

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Observation 4afb7a0a-b48a-4c0a-ab97-a7d8e16d28ed · outbound

This paper cites AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning.

What are Key Factors for Updates in RL for LLM Reasoning? AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:09:43.581253Z

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Observation 1b693f92-b6ab-4bdb-b1a9-9c23ed2fd224 · outbound

This paper cites Qwen3 Technical Report.

What are Key Factors for Updates in RL for LLM Reasoning? Qwen3 Technical Report

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:09:43.605643Z

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Observation 2ef7407c-c595-4162-b127-8a0e10eadcf3 · outbound

This paper cites Qwen2.5 Technical Report.

What are Key Factors for Updates in RL for LLM Reasoning? Qwen2.5 Technical Report

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:09:43.586643Z

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Observation bde99d6b-5f49-4a85-a388-c870a2042597 · outbound

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

What are Key Factors for Updates in RL for LLM Reasoning? Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:09:43.591750Z

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Observation af7bf6e4-7168-4bd3-8cb3-3bc0f4d082bd · outbound

This paper cites Do Not Let Low-Probability Tokens Over-Dominate in RL for LLMs.

What are Key Factors for Updates in RL for LLM Reasoning? Do Not Let Low-Probability Tokens Over-Dominate in RL for LLMs

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:09:43.578480Z

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Observation 53c442e5-1ab9-45a7-a1ac-a0118e30868b · outbound

This paper cites Reasoning with Exploration: An Entropy Perspective.

What are Key Factors for Updates in RL for LLM Reasoning? Reasoning with Exploration: An Entropy Perspective

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:09:43.563501Z

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Observation 91c6b4c4-7983-4953-b57b-0c2be8bfef38 · outbound

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

What are Key Factors for Updates in RL for LLM Reasoning? The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:09:43.569466Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2b142ae2-05d1-4a9e-bfb1-53ef1010a7c4 · outbound

This paper cites One-shot Entropy Minimization.

What are Key Factors for Updates in RL for LLM Reasoning? One-shot Entropy Minimization

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:09:43.565648Z

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Observation 14275d2a-83f5-485b-b2f0-ea9c0e1c32d6 · outbound

This paper cites SEED-GRPO: Semantic Entropy Enhanced GRPO for Uncertainty-Aware Policy Optimization.

What are Key Factors for Updates in RL for LLM Reasoning? SEED-GRPO: Semantic Entropy Enhanced GRPO for Uncertainty-Aware Policy Optimization

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:09:43.560962Z

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Observation 3a096dc8-2bbe-4dce-b337-98b70e7851a6 · outbound

This paper cites Segment policy optimization: Ef- fective segment-level credit assignment in rl for large language models.

What are Key Factors for Updates in RL for LLM Reasoning? Segment policy optimization: Ef- fective segment-level credit assignment in rl for large language models

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:09:43.531992Z

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Observation 855d224b-6a44-4a97-ae37-fd7df83fc914 · outbound

This paper cites First Return, Entropy-Eliciting Explore.

What are Key Factors for Updates in RL for LLM Reasoning? First Return, Entropy-Eliciting Explore

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:09:43.540812Z

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Observation f39d511a-da72-4122-b12f-9f83743d30b5 · outbound

This paper cites Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs.

What are Key Factors for Updates in RL for LLM Reasoning? Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:09:43.534766Z

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Observation dad12c66-8e34-44b0-808b-90fa3ac67f1a · outbound

This paper cites MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention.

What are Key Factors for Updates in RL for LLM Reasoning? MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:09:43.527440Z

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Observation 6e09a0a3-3f57-4e4a-8eab-93ad19dd7e0b · outbound

This paper cites Klear-reasoner: Advancing reasoning capability via gradient-preserving clipping policy optimization.arXiv preprint arXiv:2508.07629.

What are Key Factors for Updates in RL for LLM Reasoning? Klear-reasoner: Advancing reasoning capability via gradient-preserving clipping policy optimization.arXiv preprint arXiv:2508.07629

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:09:43.533016Z

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Observation ba3141db-5b46-46ac-8b82-e2539b502163 · outbound

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

What are Key Factors for Updates in RL for LLM Reasoning? Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR

Reference 33

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:09:43.600636Z

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Observation 5f26c37a-d901-47b6-8880-98d8220ec7c4 · outbound

This paper cites The surprising effectiveness of negative reinforcement in llm reasoning.arXiv preprint arXiv:2506.01347.

What are Key Factors for Updates in RL for LLM Reasoning? The surprising effectiveness of negative reinforcement in llm reasoning.arXiv preprint arXiv:2506.01347

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:09:43.595453Z

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Observation 7d607ce7-cda3-4fb0-9d51-f107ba4b1af5 · outbound

This paper cites A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce.

What are Key Factors for Updates in RL for LLM Reasoning? A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:09:43.575477Z

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Observation bc31eff6-7769-4562-ad98-fd5267be0c35 · outbound

This paper cites Learning to Reason under Off-Policy Guidance.

What are Key Factors for Updates in RL for LLM Reasoning? Learning to Reason under Off-Policy Guidance

Reference 36

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:09:43.587637Z

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Observation 0065986c-10e2-4a9b-aeb9-f431a9b40910 · outbound

This paper cites Learning what reinforcement learning can't: Interleaved online fine-tuning for hardest questions.

What are Key Factors for Updates in RL for LLM Reasoning? Learning what reinforcement learning can't: Interleaved online fine-tuning for hardest questions

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:09:43.603102Z

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Observation 967da951-9120-4295-8a7c-68731a45b4d7 · outbound

This paper cites SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning.

What are Key Factors for Updates in RL for LLM Reasoning? SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:09:43.590285Z

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Observation 55e747a9-cc43-4b9b-89f2-d32d4ae255f3 · outbound

This paper cites Arnal, G.

What are Key Factors for Updates in RL for LLM Reasoning? Arnal, G

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:09:43.592878Z

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Observation 88f54f18-df8a-458b-8cdb-cfc12a3284ed · outbound

This paper cites Part i: Tricks or traps? a deep dive into rl for llm reasoning.

What are Key Factors for Updates in RL for LLM Reasoning? Part i: Tricks or traps? a deep dive into rl for llm reasoning

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:09:43.598162Z

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Observation 1f61da7e-d60a-46ae-9b91-ecf5b51a6037 · outbound

This paper cites June , volume=.

What are Key Factors for Updates in RL for LLM Reasoning? June , volume=

Reference 41

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Observation aa319e90-2330-4c63-b119-7e5b25f98221 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

What are Key Factors for Updates in RL for LLM Reasoning? Measuring Mathematical Problem Solving With the MATH Dataset

Reference 42

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:09:43.547401Z

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Observation c620a0c4-3449-4494-aefc-ff0d418fb689 · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

What are Key Factors for Updates in RL for LLM Reasoning? Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-26T10:24:53.245739Z

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Observation 4640e1dc-0d32-4345-816d-47db5b224200 · outbound

This paper cites arXiv preprint arXiv:2504.02546 , year=.

What are Key Factors for Updates in RL for LLM Reasoning? arXiv preprint arXiv:2504.02546 , year=

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:09:43.574548Z

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Observation c7137edb-6139-4332-bbb6-caed3ca98a75 · outbound

This paper cites Group Sequence Policy Optimization.

What are Key Factors for Updates in RL for LLM Reasoning? Group Sequence Policy Optimization

Reference 45

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:09:43.580238Z

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Pith citing papers

No inbound Pith citation observations are available.