Paper Citation Record · LEDGER

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning

As of 21 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 8 inbound Pith citation observations for arXiv:2505.21178.

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

pith.paper-citation-record.v1
2505.21178 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:41:30.443487Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:54:17.656180Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:19:43.875028Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy4
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b81ee456-0d52-4b5f-a579-962eb784e605 · outbound

This paper cites Scaling llm test-time compute optimally can be more effective than scaling model parameters, 2024.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Scaling llm test-time compute optimally can be more effective than scaling model parameters, 2024

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:28.371918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12e31e88-5060-4b0a-8c26-a120743c7073 · outbound

This paper cites s1: Simple test-time scaling.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning s1: Simple test-time scaling

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:28.479540Z

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Observation 1420f42f-046d-4d1e-b85f-f8012d519340 · outbound

This paper cites Chi, Quoc V Le, and Denny Zhou.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Chi, Quoc V Le, and Denny Zhou

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:28.585725Z

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Observation 5b96ee8c-6b8d-4c54-86ce-3f52d171f55a · outbound

This paper cites OpenAI o1 System Card.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning OpenAI o1 System Card

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:28.688241Z

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Observation 33d1973f-f508-46ff-85b6-373f6c750ef6 · outbound

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

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:28.743661Z

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Observation 1f177744-3d28-4f1c-aef2-1fe4e8ed9d75 · outbound

This paper cites an unresolved cited work.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:28.831623Z

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Observation 456363e9-8d2a-40f7-a591-f83ee6693c8b · outbound

This paper cites Demystifying long chain-of-thought reasoning in llms, 2025.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Demystifying long chain-of-thought reasoning in llms, 2025

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:28.905630Z

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Observation 86c3e0a8-97dc-42e0-a5bf-afd2471842bb · outbound

This paper cites Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Tianjun Zhang, Li Erran Li, Raluca Ada Popa, and Ion Stoica.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Tianjun Zhang, Li Erran Li, Raluca Ada Popa, and Ion Stoica

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:41:31.410685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7f16d0e7-aa85-44dc-b555-33bb96a862db · outbound

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

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:29.061996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9fd87bd-9edf-4305-8e57-5b10c52f7099 · outbound

This paper cites Gonzalez.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Gonzalez

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:29.136896Z

Source-reported events for the cited work

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Observation 5b103f33-1860-4f6d-b835-a1d09a3214f4 · outbound

This paper cites Fastcurl: Curriculum reinforcement learning with progressive context extension for efficient training r1-like reasoning models, 2025.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Fastcurl: Curriculum reinforcement learning with progressive context extension for efficient training r1-like reasoning models, 2025

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:41:31.164901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5192dda7-3a17-4409-a2a3-95e4236bd339 · outbound

This paper cites Dapo: An open-source llm reinforcement learning system at scale, 2025.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Dapo: An open-source llm reinforcement learning system at scale, 2025

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:29.309212Z

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Observation 14d24b52-b044-43cb-b105-0d52f8507a96 · outbound

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

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Understanding R1-Zero-Like Training: A Critical Perspective

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:29.358576Z

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Observation a511c874-76ae-4ea0-85d0-2e683ec10817 · outbound

This paper cites Concise reasoning via reinforcement learning.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Concise reasoning via reinforcement learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:29.407186Z

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Observation 268f1b66-93e5-483a-b060-83623e1f2a68 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:29.485654Z

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Observation b78ba4d1-5f53-4b63-b769-b4ea1b998dac · outbound

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

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:29.558645Z

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Observation dd7c4d8d-a154-4858-b2e0-37ecac62f55f · outbound

This paper cites Solving quantitative reasoning problems with language models.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Solving quantitative reasoning problems with language models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:29.651369Z

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Observation a8570983-096a-48d2-96c9-cb11b5ddd572 · outbound

This paper cites Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:29.732447Z

Source-reported events for the cited work

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Observation d83cab6b-6cbc-47a6-89d8-dc83d447fa79 · outbound

This paper cites Imitate, explore, and self-improve: A reproduction report on slow-thinking reasoning systems, 2024.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Imitate, explore, and self-improve: A reproduction report on slow-thinking reasoning systems, 2024

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:29.811939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ed5ca11-5da9-4e14-ae6c-686c2603a8b2 · outbound

This paper cites A sober look at progress in language model reasoning: Pitfalls and paths to reproducibility, 2025.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning A sober look at progress in language model reasoning: Pitfalls and paths to reproducibility, 2025

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:41:30.939427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0be12f3a-3998-48ae-b6c5-b0585ec4b4a6 · outbound

This paper cites Qwen2.5 Technical Report.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Qwen2.5 Technical Report

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:29.958468Z

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Observation 03ada641-80cc-400b-98b9-b340269b483c · outbound

This paper cites Qwen2.5-math technical report: Toward mathematical expert model via self-improvement, 2024.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Qwen2.5-math technical report: Toward mathematical expert model via self-improvement, 2024

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:30.007684Z

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Observation 267993ab-5ae7-41f0-9343-3a739f73831e · outbound

This paper cites Process Reinforcement through Implicit Rewards.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Process Reinforcement through Implicit Rewards

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:30.046501Z

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Observation d2a9d0b3-0b5e-4d55-9cc0-2409c6bff85d · outbound

This paper cites Open-reasoner-zero: An open source approach to scaling up reinforcement learning on the base model, 2025.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Open-reasoner-zero: An open source approach to scaling up reinforcement learning on the base model, 2025

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:30.127471Z

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Observation 2f985c0f-0f15-43e3-9239-8d282d54aa74 · outbound

This paper cites Simplerl-zoo: Investigating and taming zero reinforcement learning for open base models in the wild, 2025.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Simplerl-zoo: Investigating and taming zero reinforcement learning for open base models in the wild, 2025

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:30.176429Z

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Observation dfa24d0c-3be8-487b-8067-7af43a5e905e · outbound

This paper cites Hybridflow: A flexible and efficient rlhf framework.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Hybridflow: A flexible and efficient rlhf framework

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:41:30.761315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 21283f7c-89e6-4307-8f3e-8c67dc08414f · outbound

This paper cites Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multimodal scientific problems.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multimodal scientific problems

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:30.317826Z

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Observation 166f3aa0-d6bd-4d93-93f9-12be5dd032c0 · outbound

This paper cites Open r1: A fully open reproduction of deepseek-r1, January 2025.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Open r1: A fully open reproduction of deepseek-r1, January 2025

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:30.382317Z

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Observation a85ba105-22b8-4869-ad5a-b8688d9142cc · outbound

This paper cites Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond.

Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:30.443487Z

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Pith citing papers

Observation 788f827d-c11a-4f5e-911b-d40096de2272 · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning

Reference 160

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T01:29:56.823186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1a6a0e55-3b5f-4c3f-8143-3877a86ae2c4 · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning

Reference 165

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:17.656180Z

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Observation 8750ce5d-5a39-4973-b88c-f5a6ab0bb8e8 · inbound

When Less is Enough: Efficient Inference via Collaborative Reasoning cites this paper.

When Less is Enough: Efficient Inference via Collaborative Reasoning Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:41:43.015133Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation db530fcd-f20b-452a-a13e-c6bf8b302f72 · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning

Reference 251

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:06:09.245378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e7e74023-cbfa-40f8-bf5f-ce48eef83c14 · inbound

Taming the Thinker: Conditional Entropy Shaping for Adaptive LLM Reasoning cites this paper.

Taming the Thinker: Conditional Entropy Shaping for Adaptive LLM Reasoning Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-20T06:43:05.960803Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 95d5fa2c-63b2-4dac-83bf-2b0e9d95bf91 · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:09:36.877011Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e6967e08-c3c8-4e23-8297-c4dd9a0ee001 · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-02T10:49:08.087657Z

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Observation d3634661-fae2-4be1-8448-6bce7fdca490 · inbound

Beyond Penalizing Mistakes: Stabilizing Efficiency Training in Large Reasoning Models via Adaptive Correct-Only Rewards cites this paper.

Beyond Penalizing Mistakes: Stabilizing Efficiency Training in Large Reasoning Models via Adaptive Correct-Only Rewards Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:19:43.876796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.