Paper Citation Record · LEDGER

Effective Reinforcement Learning for Reasoning in Language Models

As of 13 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:2505.17218.

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

pith.paper-citation-record.v1
2505.17218 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:56:18.716371Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:06:50.901959Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T08:04:29.012591Z

Reference resolution

41 of 41 outbound references displayed

verified exact2
verified fuzzy0
unresolved39
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f2fa5f58-4f1f-4daf-b021-5e534733bb6f · outbound

This paper cites online" 'onlinestring :=.

Effective Reinforcement Learning for Reasoning in Language Models online" 'onlinestring :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:14.897391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97841ca2-85be-437f-b2a4-1f9298a55adc · outbound

This paper cites write newline.

Effective Reinforcement Learning for Reasoning in Language Models write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:14.982183Z

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Observation 8e0692bc-14ce-48d8-b019-878a3bfab9f4 · outbound

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

Effective Reinforcement Learning for Reasoning in Language Models Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:15.099420Z

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Observation 301d928e-21e4-4ad1-be3a-a639961f7515 · outbound

This paper cites Program Synthesis with Large Language Models.

Effective Reinforcement Learning for Reasoning in Language Models Program Synthesis with Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:15.184375Z

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Observation 81179bea-7776-4a74-bbd2-e377439404e0 · outbound

This paper cites an unresolved cited work.

Effective Reinforcement Learning for Reasoning in Language Models Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:15.274117Z

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Observation 3a52da57-1d21-4abd-889f-50538f316495 · outbound

This paper cites FireAct: Toward Language Agent Fine-tuning.

Effective Reinforcement Learning for Reasoning in Language Models FireAct: Toward Language Agent Fine-tuning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:15.384955Z

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Observation f7537b4e-1f81-47a5-bbc7-9a03136413ba · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Effective Reinforcement Learning for Reasoning in Language Models Evaluating Large Language Models Trained on Code

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:15.576588Z

Source-reported events for the cited work

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Observation 39563835-0abf-4359-9613-2f588b7937b3 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Effective Reinforcement Learning for Reasoning in Language Models Training Verifiers to Solve Math Word Problems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:15.755879Z

Source-reported events for the cited work

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Observation f966a498-ec37-4cf1-9e01-3eccea43e577 · outbound

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

Effective Reinforcement Learning for Reasoning in Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:15.955208Z

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Observation 5c1df620-03e1-4f3e-8d84-d1bd9aef3e45 · outbound

This paper cites DeepSeek-V3 Technical Report.

Effective Reinforcement Learning for Reasoning in Language Models DeepSeek-V3 Technical Report

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:16.075367Z

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Observation c0f4e25b-0026-4598-9290-4d4737d2310e · outbound

This paper cites FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI.

Effective Reinforcement Learning for Reasoning in Language Models FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:16.257566Z

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Observation 050c12db-bcab-42ea-804c-9a2547a3080e · outbound

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

Effective Reinforcement Learning for Reasoning in Language Models Measuring Mathematical Problem Solving With the MATH Dataset

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:16.401585Z

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Observation 6eccfac8-72d1-48ae-a614-79ee08b6f4d0 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Effective Reinforcement Learning for Reasoning in Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:16.492420Z

Source-reported events for the cited work

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Observation 36ce54ae-9fc4-43f3-b569-e7d0796fb5b8 · outbound

This paper cites Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog.

Effective Reinforcement Learning for Reasoning in Language Models Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:16.588380Z

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Observation 63b5de8a-0e45-4078-b03c-0c1fcbee1a0e · outbound

This paper cites VinePPO: Refining Credit Assignment in RL Training of LLMs.

Effective Reinforcement Learning for Reasoning in Language Models VinePPO: Refining Credit Assignment in RL Training of LLMs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:16.694006Z

Source-reported events for the cited work

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Observation 7b12b335-90f4-4257-9d3f-91771ac5fa9d · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

Effective Reinforcement Learning for Reasoning in Language Models Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:16.814005Z

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Observation 733bbca4-b1e2-4ed9-8c6a-204e78ee2a8f · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Effective Reinforcement Learning for Reasoning in Language Models Gonzalez, Hao Zhang, and Ion Stoica

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:16.939493Z

Source-reported events for the cited work

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Observation e517c5bc-b108-4c77-9ac9-9608e45ca82c · outbound

This paper cites Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks.

Effective Reinforcement Learning for Reasoning in Language Models Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:56:19.192058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 270e01a2-50f5-47df-a1bd-76d15e791718 · outbound

This paper cites Let's Verify Step by Step.

Effective Reinforcement Learning for Reasoning in Language Models Let's Verify Step by Step

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:17.083444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 042a3e37-ed0d-4921-8777-21f179c4531d · outbound

This paper cites an unresolved cited work.

Effective Reinforcement Learning for Reasoning in Language Models Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:17.162071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e601eb6-26b0-4b54-bddb-8822e369e2dd · outbound

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

Effective Reinforcement Learning for Reasoning in Language Models Understanding R1-Zero-Like Training: A Critical Perspective

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:17.239533Z

Source-reported events for the cited work

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Observation 814140a9-8ba0-4f56-bf05-c33cc0f80a66 · outbound

This paper cites s1: Simple test-time scaling.

Effective Reinforcement Learning for Reasoning in Language Models s1: Simple test-time scaling

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:17.321965Z

Source-reported events for the cited work

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Observation 43182d4f-8861-4cee-83b8-1500f8c0036a · outbound

This paper cites Self-Imitation Learning.

Effective Reinforcement Learning for Reasoning in Language Models Self-Imitation Learning

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:56:19.033963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3f68f129-c728-4c2e-a650-2d86c599d465 · outbound

This paper cites an unresolved cited work.

Effective Reinforcement Learning for Reasoning in Language Models Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:17.461424Z

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Observation 545294a5-5926-460a-b977-543dba9b152a · outbound

This paper cites CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks.

Effective Reinforcement Learning for Reasoning in Language Models CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:17.548731Z

Source-reported events for the cited work

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Observation 780eb4ef-b32b-40c1-95a6-d78ffba76438 · outbound

This paper cites Qwen2.5 Technical Report.

Effective Reinforcement Learning for Reasoning in Language Models Qwen2.5 Technical Report

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:17.628210Z

Source-reported events for the cited work

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Observation 8e56e107-4a44-4340-ba18-a94071a5042e · outbound

This paper cites ZeRO: Memory Optimizations Toward Training Trillion Parameter Models.

Effective Reinforcement Learning for Reasoning in Language Models ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:17.692371Z

Source-reported events for the cited work

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Observation 639f44f9-78aa-41e0-aa57-6ad4818c4c78 · outbound

This paper cites Trust Region Policy Optimization.

Effective Reinforcement Learning for Reasoning in Language Models Trust Region Policy Optimization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:17.748538Z

Source-reported events for the cited work

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Observation 2dfa1d65-2157-41e4-9722-60757a500681 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Effective Reinforcement Learning for Reasoning in Language Models Proximal Policy Optimization Algorithms

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:17.830451Z

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Observation ac161ae9-b028-48b7-a580-d042a309d5dd · outbound

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

Effective Reinforcement Learning for Reasoning in Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:17.886290Z

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Observation 4a691dc3-28f2-4255-be38-cd450d3a1558 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Effective Reinforcement Learning for Reasoning in Language Models Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:17.978553Z

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Observation 7cbbb8d0-7fd2-4f2a-b8aa-45c296fd114c · outbound

This paper cites an unresolved cited work.

Effective Reinforcement Learning for Reasoning in Language Models Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:18.023760Z

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Observation 5a2659db-8d4f-42df-ae76-e81e7824c3df · outbound

This paper cites Sutton and Andrew G.

Effective Reinforcement Learning for Reasoning in Language Models Sutton and Andrew G

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:18.097191Z

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Observation 6da98b5e-23a4-40ed-b66b-21c67f6ce3bd · outbound

This paper cites an unresolved cited work.

Effective Reinforcement Learning for Reasoning in Language Models Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:56:19.435126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9fbd850b-24ad-4320-b377-21e8ef4a88a9 · outbound

This paper cites Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.

Effective Reinforcement Learning for Reasoning in Language Models Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:18.266807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c16523a4-1438-4de7-833b-e12e8e102578 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Effective Reinforcement Learning for Reasoning in Language Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:18.335444Z

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Observation fe47ffdc-66f5-4879-8e9c-6fde23034d61 · outbound

This paper cites Base Models Beat Aligned Models at Randomness and Creativity.

Effective Reinforcement Learning for Reasoning in Language Models Base Models Beat Aligned Models at Randomness and Creativity

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:18.386633Z

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Observation fd47ed01-d16f-429a-a201-48e1db98f6d8 · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Effective Reinforcement Learning for Reasoning in Language Models Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:18.475326Z

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Observation 26c10c2e-0fc2-438c-8532-43fa80c9e67c · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Effective Reinforcement Learning for Reasoning in Language Models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:18.537200Z

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Observation 4eca98ce-8d50-4895-9a5f-eb59a07aa06b · outbound

This paper cites AgentTuning: Enabling Generalized Agent Abilities for LLMs.

Effective Reinforcement Learning for Reasoning in Language Models AgentTuning: Enabling Generalized Agent Abilities for LLMs

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:18.612262Z

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Observation 25824708-5506-4a7e-bee0-b07e9bc130f3 · outbound

This paper cites SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild.

Effective Reinforcement Learning for Reasoning in Language Models SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:18.716371Z

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Pith citing papers

Observation 994ae51c-3fec-4000-86d4-ddd81495384d · inbound

PS-PPO: Prefix-Sampling PPO for Critic-Free RLHF cites this paper.

PS-PPO: Prefix-Sampling PPO for Critic-Free RLHF Effective Reinforcement Learning for Reasoning in Language Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:04:29.013956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c7e51b63-acdb-44de-a9fd-2741712cc433 · inbound

SLPO: Scaling Latent Reasoning via a Surrogate Policy cites this paper.

SLPO: Scaling Latent Reasoning via a Surrogate Policy Effective Reinforcement Learning for Reasoning in Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T12:06:50.901959Z

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Unavailable: canonical work link unavailable.