Paper Citation Record · LEDGER

Boosting LLM Reasoning via Spontaneous Self-Correction

As of 22 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 7 inbound Pith citation observations for arXiv:2506.06923.

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

pith.paper-citation-record.v1
2506.06923 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:51:30.802158Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T02:12:24.953400Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

44 of 44 outbound references displayed

verified exact0
verified fuzzy7
unresolved37
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 72f5906c-14e6-4017-99f2-6a8016d04b9f · outbound

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

Boosting LLM Reasoning via Spontaneous Self-Correction Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.646607Z

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Observation 1ffdbfdd-1f2c-4183-a0a0-8869dca2b8a3 · outbound

This paper cites AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition.

Boosting LLM Reasoning via Spontaneous Self-Correction AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.655211Z

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Observation 821ba7ec-47d2-4c1a-9730-cdf55bfb9a5f · outbound

This paper cites RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment.

Boosting LLM Reasoning via Spontaneous Self-Correction RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.658951Z

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Observation 21619a22-cada-4584-ad50-89d5977f8072 · outbound

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

Boosting LLM Reasoning via Spontaneous Self-Correction DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.666323Z

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Observation 5fcfeb08-6ff6-4638-acff-9a8ffcd9f872 · outbound

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

Boosting LLM Reasoning via Spontaneous Self-Correction Measuring Mathematical Problem Solving With the MATH Dataset

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.673543Z

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Observation 064fd908-3486-44a2-9119-af0b37e847b5 · outbound

This paper cites Training Language Models to Self-Correct via Reinforcement Learning.

Boosting LLM Reasoning via Spontaneous Self-Correction Training Language Models to Self-Correct via Reinforcement Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.680647Z

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Observation 6480e74e-4923-47ad-a159-a15f1759e899 · outbound

This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.

Boosting LLM Reasoning via Spontaneous Self-Correction Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.684280Z

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Observation c3faa4b9-3db5-410e-b94e-bd522d5d2203 · outbound

This paper cites Let's Verify Step by Step.

Boosting LLM Reasoning via Spontaneous Self-Correction Let's Verify Step by Step

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.687632Z

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Observation 2d5e7b6f-4e1c-4faf-9f00-b351615363dd · outbound

This paper cites S$^2$R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning.

Boosting LLM Reasoning via Spontaneous Self-Correction S$^2$R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.691200Z

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Observation 639f6b94-bffe-4676-8378-ca4216a1b2b4 · outbound

This paper cites Deepseek-r1 thoughtology: Let’s think about llm reasoning.arXiv preprint arXiv:2504.07128,.

Boosting LLM Reasoning via Spontaneous Self-Correction Deepseek-r1 thoughtology: Let’s think about llm reasoning.arXiv preprint arXiv:2504.07128,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.694647Z

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Observation e255617b-dfeb-4c4b-87f2-5a314ab0dbf4 · outbound

This paper cites Orca-Math: Unlocking the potential of SLMs in Grade School Math.

Boosting LLM Reasoning via Spontaneous Self-Correction Orca-Math: Unlocking the potential of SLMs in Grade School Math

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.697849Z

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Observation e0864680-2e7a-469e-8c9a-8d99867be80d · outbound

This paper cites Malt: Improving reasoning with multi-agent llm training.

Boosting LLM Reasoning via Spontaneous Self-Correction Malt: Improving reasoning with multi-agent llm training

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.701201Z

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Observation 22a7ff88-7d46-4db5-ab0c-6d65423d6042 · outbound

This paper cites Recursive Introspection: Teaching Language Model Agents How to Self-Improve.

Boosting LLM Reasoning via Spontaneous Self-Correction Recursive Introspection: Teaching Language Model Agents How to Self-Improve

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.708193Z

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Observation a87dd523-30df-455b-8f44-7739100a0701 · outbound

This paper cites Self-critiquing models for assisting human evaluators.

Boosting LLM Reasoning via Spontaneous Self-Correction Self-critiquing models for assisting human evaluators

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.711791Z

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Observation 2d8a13ba-1438-4563-baba-31d72530b596 · outbound

This paper cites Generating Sequences by Learning to Self-Correct.

Boosting LLM Reasoning via Spontaneous Self-Correction Generating Sequences by Learning to Self-Correct

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.726142Z

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Observation bf952e5b-92b0-464d-b2bf-5bc6059a3ee0 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Boosting LLM Reasoning via Spontaneous Self-Correction AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.729872Z

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Observation 45d72fcc-112d-4e52-9821-6762d0f869d5 · outbound

This paper cites Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought.

Boosting LLM Reasoning via Spontaneous Self-Correction Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.733420Z

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Observation 2cbcdcb0-37db-4fba-b52b-61e85f8acf78 · outbound

This paper cites Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint.

Boosting LLM Reasoning via Spontaneous Self-Correction Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.736946Z

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Observation a00c80d3-824f-4ab2-922a-582cb76fbd30 · outbound

This paper cites Self-rewarding correction for mathematical reasoning.

Boosting LLM Reasoning via Spontaneous Self-Correction Self-rewarding correction for mathematical reasoning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.740802Z

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Observation d9d12446-f629-4000-8a3e-681432b58a87 · outbound

This paper cites The Perfect Blend: Redefining RLHF with Mixture of Judges.

Boosting LLM Reasoning via Spontaneous Self-Correction The Perfect Blend: Redefining RLHF with Mixture of Judges

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.744527Z

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Observation 481e8170-2563-43b9-ac69-ffd75e58a9eb · outbound

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

Boosting LLM Reasoning via Spontaneous Self-Correction Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.748032Z

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Observation a6724760-13bd-44c8-bab3-1b31fdef9bd7 · outbound

This paper cites Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems.

Boosting LLM Reasoning via Spontaneous Self-Correction Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.751555Z

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Observation 10ff8058-bac5-4f70-b4b2-50d5cd7b6289 · outbound

This paper cites Generative Verifiers: Reward Modeling as Next-Token Prediction.

Boosting LLM Reasoning via Spontaneous Self-Correction Generative Verifiers: Reward Modeling as Next-Token Prediction

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.754913Z

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Observation 2a0cdfcf-6cc6-42af-b74c-338472202853 · outbound

This paper cites Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts Critic.

Boosting LLM Reasoning via Spontaneous Self-Correction Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts Critic

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.758539Z

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Observation 521ee6e4-ca2e-4d74-be1b-ff9f04abe176 · outbound

This paper cites an unresolved cited work.

Boosting LLM Reasoning via Spontaneous Self-Correction Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:51:31.675414Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a46726ca-a597-4e2a-8506-f48cb7332d72 · outbound

This paper cites This test set spans five difficulty levels and seven subjects, which promotes a comprehensive evaluation of reasoning capabilities.

Boosting LLM Reasoning via Spontaneous Self-Correction This test set spans five difficulty levels and seven subjects, which promotes a comprehensive evaluation of reasoning capabilities

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:31.666950Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 206d89b9-7f9a-4304-a511-5fe7b7a0cbe1 · outbound

This paper cites I think the solution is correct.

Boosting LLM Reasoning via Spontaneous Self-Correction I think the solution is correct

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:31.657876Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b056555e-06dd-419d-9c78-59a1b9ef497d · outbound

This paper cites an unresolved cited work.

Boosting LLM Reasoning via Spontaneous Self-Correction Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:51:31.639788Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 27a73b57-0698-48bc-83af-f9b116da876a · outbound

This paper cites ## Step 4: Verify if $ a = 1 $ satisfies the conditions of the problem.

Boosting LLM Reasoning via Spontaneous Self-Correction ## Step 4: Verify if $ a = 1 $ satisfies the conditions of the problem

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:31.630855Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c5523e90-8edf-4613-b87e-db957766b547 · outbound

This paper cites This means $ r^2 = 2009 $ is not possible for any integer $ r $ since 2009 is not a perfect square.

Boosting LLM Reasoning via Spontaneous Self-Correction This means $ r^2 = 2009 $ is not possible for any integer $ r $ since 2009 is not a perfect square

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:31.620687Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9da34c37-d85e-4443-b0ac-74daaee1a0ce · outbound

This paper cites Thus, $ b = 1 $ is not possible since $ a < b $, implying $ a $ would have to be less than 1, which is not possible for positive integers.

Boosting LLM Reasoning via Spontaneous Self-Correction Thus, $ b = 1 $ is not possible since $ a < b $, implying $ a $ would have to be less than 1, which is not possible for positive integers

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:31.608898Z

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Observation 316997fc-3f4d-49ad-bfa6-4147c8b15705 · outbound

This paper cites an unresolved cited work.

Boosting LLM Reasoning via Spontaneous Self-Correction Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:51:31.506712Z

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Observation 4e7bab44-6516-491d-bac4-cf78265fcb73 · outbound

This paper cites an unresolved cited work.

Boosting LLM Reasoning via Spontaneous Self-Correction Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:51:31.358409Z

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Observation 3a97133e-bba6-480b-856a-a065388f58cb · outbound

This paper cites Thus, $ r^2 = 1 $, giving $ r = 1 $ or $ r = -1 $.

Boosting LLM Reasoning via Spontaneous Self-Correction Thus, $ r^2 = 1 $, giving $ r = 1 $ or $ r = -1 $

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:31.321319Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 97e67abb-7f35-4632-a4f8-1d62ac7e2da8 · outbound

This paper cites an unresolved cited work.

Boosting LLM Reasoning via Spontaneous Self-Correction Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:51:31.291891Z

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Observation f155d4f3-4747-4e7c-872a-8db3d2a0e2ea · outbound

This paper cites REFINER: Reasoning Feedback on Intermediate Representations.

Boosting LLM Reasoning via Spontaneous Self-Correction REFINER: Reasoning Feedback on Intermediate Representations

Reference 1994

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.704566Z

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Observation 1c712f5b-949f-4280-a6ee-3b068b91deb3 · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

Boosting LLM Reasoning via Spontaneous Self-Correction Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.719001Z

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Observation c5819207-0b3a-4ae6-aabe-69630fdf17be · outbound

This paper cites To find the factors of 2009, we can start by checking for its prime factorization.

Boosting LLM Reasoning via Spontaneous Self-Correction To find the factors of 2009, we can start by checking for its prime factorization

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:31.649171Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7290b59d-4f0d-4708-af25-53e0c5171f20 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Boosting LLM Reasoning via Spontaneous Self-Correction Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.722541Z

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Observation 57ab5821-d2de-4f18-a0c1-e2d79764e2e1 · outbound

This paper cites Large Language Models Cannot Self-Correct Reasoning Yet.

Boosting LLM Reasoning via Spontaneous Self-Correction Large Language Models Cannot Self-Correct Reasoning Yet

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.677062Z

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Observation 1377f845-2e76-4d66-a6cc-ee47c3cde664 · outbound

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

Boosting LLM Reasoning via Spontaneous Self-Correction DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.715663Z

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Observation f1949295-9ccd-4115-96c8-d4df2ae36cc4 · outbound

This paper cites The Llama 3 Herd of Models.

Boosting LLM Reasoning via Spontaneous Self-Correction The Llama 3 Herd of Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.662886Z

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Observation d5a81be3-6384-4657-9ab5-a0f67f876325 · outbound

This paper cites RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs.

Boosting LLM Reasoning via Spontaneous Self-Correction RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.651067Z

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Observation b210253c-344a-4e54-93cf-2142dcf91728 · outbound

This paper cites GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements.

Boosting LLM Reasoning via Spontaneous Self-Correction GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:30.670012Z

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Pith citing papers

Observation 1b132b7c-82ef-4045-8111-aef36f124d68 · inbound

Failure Makes the Agent Stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool Interactions cites this paper.

Failure Makes the Agent Stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool Interactions Boosting LLM Reasoning via Spontaneous Self-Correction

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:01:31.324902Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 86faf3ca-6145-4caf-afeb-ba9ece208066 · inbound

Token-Level LLM Collaboration via FusionRoute cites this paper.

Token-Level LLM Collaboration via FusionRoute Boosting LLM Reasoning via Spontaneous Self-Correction

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-22T12:26:31.592686Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ba8d26e6-7c0c-4fbe-8735-0607b64bd0e5 · inbound

The Self-Correction Illusion: Role Relabeling Gates Explicit Error Flagging in Large Language Models cites this paper.

The Self-Correction Illusion: Role Relabeling Gates Explicit Error Flagging in Large Language Models Boosting LLM Reasoning via Spontaneous Self-Correction

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-06-28T01:31:29.317466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d859d439-49c4-4f68-94c9-544189e6e1dc · inbound

ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning cites this paper.

ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning Boosting LLM Reasoning via Spontaneous Self-Correction

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:08:33.339023Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8c53babe-d41d-4111-b267-a2debe949841 · inbound

ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning cites this paper.

ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning Boosting LLM Reasoning via Spontaneous Self-Correction

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-03T02:12:24.953400Z

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Observation 8c74e4ae-a7d8-4650-a512-401250934550 · inbound

Mixture of Debaters: Learn to Debate at Architectural Level in Multi-Agent Reasoning cites this paper.

Mixture of Debaters: Learn to Debate at Architectural Level in Multi-Agent Reasoning Boosting LLM Reasoning via Spontaneous Self-Correction

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:14:20.884384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 44d7a380-53a1-459e-874b-f727b8fb1aba · inbound

SVR-R1: Bootstrapping Multi-modal Reasoning with Self-verification in Reinforcement Learning cites this paper.

SVR-R1: Bootstrapping Multi-modal Reasoning with Self-verification in Reinforcement Learning Boosting LLM Reasoning via Spontaneous Self-Correction

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-14T07:59:56.441098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.