Paper Citation Record · LEDGER

A Survey on Large Language Models for Mathematical Reasoning

As of 8 August 2026, this Paper Citation Record lists 100 of 119 outbound references and 7 inbound Pith citation observations for arXiv:2506.08446.

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

pith.paper-citation-record.v1
2506.08446 v1

Coverage vector

measured 100 of 119 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:14:47.638235Z

measured 107 of 107 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:11:55.947139Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:15:44.913239Z

Reference resolution

100 of 119 outbound references displayed

verified exact3
verified fuzzy0
unresolved97
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92858079-d068-4c85-b5aa-fde45d646d5c · outbound

This paper cites MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms.

A Survey on Large Language Models for Mathematical Reasoning MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:44.064986Z

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Observation 850786d7-7666-4924-99e1-566927d8c5ec · outbound

This paper cites A General Language Assistant as a Laboratory for Alignment.

A Survey on Large Language Models for Mathematical Reasoning A General Language Assistant as a Laboratory for Alignment

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:44.481427Z

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Observation 423ddb73-26b3-45a4-9256-21baaab7ffb0 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

A Survey on Large Language Models for Mathematical Reasoning Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:44.639711Z

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Observation d7f4873e-9094-4262-84c6-2291596e9148 · outbound

This paper cites Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning.

A Survey on Large Language Models for Mathematical Reasoning Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:44.763862Z

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Observation cf7e1040-bede-4c42-b203-413bc87f8b2f · outbound

This paper cites Reasoning Models Don't Always Say What They Think.

A Survey on Large Language Models for Mathematical Reasoning Reasoning Models Don't Always Say What They Think

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:45.045847Z

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Observation 9c986e83-df6e-4663-9a83-cdbc962c7a3f · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

A Survey on Large Language Models for Mathematical Reasoning Training Verifiers to Solve Math Word Problems

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:45.138451Z

Source-reported events for the cited work

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Observation 6a227e99-86ec-48fe-85ab-3e4f0d033d91 · outbound

This paper cites MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning.

A Survey on Large Language Models for Mathematical Reasoning MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:45.261962Z

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Observation af8f3ab8-7235-4853-a28a-a49f70889915 · outbound

This paper cites Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving.

A Survey on Large Language Models for Mathematical Reasoning Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:45.303181Z

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Observation e57622d0-4ce0-4135-96c3-45e919579e0b · outbound

This paper cites Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch.

A Survey on Large Language Models for Mathematical Reasoning Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:45.384225Z

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Observation dd362b00-3279-4185-b41b-39c9e8c67466 · outbound

This paper cites SBI-RAG: Enhancing Math Word Problem Solving for Students through Schema-Based Instruction and Retrieval-Augmented Generation.

A Survey on Large Language Models for Mathematical Reasoning SBI-RAG: Enhancing Math Word Problem Solving for Students through Schema-Based Instruction and Retrieval-Augmented Generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:45.466712Z

Source-reported events for the cited work

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Observation e162aed7-c317-45d9-a1f4-cfce0fc533d8 · outbound

This paper cites The Llama 3 Herd of Models.

A Survey on Large Language Models for Mathematical Reasoning The Llama 3 Herd of Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:45.523595Z

Source-reported events for the cited work

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Observation 73df34a5-358e-4038-b81e-b0c55803c34f · outbound

This paper cites Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo.

A Survey on Large Language Models for Mathematical Reasoning Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:45.672892Z

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Observation aebf84d4-8319-4a43-92aa-06539e9b5cb5 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

A Survey on Large Language Models for Mathematical Reasoning Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:45.862320Z

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Observation 7dec2777-5ca8-414d-819e-7e8cc6486355 · outbound

This paper cites Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs.

A Survey on Large Language Models for Mathematical Reasoning Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:45.921793Z

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Observation dd7418e1-cbc1-491f-965f-cacd444a1bd3 · outbound

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

A Survey on Large Language Models for Mathematical Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:46.022492Z

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Observation 43ba7354-210c-4d19-9a5a-b8be636546a3 · outbound

This paper cites Learning Beyond Pattern Matching? Assaying Mathematical Understanding in LLMs.

A Survey on Large Language Models for Mathematical Reasoning Learning Beyond Pattern Matching? Assaying Mathematical Understanding in LLMs

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:14:49.278348Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6bbbcc34-bb4b-4f3a-abe9-304fe9f00ac8 · outbound

This paper cites an unresolved cited work.

A Survey on Large Language Models for Mathematical Reasoning Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:46.160046Z

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Observation 989216b6-51eb-4a3c-9f83-c3722f59e5a3 · outbound

This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.

A Survey on Large Language Models for Mathematical Reasoning OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:46.200213Z

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Observation a5cba8e5-883a-4f8f-bdf1-5dabade57e75 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

A Survey on Large Language Models for Mathematical Reasoning Measuring Massive Multitask Language Understanding

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:46.247204Z

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Observation 03bc3294-0ae2-4888-86e6-6f37b4863c03 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

A Survey on Large Language Models for Mathematical Reasoning Distilling the Knowledge in a Neural Network

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:46.320248Z

Source-reported events for the cited work

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Observation 88f00f23-29fb-4bf8-94ff-85ecf7829686 · outbound

This paper cites V-STaR: Training Verifiers for Self-Taught Reasoners.

A Survey on Large Language Models for Mathematical Reasoning V-STaR: Training Verifiers for Self-Taught Reasoners

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:46.382496Z

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Observation ba5265b3-05fc-496a-89d6-1fc3cfa8eafd · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

A Survey on Large Language Models for Mathematical Reasoning REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:46.417579Z

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Observation 91187198-02ae-4605-8a1c-41e7c323ee0b · outbound

This paper cites Huang, S.

A Survey on Large Language Models for Mathematical Reasoning Huang, S

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:46.498596Z

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Observation 4a3e3d71-fb7f-4721-95c4-f2d4567803fb · outbound

This paper cites Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning.

A Survey on Large Language Models for Mathematical Reasoning Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:46.545758Z

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Observation 7dad16ad-24f0-45dc-bdfe-1de6f2882d3c · outbound

This paper cites BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation.

A Survey on Large Language Models for Mathematical Reasoning BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:46.615276Z

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Observation 98dc69be-baa6-438e-8347-93f9b4bf7439 · outbound

This paper cites Controlling Large Language Model with Latent Actions.

A Survey on Large Language Models for Mathematical Reasoning Controlling Large Language Model with Latent Actions

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:46.668229Z

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Observation 92276698-cada-47d6-9c23-96e35c64541b · outbound

This paper cites Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning.

A Survey on Large Language Models for Mathematical Reasoning Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:46.708957Z

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Observation 028dd44c-b983-4b28-8faf-c48757077907 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

A Survey on Large Language Models for Mathematical Reasoning Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:46.767411Z

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Observation 19f48c8d-9eca-4a63-b045-e5846f9847a8 · outbound

This paper cites FastText.zip: Compressing text classification models.

A Survey on Large Language Models for Mathematical Reasoning FastText.zip: Compressing text classification models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:46.871334Z

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Observation b5831ea4-39e8-4076-8209-7b0759f037f6 · outbound

This paper cites Koncel-Kedziorski, S.

A Survey on Large Language Models for Mathematical Reasoning Koncel-Kedziorski, S

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.204369Z

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Observation e5b75ff6-312d-4c46-bca0-bf7366a1a13e · outbound

This paper cites Kwiatkowski, E.

A Survey on Large Language Models for Mathematical Reasoning Kwiatkowski, E

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.263202Z

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Observation 57ddbc18-1394-495a-918c-997dabc16c9a · outbound

This paper cites Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping.

A Survey on Large Language Models for Mathematical Reasoning Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.310647Z

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Observation 6b9f175b-09bf-4290-a1c0-5860167f218d · outbound

This paper cites Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference.

A Survey on Large Language Models for Mathematical Reasoning Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.315194Z

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Observation d380343b-e0fa-4e43-85c3-f8f5eb1ed691 · outbound

This paper cites Solving Quantitative Reasoning Problems with Language Models.

A Survey on Large Language Models for Mathematical Reasoning Solving Quantitative Reasoning Problems with Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.319519Z

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Observation 6dee0255-b8b4-4be3-b2bc-7589364559df · outbound

This paper cites Common 7B Language Models Already Possess Strong Math Capabilities.

A Survey on Large Language Models for Mathematical Reasoning Common 7B Language Models Already Possess Strong Math Capabilities

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.323830Z

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Observation aca1611a-9a7e-42cc-aac2-3e1b73269c53 · outbound

This paper cites ToRL: Scaling Tool-Integrated RL.

A Survey on Large Language Models for Mathematical Reasoning ToRL: Scaling Tool-Integrated RL

Reference 53

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Observation a63cf0ac-1907-4a3d-8d7d-f087791850cb · outbound

This paper cites From System 1 to System 2: A Survey of Reasoning Large Language Models.

A Survey on Large Language Models for Mathematical Reasoning From System 1 to System 2: A Survey of Reasoning Large Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.332496Z

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Observation 09e79395-936d-46a7-98ee-7cec07e863ac · outbound

This paper cites Liang, W.

A Survey on Large Language Models for Mathematical Reasoning Liang, W

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.337519Z

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Observation 1df2c8fb-993f-448a-9222-7358b3fea192 · outbound

This paper cites Let's Verify Step by Step.

A Survey on Large Language Models for Mathematical Reasoning Let's Verify Step by Step

Reference 56

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Observation 90df85d0-0cb4-48ec-a842-12ca096028a7 · outbound

This paper cites On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization.

A Survey on Large Language Models for Mathematical Reasoning On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization

Reference 57

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Observation 403d8a32-ff29-4590-a22e-5aee1a14e224 · outbound

This paper cites Rho-1: Not All Tokens Are What You Need.

A Survey on Large Language Models for Mathematical Reasoning Rho-1: Not All Tokens Are What You Need

Reference 58

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Observation cd0b74e3-e7f8-4123-afa6-7e9b08e39471 · outbound

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A Survey on Large Language Models for Mathematical Reasoning TinyGSM: achieving >80% on GSM8k with small language models

Reference 59

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Observation 4cbe8432-6f43-47d5-974b-ba53821b4941 · outbound

This paper cites Augmenting Math Word Problems via Iterative Question Composing.

A Survey on Large Language Models for Mathematical Reasoning Augmenting Math Word Problems via Iterative Question Composing

Reference 60

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Observation 34a0950d-c0c3-4a42-be75-21193a08aebf · outbound

This paper cites Improve Mathematical Reasoning in Language Models by Automated Process Supervision.

A Survey on Large Language Models for Mathematical Reasoning Improve Mathematical Reasoning in Language Models by Automated Process Supervision

Reference 61

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Observation 51d62f74-a62d-42eb-aa32-a95cc4babe5a · outbound

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A Survey on Large Language Models for Mathematical Reasoning A Survey in Mathematical Language Processing

Reference 62

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Observation 17e0d335-3124-4d7f-94a1-32fe35b845e5 · outbound

This paper cites SimPO: Simple Preference Optimization with a Reference-Free Reward.

A Survey on Large Language Models for Mathematical Reasoning SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.373279Z

Source-reported events for the cited work

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Observation eaca2e78-73e7-4e72-941b-d16778da5f75 · outbound

This paper cites Teaching language models to support answers with verified quotes.

A Survey on Large Language Models for Mathematical Reasoning Teaching language models to support answers with verified quotes

Reference 64

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Source-reported events for the cited work

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Observation 74f17dfe-d8b2-4955-9c65-d04da26f80e8 · outbound

This paper cites A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers.

A Survey on Large Language Models for Mathematical Reasoning A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers

Reference 65

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Source-reported events for the cited work

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Observation 5e987609-d3ad-4f91-abe1-e7e989bd362e · outbound

This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.

A Survey on Large Language Models for Mathematical Reasoning GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Reference 66

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Source-reported events for the cited work

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Observation 020d6ff9-4b00-424b-b5e8-73c30d22a992 · outbound

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A Survey on Large Language Models for Mathematical Reasoning Mishra, M

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.390452Z

Source-reported events for the cited work

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Observation 0ae512b6-e427-4fd1-a33d-869871d40704 · outbound

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A Survey on Large Language Models for Mathematical Reasoning s1: Simple test-time scaling

Reference 68

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Source-reported events for the cited work

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A Survey on Large Language Models for Mathematical Reasoning Are NLP Models really able to Solve Simple Math Word Problems?

Reference 69

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Source-reported events for the cited work

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Observation 37a248a9-d6a0-4500-a2e7-2bb4d3e7da51 · outbound

This paper cites ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement.

A Survey on Large Language Models for Mathematical Reasoning ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.403953Z

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Observation abc2e1c9-5ec0-4dc3-8259-8f4ce574e109 · outbound

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A Survey on Large Language Models for Mathematical Reasoning Unresolved cited work

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.408849Z

Source-reported events for the cited work

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Observation c41213d8-5b64-47db-a922-48ff14c5eb63 · outbound

This paper cites Proximal Policy Optimization Algorithms.

A Survey on Large Language Models for Mathematical Reasoning Proximal Policy Optimization Algorithms

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.412936Z

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Observation 2d292879-49e9-42b3-944b-7c8604848b27 · outbound

This paper cites Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning.

A Survey on Large Language Models for Mathematical Reasoning Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.417243Z

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Observation 362fc352-03c7-401b-9fc7-b3ea6258bbc9 · outbound

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

A Survey on Large Language Models for Mathematical Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.421531Z

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Observation 9fce8929-7c3b-4dd7-9c7f-21a23129442c · outbound

This paper cites Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search.

A Survey on Large Language Models for Mathematical Reasoning Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.425928Z

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Observation b90f843b-3951-4437-95a1-e045abff2fbc · outbound

This paper cites LLM With Tools: A Survey.

A Survey on Large Language Models for Mathematical Reasoning LLM With Tools: A Survey

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.430521Z

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Observation 979d1d98-7b39-45f1-8d6f-5f93bc93edda · outbound

This paper cites Language Models are Multilingual Chain-of-Thought Reasoners.

A Survey on Large Language Models for Mathematical Reasoning Language Models are Multilingual Chain-of-Thought Reasoners

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.435165Z

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Observation 59e55a45-8989-4177-bb30-51b3d0214426 · outbound

This paper cites To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning.

A Survey on Large Language Models for Mathematical Reasoning To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.445151Z

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Observation d8ca55c6-c610-4492-a39b-43abdc6ec8b6 · outbound

This paper cites Learning to summarize from human feedback.

A Survey on Large Language Models for Mathematical Reasoning Learning to summarize from human feedback

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.449825Z

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Observation fcbb9b44-03ee-4613-afc5-70ca7e2c66c1 · outbound

This paper cites ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases.

A Survey on Large Language Models for Mathematical Reasoning ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.460598Z

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Observation 6112e44e-c844-4656-900a-780d7406dd0b · outbound

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

A Survey on Large Language Models for Mathematical Reasoning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.465567Z

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Observation 39fed019-8d97-404a-8f67-9f4e88353b29 · outbound

This paper cites OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data.

A Survey on Large Language Models for Mathematical Reasoning OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.470616Z

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Observation ecab038f-f639-4b9f-8f6b-0ff5f54fa06d · outbound

This paper cites Planning In Natural Language Improves LLM Search For Code Generation.

A Survey on Large Language Models for Mathematical Reasoning Planning In Natural Language Improves LLM Search For Code Generation

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.479998Z

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Observation 54fb2e41-39d7-4389-8afe-9e00bba53076 · outbound

This paper cites Chain-of-Thought Reasoning Without Prompting.

A Survey on Large Language Models for Mathematical Reasoning Chain-of-Thought Reasoning Without Prompting

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.484973Z

Source-reported events for the cited work

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Observation 436646e0-5c66-404e-8563-54bd7f7feea6 · outbound

This paper cites an unresolved cited work.

A Survey on Large Language Models for Mathematical Reasoning Unresolved cited work

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.489293Z

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Observation 5071db1e-a347-4308-b909-6cc07d7a0e06 · outbound

This paper cites Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs.

A Survey on Large Language Models for Mathematical Reasoning Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.493623Z

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Observation fc9bcd51-9b6a-45ef-9940-0bba359c9a5f · outbound

This paper cites Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions.

A Survey on Large Language Models for Mathematical Reasoning Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.502844Z

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Observation a9939626-aa35-4f40-89cd-667aa4f3b015 · outbound

This paper cites Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study.

A Survey on Large Language Models for Mathematical Reasoning Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.507268Z

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Observation 96b8d507-a2f3-417b-807c-1d4d8df6c155 · outbound

This paper cites A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges.

A Survey on Large Language Models for Mathematical Reasoning A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.511366Z

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Observation 0cbdd02f-672e-4ace-8d8c-e02727bc721c · outbound

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

A Survey on Large Language Models for Mathematical Reasoning Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.515590Z

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Observation ac5546ec-9df7-4b56-ab61-5bdf12648fba · outbound

This paper cites Looped Transformers are Better at Learning Learning Algorithms.

A Survey on Large Language Models for Mathematical Reasoning Looped Transformers are Better at Learning Learning Algorithms

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.520785Z

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Observation 94edd8fa-aa7d-4681-978a-f0cf0230288f · outbound

This paper cites LemmaHead: RAG Assisted Proof Generation Using Large Language Models.

A Survey on Large Language Models for Mathematical Reasoning LemmaHead: RAG Assisted Proof Generation Using Large Language Models

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.525722Z

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Observation 3124071d-b431-4a8c-b33f-7df13da07041 · outbound

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

A Survey on Large Language Models for Mathematical Reasoning Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.530143Z

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Observation d4a2b4e3-7922-49d6-93be-5d8aa849c85d · outbound

This paper cites LIMO: Less is More for Reasoning.

A Survey on Large Language Models for Mathematical Reasoning LIMO: Less is More for Reasoning

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.534507Z

Source-reported events for the cited work

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Observation a9a9a4f4-9812-4eb0-9fc6-58f53eb32267 · outbound

This paper cites Lean Workbook: A large-scale Lean problem set formalized from natural language math problems.

A Survey on Large Language Models for Mathematical Reasoning Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.539027Z

Source-reported events for the cited work

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Observation d56dc75e-cda6-408c-84b6-5867ff745e4d · outbound

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

A Survey on Large Language Models for Mathematical Reasoning DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.543926Z

Source-reported events for the cited work

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Observation bef27764-4685-468c-b21e-1d1a41041de7 · outbound

This paper cites Free Process Rewards without Process Labels.

A Survey on Large Language Models for Mathematical Reasoning Free Process Rewards without Process Labels

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.548062Z

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Observation 2eca3266-6d6a-4d49-8891-57e20a7381df · outbound

This paper cites MAmmoTH2: Scaling Instructions from the Web.

A Survey on Large Language Models for Mathematical Reasoning MAmmoTH2: Scaling Instructions from the Web

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.552410Z

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Observation 5b4ca524-062d-47ab-b6d6-e368299a1c91 · outbound

This paper cites Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking.

A Survey on Large Language Models for Mathematical Reasoning Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.557953Z

Source-reported events for the cited work

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Observation 23992e21-febb-44fc-9fa7-f6724f8031a0 · outbound

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

A Survey on Large Language Models for Mathematical Reasoning SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.563365Z

Source-reported events for the cited work

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Observation f71f70ce-d610-405f-826f-a07976bbf522 · outbound

This paper cites The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers.

A Survey on Large Language Models for Mathematical Reasoning The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers

Reference 105

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:14:47.902505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 898d3920-df61-443f-a8bb-61b92375818a · outbound

This paper cites LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning.

A Survey on Large Language Models for Mathematical Reasoning LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.574551Z

Source-reported events for the cited work

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Observation ec4e74dc-0903-4efc-9260-4e17c0535f2c · outbound

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

A Survey on Large Language Models for Mathematical Reasoning Generative Verifiers: Reward Modeling as Next-Token Prediction

Reference 107

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.579805Z

Source-reported events for the cited work

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Observation 88fa932b-ec92-4839-a37e-5fcf057a7eeb · outbound

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

A Survey on Large Language Models for Mathematical Reasoning Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.584200Z

Source-reported events for the cited work

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Observation 1c1541b2-6419-45e2-9d10-d52f09458061 · outbound

This paper cites A Survey of Large Language Models.

A Survey on Large Language Models for Mathematical Reasoning A Survey of Large Language Models

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.588776Z

Source-reported events for the cited work

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Observation 928d2302-cf88-4957-b914-7a68b47edec4 · outbound

This paper cites Automatic Curriculum Expert Iteration for Reliable LLM Reasoning.

A Survey on Large Language Models for Mathematical Reasoning Automatic Curriculum Expert Iteration for Reliable LLM Reasoning

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.593151Z

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Observation 82526cc1-5e50-4945-93cc-1b0404f6d1a8 · outbound

This paper cites ProcessBench: Identifying Process Errors in Mathematical Reasoning.

A Survey on Large Language Models for Mathematical Reasoning ProcessBench: Identifying Process Errors in Mathematical Reasoning

Reference 111

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.598513Z

Source-reported events for the cited work

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Observation 2a3cc23c-209f-4bcb-baf2-ff5bad5522f9 · outbound

This paper cites MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics.

A Survey on Large Language Models for Mathematical Reasoning MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics

Reference 112

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.603907Z

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Observation dd28f020-592d-4f50-a337-ffa99d744497 · outbound

This paper cites Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word Problems.

A Survey on Large Language Models for Mathematical Reasoning Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word Problems

Reference 113

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.608760Z

Source-reported events for the cited work

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Observation ee40d895-7924-4007-a0d4-ec9278bbf768 · outbound

This paper cites Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models.

A Survey on Large Language Models for Mathematical Reasoning Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models

Reference 114

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.613495Z

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Observation 4afc5bbd-4af8-4bb6-a82f-66db6fce831a · outbound

This paper cites Teaching Algorithmic Reasoning via In-context Learning.

A Survey on Large Language Models for Mathematical Reasoning Teaching Algorithmic Reasoning via In-context Learning

Reference 115

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.618381Z

Source-reported events for the cited work

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Observation 4aa692bd-fc69-43a2-88a0-5f4741231aa3 · outbound

This paper cites JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models.

A Survey on Large Language Models for Mathematical Reasoning JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models

Reference 116

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.623400Z

Source-reported events for the cited work

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Observation 7f9d84ea-ffff-426d-ad3c-29e9e9315946 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

A Survey on Large Language Models for Mathematical Reasoning Fine-Tuning Language Models from Human Preferences

Reference 117

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.627869Z

Source-reported events for the cited work

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Observation bc57096e-daec-494d-9a4e-e599ef340c00 · outbound

This paper cites An essential goal in evaluating mathematical reasoning models is to assess whether they exhibit capabilities comparable to, or exceeding, those of humans.

A Survey on Large Language Models for Mathematical Reasoning An essential goal in evaluating mathematical reasoning models is to assess whether they exhibit capabilities comparable to, or exceeding, those of humans

Reference 118

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.632619Z

Source-reported events for the cited work

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Observation da6e38ee-19e5-4a19-a50e-bab43e9ae6f5 · outbound

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A Survey on Large Language Models for Mathematical Reasoning Unresolved cited work

Reference 119

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.638235Z

Source-reported events for the cited work

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Observation 8bd2bb36-4635-4235-80c5-9c500646881b · outbound

This paper cites Why Can Large Language Models Generate Correct Chain-of-Thoughts?.

A Survey on Large Language Models for Mathematical Reasoning Why Can Large Language Models Generate Correct Chain-of-Thoughts?

Reference 1950

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.475664Z

Source-reported events for the cited work

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Observation 981061a7-936c-4eff-8bc3-69c427dbbfae · outbound

This paper cites CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?.

A Survey on Large Language Models for Mathematical Reasoning CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?

Reference 1962

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.498407Z

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Pith citing papers

Observation a467bf4f-b6ee-4efa-906b-c9030f76d49d · inbound

Proof2Hybrid: Automatic Mathematical Benchmark Synthesis for Proof-Centric Problems cites this paper.

Proof2Hybrid: Automatic Mathematical Benchmark Synthesis for Proof-Centric Problems A Survey on Large Language Models for Mathematical Reasoning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T05:11:55.947139Z

Source-reported events for the cited work

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Observation 4884c081-abb6-484b-97b8-4ca30140d06d · inbound

Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving cites this paper.

Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving A Survey on Large Language Models for Mathematical Reasoning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T06:40:26.346269Z

Source-reported events for the cited work

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Observation 3de7106d-8b8b-40ea-8e1f-b7a454f6b5a1 · inbound

MMR-GRPO: Accelerating GRPO-Style Training through Diversity-Aware Reward Reweighting cites this paper.

MMR-GRPO: Accelerating GRPO-Style Training through Diversity-Aware Reward Reweighting A Survey on Large Language Models for Mathematical Reasoning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T10:46:46.689284Z

Source-reported events for the cited work

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Observation 42edb151-c342-42d8-acae-edab792b795b · inbound

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning cites this paper.

From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning A Survey on Large Language Models for Mathematical Reasoning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:56.005103Z

Source-reported events for the cited work

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Observation bbd43a06-46e9-4f69-bbbe-4fb9553c514d · inbound

A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAM$\Delta$ Integration into Upcycled MoE cites this paper.

A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAM$\Delta$ Integration into Upcycled MoE A Survey on Large Language Models for Mathematical Reasoning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:13:13.553569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a805b500-b73e-4516-b016-59450b8ef7cc · inbound

Benchmarking Large Language Models on Floating-Point Error Classification cites this paper.

Benchmarking Large Language Models on Floating-Point Error Classification A Survey on Large Language Models for Mathematical Reasoning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:15:44.914578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 70393a12-af5c-44e1-9f0c-a4d44f2ab2b1 · inbound

FormalRx: Rectify and eXamine Semantic Failures in Autoformalization cites this paper.

FormalRx: Rectify and eXamine Semantic Failures in Autoformalization A Survey on Large Language Models for Mathematical Reasoning

Reference 136

Resolution: unresolved; no resolver link, observed 2026-07-11T15:42:50.296348Z

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