Paper Citation Record · LEDGER

Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 39 inbound Pith citation observations for arXiv:2502.17387.

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

pith.paper-citation-record.v1
2502.17387 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 39 of 39 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:39:31.109183Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:39:58.415508Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 26485edc-3072-4b24-925c-5d34a4ec5208 · inbound

DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning cites this paper.

DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:31:04.818649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ee83f16d-1103-4596-9b5b-2018b82c3374 · inbound

DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training cites this paper.

DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T10:39:31.109183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33a3da34-7ee6-46b7-a0f3-3e436693dc6f · inbound

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models cites this paper.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:43.670016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfc6ffb7-03ba-4eba-9fd6-71af80d16ba8 · inbound

Exploring the Potential of Offline RL for Reasoning in LLMs: A Preliminary Study cites this paper.

Exploring the Potential of Offline RL for Reasoning in LLMs: A Preliminary Study Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T01:04:38.684571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8caaf516-6c3a-4be0-be69-13f6632377a8 · inbound

Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience cites this paper.

Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 205

Resolution: unresolved; no resolver link, observed 2026-08-15T23:31:12.685186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef46c4eb-d007-43dd-bcac-af4fe3fbe2f0 · inbound

Reward Reasoning Model cites this paper.

Reward Reasoning Model Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:34:50.264050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b167c31-980d-4731-958d-ea1dbf8b670d · inbound

SituatedThinker: Grounding LLM Reasoning with Real-World through Situated Thinking cites this paper.

SituatedThinker: Grounding LLM Reasoning with Real-World through Situated Thinking Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:21:18.385545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 587d4f97-b00c-4cbe-a252-20115473630a · inbound

Improving Multilingual Math Reasoning for African Languages cites this paper.

Improving Multilingual Math Reasoning for African Languages Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:22.136460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f97a8a18-1b56-469a-95f7-1f54877170e9 · inbound

Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles cites this paper.

Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:11:06.937762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e21e5946-6e2c-4958-aa70-05157d3d6c78 · inbound

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning cites this paper.

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:24.089154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 791f41b8-8b5a-4841-9f32-c105a5483f26 · inbound

Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs cites this paper.

Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T00:14:22.426243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f41dd2f5-c890-404e-8a61-91943603b5a6 · inbound

MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization cites this paper.

MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T15:55:42.505183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92b27c15-f29f-4181-a11c-98ad96e447ed · inbound

Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving cites this paper.

Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T10:30:44.585630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00f51b38-fa8d-4a5c-8994-ee8640e98248 · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:02:24.840613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 871fff2f-8de7-47c9-8004-2127fc9f1b20 · inbound

EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving cites this paper.

EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:11:32.564082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d02e1bcf-dcbf-4c8c-a7af-9087641b776b · inbound

Breaking the Self-Confirming Loop: Diagnosing and Mitigating Systemic Reward Bias in Self-Rewarding RL cites this paper.

Breaking the Self-Confirming Loop: Diagnosing and Mitigating Systemic Reward Bias in Self-Rewarding RL Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T10:44:29.630216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e18af844-6888-4e1a-b75e-da20f4075c36 · inbound

SPHINX: A Synthetic Environment for Visual Perception and Reasoning cites this paper.

SPHINX: A Synthetic Environment for Visual Perception and Reasoning Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:21:30.756673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f42e5f60-9a6c-4cfc-a001-1d14b14a6a21 · inbound

GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning cites this paper.

GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-02T21:05:24.244471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 255142bb-7241-47ae-aaf3-15fc3d45213d · inbound

On the Role of Reasoning Patterns in the Generalization Discrepancy of Long Chain-of-Thought Supervised Fine-Tuning cites this paper.

On the Role of Reasoning Patterns in the Generalization Discrepancy of Long Chain-of-Thought Supervised Fine-Tuning Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T22:08:20.651495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 45719082-7f4e-4f94-98cd-19f9444c2ce3 · inbound

Detecting and Suppressing Reward Hacking with Gradient Fingerprints cites this paper.

Detecting and Suppressing Reward Hacking with Gradient Fingerprints Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:22:37.577093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 69b63e41-8a87-47a3-8f37-4ce773ee594c · inbound

MathNet: a Global Multimodal Benchmark for Mathematical Reasoning and Retrieval cites this paper.

MathNet: a Global Multimodal Benchmark for Mathematical Reasoning and Retrieval Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:06:04.085088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4116eac9-a3c3-40b1-8972-e9d431b9f50c · inbound

Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student Attacks cites this paper.

Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student Attacks Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:01:02.985291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c422f2e8-8fcc-4627-85cc-0db327271bfd · inbound

$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction cites this paper.

$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:46:25.484379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 65af2582-dfcd-4132-a8b4-7b49bf4b24cd · inbound

Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs cites this paper.

Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T02:46:18.885671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 64990604-f0ab-4334-9870-fad57353e7d4 · inbound

Scalable Token-Level Hallucination Detection in Large Language Models cites this paper.

Scalable Token-Level Hallucination Detection in Large Language Models Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:52:22.428508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2107cf75-4187-41e9-931b-7d103dc5108d · inbound

Stress-Testing the Reasoning Competence of LLMs With Proofs Under Minimal Formalism cites this paper.

Stress-Testing the Reasoning Competence of LLMs With Proofs Under Minimal Formalism Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T21:19:29.208078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ae0853b1-1f32-48ed-a850-59f1bd637ca3 · inbound

Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance cites this paper.

Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:19:43.023601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1dbdf28d-a2cf-4b39-84ba-34d5fe2097de · inbound

MONA: Muon Optimizer with Nesterov Acceleration for Scalable Language Model Training cites this paper.

MONA: Muon Optimizer with Nesterov Acceleration for Scalable Language Model Training Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:23:54.125590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9c301df9-2be6-498b-a8b6-79e6b47f0dc2 · inbound

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data cites this paper.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.056489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1bf67cc3-4465-4359-93aa-6d8cc8eba11f · inbound

LLMs Are Already Good Tutors: Training-Free Prompt Optimization for Pedagogical Math Tutoring cites this paper.

LLMs Are Already Good Tutors: Training-Free Prompt Optimization for Pedagogical Math Tutoring Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:53:47.042681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ae0ae862-e140-4be1-996d-8f5b4db0e93b · inbound

Where Rollouts Begin: Low-Load, High-Leverage First-Token Diversification for RLVR cites this paper.

Where Rollouts Begin: Low-Load, High-Leverage First-Token Diversification for RLVR Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:03:24.400886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7d7824bb-7a69-4480-a017-63393c37a913 · inbound

The Tutoring Effectiveness Index: Predicting LLM Math Tutor Quality from Four Conversation Signals cites this paper.

The Tutoring Effectiveness Index: Predicting LLM Math Tutor Quality from Four Conversation Signals Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.001320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4229a3b1-0471-4e0b-b1b2-0def05f79229 · inbound

EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning cites this paper.

EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:56:29.149115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 553c98fc-cd8b-438a-a4f5-94e298da6728 · inbound

CALIBER: Calibrating Confidence Before and After Reasoning in Language Models cites this paper.

CALIBER: Calibrating Confidence Before and After Reasoning in Language Models Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:39:58.417294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a8d52ec6-e740-45ba-8bee-e16094dcb35e · inbound

GRPO, Dr. GRPO, and DAPO Are Three Operations on One Number: The Group-Standard-Deviation Identity cites this paper.

GRPO, Dr. GRPO, and DAPO Are Three Operations on One Number: The Group-Standard-Deviation Identity Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:57:19.065830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6a4d4a1d-dfc8-46ab-93ae-5bb9458538c6 · inbound

Aligning Language Models with Selective Prediction cites this paper.

Aligning Language Models with Selective Prediction Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-12T01:51:25.883463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b88bc4ac-058b-458a-800b-2418edf48972 · inbound

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models cites this paper.

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:06.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b37ddf84-76f4-437b-9745-7ec94e741c6a · inbound

Cost of Reasoning in non-English Languages: A Case Study on Japanese cites this paper.

Cost of Reasoning in non-English Languages: A Case Study on Japanese Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T14:12:44.286699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f6994d2-75e0-4909-a4a6-0a4901aee4ef · inbound

AngelSpec: Towards Real-World High Performance Inference with Speculative Decoding cites this paper.

AngelSpec: Towards Real-World High Performance Inference with Speculative Decoding Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T01:22:12.434089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.