Paper Citation Record · LEDGER

OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2402.10176.

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

pith.paper-citation-record.v1
2402.10176 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:36:29.130196Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T18:17:33.884574Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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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 d17fe6da-b6cc-4608-972f-a4cf8b53a4e7 · inbound

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs cites this paper.

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T23:58:29.190696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c59e5fd0-f2fc-4845-bb61-65e06aeb48b8 · inbound

BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices cites this paper.

BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 117

Resolution: unresolved; no resolver link, observed 2026-08-12T19:33:00.973681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3454ee7-84c5-4843-a610-8b5660d27b35 · inbound

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models cites this paper.

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 191

Resolution: unresolved; no resolver link, observed 2026-08-11T22:57:02.025496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 756b4e2c-e938-48a9-b014-e399386d5f86 · inbound

CoinMath: Harnessing the Power of Coding Instruction for Math LLMs cites this paper.

CoinMath: Harnessing the Power of Coding Instruction for Math LLMs OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T14:44:12.855418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b476cf6b-f17f-4eec-89a1-83ada1013fa7 · inbound

Channel Merging: Preserving Specialization for Merged Experts cites this paper.

Channel Merging: Preserving Specialization for Merged Experts OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T12:40:16.279886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12e1e2ce-e8eb-4fe8-b7d5-72f1adaa0654 · inbound

Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining cites this paper.

Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T12:34:16.793493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcad2363-5df2-44b1-a0ac-0ecd4936744d · inbound

YuLan-Mini: An Open Data-efficient Language Model cites this paper.

YuLan-Mini: An Open Data-efficient Language Model OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-11T05:17:55.893662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 604bf68c-ce34-4a14-98d4-5241734a0f54 · inbound

Dynamic Skill Adaptation for Large Language Models cites this paper.

Dynamic Skill Adaptation for Large Language Models OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:46.280584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4698a69-e795-4470-8dea-8bbe427d9c4c · inbound

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models cites this paper.

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 177

Resolution: unresolved; no resolver link, observed 2026-08-10T18:04:34.762554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec35cf08-3246-490b-97a5-75cac39869bd · inbound

To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization cites this paper.

To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T18:07:52.204631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aedcdeab-651d-4064-9ab3-98c7d6bd8c9a · inbound

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training cites this paper.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:36.740535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a47aa1ff-fe0d-4720-b0a2-e2571d6b4ae0 · inbound

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model cites this paper.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 146

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:23.658012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 471f92e2-a3f0-46f5-be09-2bb963a0d80d · inbound

NeMo-Inspector: A Visualization Tool for LLM Generation Analysis cites this paper.

NeMo-Inspector: A Visualization Tool for LLM Generation Analysis OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:29.130196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e2c220c-bebc-4cfb-9fcd-32ab18d0c45a · inbound

The Aloe Family Recipe for Open and Specialized Healthcare LLMs cites this paper.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T23:36:29.881826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2e1eab8-a5dc-448a-9fcc-ecfb27978475 · inbound

Kalman Filter Enhanced GRPO for Reinforcement Learning-Based Language Model Reasoning cites this paper.

Kalman Filter Enhanced GRPO for Reinforcement Learning-Based Language Model Reasoning OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:51:45.642038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dac958e1-052f-40cb-b0e9-838211590ea5 · inbound

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning cites this paper.

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:21.566759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dfd7160-01e1-4910-accc-69f467d5916d · inbound

Towards Spoken Mathematical Reasoning: Benchmarking Speech-based Models over Multi-faceted Math Problems cites this paper.

Towards Spoken Mathematical Reasoning: Benchmarking Speech-based Models over Multi-faceted Math Problems OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:09.451527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5f8ebd3-369d-4967-8041-1895d8c2e60d · inbound

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team cites this paper.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:14.942013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f75384e-28e4-4293-a4f9-85957ff60ff1 · inbound

RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation cites this paper.

RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:08.889506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbbbbc28-07f9-45d2-9a4e-30ca98fd30be · inbound

Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders cites this paper.

Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T19:08:51.294515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff4a753f-d84a-4aaf-b0b8-e6b537bc62dc · inbound

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code cites this paper.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:59.471326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73b0262b-bf97-4d49-a9a8-fa423f51a54b · inbound

Technical Report of TeleChat2, TeleChat2.5 and T1 cites this paper.

Technical Report of TeleChat2, TeleChat2.5 and T1 OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:25.483084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38461d5c-a308-43d1-b89d-ea810d884c93 · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 214

Resolution: unresolved; no resolver link, observed 2026-08-03T08:15:33.044123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6395c9b2-df9d-4c12-8b79-40a479676459 · inbound

LACE: Lattice Attention for Cross-thread Exploration cites this paper.

LACE: Lattice Attention for Cross-thread Exploration OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:24:21.260279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 16110f3f-cd12-4888-acc0-7863ab00cc96 · inbound

LACE: Lattice Attention for Cross-thread Exploration cites this paper.

LACE: Lattice Attention for Cross-thread Exploration OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:50:50.102667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d1575dc0-314a-4c1e-af5c-b1711e6ac1f9 · inbound

LACE: Lattice Attention for Cross-thread Exploration cites this paper.

LACE: Lattice Attention for Cross-thread Exploration OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:36:28.613113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 43baf9d1-cbe4-4f70-b60d-4c24ed52770f · inbound

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation cites this paper.

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:05:53.598587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 00fa99fc-893c-4635-b27f-721c2ea0447d · inbound

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation cites this paper.

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:31:24.888136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bb7a259c-8a56-495b-89fe-160b9a18435a · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 79

Resolution: unresolved; no resolver link, observed 2026-07-11T13:53:36.775836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e708e9c-c64e-4a44-9328-82b071028f5d · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-02T08:40:40.446065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e74047b-d01e-41fb-9376-0ea500c767f0 · inbound

From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier cites this paper.

From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Reference 225

Resolution: verified exact; local_arxiv, observed 2026-07-10T18:17:33.885759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.