Paper Citation Record · LEDGER

OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2502.11102.

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

pith.paper-citation-record.v1
2502.11102 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:55:41.457587Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T16:35:50.675754Z

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 30e2960b-b82c-4a75-b9c7-e9de6f33922f · inbound

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving cites this paper.

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-04T20:55:41.457587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7432ebbf-988a-4e68-bf7f-977597090349 · inbound

AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library cites this paper.

AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:30.222129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d2814f2-b70d-4123-b111-46eab471bce9 · inbound

OPT-Engine: Benchmarking the Limits of LLMs in Optimization Modeling via Complexity Scaling cites this paper.

OPT-Engine: Benchmarking the Limits of LLMs in Optimization Modeling via Complexity Scaling OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:18:05.351927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4b133722-1d46-49e7-99d1-7ed27ec45476 · inbound

AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems cites this paper.

AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:11:53.602936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 29839d05-aa77-4e38-a123-1fcd0ab55b99 · inbound

Co-evolving Agent Architectures and Interpretable Reasoning for Automated Optimization cites this paper.

Co-evolving Agent Architectures and Interpretable Reasoning for Automated Optimization OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:23:37.846745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1851268c-4e24-4a05-8c8c-b3ded5c96654 · inbound

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling cites this paper.

From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:06:18.510090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c4686109-f0b0-4201-8baa-c71d46bf0683 · inbound

ORPilot: A Production-Oriented Agentic LLM-for-OR Tool for Optimization Modeling cites this paper.

ORPilot: A Production-Oriented Agentic LLM-for-OR Tool for Optimization Modeling OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:05:36.024243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e74efdba-ef03-472c-8489-20da9e21e7d5 · inbound

FrontierOR: Benchmarking LLMs' Capacity for Efficient Algorithm Design in Large-Scale Optimization cites this paper.

FrontierOR: Benchmarking LLMs' Capacity for Efficient Algorithm Design in Large-Scale Optimization OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-01T16:35:50.677533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 632dce7b-fdaf-4edc-a652-3e7666f84885 · inbound

OR-Space: A Full-Lifecycle Workspace Benchmark for Industrial Optimization Agents cites this paper.

OR-Space: A Full-Lifecycle Workspace Benchmark for Industrial Optimization Agents OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:53:26.426868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4f763685-dcae-44d0-886a-4cce5ce0ed21 · inbound

Falsification-Based Verification of LLM-Generated Optimization Models: Sound Test Batteries and Their Detection Limits cites this paper.

Falsification-Based Verification of LLM-Generated Optimization Models: Sound Test Batteries and Their Detection Limits OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T20:26:10.499797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93631a12-bacc-4794-85a5-e542f0865ea8 · inbound

Search Hardness-Aware LLM-Based Problem Formulation for Expensive Simulation-Driven Design cites this paper.

Search Hardness-Aware LLM-Based Problem Formulation for Expensive Simulation-Driven Design OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T08:09:45.321302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.