Paper Citation Record · LEDGER

OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2503.10009.

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

pith.paper-citation-record.v1
2503.10009 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:56:36.303732Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:18:22.620768Z

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 80e3175d-96bc-464f-bf10-ee9d53ca72e0 · inbound

Know the Ropes: A Heuristic Strategy for LLM-based Multi-Agent System Design cites this paper.

Know the Ropes: A Heuristic Strategy for LLM-based Multi-Agent System Design OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:36.303732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 576b9023-8e9d-42b7-bae1-8f0df5d5576a · inbound

Evaluation of LLMs for mathematical problem solving cites this paper.

Evaluation of LLMs for mathematical problem solving OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-07T12:11:11.105313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0430d228-1560-44bb-8a73-1fe1c731d7ef · inbound

Re-evaluating LLM-based Heuristic Search: A Case Study on the 3D Packing Problem cites this paper.

Re-evaluating LLM-based Heuristic Search: A Case Study on the 3D Packing Problem OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T11:49:10.186743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 601050f6-c2cc-4459-89ee-51889f9d3b7b · inbound

NEMO: Execution-Aware Optimization Modeling via Autonomous Coding Agents cites this paper.

NEMO: Execution-Aware Optimization Modeling via Autonomous Coding Agents OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

Reference 2025

Resolution: malformed identifier; no resolver link, observed 2026-08-03T07:05:53.895505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f7cfeb1-6fde-4736-8c1c-f9a0e1bd4d11 · inbound

EmbodiedGovBench: A Benchmark for Governance, Recovery, and Upgrade Safety in Embodied Agent Systems cites this paper.

EmbodiedGovBench: A Benchmark for Governance, Recovery, and Upgrade Safety in Embodied Agent Systems OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:06.641913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 845182ff-2124-4b42-a7c3-9075460ab530 · inbound

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

AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T07:11:53.578871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1b19825b-1571-4cc7-8028-cac859e9a2d9 · inbound

PARM: Pipeline-Adapted Reward Model cites this paper.

PARM: Pipeline-Adapted Reward Model OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:28:39.532640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 125da29b-c9d8-4404-9cfb-d4a49031ae50 · inbound

Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving cites this paper.

Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:46:04.325610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4be19a4c-e94f-4b44-a883-66b197903451 · inbound

OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving cites this paper.

OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:21:03.838145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e1175280-730b-45e2-8d5d-2c2d52fb01a4 · 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 OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:05:36.038016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f42cf6b7-14ef-43d8-91c8-2dbc6a19c567 · inbound

IterSIMP-{\sigma}: Evaluating LLM-Assisted Spatial Interventions in Stress-Aware Topology Optimization cites this paper.

IterSIMP-{\sigma}: Evaluating LLM-Assisted Spatial Interventions in Stress-Aware Topology Optimization OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T07:33:07.437332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 24962db8-8d34-4c3b-b005-bf619e7e7dbd · inbound

Large Language Models for Operations Research: A Comprehensive Survey cites this paper.

Large Language Models for Operations Research: A Comprehensive Survey OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

Reference 117

Resolution: verified exact; arxiv_id, observed 2026-05-21T03:59:32.516295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e62f1d2d-f4d2-4de3-bb62-9879c99cd537 · 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 OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T12:53:26.413713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b78e83ce-24ba-46bc-a346-9ee0b28607ea · inbound

ReflectiChain: Epistemic Grounding in LLM-Driven World Models for Supply Chain Resilience cites this paper.

ReflectiChain: Epistemic Grounding in LLM-Driven World Models for Supply Chain Resilience OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T04:47:38.492918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 62de5004-4320-4ab4-a867-6191c94a51ba · inbound

A$^{2}$utoLPBench: An Auto-Generated, Agent-Friendly LP Benchmark via Inverse-KKT Construction cites this paper.

A$^{2}$utoLPBench: An Auto-Generated, Agent-Friendly LP Benchmark via Inverse-KKT Construction OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:18:22.622434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cd4bab9d-84d7-4910-b679-a5cb49141d63 · inbound

YUKTI: From Natural-Language Situations to Robust, Verifiable Decisions An Uncertainty-Typed Proposition IR, Assumption-Robust Pareto Frontiers, and a Regret Certificate cites this paper.

YUKTI: From Natural-Language Situations to Robust, Verifiable Decisions An Uncertainty-Typed Proposition IR, Assumption-Robust Pareto Frontiers, and a Regret Certificate OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T17:28:29.234725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ef090ce-8a0e-4285-9b10-e15a7d088729 · inbound

Optimization and Constraint Modeling using LLMs with a Retrieval Augmented Generation Process cites this paper.

Optimization and Constraint Modeling using LLMs with a Retrieval Augmented Generation Process OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T02:31:51.931899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.