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Paper Citation Record · LEDGER

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

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 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 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:44:19.317100Z

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 f2429d7a-0977-4531-98d0-b528c5fde3da · inbound

RideAgent: An LLM-Enhanced Optimization Framework for Automated Taxi Fleet Operations cites this paper.

RideAgent: An LLM-Enhanced Optimization Framework for Automated Taxi Fleet Operations OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T22:44:19.317100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:44:19.317100Z digest=sha256:38be8e905a1da854a4e96e7e5bdeb1ca59ed35b6d995f6734f085e15408f31d1

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.

source=arxiv_source observed=2026-08-07T14:56:36.303732Z digest=sha256:a1b17f349e9fc5575d54a044c2ca6a38fe29a016f1d2760180eac325b95ae3cf

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.

source=pdf_text observed=2026-08-07T12:11:11.105313Z digest=sha256:2c92c5449719e5516c45d8c42e97dab42db3074ba5b352cccf2e93aa88d760d0

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.

source=pdf_text observed=2026-08-05T11:49:10.186743Z digest=sha256:007092868ba5a9fa0d5f6efd25f32cb0123b4fd017bb8c46e469840a309d691f

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.

source=pdf_text observed=2026-08-03T07:05:53.895505Z digest=sha256:e7246561fbad2d1562814d4960e5f69d0865042d24bce0c3619614830340a926

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T15:21:20.231759Z digest=sha256:ff4d2997861a23adb0f87aaf33b8e522acb68e30a5b89049876caae4c2b2b3c6

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T07:02:02.992871Z digest=sha256:da5940bb7009b4bf08a8374e09a0f608c5515d1f0fd1eb5b37ed8f6439d8b8a9

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T05:15:26.015817Z digest=sha256:b33d5ef60a27029bb72021a88bb89e1147b2a90627ef56283e4434bf138780d9

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T00:37:55.147350Z digest=sha256:2fa2ddd081b971f04b88bef90d2440cb299f0f3912b89a1d1cc93d2509ca6f24

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-09T22:04:19.654714Z digest=sha256:ec29b6ef22c141956e94093edd0d43d1bad39c31eb872e664c1a4399365c246c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-08T18:55:28.204816Z digest=sha256:e5248f632ae487ec6745226e3451177cc94f4d54ce70405912efca580541e436

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-20T07:30:42.642788Z digest=sha256:b21bc6651deb415f4e6d814d7ae660aa9919ba1034ccc6bfddddcbcb5a67ea41

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-21T03:56:29.983335Z digest=sha256:4f062175f346d1b1f05c2ddcd2db6d0dd66f41d739626bae8811ec1d63003fdf

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T12:52:20.911788Z digest=sha256:3aafc3844a9056763cd382df114b894d58ae666ea811a96e924c2d47ab679d34

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T13:37:20.058710Z digest=sha256:0f3eeadd0325b2e27c4cb8840e26a18fbf8bbdb78a9e3748787f7018d2a6eb75

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-03T14:08:50.462880Z digest=sha256:d387d4cc8437600a3e3b097a1a296a229d4ce42ac687ed3db253ea70bc3eebbf

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.

source=pdf_text observed=2026-07-14T17:28:29.234725Z digest=sha256:5038994a568dd93a7c071c629f0f531730eed2def5feed858efe8fe3bc5492a5

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.

source=pdf_text observed=2026-08-04T02:31:51.931899Z digest=sha256:a488056ceae57321a467747ff16ac2c351947ec6d3017fdfff9fb8c2ac962719