Paper Citation Record · LEDGER

OptiMUS: Optimization Modeling Using MIP Solvers and large language models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2310.06116.

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

pith.paper-citation-record.v1
2310.06116 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:13:14.775657Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:18:22.643367Z

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 1ec87769-8711-4a93-8354-8ff212b13e87 · inbound

MoE$^2$: Optimizing Collaborative Inference for Edge Large Language Models cites this paper.

MoE$^2$: Optimizing Collaborative Inference for Edge Large Language Models OptiMUS: Optimization Modeling Using MIP Solvers and large language models

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T20:13:14.775657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7a6f051-addb-4e5b-b219-4be562b99b8b · inbound

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach cites this paper.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach OptiMUS: Optimization Modeling Using MIP Solvers and large language models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.041197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c98a9fc8-d218-4447-af43-e54251e690ad · inbound

PACT: A Contract-Theoretic Framework for Pricing Agentic AI Services Powered by Large Language Models cites this paper.

PACT: A Contract-Theoretic Framework for Pricing Agentic AI Services Powered by Large Language Models OptiMUS: Optimization Modeling Using MIP Solvers and large language models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:41:43.021459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 265df7b6-0d1f-4534-915e-8f540c1dbb1d · inbound

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models cites this paper.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models OptiMUS: Optimization Modeling Using MIP Solvers and large language models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:32:22.131377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d7dba5d-993b-4898-a092-f826baedfb6c · inbound

Making a Case for Research Collaboration Between Artificial Intelligence and Operations Research Experts cites this paper.

Making a Case for Research Collaboration Between Artificial Intelligence and Operations Research Experts OptiMUS: Optimization Modeling Using MIP Solvers and large language models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:38.241464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 872ae1c4-363c-475d-aa11-43ba18fc5066 · inbound

LISTEN to Your Preferences: An LLM Framework for Multi-Objective Selection cites this paper.

LISTEN to Your Preferences: An LLM Framework for Multi-Objective Selection OptiMUS: Optimization Modeling Using MIP Solvers and large language models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T07:39:59.799628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2247f0d4-84c0-4f17-8688-4166124551ef · inbound

Learning to Optimize by Differentiable Programming cites this paper.

Learning to Optimize by Differentiable Programming OptiMUS: Optimization Modeling Using MIP Solvers and large language models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T08:39:28.327180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec46c776-11b0-47b6-96f5-765419f4f02e · inbound

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

AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems OptiMUS: Optimization Modeling Using MIP Solvers and large language models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:11:53.629780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5240275e-3fac-4476-a804-636a9c1b0814 · inbound

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

Co-evolving Agent Architectures and Interpretable Reasoning for Automated Optimization OptiMUS: Optimization Modeling Using MIP Solvers and large language models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:23:37.858636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 36d8d80a-cec3-4da8-8883-1cb8aca05842 · 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 OptiMUS: Optimization Modeling Using MIP Solvers and large language models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:05:35.994617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b8be8fad-eefa-4724-9571-038676e52174 · inbound

Relation Reasoning with LLMs in Expensive Optimization cites this paper.

Relation Reasoning with LLMs in Expensive Optimization OptiMUS: Optimization Modeling Using MIP Solvers and large language models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:01:09.514701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d6bd7ce4-5b91-428a-9970-7e805ee40c2c · inbound

ModelLens: Finding the Best for Your Task from Myriads of Models cites this paper.

ModelLens: Finding the Best for Your Task from Myriads of Models OptiMUS: Optimization Modeling Using MIP Solvers and large language models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:05:59.592552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f1aa3e17-46d3-49e1-a6ec-eee3373a02e1 · inbound

Agentic MIP Research: Accelerated Constraint Handler Generation cites this paper.

Agentic MIP Research: Accelerated Constraint Handler Generation OptiMUS: Optimization Modeling Using MIP Solvers and large language models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:16:16.293332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6261a4f4-7b3a-47e7-9399-a1ae62450d64 · inbound

Vehicle Routing Problem Meets Large Language Models: An Overview and Perspectives cites this paper.

Vehicle Routing Problem Meets Large Language Models: An Overview and Perspectives OptiMUS: Optimization Modeling Using MIP Solvers and large language models

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:46:48.517384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c3d22b6a-4af1-426c-8bee-24f45b9d2e7d · 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 OptiMUS: Optimization Modeling Using MIP Solvers and large language models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:18:22.644791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 44773237-5c69-4c68-b205-9f8e418f314d · 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 OptiMUS: Optimization Modeling Using MIP Solvers and large language models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T02:31:51.909472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.