Paper Citation Record · LEDGER

ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2405.17743.

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

pith.paper-citation-record.v1
2405.17743 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:27:14.974030Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T20:56:14.070752Z

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 0a2e4cac-cd61-49e0-950b-955ad416cfb3 · inbound

LLM-Enhanced Multi-Agent Reinforcement Learning with Expert Workflow for Real-Time P2P Energy Trading cites this paper.

LLM-Enhanced Multi-Agent Reinforcement Learning with Expert Workflow for Real-Time P2P Energy Trading ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:12:59.551175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 81f697c5-cf29-4ca7-9029-5ba4e0abbd2f · inbound

A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions cites this paper.

A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T21:27:14.974030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3beb66a4-260c-4bc6-9a9c-98bd8c71b582 · inbound

Cooperative Design Optimization through Natural Language Interaction cites this paper.

Cooperative Design Optimization through Natural Language Interaction ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T17:36:33.306381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3076776d-c1cf-414e-9185-731a7b5a7984 · inbound

EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving cites this paper.

EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:11:32.650561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 87ce9fee-4fad-4e6e-aac2-97a3c91740cc · inbound

SAC-Opt: Semantic Anchors for Iterative Correction in Optimization Modeling cites this paper.

SAC-Opt: Semantic Anchors for Iterative Correction in Optimization Modeling ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:31.012693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a127473-ca0f-46c4-9c4a-d7fa61ca7083 · inbound

PARM: Pipeline-Adapted Reward Model cites this paper.

PARM: Pipeline-Adapted Reward Model ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:28:39.530025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 87ef9565-411e-437f-af9b-e6d3171378ba · 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 ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:05:36.017614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6dffca0b-a88d-4c88-863a-d8d3bf0027d0 · inbound

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support cites this paper.

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:56:14.072221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 173692a6-3df7-4116-a0f1-a7cf01ce1040 · 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 ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling

Reference 5

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 acf9cbab-e0db-4495-b343-f2129e8c0569 · inbound

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc cites this paper.

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T13:59:23.552200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1b7b67c-17c5-465c-bda0-352860d15f53 · inbound

VeriSimpl: Robust Optimization Modeling from Natural Language using Simplification-based Verification cites this paper.

VeriSimpl: Robust Optimization Modeling from Natural Language using Simplification-based Verification ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T13:17:35.722898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a9ff112-2b6e-4f97-b4b4-6d0b6085f0cc · 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 ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T02:31:51.925566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.