Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2209.15565.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:26:47.678377Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T00:06:18.606902Z
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 c3af580a-35cf-40af-816d-a59f3cf4fd81 · inbound
DualSchool: How Reliable are LLMs for Optimization Education? cites this paper.
DualSchool: How Reliable are LLMs for Optimization Education? Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:26:47.678377Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4990e99e-a001-428a-b368-c35fc0fcd191 · 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 Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions
Reference 99
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:55:41.487277Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2c7bc97-f44a-4488-b324-f8f6e46d6d46 · 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 Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:06:18.610346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation df7bbb8f-318e-4402-88e5-4899015dc4cb · inbound
PEARL: Solver-in-the-Loop Interactive Optimization Modeling from Natural Language cites this paper.
PEARL: Solver-in-the-Loop Interactive Optimization Modeling from Natural Language Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:04:52.461193Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a9080fc-cb1e-45e3-85f9-fa3747443361 · 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 Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:59:24.427583Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.