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Paper Citation Record · LEDGER

Synthesizing mixed-integer linear programming models from natural language descriptions

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2311.15271.

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

pith.paper-citation-record.v1
2311.15271 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:34:30.139643Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T03:59:32.538451Z

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 abfc01c4-1de5-462c-8d90-0153ae50fbb1 · inbound

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows cites this paper.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Synthesizing mixed-integer linear programming models from natural language descriptions

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T23:34:30.139643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:34:30.139643Z digest=sha256:7ae792db7575a831f4253dc27f34a2fc9c66e3f5c4094ac902f51de4a3f90e09

Observation 074c0b6f-c555-41f8-b639-137c7753fbfe · 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 Synthesizing mixed-integer linear programming models from natural language descriptions

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T22:44:19.210305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:44:19.210305Z digest=sha256:2d86868b0eb45d9598fccab6a6eb637d7d31f85cfaee248e2d23ded81bb913c4

Observation 02a77baf-c07e-4d3f-a93d-189472f0f466 · inbound

Step-Opt: Boosting Optimization Modeling in LLMs through Iterative Data Synthesis and Structured Validation cites this paper.

Step-Opt: Boosting Optimization Modeling in LLMs through Iterative Data Synthesis and Structured Validation Synthesizing mixed-integer linear programming models from natural language descriptions

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T19:08:50.487533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:08:50.487533Z digest=sha256:ac3e558e650986f90cdc2ab3b82957fc9d92b1b49c263793598a47fda43cead8

Observation 70fab054-2cc5-4b07-97cf-4cd73db6f723 · 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 Synthesizing mixed-integer linear programming models from natural language descriptions

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-04T20:55:41.377014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:55:41.377014Z digest=sha256:0805aa34daae2279bce05e5827bdcc25e90c58c45a3be0a528cbd548d9b7e0f9

Observation 325b864c-fd18-4664-8945-1fe7a5a9d1e0 · inbound

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees cites this paper.

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees Synthesizing mixed-integer linear programming models from natural language descriptions

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:31:08.071710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-09T19:50:39.734124Z digest=sha256:eb688f229034e9cf404eedcfcd24f07d63e42698b096883257351af70277d93c

Observation 415e10ef-0d35-4f59-93a6-efab1581dca6 · inbound

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees cites this paper.

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees Synthesizing mixed-integer linear programming models from natural language descriptions

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:41:17.713790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-12T02:38:45.322351Z digest=sha256:87151e0ed8c3bebbada946500f274defb402460ec3bb5e3f00ec464de1d48bd1

Observation 97581070-8877-4176-b7cf-ff73339e47cf · inbound

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

Large Language Models for Operations Research: A Comprehensive Survey Synthesizing mixed-integer linear programming models from natural language descriptions

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-21T03:59:32.539987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-21T03:56:29.983335Z digest=sha256:6e5b0e3b59ba49f1ea32cd15575c380055cd2d2374cbdcc1ebc406b82eb3ffe0

Observation abb0b81f-488b-4d7c-8978-83b6d7e367d0 · 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 Synthesizing mixed-integer linear programming models from natural language descriptions

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T13:59:23.869763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:59:23.869763Z digest=sha256:102a1c6dc4a70c61e61eb6ae452fda78e3be024367d8c6667832a404c9c8acf5