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Paper Citation Record · LEDGER

Synthesizing mixed-integer linear programming models from natural language descriptions

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:55:41.377014Z

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 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:e8b7fb24873bf3756070d1f7cc6dc28239e70343b0cdaea8a2bb46493a03c9ac

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-09T19:50:39.734124Z digest=sha256:aeaa23c7dbc8fa37a8dad051292bcbdb72645a643c7273b1984fd95d789860c4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T02:38:45.322351Z digest=sha256:e81bcfdd31c2d1aa79ad76ba2dbbbf6e6706a41115ea1bf1d2bec448d7fb20c7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T03:56:29.983335Z digest=sha256:8dbde3b89f0a5780a29968894edf6dbde3766197046815f471522838ff97e9cf

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=sha256:759e6db40bac753e267b255b5fcf1553c2986ec67447bc454131646528595e02