Paper Citation Record · LEDGER

Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.03244.

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

pith.paper-citation-record.v1
2401.03244 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T06:01:13.266814Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:09:37.891975Z

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 f84d7a43-34f2-4587-bee8-14eea64c0160 · inbound

Evaluating LLM Reasoning in the Operations Research Domain with ORQA cites this paper.

Evaluating LLM Reasoning in the Operations Research Domain with ORQA Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:13.266814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87042e38-55fd-4ebd-8f33-deee3550c6ba · inbound

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees cites this paper.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:04.246324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e049b20f-0170-42b1-9baa-db41627d3292 · 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 Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process

Reference 154

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:31:07.851439Z

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 171d9aa6-f9a9-4e9d-8285-39f05833c1cf · 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 Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process

Reference 154

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:41:17.694130Z

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 d43be60a-7978-49f7-97c2-c7569b9393b7 · inbound

A note on the convergence guarantees of RLT-based algorithms for polynomial optimization cites this paper.

A note on the convergence guarantees of RLT-based algorithms for polynomial optimization Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:09:37.893473Z

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 99e9b267-ad44-487e-ae56-65dbd5f57b56 · 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 Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T14:04:53.442358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.