Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Leveraging Large Language Models to Develop Heuristics for Emerging Optimization Problems
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.03350.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:42.232890Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T03:59:32.517513Z
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 986d6ccd-fd48-4eb4-98ac-c36747ba80a2 · inbound
Using Reasoning Models to Generate Search Heuristics that Solve Open Instances of Combinatorial Design Problems cites this paper.
Using Reasoning Models to Generate Search Heuristics that Solve Open Instances of Combinatorial Design Problems Leveraging Large Language Models to Develop Heuristics for Emerging Optimization Problems
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:42.232890Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a65d8acf-d0df-44e7-b590-5b6dd96c6b01 · inbound
EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization cites this paper.
EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization Leveraging Large Language Models to Develop Heuristics for Emerging Optimization Problems
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:25:10.925887Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a454aae4-2968-4662-806b-35a6dfbb7300 · inbound
Joint User Association and Beamforming Design for ISAC Networks with Large Language Models cites this paper.
Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Leveraging Large Language Models to Develop Heuristics for Emerging Optimization Problems
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:33.566971Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37626d68-fc3d-4970-a204-ded308668428 · inbound
CoupleEvo: Evolving Heuristics for Coupled Optimization Problems Using Large Language Models cites this paper.
CoupleEvo: Evolving Heuristics for Coupled Optimization Problems Using Large Language Models Leveraging Large Language Models to Develop Heuristics for Emerging Optimization Problems
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:06:14.074343Z
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 d8fa9c3f-50ae-4331-b750-540c5a38f15b · inbound
Large Language Models for Operations Research: A Comprehensive Survey cites this paper.
Large Language Models for Operations Research: A Comprehensive Survey Leveraging Large Language Models to Develop Heuristics for Emerging Optimization Problems
Reference 88
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T03:59:32.518953Z
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.