Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Optimizing with Large Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.05204.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:33:42.602505Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T16:18:05.335815Z
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 1efc000d-03c1-4f0c-b92a-1d5d98b8fd68 · inbound
On the Convergence of Large Language Model Optimizer for Black-Box Network Management cites this paper.
On the Convergence of Large Language Model Optimizer for Black-Box Network Management Towards Optimizing with Large Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:33:42.602505Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07c99837-4769-4638-b1e8-a822e510acc0 · 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 Towards Optimizing with Large Language Models
Reference 111
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:55:41.530807Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 168412c6-e8f9-4561-be64-aed2b25284dd · inbound
OPT-Engine: Benchmarking the Limits of LLMs in Optimization Modeling via Complexity Scaling cites this paper.
OPT-Engine: Benchmarking the Limits of LLMs in Optimization Modeling via Complexity Scaling Towards Optimizing with Large Language Models
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T16:18:05.338503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e3436e0f-bf12-471d-8b86-35d5a180060a · inbound
TurboAgent: An LLM-Driven Autonomous Multi-Agent Framework for Turbomachinery Aerodynamic Design cites this paper.
TurboAgent: An LLM-Driven Autonomous Multi-Agent Framework for Turbomachinery Aerodynamic Design Towards Optimizing with Large Language Models
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:16:02.330353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.