Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.10873.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T21:11:56.648739Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T05:08:05.298993Z
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 eb7a7864-916c-4d0b-b3ed-91a888f2ff09 · inbound
Explainable AI-assisted Optimization for Feynman Integral Reduction cites this paper.
Explainable AI-assisted Optimization for Feynman Integral Reduction Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
Reference 85
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:11:56.648739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc54e0c3-834c-49ab-9a8e-7895483bbcfe · inbound
ERFSL: An Efficient Reward Function Searcher via Language Models for Custom-Environment Multi-Objective Optimization (Student Abstract) cites this paper.
ERFSL: An Efficient Reward Function Searcher via Language Models for Custom-Environment Multi-Objective Optimization (Student Abstract) Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T05:08:05.302811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.