Paper Citation Record · LEDGER

Large Language Models As Evolution Strategies

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.18381.

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

pith.paper-citation-record.v1
2402.18381 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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:09:10.333771Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:29:38.194106Z

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 56b55261-862a-40e4-b80d-e64adccb5c25 · inbound

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery cites this paper.

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery Large Language Models As Evolution Strategies

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:42:32.015754Z

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 882a07c7-b75c-40bd-b9fd-f94c70868c5b · inbound

Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models cites this paper.

Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models Large Language Models As Evolution Strategies

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:10.333771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e297695-3623-4ba5-b2ff-714f299c8ce4 · 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 Large Language Models As Evolution Strategies

Reference 112

Resolution: unresolved; no resolver link, observed 2026-08-04T20:55:41.534544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f88c64d-8750-491b-aaec-f2dcd075532d · inbound

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution cites this paper.

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution Large Language Models As Evolution Strategies

Reference 225

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:58:59.010168Z

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 1403bb2f-f30d-4539-ade7-3842da833d3b · inbound

Sakana Fugu Technical Report cites this paper.

Sakana Fugu Technical Report Large Language Models As Evolution Strategies

Reference 87

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:29:38.195725Z

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.