Paper Citation Record · LEDGER

EvoPrompting: Language Models for Code-Level Neural Architecture Search

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2302.14838.

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

pith.paper-citation-record.v1
2302.14838 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:31:41.494742Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

17
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6a0f2f27-8c48-4197-a99d-d1344a868bd0 · inbound

Large Language Models as Optimizers cites this paper.

Large Language Models as Optimizers EvoPrompting: Language Models for Code-Level Neural Architecture Search

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T00:04:31.245560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e504a160-4844-4776-8a43-07705780abf0 · inbound

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers cites this paper.

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers EvoPrompting: Language Models for Code-Level Neural Architecture Search

Reference 171

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T06:11:49.611847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0d7dc76d-9280-4601-a041-e9dcb5c77f0b · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution EvoPrompting: Language Models for Code-Level Neural Architecture Search

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:12:31.392004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fbe60209-741f-4458-9008-17edaf1e791b · inbound

PhaseNAS: Language-Model Driven Architecture Search with Dynamic Phase Adaptation cites this paper.

PhaseNAS: Language-Model Driven Architecture Search with Dynamic Phase Adaptation EvoPrompting: Language Models for Code-Level Neural Architecture Search

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T13:31:41.494742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64c65f96-2a79-416b-8e6f-45f94053276e · inbound

NNGPT: Rethinking AutoML with Large Language Models cites this paper.

NNGPT: Rethinking AutoML with Large Language Models EvoPrompting: Language Models for Code-Level Neural Architecture Search

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:02.187739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af124702-0b34-4851-9eb0-df1634a9b451 · inbound

DEI: Diversity in Evolutionary Inference for Quality-Diversity Search cites this paper.

DEI: Diversity in Evolutionary Inference for Quality-Diversity Search EvoPrompting: Language Models for Code-Level Neural Architecture Search

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:43:50.481177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 69124dc2-b622-4f53-b6c4-24f9c487c15d · inbound

TacEvo: Self-Evolving Architecture Discovery for Robotic Tactile Perception via LLM-Driven Quality-Diversity Search cites this paper.

TacEvo: Self-Evolving Architecture Discovery for Robotic Tactile Perception via LLM-Driven Quality-Diversity Search EvoPrompting: Language Models for Code-Level Neural Architecture Search

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T13:44:41.707659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.