Paper Citation Record · LEDGER

Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.02355.

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

pith.paper-citation-record.v1
2402.02355 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:42:00.752975Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T17:42:25.771029Z

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 0f7a1e84-ed4c-44a0-b3b2-d18542883cb6 · inbound

Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization cites this paper.

Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T10:42:00.752975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 067d049c-1cc7-4067-80b5-d11f2433426a · inbound

Generative Discovery of Partial Differential Equations by Learning from Math Handbooks cites this paper.

Generative Discovery of Partial Differential Equations by Learning from Math Handbooks Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T22:59:52.776661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78810f1b-a869-4f97-8c6b-db9c12f1f393 · 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 Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T20:55:41.187090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d487b9a-c9de-48d2-8967-c803b5acc614 · inbound

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA cites this paper.

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:42:25.772577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.