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Paper Citation Record · LEDGER

A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.03585.

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

pith.paper-citation-record.v1
2406.03585 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:14:18.643094Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:17:21.433561Z

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 419bb65a-1ac0-475b-9024-3f377461daa2 · inbound

1D Kinetic Energy Density Functionals learned with Symbolic Regression cites this paper.

1D Kinetic Energy Density Functionals learned with Symbolic Regression A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T18:14:18.643094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:14:18.643094Z digest=sha256:0b13aa6d25b7f8f1d4bf5f8fdd48f24926e5b3bbcc46b89bb211c938870fc7b8

Observation 88a93bcd-20f1-4f20-9c3e-eb7a7ac03374 · inbound

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond cites this paper.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-09T05:02:19.871748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:02:19.871748Z digest=sha256:eaa8738ef1e89609535d1e42c70f4ab00ef0ab6b31b2fca85d8083e02f8cd02b

Observation b1bc4396-a2d0-47e3-9b69-d829d2fdb21d · inbound

CMBolic: Symbolic emulators for the Cosmic Microwave Background. I. Lensing cites this paper.

CMBolic: Symbolic emulators for the Cosmic Microwave Background. I. Lensing A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:17:21.435054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T20:48:09.247338Z digest=sha256:8558cbb23d87825630376a955f4ea7416ba9b97da913faa966de8f278defe074