Paper Citation Record · LEDGER

Benchmarking symbolic regression constant optimization schemes

As of 22 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 3 inbound Pith citation observations for arXiv:2412.02126.

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

pith.paper-citation-record.v1
2412.02126 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:51:33.843148Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:37:34.670840Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:17:09.464027Z

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy27
unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation afeec8e7-8431-4fb7-9812-8ebaf72fbcbb · outbound

This paper cites Genetic programming as a means for program- mingcomputersbynaturalselection.

Benchmarking symbolic regression constant optimization schemes Genetic programming as a means for program- mingcomputersbynaturalselection

Reference 1

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Observation d5c088ec-346a-46cf-be7b-2646d72cd780 · outbound

This paper cites Learningschemesfor geneticprogramming.

Benchmarking symbolic regression constant optimization schemes Learningschemesfor geneticprogramming

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.461866Z

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Observation 394126cf-3f0e-40b2-9947-45b600d3daf8 · outbound

This paper cites Faster genetic programming basedonlocalgradientsearchofnumericleafvalues.

Benchmarking symbolic regression constant optimization schemes Faster genetic programming basedonlocalgradientsearchofnumericleafvalues

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.444699Z

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Observation cd33e5b7-2a14-42db-b553-d02815480131 · outbound

This paper cites an unresolved cited work.

Benchmarking symbolic regression constant optimization schemes Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:51:34.428155Z

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Observation f58724b0-6fff-475f-a863-9002c8f6c494 · outbound

This paper cites Conjugategradientmethod.

Benchmarking symbolic regression constant optimization schemes Conjugategradientmethod

Reference 5

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Observation ae4008ce-4a5c-40e8-b326-36f3a1a5b93e · outbound

This paper cites Age-fitness pareto optimiza- tion.

Benchmarking symbolic regression constant optimization schemes Age-fitness pareto optimiza- tion

Reference 6

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Source-reported events for the cited work

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Observation cc87e7f7-d92e-496a-8dbe-6456eaa7eaa2 · outbound

This paper cites Abstractexpressiongrammarsymbolicregres- sion.

Benchmarking symbolic regression constant optimization schemes Abstractexpressiongrammarsymbolicregres- sion

Reference 7

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Source-reported events for the cited work

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Observation d2774bf9-4a47-416f-acbc-b09f75c79b9f · outbound

This paper cites Ffx:Fast,scalable,deterministicsymbolicre- gressiontechnology.

Benchmarking symbolic regression constant optimization schemes Ffx:Fast,scalable,deterministicsymbolicre- gressiontechnology

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.364084Z

Source-reported events for the cited work

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Observation 0e4d5429-158a-4284-9a37-b04a196f783a · outbound

This paper cites Implementingthenelder-meadsimplexal- gorithmwithadaptiveparameters.

Benchmarking symbolic regression constant optimization schemes Implementingthenelder-meadsimplexal- gorithmwithadaptiveparameters

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.347903Z

Source-reported events for the cited work

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Observation 4af75898-aa2a-4704-9c76-43b01cbee1de · outbound

This paper cites Geneticprogram- ming needs better benchmarks.

Benchmarking symbolic regression constant optimization schemes Geneticprogram- ming needs better benchmarks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.331914Z

Source-reported events for the cited work

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Observation be68f77b-742d-4814-a769-522b845a0a46 · outbound

This paper cites Differentialevolutionofcon- stantsingeneticprogrammingimprovesefficacyandbloat.

Benchmarking symbolic regression constant optimization schemes Differentialevolutionofcon- stantsingeneticprogrammingimprovesefficacyandbloat

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.315917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7dd6838a-4f0d-4d6e-a1f8-70ed9c60b14c · outbound

This paper cites Ontheevo- lutionary behavior of genetic programming with constants optimization.

Benchmarking symbolic regression constant optimization schemes Ontheevo- lutionary behavior of genetic programming with constants optimization

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.300535Z

Source-reported events for the cited work

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Observation bddced2d-999f-4663-866c-0616cd75d71a · outbound

This paper cites Aperfectexampleforthebfgsmethod.

Benchmarking symbolic regression constant optimization schemes Aperfectexampleforthebfgsmethod

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.284464Z

Source-reported events for the cited work

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Observation ec414428-b5ec-47eb-840f-14a4fbc31e29 · outbound

This paper cites Nonlinearleastsquaresoptimizationofconstants in symbolic regression.

Benchmarking symbolic regression constant optimization schemes Nonlinearleastsquaresoptimizationofconstants in symbolic regression

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.269141Z

Source-reported events for the cited work

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Observation 9fc099c7-a150-46df-a594-ea205dbac34b · outbound

This paper cites Abaselinesymbolicregressionalgorithm.

Benchmarking symbolic regression constant optimization schemes Abaselinesymbolicregressionalgorithm

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.253034Z

Source-reported events for the cited work

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Observation bf39585b-b710-4f6e-b664-f5a881d52394 · outbound

This paper cites an unresolved cited work.

Benchmarking symbolic regression constant optimization schemes Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2b4db6ab-d51d-4d90-aeda-cae5ec59391c · outbound

This paper cites Aunifieddifferentialevolutionalgorithmforglobal optimization.

Benchmarking symbolic regression constant optimization schemes Aunifieddifferentialevolutionalgorithmforglobal optimization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.221863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b03481c9-af6e-4ba9-87f9-1902f1ff6b09 · outbound

This paper cites Evaluatingmethods forconstantoptimizationofsymbolicregressionbenchmark problems.

Benchmarking symbolic regression constant optimization schemes Evaluatingmethods forconstantoptimizationofsymbolicregressionbenchmark problems

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.206619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 363ad653-5986-4a36-b6d7-b5c58074179b · outbound

This paper cites Thelevenberg-marquardtalgorithmfornonlin- earleastsquarescurve-fittingproblems.

Benchmarking symbolic regression constant optimization schemes Thelevenberg-marquardtalgorithmfornonlin- earleastsquarescurve-fittingproblems

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.190769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 714d09d2-9d38-4d16-b901-1acb18bec6ac · outbound

This paper cites Bayesian Symbolic Regression.

Benchmarking symbolic regression constant optimization schemes Bayesian Symbolic Regression

Reference 20

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Source-reported events for the cited work

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Observation c073c699-4eb7-4ed4-bbcc-a615d7baa50c · outbound

This paper cites Symbolic regres- sioninmaterialsscience.

Benchmarking symbolic regression constant optimization schemes Symbolic regres- sioninmaterialsscience

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.175415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b3ffce8e-5193-4f52-ac1e-4bff0895036c · outbound

This paper cites Parameteridentificationforsymbolicregressionusingnon- linearleastsquares.

Benchmarking symbolic regression constant optimization schemes Parameteridentificationforsymbolicregressionusingnon- linearleastsquares

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.160282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation beea64bc-b98e-41ad-889a-03965ba8b206 · outbound

This paper cites Aifeynman2.0:Pareto-optimalsymbolicregressionexploiting graphmodularity.

Benchmarking symbolic regression constant optimization schemes Aifeynman2.0:Pareto-optimalsymbolicregressionexploiting graphmodularity

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.144282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2e12f23c-5618-4315-85d8-ab19d39e2842 · outbound

This paper cites Ai feynman: A physics- inspiredmethodforsymbolicregression.

Benchmarking symbolic regression constant optimization schemes Ai feynman: A physics- inspiredmethodforsymbolicregression

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.128609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 38d7545c-e77e-4c47-b71f-9e97bd6cd468 · outbound

This paper cites Contemporary symbolicregressionmethodsandtheirrelativeperformance.

Benchmarking symbolic regression constant optimization schemes Contemporary symbolicregressionmethodsandtheirrelativeperformance

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.111342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0e4893e6-d9f4-4437-b8f0-f250356b2a76 · outbound

This paper cites Improving model-based genetic programming for symbolic regression of small expressions.

Benchmarking symbolic regression constant optimization schemes Improving model-based genetic programming for symbolic regression of small expressions

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.094111Z

Source-reported events for the cited work

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Observation f7121114-08af-4c30-b414-c73b61c8a478 · outbound

This paper cites Deep Symbolic Regression for Recurrent Sequences.

Benchmarking symbolic regression constant optimization schemes Deep Symbolic Regression for Recurrent Sequences

Reference 27

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Source-reported events for the cited work

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Observation 049c133e-ea62-4cce-80fe-b8c1fe65b50d · outbound

This paper cites Aunifiedframework fordeepsymbolicregression.

Benchmarking symbolic regression constant optimization schemes Aunifiedframework fordeepsymbolicregression

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.077651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 020097f9-0c8e-4678-81b3-03994e7edc8d · outbound

This paper cites The metric is the message: Benchmarking challenges for neural symbolicregression.

Benchmarking symbolic regression constant optimization schemes The metric is the message: Benchmarking challenges for neural symbolicregression

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.061096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d1dacacd-849c-4bdf-a6e1-2206a1bb51fc · outbound

This paper cites Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl.

Benchmarking symbolic regression constant optimization schemes Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T23:51:33.828200Z

Source-reported events for the cited work

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Observation e845a21c-2b90-4a3c-afdc-8f8c164a4e23 · outbound

This paper cites Application of the symbolic regression program ai-feynman to psychology.

Benchmarking symbolic regression constant optimization schemes Application of the symbolic regression program ai-feynman to psychology

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.044735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 62b405b5-51ad-474d-af10-95a522e60282 · outbound

This paper cites Ontheappli- cationofsymbolicregressionintheenergysector:Estimation ofcombinedcyclepowerplantelectricalpoweroutputusing geneticprogrammingalgorithm.

Benchmarking symbolic regression constant optimization schemes Ontheappli- cationofsymbolicregressionintheenergysector:Estimation ofcombinedcyclepowerplantelectricalpoweroutputusing geneticprogrammingalgorithm

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T23:51:33.838350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 264e87ae-a9ee-480b-9b05-6bd7c49701be · outbound

This paper cites Interpretable scientific discovery withsymbolicregression:Areview.

Benchmarking symbolic regression constant optimization schemes Interpretable scientific discovery withsymbolicregression:Areview

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:51:34.027995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation c8bbc7fc-0efe-4b67-8ae3-ba86ed8cf705 · inbound

Knowledge Integration for Physics-informed Symbolic Regression Using Pre-trained Large Language Models cites this paper.

Knowledge Integration for Physics-informed Symbolic Regression Using Pre-trained Large Language Models Benchmarking symbolic regression constant optimization schemes

Reference 139

Resolution: unresolved; no resolver link, observed 2026-08-15T16:37:34.670840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4cbd956-2fca-48d0-ad7d-6e26235cf9b4 · inbound

FunctionEvolve: Structure-Guided Symbolic Regression with LLMs cites this paper.

FunctionEvolve: Structure-Guided Symbolic Regression with LLMs Benchmarking symbolic regression constant optimization schemes

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:17:09.465365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 43ce39e9-61b7-4313-9b45-64a229dd3b96 · inbound

Attractor Geometry Determines the Identifiability Limits of System Discovery cites this paper.

Attractor Geometry Determines the Identifiability Limits of System Discovery Benchmarking symbolic regression constant optimization schemes

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.