Paper Citation Record · LEDGER

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation

As of 16 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2602.24022.

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

pith.paper-citation-record.v1
2602.24022 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:08:34.955865Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

21 of 21 outbound references displayed

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Outbound references

Observation 3914ba5a-0a0c-4039-8cef-9549531105b3 · outbound

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

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 7

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Observation 20afd687-97f0-4d4f-a5c5-c26af81805cb · outbound

This paper cites arXiv e-prints , arXiv:2511.087842511.08784.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation arXiv e-prints , arXiv:2511.087842511.08784

Reference 8

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Observation 86bc845c-d0a0-4d31-9e5d-1f619a0feba2 · outbound

This paper cites (Exhaustive) Symbolic Regression and model selection by minimum description length.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation (Exhaustive) Symbolic Regression and model selection by minimum description length

Reference 10

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Observation a940c09c-78a5-4198-8bba-8b07715f9f09 · outbound

This paper cites Unsupervised star, galaxy, qso classification: Application of HDBSCAN.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation Unsupervised star, galaxy, qso classification: Application of HDBSCAN

Reference 13

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Observation e6c0b003-5989-4502-b2b0-7048c44c7296 · outbound

This paper cites an unresolved cited work.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation Unresolved cited work

Reference 15

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Observation 7ce30748-7873-4675-905a-f89255257a82 · outbound

This paper cites Multi-View Symbolic Regression.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation Multi-View Symbolic Regression

Reference 17

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Observation c91da87d-e9f9-4611-b0fe-85762f02a4f2 · outbound

This paper cites MNRAS 481, 5451–5469.1805.02427.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation MNRAS 481, 5451–5469.1805.02427

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T20:08:34.634242Z

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Observation 47fccfc2-7f1c-454c-99b4-7c9c14e5a1fc · outbound

This paper cites Morphological Star-Galaxy Separation.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation Morphological Star-Galaxy Separation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T20:08:34.696536Z

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Observation 84b63da9-ef1a-4be8-9477-5bd408d0f873 · outbound

This paper cites Evidence for dynamical dark energy from DESI-DR2 and SN data? A symbolic regression analysis.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation Evidence for dynamical dark energy from DESI-DR2 and SN data? A symbolic regression analysis

Reference 21

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Observation cea63b09-6ca7-4660-bda0-ab9d62cdbf86 · outbound

This paper cites Exploring symbolic regression and genetic algorithms for astronomical object classification.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation Exploring symbolic regression and genetic algorithms for astronomical object classification

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T20:08:34.097634Z

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Observation 3d41bfd8-48c2-4569-a059-1d36dbacde86 · outbound

This paper cites Bartlett, D.J., Desmond, H., Ferreira, P.G.,.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation Bartlett, D.J., Desmond, H., Ferreira, P.G.,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T20:08:32.766822Z

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Observation 5b83d960-117d-4d46-8170-7b8bf8e9e746 · outbound

This paper cites Spectroscopic Target Selection in the Sloan Digital Sky Survey: The Quasar Sample.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation Spectroscopic Target Selection in the Sloan Digital Sky Survey: The Quasar Sample

Reference 2002

Resolution: unresolved; no resolver link, observed 2026-08-02T20:08:34.434953Z

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Observation 42651e81-8230-480e-9660-67be48482fdd · outbound

This paper cites The Blanco Cosmology Survey: Data Acquisition, Processing, Calibration, Quality Diagnostics and Data Release.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation The Blanco Cosmology Survey: Data Acquisition, Processing, Calibration, Quality Diagnostics and Data Release

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-02T20:08:33.801464Z

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Observation d653bab0-0716-4a75-a316-83a95353b4a6 · outbound

This paper cites Star/galaxy separation at faint magnitudes: Application to a simulated Dark Energy Survey.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation Star/galaxy separation at faint magnitudes: Application to a simulated Dark Energy Survey

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-02T20:08:34.846999Z

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Observation 32d99eec-0e74-4a66-af9f-f9a227eed371 · outbound

This paper cites Separation of pulsar signals from noise with supervised machine learning algorithms.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation Separation of pulsar signals from noise with supervised machine learning algorithms

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-02T20:08:33.160569Z

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Observation 3a41e1d4-f950-4ad8-9ed1-c326a81d0793 · outbound

This paper cites Model Comparison tests of modified gravity from the E\"ot-Wash experiment.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation Model Comparison tests of modified gravity from the E\"ot-Wash experiment

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-02T20:08:33.978474Z

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Observation 5173d504-d716-45cc-9d2e-b10273b75b74 · outbound

This paper cites Exhaustive Symbolic Regression.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation Exhaustive Symbolic Regression

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-02T20:08:32.873173Z

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Observation 78f87545-2713-4e88-8404-dce31684fffd · outbound

This paper cites MNRAS 518, 3123–3136.2211.08388.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation MNRAS 518, 3123–3136.2211.08388

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-02T20:08:33.384330Z

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Observation 9ccafeaa-2f5c-41e8-9d84-4a7af5cffe85 · outbound

This paper cites Enhanced Astronomical Source Classification with Integration of Attention Mechanisms and Vision Transformers.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation Enhanced Astronomical Source Classification with Integration of Attention Mechanisms and Vision Transformers

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T20:08:33.248837Z

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Observation 129c6d6f-136b-4d68-bc1d-3216e0da0363 · outbound

This paper cites Introduction to Symbolic Regression in the Physical Sciences.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation Introduction to Symbolic Regression in the Physical Sciences

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T20:08:33.001065Z

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Observation 289b537c-866d-4c61-b54e-cb246786186d · outbound

This paper cites arXiv e-prints , arXiv:2601.052032601.

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation arXiv e-prints , arXiv:2601.052032601

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-02T20:08:34.260765Z

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Pith citing papers

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