Paper Citation Record · LEDGER

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression

As of 21 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:2501.07123.

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

pith.paper-citation-record.v1
2501.07123 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:56:00.259911Z

measured 46 of 46 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:17:24.491036Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T12:17:25.714193Z

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation 286b41f8-5097-4c38-a0a5-e81bc915031c · outbound

This paper cites Hadronization.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Hadronization

Reference 1

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Observation 4d9debde-8fd1-43f2-9b3a-cc82efaccf51 · outbound

This paper cites The ALICE experiment at the CERN LHC.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression The ALICE experiment at the CERN LHC

Reference 2

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Observation b9235e0c-cc23-4771-8894-38c8be7eb80b · outbound

This paper cites The COMPASS experiment.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression The COMPASS experiment

Reference 3

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Observation c51fc6d0-0565-421e-832f-45df8c2a2bff · outbound

This paper cites The CMS Experiment at the CERN LHC.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression The CMS Experiment at the CERN LHC

Reference 4

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Observation 5ff2037f-a096-4fa8-b8cf-29981da2df67 · outbound

This paper cites The ATLAS Experiment at the CERN Large Hadron Collider.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression The ATLAS Experiment at the CERN Large Hadron Collider

Reference 5

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Observation 906170ac-9236-4f40-ac87-e49c5984e6f5 · outbound

This paper cites Global analysis of fragmentation functions for pions and kaons and their uncertainties.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Global analysis of fragmentation functions for pions and kaons and their uncertainties

Reference 6

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Observation bf18347f-04ff-404b-b204-236656837ad7 · outbound

This paper cites Pion fragmentation functions at high energy colliders.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Pion fragmentation functions at high energy colliders

Reference 7

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Observation b1668262-90a8-42a8-8e68-cc42ae490aa6 · outbound

This paper cites Asymptotic freedom in parton language.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Asymptotic freedom in parton language

Reference 8

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Observation d647b8d2-d09f-4fad-89e1-b02b91f7db92 · outbound

This paper cites Interpretable scientific discovery with symbolic regression: a review.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Interpretable scientific discovery with symbolic regression: a review

Reference 9

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Observation 394482c6-01cc-41f8-8529-a09a7258ef9e · outbound

This paper cites Symbolic Regression: A Pathway to Interpretability Towards Automated Scientific Discovery.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Symbolic Regression: A Pathway to Interpretability Towards Automated Scientific Discovery

Reference 10

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Observation b8281c9b-7313-4263-b528-b08f01960abc · outbound

This paper cites Rediscovering orbital mechanics with machine learning.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Rediscovering orbital mechanics with machine learning

Reference 11

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Observation 16ae2d2a-bf74-4796-92d5-820a1d6f53e2 · outbound

This paper cites Robust learning from noisy, incomplete, high- dimensional experimental data via physically constrained symbolic regression.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Robust learning from noisy, incomplete, high- dimensional experimental data via physically constrained symbolic regression

Reference 12

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Observation de405f30-4df3-476f-9c56-d28e8a7fe80b · outbound

This paper cites Data-driven discovery of Tsallis-like distribution using symbolic regression in high-energy physics.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Data-driven discovery of Tsallis-like distribution using symbolic regression in high-energy physics

Reference 13

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Observation 7691ab9c-039a-4325-b678-7a9fe0772caa · outbound

This paper cites Symbolic Regression on FPGAs for Fast Machine Learning Inference.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Symbolic Regression on FPGAs for Fast Machine Learning Inference

Reference 14

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Observation b10c130f-1e72-406a-8af3-4e20cfbee4a5 · outbound

This paper cites Parton fragmentation functions.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Parton fragmentation functions

Reference 15

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Observation bcff9077-e9a9-4d7d-9d18-c273b5def489 · outbound

This paper cites Parton fragmentation and string dynamics.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Parton fragmentation and string dynamics

Reference 16

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Observation baf0527d-2dd0-4c0d-ab9b-ba56a888a2ed · outbound

This paper cites Pion and kaon fragmentation functions at next- to-next-to-leading order.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Pion and kaon fragmentation functions at next- to-next-to-leading order

Reference 17

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Observation 715d6ba2-79ed-4b03-a878-0b6cdeafdb54 · outbound

This paper cites Helicity-dependent parton distribution functions at next-to-next-to- leading order accuracy from inclusive and semi-inclusive deep-inelastic scattering data.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Helicity-dependent parton distribution functions at next-to-next-to- leading order accuracy from inclusive and semi-inclusive deep-inelastic scattering data

Reference 18

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Observation 7dd5d507-a4de-4e89-baf4-be44271da4a6 · outbound

This paper cites The path to proton structure at 1% accuracy.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression The path to proton structure at 1% accuracy

Reference 19

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Observation 8ced4575-c610-4ad0-8c78-3bc274287aeb · outbound

This paper cites Convolutional Networks for Images, Speech, and Time-Series; 1995.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Convolutional Networks for Images, Speech, and Time-Series; 1995

Reference 20

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Observation a8106960-7108-4870-a0f3-5451cf96cf83 · outbound

This paper cites Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

Reference 21

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Observation 4f749a4c-581f-4e50-8033-f31006ae6e22 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning; 2013.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Playing Atari with Deep Reinforcement Learning; 2013

Reference 22

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Observation b8106f77-c5ce-43ec-a6c0-17d7a65b9ba5 · outbound

This paper cites Attention Is All You Need.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Attention Is All You Need

Reference 23

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Observation 55d25192-392c-4e7c-8fb5-77dc66ebc453 · outbound

This paper cites Is machine learning good or bad for the natural sciences?; 2024.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Is machine learning good or bad for the natural sciences?; 2024

Reference 25

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Observation fbff8409-63ed-402e-8783-463c64f76c66 · outbound

This paper cites A perspective on symbolic machine learning in physical science; 2024.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression A perspective on symbolic machine learning in physical science; 2024

Reference 26

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Observation f762073c-fa9f-49f9-971d-8ab74ef9154f · outbound

This paper cites Machine learning and the physical sciences.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Machine learning and the physical sciences

Reference 27

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Observation 2e26bb17-3030-48c7-99e0-b7ef7d39aab6 · outbound

This paper cites BACON: A PRODUCTION SYSTEM THAT DISCOVERS EMPIRICAL LA WS; 1979.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression BACON: A PRODUCTION SYSTEM THAT DISCOVERS EMPIRICAL LA WS; 1979

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:56:01.874300Z

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Observation 00d46774-7dc2-4fe2-9df6-a982afcf4df1 · outbound

This paper cites Scientific Discovery: Computational Explorations of the Creative Process.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Scientific Discovery: Computational Explorations of the Creative Process

Reference 29

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Observation 4751076b-bda8-41e1-9ea0-35f54ef6f50e · outbound

This paper cites Determining Arguments of Invariant Functional Descriptions.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Determining Arguments of Invariant Functional Descriptions

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:56:01.828802Z

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Observation 6a4d000a-9cf1-4da9-ab48-56a50b3606e9 · outbound

This paper cites Data-driven approaches to empirical discovery.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Data-driven approaches to empirical discovery

Reference 31

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Observation 5c551c40-80eb-49b4-8cd0-0644e50acfb9 · outbound

This paper cites Discovery of equations: experimental evaluation of convergence.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Discovery of equations: experimental evaluation of convergence

Reference 32

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This paper cites Declarative Bias in Equation Discovery.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Declarative Bias in Equation Discovery

Reference 33

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This paper cites Genetic programming as a means for programming computers by natural selection.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Genetic programming as a means for programming computers by natural selection

Reference 34

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Observation 0fcb1aa6-268e-4381-a32f-3758f2e44089 · outbound

This paper cites Multiplicities of charged pions and charged hadrons from deep-inelastic scattering of muons off an isoscalar target.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Multiplicities of charged pions and charged hadrons from deep-inelastic scattering of muons off an isoscalar target

Reference 35

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Observation 94b3377d-95ee-4d14-9e46-98a052b22151 · outbound

This paper cites Multiplicities of charged kaons from deep-inelastic muon scattering off an isoscalar target.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Multiplicities of charged kaons from deep-inelastic muon scattering off an isoscalar target

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:56:01.683301Z

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Observation 8d1dd990-2b9c-44a1-b177-264a31ac1682 · outbound

This paper cites The COMPASS experiment at CERN.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression The COMPASS experiment at CERN

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:56:01.644629Z

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Observation 85dd472d-ac12-4e91-9711-ee2f7ad1e60a · outbound

This paper cites Charged hadron fragmentation functions at high energy colliders.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Charged hadron fragmentation functions at high energy colliders

Reference 38

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This paper cites Hierarchical Genetic Algorithms Operating on Populations of Computer Programs.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Hierarchical Genetic Algorithms Operating on Populations of Computer Programs

Reference 39

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This paper cites Jan Lukasiewicz: Aristotle’s Syllogistic from the Standpoint of Modern Formal Logic.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Jan Lukasiewicz: Aristotle’s Syllogistic from the Standpoint of Modern Formal Logic

Reference 40

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This paper cites Symbolic Regression is NP-hard; 2022.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Symbolic Regression is NP-hard; 2022

Reference 41

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This paper cites A living Review of Symbolic Regression; 2022.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression A living Review of Symbolic Regression; 2022

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:56:01.475294Z

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Observation a9fb9dde-36f6-4126-833d-24fe4c7e5a1e · outbound

This paper cites Neural Symbolic Regression that Scales.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Neural Symbolic Regression that Scales

Reference 43

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This paper cites Attention is All You Need.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Attention is All You Need

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:56:01.449455Z

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Observation b37ae42a-85a0-4482-a23f-b2a2c1851c2e · outbound

This paper cites Parton distributions for the LHC.

Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression Parton distributions for the LHC

Reference 45

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Pith citing papers

Observation 153bf7cc-1cfb-4c2e-8a23-8702a9e15373 · inbound

Generalized Parton Distributions from Symbolic Regression cites this paper.

Generalized Parton Distributions from Symbolic Regression Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression

Reference 16

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Observation 184c0eb0-1076-4f89-9b9c-e6eb3b69e72f · inbound

Symbolic Extraction of Non-Perturbative Transverse-Momentum-Dependent Distributions from Drell-Yan Data cites this paper.

Symbolic Extraction of Non-Perturbative Transverse-Momentum-Dependent Distributions from Drell-Yan Data Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression

Reference 19

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