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Paper Citation Record · LEDGER

Zobrist Hash-based Duplicate Detection in Symbolic Regression

As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2508.13859.

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

pith.paper-citation-record.v1
2508.13859 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

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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

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

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

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External citation measurements

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Outbound references

Observation 7d6c4256-84e9-4672-b22e-8d6c4889ba92 · outbound

This paper cites write newline.

Zobrist Hash-based Duplicate Detection in Symbolic Regression write newline

Reference 1

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Observation 25b82a19-5c86-4bde-a6ef-0a933c545cae · outbound

This paper cites 2022 Interpretable machine learning: Fundamental principles and 10 grand challenges.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2022 Interpretable machine learning: Fundamental principles and 10 grand challenges

Reference 2

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Observation 6bcbac92-cac8-45a7-9e4e-cda7574409ce · outbound

This paper cites 2022 Analytical Modeling of Exoplanet Transit Spectroscopy with Dimensional Analysis and Symbolic Regression.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2022 Analytical Modeling of Exoplanet Transit Spectroscopy with Dimensional Analysis and Symbolic Regression

Reference 3

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Observation 74b90dda-b250-414b-bada-88c6181006e0 · outbound

This paper cites , Kammerer, Lukas , Kronberger, Gabriel , Desmond, Harry , Ferreira, Pedro G.

Zobrist Hash-based Duplicate Detection in Symbolic Regression , Kammerer, Lukas , Kronberger, Gabriel , Desmond, Harry , Ferreira, Pedro G

Reference 4

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Observation 01f3457f-00ff-44de-83fe-9ee342546241 · outbound

This paper cites 2023 On the functional form of the radial acceleration relation.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2023 On the functional form of the radial acceleration relation

Reference 5

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Observation 2644c500-6991-401b-a89c-95397c381607 · outbound

This paper cites 2023 Rediscovering orbital mechanics with machine learning.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2023 Rediscovering orbital mechanics with machine learning

Reference 6

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Observation b7ddd1fe-878c-4aee-9a64-d1923ce9ddb9 · outbound

This paper cites Symbolic Regression with a Learned Concept Library.

Zobrist Hash-based Duplicate Detection in Symbolic Regression Symbolic Regression with a Learned Concept Library

Reference 7

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Observation f138ac26-2aa7-4db9-84a4-4838a8d0a0b3 · outbound

This paper cites 2019 Symbolic regression in materials science.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2019 Symbolic regression in materials science

Reference 8

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Observation 10ace0d2-0a14-4ac6-8f0b-906a2b350379 · outbound

This paper cites 2022 Symbolic regression in materials science via dimension-synchronous-computation.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2022 Symbolic regression in materials science via dimension-synchronous-computation

Reference 9

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Observation 369aae9a-162f-4d43-9b6c-6c8fbf88490b · outbound

This paper cites 2024 Exploring the mathematic equations behind the materials science data using interpretable symbolic regression.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2024 Exploring the mathematic equations behind the materials science data using interpretable symbolic regression

Reference 10

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Observation 2a63fecc-1e3e-41e7-8ffd-30410d2bbb77 · outbound

This paper cites 2023 Is the machine smarter than the theorist: Deriving formulas for particle kinematics with symbolic regression.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2023 Is the machine smarter than the theorist: Deriving formulas for particle kinematics with symbolic regression

Reference 11

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Observation 49df84a7-9fd9-4069-9a55-053223b6176e · outbound

This paper cites 2024 Symbolic regression for precision LHC physics.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2024 Symbolic regression for precision LHC physics

Reference 12

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Observation 32514a54-3db7-4bc0-937d-eff59546172a · outbound

This paper cites 2023 Modeling and Control of Robotic Manipulators Based on Symbolic Regression.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2023 Modeling and Control of Robotic Manipulators Based on Symbolic Regression

Reference 13

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Observation 5bba7888-7266-4f00-a245-bdd0ff50344c · outbound

This paper cites 2021 Controller design by symbolic regression.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2021 Controller design by symbolic regression

Reference 14

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Observation 1feede9c-16bf-437c-947e-6433b489ac0f · outbound

This paper cites 2023 A flexible symbolic regression method for constructing interpretable clinical prediction models.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2023 A flexible symbolic regression method for constructing interpretable clinical prediction models

Reference 15

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Observation 3d571ece-d279-45d3-972f-b231e036e850 · outbound

This paper cites 2021 Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2021 Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients

Reference 16

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Observation 008ef1a2-7b2a-436a-923c-baad362f1b27 · outbound

This paper cites 2022 End-to-end symbolic regression with transformers.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2022 End-to-end symbolic regression with transformers

Reference 17

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Observation 46c9c089-9dd3-4527-ad5a-8cd506f651e6 · outbound

This paper cites 2022 A Unified Framework for Deep Symbolic Regression.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2022 A Unified Framework for Deep Symbolic Regression

Reference 18

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This paper cites 2024 SymFormer: End-to-End Symbolic Regression Using Transformer-Based Architecture.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2024 SymFormer: End-to-End Symbolic Regression Using Transformer-Based Architecture

Reference 19

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This paper cites 2018 Learning equations for extrapolation and control.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2018 Learning equations for extrapolation and control

Reference 20

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Observation 05c108e7-2634-4958-85c8-8772f58e0511 · outbound

This paper cites 2013 Prioritized grammar enumeration: symbolic regression by dynamic programming.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2013 Prioritized grammar enumeration: symbolic regression by dynamic programming

Reference 21

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This paper cites 2018 A global MINLP approach to symbolic regression.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2018 A global MINLP approach to symbolic regression

Reference 22

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Observation 03f658ac-46c0-48a5-b827-7321d87aac0a · outbound

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Zobrist Hash-based Duplicate Detection in Symbolic Regression Unresolved cited work

Reference 23

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Zobrist Hash-based Duplicate Detection in Symbolic Regression Unresolved cited work

Reference 24

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This paper cites 1992 Genetic Programming: On the Programming of Computers by Means of Natural Selection.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 1992 Genetic Programming: On the Programming of Computers by Means of Natural Selection

Reference 25

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This paper cites 2021 Contemporary Symbolic Regression Methods and their Relative Performance.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2021 Contemporary Symbolic Regression Methods and their Relative Performance

Reference 26

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This paper cites 2024 SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2024 SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation

Reference 27

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This paper cites 2024 The Inefficiency of Genetic Programming for Symbolic Regression.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2024 The Inefficiency of Genetic Programming for Symbolic Regression

Reference 28

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This paper cites 2015 An Efficient Structural Diversity Technique for Genetic Programming.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2015 An Efficient Structural Diversity Technique for Genetic Programming

Reference 29

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This paper cites 2021 Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2021 Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression

Reference 30

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Observation ba6e1aac-b4b3-4800-a4cd-9f22c7fce9c4 · outbound

This paper cites 2020 Parameter identification for symbolic regression using nonlinear least squares.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2020 Parameter identification for symbolic regression using nonlinear least squares

Reference 31

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Zobrist Hash-based Duplicate Detection in Symbolic Regression 2024 Revisiting Gradient-Based Local Search in Symbolic Regression

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites 2013 Exploration and exploitation in evolutionary algorithms: A survey.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2013 Exploration and exploitation in evolutionary algorithms: A survey

Reference 33

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Source-reported events for the cited work

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This paper cites 2000 Finite population effects for ranking and tournament selection.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2000 Finite population effects for ranking and tournament selection

Reference 34

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Source-reported events for the cited work

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Observation b68470d6-93cd-47e0-af3b-c846be781feb · outbound

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Zobrist Hash-based Duplicate Detection in Symbolic Regression 2011 Impacts of sampling strategies in tournament selection for genetic programming

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T18:55:19.034056Z digest=sha256:1573aa81c540c17fbd4e905eb72a8fca32521646386c62217d7402862f28ca4e

Observation 275d1859-a57d-4a01-93fb-fe391c31d2db · outbound

This paper cites 1994 On the use of a directed acyclic graph to represent a population of computer programs.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 1994 On the use of a directed acyclic graph to represent a population of computer programs

Reference 36

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T18:55:20.058983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T18:55:19.038256Z digest=sha256:783a792267249e11594e4ad973cff9e8f8727e112af32d06d724f8ebeac99388

Observation 3c6f9abf-8d89-4427-afda-fcf0109fd9b9 · outbound

This paper cites 2004 Alternatives in Subtree Caching for Genetic Programming.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2004 Alternatives in Subtree Caching for Genetic Programming

Reference 37

Resolution
verified exact
doi, observed 2026-08-05T18:55:19.188122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T18:55:19.041944Z digest=sha256:13e11ec487a9475752f04ac963611b2772f2935496829379e5a7d296f400af1a

Observation 86f94196-5605-42a9-9598-564848cdb055 · outbound

This paper cites 2025 Improving Genetic Programming for Symbolic Regression with Equality Graphs.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2025 Improving Genetic Programming for Symbolic Regression with Equality Graphs

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T18:55:19.045727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:55:19.045727Z digest=sha256:d68aae2bb66c3f844d9d8d4dcade7f22c0808cf4897c904c3ae9a3c2ce70fe3f

Observation 41bd1c4d-e721-4f0b-8499-7ddd17aaca8a · outbound

This paper cites 2008 SCHEME: Caching subtrees in genetic programming.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2008 SCHEME: Caching subtrees in genetic programming

Reference 39

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T18:55:19.861614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T18:55:19.049686Z digest=sha256:73e860e061121431614f529fb0fd1371ed788e6c558a69cfeadc372dd7f14930

Observation 5d65bbbc-5466-44dd-956f-d4ba71f8ed0e · outbound

This paper cites 1992 On the editing distance between unordered labeled trees.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 1992 On the editing distance between unordered labeled trees

Reference 40

Resolution
verified exact
doi, observed 2026-08-05T18:55:19.174098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T18:55:19.053370Z digest=sha256:a9d0448114c56a30cef4dcb2115d1b6f57697a9255dcf37287ef070827fff1aa

Observation 1bc7aff6-19b1-4107-a96b-34eb138ec839 · outbound

This paper cites 2019 Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2019 Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T18:55:19.057224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:55:19.057224Z digest=sha256:e04a85c3fb352ed0c7a788b68be9abc6e9a5284c0caf9db0b78ae45a3b47ca52

Observation 08d7926b-4995-4631-aa17-8a48686dc7d3 · outbound

This paper cites 2020 Operon C++: an efficient genetic programming framework for symbolic regression.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2020 Operon C++: an efficient genetic programming framework for symbolic regression

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T18:55:19.060821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:55:19.060821Z digest=sha256:9a5d02c4cca09b01ea24f93876c504129d063bef303fa469d92ef200cb62a146

Observation 647cab48-bee0-4196-96be-e53afcc46d84 · outbound

This paper cites 2019 The Parallel Hashmap.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2019 The Parallel Hashmap

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:55:20.852094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T18:55:19.064756Z digest=sha256:31e6b51e709c187be3107a0383426a0a7929e70d934f7f84ef42aca4e399f047

Observation 9bc4a997-81cf-4c12-b261-453329f082da · outbound

This paper cites 2021 Scrambled Linear Pseudorandom Number Generators.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2021 Scrambled Linear Pseudorandom Number Generators

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T18:55:19.068882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:55:19.068882Z digest=sha256:a9a7776bfc0939dd2b289472c74db51eb5360f9a5ffca58c50ddd244054d5875

Observation 75c140ec-206e-4ffc-814f-b7eb5ff9f8c0 · outbound

This paper cites 2002 A fast and elitist multiobjective genetic algorithm: NSGA-II.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2002 A fast and elitist multiobjective genetic algorithm: NSGA-II

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T18:55:19.073003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:55:19.073003Z digest=sha256:b0d599db82fd9b3ea85e14c133c116419894d7032360d6d5f6e934b35c3d3ce1

Observation 03c5f7e5-ef7b-4877-9eec-0f4e6d9857c9 · outbound

This paper cites 2019 Minimum description length revisited.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2019 Minimum description length revisited

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T18:55:19.076992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:55:19.076992Z digest=sha256:f4f1bb6a18d6ec2572f9720ecb945137ee5ea6633928943dc76480bec84afbd7

Observation 11f7e32e-dbea-42a4-ae8b-39ab87cb4902 · outbound

This paper cites 2019 The Levenberg-Marquardt algorithm for nonlinear least squares curve-fitting problems.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2019 The Levenberg-Marquardt algorithm for nonlinear least squares curve-fitting problems

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:55:20.837736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T18:55:19.080949Z digest=sha256:326859e0cafa1843ae6623036733ff53f644d3c056be281acf2b1917c20c6d51

Observation 149f15c3-6bb2-470d-946c-7cf361bd0a7b · outbound

This paper cites 2008 Evolutionary Computation in the Chemical Industry.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2008 Evolutionary Computation in the Chemical Industry

Reference 48

Resolution
verified exact
doi, observed 2026-08-05T18:55:19.138527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T18:55:19.085109Z digest=sha256:8defecf5af09b838dd7ae985fe072d22305dfc47783ed95ce839b81e1f0e9ee9

Observation 1b7d1332-8514-4ccd-8cad-de25c96b5e4a · outbound

This paper cites 2021 Application of symbolic regression for constitutive modeling of plastic deformation.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2021 Application of symbolic regression for constitutive modeling of plastic deformation

Reference 49

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T18:55:19.541434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T18:55:19.088935Z digest=sha256:618b0461875231cbc423cbfde8b61874251889e7669e765ff714b33e32a594fb

Observation d8650925-74c1-403c-b078-82d286f0f1a1 · outbound

This paper cites 2018 Predicting friction system performance with symbolic regression and genetic programming with factor variables.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2018 Predicting friction system performance with symbolic regression and genetic programming with factor variables

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T18:55:19.092782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:55:19.092782Z digest=sha256:3ac119fb4a59618d704d6ef8ce56ef545839b6b13544af34c333825d326f9bc7

Observation 37cbaf48-35a2-477a-bf84-92d237f0dcc6 · outbound

This paper cites 2007 Battery data set.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 2007 Battery data set

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:55:20.822666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T18:55:19.096672Z digest=sha256:5749b942070d85c2b61345cdbd18ddced8fdcf2bab951696d5ebe9e6f0725736

Observation ecf6f8b7-aaa0-4dbc-91d9-00475770c801 · outbound

This paper cites 1950 Laws of flow in rough pipes.

Zobrist Hash-based Duplicate Detection in Symbolic Regression 1950 Laws of flow in rough pipes

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:55:20.807789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T18:55:19.100761Z digest=sha256:726916605c9e12911ceafc72d46bc9030f121ecd5933e09e0e32c6ef1847e799

Pith citing papers

No inbound Pith citation observations are available.