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Paper Citation Record · LEDGER

A New Deterministic Technique for Symbolic Regression

As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:1908.06754.

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

pith.paper-citation-record.v1
1908.06754 v4

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:06:09.130172Z

measured 27 of 27 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.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

  • verified exact2
  • verified fuzzy15
  • unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7774487-74c2-42fd-b097-a2bc6e77233a · outbound

This paper cites an unresolved cited work.

A New Deterministic Technique for Symbolic Regression Unresolved cited work

Reference 1

Resolution
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Source-reported events for the cited work

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Observation daad3f9b-8a92-425e-a49e-81902211ccbc · outbound

This paper cites an unresolved cited work.

A New Deterministic Technique for Symbolic Regression Unresolved cited work

Reference 2

Resolution
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Source-reported events for the cited work

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Observation 9a0fff1c-3865-4634-8aca-4c2967981f62 · outbound

This paper cites Langdon, and Nicholas Freitag McPhee.

A New Deterministic Technique for Symbolic Regression Langdon, and Nicholas Freitag McPhee

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bc00e0be-429d-4478-80d2-ff74f2f3748b · outbound

This paper cites Springer US, Boston, MA, 2007.

A New Deterministic Technique for Symbolic Regression Springer US, Boston, MA, 2007

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5daae5fc-6abf-481b-b803-a5013d9d5e27 · outbound

This paper cites an unresolved cited work.

A New Deterministic Technique for Symbolic Regression Unresolved cited work

Reference 5

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 75acae58-f7ed-4530-8f85-5b375fe2875d · outbound

This paper cites Cartesian genetic programming.

A New Deterministic Technique for Symbolic Regression Cartesian genetic programming

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a2e14b59-22ed-4377-b2c4-8f84a3dc15fd · outbound

This paper cites Positional Cartesian Genetic Programming.

A New Deterministic Technique for Symbolic Regression Positional Cartesian Genetic Programming

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1ed95677-ca61-4cbc-a618-a526ac5099f3 · outbound

This paper cites On crossover success rate in genetic programming with offspring selection.

A New Deterministic Technique for Symbolic Regression On crossover success rate in genetic programming with offspring selection

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 21bdabbb-c271-4077-ba89-b6baef21a620 · outbound

This paper cites Medial crossovers for genetic programming.

A New Deterministic Technique for Symbolic Regression Medial crossovers for genetic programming

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8f452661-52fe-4928-980d-21c9e69c411a · outbound

This paper cites McConaghy and G.

A New Deterministic Technique for Symbolic Regression McConaghy and G

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b54e6eae-f19d-4f7e-a0ca-5386c6138142 · outbound

This paper cites Applying genetic programming to civil engineering in the improvement of models, codes and norms.

A New Deterministic Technique for Symbolic Regression Applying genetic programming to civil engineering in the improvement of models, codes and norms

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 400d7bb1-cc4c-4d51-86ea-b1f42eed7973 · outbound

This paper cites an unresolved cited work.

A New Deterministic Technique for Symbolic Regression Unresolved cited work

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b449a2c8-5e2d-480b-a409-a8371f540488 · outbound

This paper cites Geometric semantic genetic programming is overkill.

A New Deterministic Technique for Symbolic Regression Geometric semantic genetic programming is overkill

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c2b7fc3d-1abe-41dd-b436-ee6998a37399 · outbound

This paper cites Solving the Exponential Growth of Symbolic Regression Trees in Geometric Semantic Genetic Programming.

A New Deterministic Technique for Symbolic Regression Solving the Exponential Growth of Symbolic Regression Trees in Geometric Semantic Genetic Programming

Reference 14

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1daaeaca-7253-4049-94d5-8e30742c40d2 · outbound

This paper cites Geometric semantic genetic programming for financial data.

A New Deterministic Technique for Symbolic Regression Geometric semantic genetic programming for financial data

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8b2564c6-5040-4d4d-912f-522104b383fd · outbound

This paper cites an unresolved cited work.

A New Deterministic Technique for Symbolic Regression Unresolved cited work

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c5cbe6bf-f381-4e13-92b7-cc3af1d1e59c · outbound

This paper cites FFX: Fast, Scalable, Deterministic Symbolic Regression Technology, pages 235–260.

A New Deterministic Technique for Symbolic Regression FFX: Fast, Scalable, Deterministic Symbolic Regression Technology, pages 235–260

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b6286f15-94e2-4c53-83c8-cf5870c6709f · outbound

This paper cites an unresolved cited work.

A New Deterministic Technique for Symbolic Regression Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9ae0dbb3-bb05-476b-8561-5fb3f822437d · outbound

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

A New Deterministic Technique for Symbolic Regression Predicting friction system performance with symbolic regression and genetic programming with factor variables

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7dc0053c-de76-4035-a6e7-8ce205251f6f · outbound

This paper cites The average height of binary trees and other simple trees.

A New Deterministic Technique for Symbolic Regression The average height of binary trees and other simple trees

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b35cab2d-b21a-4d3b-a6f6-1326af88276b · outbound

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A New Deterministic Technique for Symbolic Regression Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b9b4fbce-b68b-45dd-ad43-cb5778d8fdd7 · outbound

This paper cites Julia: A fresh approach to numerical computing.

A New Deterministic Technique for Symbolic Regression Julia: A fresh approach to numerical computing

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 604c3bfd-31f9-4c3a-8ce8-da79e1382fba · outbound

This paper cites an unresolved cited work.

A New Deterministic Technique for Symbolic Regression Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e8d5ecaa-2461-4b6c-b2a2-827b382a9379 · outbound

This paper cites Harrison and Daniel L.

A New Deterministic Technique for Symbolic Regression Harrison and Daniel L

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2c006cc9-30a9-48a6-9974-7fb0e86e4488 · outbound

This paper cites Python Machine Learning.

A New Deterministic Technique for Symbolic Regression Python Machine Learning

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 88419435-8fd9-4e06-ad82-c912b7ff4664 · outbound

This paper cites Snyman and D.N.

A New Deterministic Technique for Symbolic Regression Snyman and D.N

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2caa7a15-ebac-45cf-8291-2bd117bb15e9 · outbound

This paper cites an unresolved cited work.

A New Deterministic Technique for Symbolic Regression Unresolved cited work

Reference 2012

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.