Paper Citation Record · LEDGER

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties

As of 15 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.29249.

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

pith.paper-citation-record.v1
2607.29249 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:56:31.563177Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

45 of 45 outbound references displayed

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verified fuzzy0
unresolved44
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

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Outbound references

Observation ec7148f1-8e20-49da-81e4-1b5fd5067b3f · outbound

This paper cites We first evaluate the analytical coercivity models introduced above on the hard-magnet subset.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties We first evaluate the analytical coercivity models introduced above on the hard-magnet subset

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T10:56:31.440436Z

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Observation a79a49e4-285d-4052-baa7-2eb44cb0c063 · outbound

This paper cites an unresolved cited work.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 2

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Observation 6380bffd-e4de-4871-8867-0ab2d8027cb0 · outbound

This paper cites As shown in Fig.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties As shown in Fig

Reference 3

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Observation f16962e3-621d-44dd-b3d7-3eeb61ba755c · outbound

This paper cites The random forest (RF) and the Gaussian process (GP) provide the best predictive performance.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties The random forest (RF) and the Gaussian process (GP) provide the best predictive performance

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T10:56:31.451010Z

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Observation 51765d8b-9e14-4f2e-9eb5-2e6135d9870e · outbound

This paper cites an unresolved cited work.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 5

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Observation 6294a304-33da-4bbb-a442-68c783e6c81e · outbound

This paper cites Ms and K are recovered accurately, with test RMSEs of 14 kA /m and 100 kJ /m3, as shown in Figs.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Ms and K are recovered accurately, with test RMSEs of 14 kA /m and 100 kJ /m3, as shown in Figs

Reference 6

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Observation 6ac24697-3d3b-43ae-9f6a-5e51a8e824ec · outbound

This paper cites SaturationMagnetization.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties SaturationMagnetization

Reference 7

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Observation cc077095-8072-403e-b7bd-5e12afeb854e · outbound

This paper cites Gutfleisch, M.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Gutfleisch, M

Reference 8

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Observation 140aad9a-11ab-46d2-a302-88cf1e9ed442 · outbound

This paper cites an unresolved cited work.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 9

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Observation 97c1c741-6e14-4553-9780-56f37b6e6a36 · outbound

This paper cites an unresolved cited work.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 10

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Observation f26b8ed9-a67c-46e5-b751-0c4fe5a8e859 · outbound

This paper cites Kronm¨ uller, K.-D.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Kronm¨ uller, K.-D

Reference 11

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Observation acd51d8c-f51b-4940-ae39-a487b1aac776 · outbound

This paper cites Fischbacher, A.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Fischbacher, A

Reference 12

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Observation 768127a7-3926-4636-beba-cd51d5221196 · outbound

This paper cites an unresolved cited work.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 13

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Observation bc81627c-5a2e-4650-bf32-56251a070e89 · outbound

This paper cites Schmidt and H.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Schmidt and H

Reference 14

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Observation 876cecb5-dfe5-4ca9-a286-9dc7fa55b4ca · outbound

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

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 15

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Observation 726906fc-f816-46c0-b62c-be3c59b21555 · outbound

This paper cites Fangohr, S.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Fangohr, S

Reference 16

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Observation 0e81aad3-6b06-4c96-a7d5-d4c12f562e6e · outbound

This paper cites an unresolved cited work.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 17

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Observation 67f0c21b-4994-4519-a58b-72240a61666c · outbound

This paper cites Skomski and J.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Skomski and J

Reference 18

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Observation a7c4715f-9112-43f0-a76c-d41d38da71bb · outbound

This paper cites an unresolved cited work.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 19

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Observation ca09f3d0-d42f-465c-bff8-5ec95f447fd2 · outbound

This paper cites Aharoni, Introduction to the Theory of Ferromag- netism (Clarendon Press, Oxford, 2000).

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Aharoni, Introduction to the Theory of Ferromag- netism (Clarendon Press, Oxford, 2000)

Reference 20

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Observation c3614668-2ae4-4931-8dfe-77ffda48e71d · outbound

This paper cites an unresolved cited work.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 21

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Observation 7dab6c5a-e3f8-400b-8b1c-d4a7843519e6 · outbound

This paper cites Kittel, Physical theory of ferromagnetic domains, Rev.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Kittel, Physical theory of ferromagnetic domains, Rev

Reference 22

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Observation c8b63088-62da-4952-8326-74a952d269e5 · outbound

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Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 23

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Observation 1e9f0b42-6b40-4fbc-b34a-81cbb259259f · outbound

This paper cites Bradbury, R.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Bradbury, R

Reference 24

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Observation 6d69ba11-9e32-4ee3-8b72-4e300781fa71 · outbound

This paper cites Pedregosa et al.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Pedregosa et al

Reference 25

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Observation f2013d50-5b80-4f2a-a312-6d784d7014e9 · outbound

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Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 26

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Observation dc75389f-f3b0-4098-aec0-618506a13f5d · outbound

This paper cites Pearson, VII.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Pearson, VII

Reference 27

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Observation 23f2d7c2-ceac-44e2-a802-cd6f4515326d · outbound

This paper cites Spearman, The proof and measurement of association between two things, American Journal of Psychology 15, 72 (1904).

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Spearman, The proof and measurement of association between two things, American Journal of Psychology 15, 72 (1904)

Reference 28

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Observation f46b7860-5ca0-44dc-83d1-4394ff47dcd0 · outbound

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Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 29

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Observation 382db24a-4d76-4b40-81eb-e3f14e074062 · outbound

This paper cites Tibshirani, Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society: Series B (Methodological) 58, 267 (1996).

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Tibshirani, Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society: Series B (Methodological) 58, 267 (1996)

Reference 30

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Observation 14a42544-6ced-4041-96c9-2ad79b06222e · outbound

This paper cites Breiman, Random forests, Machine Learning 45, 5 (2001).

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Breiman, Random forests, Machine Learning 45, 5 (2001)

Reference 31

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Observation 7a0e4ee1-0330-4938-ba6b-c943ebad548c · outbound

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Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 32

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Observation 24a2d1d2-99ae-43df-89b6-275e2e32be6c · outbound

This paper cites Paszke et al.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Paszke et al

Reference 33

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Observation 8b9eddbe-c5e8-4ca6-bd05-2cd23b43a0ef · outbound

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Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 34

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Observation 04c124b0-6465-478e-b95a-da321c5992e6 · outbound

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Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 35

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Observation 942fc3b4-0a67-4ae9-b7c2-f3602881b1d3 · outbound

This paper cites Wager, T.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Wager, T

Reference 36

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Observation cc26fef2-4e2e-4f28-b652-cbe49c562f42 · outbound

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Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 37

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Observation 7b584cc2-e11a-4557-a27f-c4ded73f0f40 · outbound

This paper cites Kronm¨ uller and M.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Kronm¨ uller and M

Reference 38

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Observation 87a03d88-629f-40c6-a29e-df8e0843b700 · outbound

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Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 39

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Observation 8a460b04-2a1a-49a0-9919-e3ab7821c869 · outbound

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Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 40

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Observation 187c21da-3136-4b07-abe5-233ea8a822ef · outbound

This paper cites Arapan, P.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Arapan, P

Reference 41

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Observation d9b09d82-3467-454d-bde7-5145971ee5f0 · outbound

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Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 42

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Observation fa7ba2bc-59c8-4807-855a-2c2559c4443b · outbound

This paper cites Naganuma, M.

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Naganuma, M

Reference 43

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Observation d9cbd8ae-faf6-4c88-8589-e57021ec8b8f · outbound

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Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 44

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Observation d38b759f-737d-4b78-9169-6d47605e3d65 · outbound

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Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties Unresolved cited work

Reference 45

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Pith citing papers

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