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Paper Citation Record · LEDGER

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds

As of 13 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2608.08088.

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

pith.paper-citation-record.v1
2608.08088 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:31:30.744750Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

29 of 29 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 531e43b4-1d9c-4ab1-81ae-c46d07c95781 · outbound

This paper cites Spintronics: Fundamentals and applications.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds Spintronics: Fundamentals and applications

Reference 1

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Observation a9419f4b-011d-4951-bf89-ef4e75d79092 · outbound

This paper cites K.; Gschneidner, K.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds K.; Gschneidner, K

Reference 2

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Observation f50e89f1-fb7b-4273-b104-62c436a7b582 · outbound

This paper cites an unresolved cited work.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds Unresolved cited work

Reference 3

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Observation bb5a316e-d9ae-4c5b-976a-42b5c0e96ee6 · outbound

This paper cites an unresolved cited work.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds Unresolved cited work

Reference 4

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Observation 15c85fd8-99e0-449b-957c-7b2e7c8435ad · outbound

This paper cites Superexchange interaction and symmetry properties of electron orbitals.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds Superexchange interaction and symmetry properties of electron orbitals

Reference 5

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Observation 01b28dcb-cf83-4680-845b-98172c761e4d · outbound

This paper cites Anomalous transport phenomena in Eu-chalcogenide alloys.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds Anomalous transport phenomena in Eu-chalcogenide alloys

Reference 6

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Observation 541e51bb-1dd9-4ea2-ac18-8df1077db6a2 · outbound

This paper cites an unresolved cited work.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds Unresolved cited work

Reference 7

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Observation 15354106-7289-480f-a413-8f12dec2837a · outbound

This paper cites C.; Casta\ n eda-Priego, R.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds C.; Casta\ n eda-Priego, R

Reference 8

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f13e872e-a19e-4f41-be76-12d1e98f0472 · outbound

This paper cites M.; Zhu, J.-X.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds M.; Zhu, J.-X

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e47c8b08-59e4-4b2f-ac55-c008a2390e21 · outbound

This paper cites Structure-driven prediction of magnetic order in uranium compounds.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds Structure-driven prediction of magnetic order in uranium compounds

Reference 10

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Observation c34971ed-fbc0-4994-9f57-e7150ccc5f5d · outbound

This paper cites Discovering phase transitions with unsupervised learning.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds Discovering phase transitions with unsupervised learning

Reference 11

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Observation d4d3549b-7af8-4df8-bfde-d43267271f62 · outbound

This paper cites Unsupervised machine learning method for the phase behavior of the constant magnetization Ising model in two and three dimensions.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds Unsupervised machine learning method for the phase behavior of the constant magnetization Ising model in two and three dimensions

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d0166a6f-dd8b-4406-afa1-d151b7832367 · outbound

This paper cites The magnetic, optical, and transport properties of representatives of a class of magnetic semiconductors: The europium chalcogenides.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds The magnetic, optical, and transport properties of representatives of a class of magnetic semiconductors: The europium chalcogenides

Reference 13

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 71258de5-e6d9-437e-8fb4-e4b868d6995d · outbound

This paper cites P.; Hautier, G.; Chen, W.; Richards, W.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds P.; Hautier, G.; Chen, W.; Richards, W

Reference 14

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4c283541-029b-444e-a790-58cfae86646b · outbound

This paper cites P.; Cholia, S.; Jain, A.; Brafman, M.; Gunter, D.; Ceder, G.; Persson, K.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds P.; Cholia, S.; Jain, A.; Brafman, M.; Gunter, D.; Ceder, G.; Persson, K

Reference 15

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ba54146c-2025-4dea-bfb4-6b3917a67b93 · outbound

This paper cites P.; Richards, W.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds P.; Richards, W

Reference 16

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e6ed8edb-e6a0-4f3d-8f76-49aec2ae1f75 · outbound

This paper cites P.; Kondor, R.; Cs\' a nyi, G.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds P.; Kondor, R.; Cs\' a nyi, G

Reference 17

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 26e95a0f-64a2-4416-b83d-bebdeb112dea · outbound

This paper cites an unresolved cited work.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds Unresolved cited work

Reference 18

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e759c0be-e9bb-4301-95f4-643939b56473 · outbound

This paper cites Diffusion constants near the critical point for time-dependent Ising models.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds Diffusion constants near the critical point for time-dependent Ising models

Reference 19

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Observation 1b8eb425-1453-49e1-aff9-5dc0b6b220d7 · outbound

This paper cites W.; Rosenbluth, M.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds W.; Rosenbluth, M

Reference 20

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 92305b5f-74ce-4512-8d2e-3ed2c52eab82 · outbound

This paper cites an unresolved cited work.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds Unresolved cited work

Reference 21

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Observation b53dc537-6616-4c71-9e1c-d356b4283a68 · outbound

This paper cites Importance of feature construction in machine learning for phase transitions.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds Importance of feature construction in machine learning for phase transitions

Reference 22

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 8f36069a-b4b7-45fe-bbee-a0ce295e9ae4 · outbound

This paper cites an unresolved cited work.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds Unresolved cited work

Reference 23

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 886a9912-053b-4204-8293-3d2edba55bd3 · outbound

This paper cites The critical temperature of the 2D-Ising model through deep learning autoencoders.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds The critical temperature of the 2D-Ising model through deep learning autoencoders

Reference 24

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T00:31:30.714003Z digest=sha256:67fe063dd5e5769d38605ab19e7f59832817e8329308fb517388dbfeba3b298d

Observation f5b5c6ad-60d7-4f18-ae2f-de2772e67afa · outbound

This paper cites Hybridization, crystal field and magnetism in rare earths and core level spectroscopy.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds Hybridization, crystal field and magnetism in rare earths and core level spectroscopy

Reference 25

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T00:31:30.719456Z digest=sha256:e611006266a614f0eb84033118b42f6f8ae3b51b3ac2b9efe3610dbc4fd9ccec

Observation 82056335-f63c-4694-8b20-84974b37f0ba · outbound

This paper cites S.; Farout, M.; Salmani, E.; Erum, N.; Kim, S.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds S.; Farout, M.; Salmani, E.; Erum, N.; Kim, S

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T00:31:30.725385Z digest=sha256:0a4aad278f5c390057c7ce647ac2f72331962cd8d52a9ae4cd17a7e0009cd603

Observation b74005d5-40ed-4a4a-83f0-8a3e39b48f27 · outbound

This paper cites Improved high-temperature expansion and critical equation of state of three-dimensional Ising-like systems.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds Improved high-temperature expansion and critical equation of state of three-dimensional Ising-like systems

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T00:31:30.731649Z digest=sha256:9d760fea02aa6c62116cd9f2f2efdab573a2d54288c3946315b805ed5034c106

Observation 3a346824-5523-437b-b461-0c6878d8de7a · outbound

This paper cites V.; Korableva, S.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds V.; Korableva, S

Reference 28

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T00:31:30.738009Z digest=sha256:b90ffac0c8d126eada03a19e42fecb1f8956c76ea55b597acda9da835602888e

Observation 953b1172-e0f9-4884-81b1-e9f6650af862 · outbound

This paper cites L.; Bl\" o te, H.

Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds L.; Bl\" o te, H

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T00:31:30.744750Z digest=sha256:71baf1eaa225bd990d025849df663f8b8bc3e31552e47ed11d0918974e340420

Pith citing papers

No inbound Pith citation observations are available.