Paper Citation Record · LEDGER

Machine Learning for Electrode Materials: Property Prediction via Composition

As of 5 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2603.07805.

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

pith.paper-citation-record.v1
2603.07805 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:39:19.041496Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

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

42 of 42 outbound references displayed

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verified fuzzy0
unresolved37
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malformed identifier5
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External citation measurements

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Outbound references

Observation ba67362e-ae62-49e4-add9-74c357273378 · outbound

This paper cites an unresolved cited work.

Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:13.911649Z

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Observation 09fe4b7c-e026-4bda-ad8a-a92dc32f69b4 · outbound

This paper cites an unresolved cited work.

Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 2

Resolution: malformed identifier; no resolver link, observed 2026-08-02T18:39:14.075774Z

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Observation 0ee67a32-514a-4596-ae8f-748de519ed2e · outbound

This paper cites Figure 4 shows a 2D-map of the t-SNE embeddings of MODNet and CrabNet features.

Machine Learning for Electrode Materials: Property Prediction via Composition Figure 4 shows a 2D-map of the t-SNE embeddings of MODNet and CrabNet features

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:13.797698Z

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Observation 046b0d9b-08e2-410e-8856-125bbfbc4aa6 · outbound

This paper cites an unresolved cited work.

Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:14.213501Z

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Observation f663d651-0b29-45a0-9e74-7def47581ef6 · outbound

This paper cites Zhang, C.

Machine Learning for Electrode Materials: Property Prediction via Composition Zhang, C

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:14.324768Z

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Observation 1a2c691e-53b6-4993-88d3-fa3507b50786 · outbound

This paper cites Wei,et al., Machine learning in materials science.InfoMat1(3), 338–358 (2019), doi: 10.1002/inf2.12028.

Machine Learning for Electrode Materials: Property Prediction via Composition Wei,et al., Machine learning in materials science.InfoMat1(3), 338–358 (2019), doi: 10.1002/inf2.12028

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:14.482050Z

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Observation f421db4c-985c-473f-97b9-56ceb52dfeaf · outbound

This paper cites an unresolved cited work.

Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:14.692411Z

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Observation 2020a4a4-290a-4a67-b37e-623a69687375 · outbound

This paper cites an unresolved cited work.

Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:14.856427Z

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Observation 6b44360a-5eaa-437f-a8d6-55ccd50c0366 · outbound

This paper cites an unresolved cited work.

Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:15.047660Z

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Observation f6e12778-83df-4bf3-ad92-0783cd4655ad · outbound

This paper cites an unresolved cited work.

Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:15.178930Z

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Observation 11b5600e-8672-42c1-9792-e32f39ec057b · outbound

This paper cites Choudhary,et al., Recent advances and applications of deep learning methods in materials science.npj Computational Materials8(1), 59 (2022), doi:10.1038/s41524-022-00734-6.

Machine Learning for Electrode Materials: Property Prediction via Composition Choudhary,et al., Recent advances and applications of deep learning methods in materials science.npj Computational Materials8(1), 59 (2022), doi:10.1038/s41524-022-00734-6

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:15.311262Z

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Observation cc729ace-1696-4272-84f9-ad1b6840f180 · outbound

This paper cites an unresolved cited work.

Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:15.457019Z

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Observation 6f1c6de0-5159-49b2-8fbe-4a1f9bd791ba · outbound

This paper cites Zhou,et al., Machine learning assisted prediction of cathode materials for Zn-ion batteries.

Machine Learning for Electrode Materials: Property Prediction via Composition Zhou,et al., Machine learning assisted prediction of cathode materials for Zn-ion batteries

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:15.603070Z

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Observation 8a16496d-f15b-4e03-9617-82f095b588f4 · outbound

This paper cites an unresolved cited work.

Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 14

Resolution: malformed identifier; no resolver link, observed 2026-08-02T18:39:15.775489Z

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Observation d6a4e827-c232-44e1-a5f0-d057809cb139 · outbound

This paper cites Zhang, Y.

Machine Learning for Electrode Materials: Property Prediction via Composition Zhang, Y

Reference 15

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Observation 43150ce8-50f9-4593-bf59-0e92b7e91d35 · outbound

This paper cites Ward,et al., Matminer: An open source toolkit for materials data mining.Computational Materials Science152, 60–69 (2018), doi:10.1016/j.commatsci.2018.05.018.

Machine Learning for Electrode Materials: Property Prediction via Composition Ward,et al., Matminer: An open source toolkit for materials data mining.Computational Materials Science152, 60–69 (2018), doi:10.1016/j.commatsci.2018.05.018

Reference 16

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Observation 6f63a603-6e69-47ca-949b-ff7f89634150 · outbound

This paper cites an unresolved cited work.

Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:16.273112Z

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Observation 1d420c75-8483-4173-8e10-7c24c81a8130 · outbound

This paper cites de Jong,et al., Charting the complete elastic properties of inorganic crystalline compounds.

Machine Learning for Electrode Materials: Property Prediction via Composition de Jong,et al., Charting the complete elastic properties of inorganic crystalline compounds

Reference 18

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Observation da2cc112-fad0-47d4-ac73-64098ac67fb0 · outbound

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Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:16.555771Z

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Observation e300cc3e-a990-492b-9a64-3941ce1a5465 · outbound

This paper cites an unresolved cited work.

Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 20

Resolution: malformed identifier; no resolver link, observed 2026-08-02T18:39:16.730611Z

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Observation 0d2460b3-0933-40a4-ae37-b5c941fc1b01 · outbound

This paper cites an unresolved cited work.

Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:16.866951Z

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Observation d6b283df-b20e-4ab4-975d-c8ef8fec2f49 · outbound

This paper cites an unresolved cited work.

Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:16.984124Z

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Observation a95e9ae7-9f9c-4ac5-b3c6-fac6c0375520 · outbound

This paper cites an unresolved cited work.

Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:17.123284Z

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Observation a7b12363-01e7-4473-8617-9e28b606e9a4 · outbound

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Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:17.267434Z

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Observation b61c8c8d-fb9e-4765-9574-9e8e9c7aa078 · outbound

This paper cites Tshitoyan,et al., Unsupervised word embeddings capture latent knowledge from materials science literature.Nature571(7763), 95–98 (2019), doi:10.1038/s41586-019-1335-8.

Machine Learning for Electrode Materials: Property Prediction via Composition Tshitoyan,et al., Unsupervised word embeddings capture latent knowledge from materials science literature.Nature571(7763), 95–98 (2019), doi:10.1038/s41586-019-1335-8

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:17.396603Z

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Observation 60e6d7cd-755f-48d9-8548-ad43fabcf972 · outbound

This paper cites Jha,et al., Elemnet: Deep learning the chemistry of materials from only elemental compo- sition.Scientific reports8(1), 17593 (2018), doi:10.1038/s41598-018-35934-y.

Machine Learning for Electrode Materials: Property Prediction via Composition Jha,et al., Elemnet: Deep learning the chemistry of materials from only elemental compo- sition.Scientific reports8(1), 17593 (2018), doi:10.1038/s41598-018-35934-y

Reference 26

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Observation 725c5383-61e5-498a-9cbd-61825e3ca60d · outbound

This paper cites De Breuck, G.

Machine Learning for Electrode Materials: Property Prediction via Composition De Breuck, G

Reference 27

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Observation b108abea-7087-4479-9954-a7eff362639e · outbound

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Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:17.621543Z

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Observation 3c7d3aff-ebee-4c15-b028-4579e4ee68ef · outbound

This paper cites an unresolved cited work.

Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 29

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Observation 0949abbe-4ca4-4f74-b170-7cd995210ce7 · outbound

This paper cites Heath, S.

Machine Learning for Electrode Materials: Property Prediction via Composition Heath, S

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:17.785869Z

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Observation 6fd63afd-96f3-46c8-b4f3-6602e66af158 · outbound

This paper cites De Breuck, M.

Machine Learning for Electrode Materials: Property Prediction via Composition De Breuck, M

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:17.864215Z

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Observation 0873a6a1-3de4-4411-849a-dfbedd4aace6 · outbound

This paper cites Kraskov, H.

Machine Learning for Electrode Materials: Property Prediction via Composition Kraskov, H

Reference 32

Resolution: malformed identifier; no resolver link, observed 2026-08-02T18:39:17.943818Z

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Observation ece642c0-702b-4c75-892a-141db887bf35 · outbound

This paper cites Vaswani,et al., Attention is all you need.Advances in neural information processing systems 30, 5998–6008 (2017).

Machine Learning for Electrode Materials: Property Prediction via Composition Vaswani,et al., Attention is all you need.Advances in neural information processing systems 30, 5998–6008 (2017)

Reference 33

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Observation b9f07a59-a219-4505-ba23-0c01a99a23e1 · outbound

This paper cites an unresolved cited work.

Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:18.124687Z

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Observation 77ec79e8-1e84-4426-bcc6-78233b4bd9bb · outbound

This paper cites an unresolved cited work.

Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:18.136415Z

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Observation d0772041-de8e-4a55-87f7-fbe305d04dcd · outbound

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Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 36

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Observation dc3f8710-4c9c-4cc7-bf37-ba2b9906f2f8 · outbound

This paper cites Vallender, Calculation of the Wasserstein distance between probability distributions on the line.Theory of Probability & Its Applications18(4), 784–786 (1974).

Machine Learning for Electrode Materials: Property Prediction via Composition Vallender, Calculation of the Wasserstein distance between probability distributions on the line.Theory of Probability & Its Applications18(4), 784–786 (1974)

Reference 37

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Observation 330bfc6c-4eca-49b8-bd5e-0a76069adc39 · outbound

This paper cites an unresolved cited work.

Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:18.470667Z

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Observation 369883f3-b18c-4bff-a0c7-34e73d6ed1f4 · outbound

This paper cites Stone, Cross-validation: A review.Statistics: A Journal of Theoretical and Applied Statistics 9(1), 127–139 (1978).

Machine Learning for Electrode Materials: Property Prediction via Composition Stone, Cross-validation: A review.Statistics: A Journal of Theoretical and Applied Statistics 9(1), 127–139 (1978)

Reference 39

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Observation ad9e64e7-608a-412d-a514-55582ad29dec · outbound

This paper cites Refaeilzadeh, L.

Machine Learning for Electrode Materials: Property Prediction via Composition Refaeilzadeh, L

Reference 40

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Observation f54c4863-1762-4354-be3a-22c883d323dd · outbound

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Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 41

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Observation 212cc8ec-6c27-4fdf-8fe3-202feddac9c9 · outbound

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Machine Learning for Electrode Materials: Property Prediction via Composition Unresolved cited work

Reference 42

Resolution: malformed identifier; no resolver link, observed 2026-08-02T18:39:19.041496Z

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Pith citing papers

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