Paper Citation Record · LEDGER

Classifying metal-poor stars with machine learning using nucleosynthesis calculations

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2505.14563.

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pith.paper-citation-record.v1
2505.14563 v1

Coverage vector

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40 of 40 outbound references displayed

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Outbound references

Observation 5dc8bbff-0291-422a-8879-c4c7136c9eff · outbound

This paper cites 2018, ApJS, 238, 36, doi: 10.3847/1538-4365/aadfe9.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations 2018, ApJS, 238, 36, doi: 10.3847/1538-4365/aadfe9

Reference 1

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This paper cites 2024, A&A, 685, A66, doi: 10.1051/0004-6361/202348031.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations 2024, A&A, 685, A66, doi: 10.1051/0004-6361/202348031

Reference 2

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Observation b64c5134-a210-4e03-8b48-c6c63bc542de · outbound

This paper cites Chemical abundance inventory in phosphorus-rich stars.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations Chemical abundance inventory in phosphorus-rich stars

Reference 3

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Observation 3b78f5d1-1586-4f8b-a3d9-1f0115bc734b · outbound

This paper cites M., Burbidge, G.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations M., Burbidge, G

Reference 4

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Observation 7e1e8fdd-86b7-4be4-9599-f0a4be35b5d8 · outbound

This paper cites 2015, ApJS, 219, 40, doi: 10.1088/0067-0049/219/2/40.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations 2015, ApJS, 219, 40, doi: 10.1088/0067-0049/219/2/40

Reference 5

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Observation e02b0c7f-9b26-4e4e-8e85-2fe7d2c45289 · outbound

This paper cites The i-process and CEMP-r/s stars.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations The i-process and CEMP-r/s stars

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T15:37:40.727427Z

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Observation 98d3f5a4-d6d9-4f3a-8fcf-703a192581cf · outbound

This paper cites A., Herwig, F., Woodward, P., et al.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations A., Herwig, F., Woodward, P., et al

Reference 7

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Observation 82b43434-ccfd-44eb-8b84-d1ed150ffc4d · outbound

This paper cites K., Karakas, A.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations K., Karakas, A

Reference 8

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Observation c0df25a1-4d42-436e-9fb8-5633d3677f16 · outbound

This paper cites 2018, Annual Review of Nuclear and Particle Science, 68, 237, doi: 10.1146/annurev-nucl-101917-021141.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations 2018, Annual Review of Nuclear and Particle Science, 68, 237, doi: 10.1146/annurev-nucl-101917-021141

Reference 9

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Observation ceed12b8-8478-4a20-af53-a08a2a84c8ef · outbound

This paper cites A., Daflon, S., Placco, V.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations A., Daflon, S., Placco, V

Reference 10

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Observation 7b8991a0-51e5-4d9d-a70f-7f6c5dfa0548 · outbound

This paper cites 2024, in EAS2024, European Astronomical Society Annual Meeting, 786.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations 2024, in EAS2024, European Astronomical Society Annual Meeting, 786

Reference 11

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This paper cites 2025, ApJS, 277, 19, doi: 10.3847/1538-4365/adae86.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations 2025, ApJS, 277, 19, doi: 10.3847/1538-4365/adae86

Reference 12

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Observation 24dc6b1b-031d-4177-8b4d-76013753bbb6 · outbound

This paper cites J., Lugaro, M., & Meyer, B.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations J., Lugaro, M., & Meyer, B

Reference 13

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Observation 185eda22-6902-432e-8305-4dc208f04a94 · outbound

This paper cites N., Kobayashi, C., Tominaga, N., & Nomoto, K.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations N., Kobayashi, C., Tominaga, N., & Nomoto, K

Reference 14

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This paper cites 2025, ApJ, 980, 90, doi: 10.3847/1538-4357/ad9686.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations 2025, ApJ, 980, 90, doi: 10.3847/1538-4357/ad9686

Reference 15

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Observation 85cf6898-4639-4f00-9b02-81d9f3e75dc3 · outbound

This paper cites R., Sharma, S., Bland-Hawthorn, J., et al.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations R., Sharma, S., Bland-Hawthorn, J., et al

Reference 16

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Observation 993ced78-6d37-4f86-8700-1b1838d7fd12 · outbound

This paper cites 2024, MNRAS, 532, 1099, doi: 10.1093/mnras/stae1567.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations 2024, MNRAS, 532, 1099, doi: 10.1093/mnras/stae1567

Reference 17

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Classifying metal-poor stars with machine learning using nucleosynthesis calculations Unresolved cited work

Reference 18

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Observation 88102a97-de57-48e8-a56a-090b9475dcc9 · outbound

This paper cites 2015, Mon.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations 2015, Mon

Reference 19

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Observation 21b0156e-0904-47e8-8daf-048aef06f8eb · outbound

This paper cites I., & Lugaro, M.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations I., & Lugaro, M

Reference 20

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Observation f2b64df3-3915-440c-b192-54de9e5a4cee · outbound

This paper cites I., Lugaro, M., Carlos, M., et al.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations I., Lugaro, M., Carlos, M., et al

Reference 21

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Observation aa1c1c17-555e-452f-aa0e-93c42a23b3a6 · outbound

This paper cites I., Marino, A.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations I., Marino, A

Reference 22

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This paper cites 2024, A&A, 691, A98, doi: 10.1051/0004-6361/202451427.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations 2024, A&A, 691, A98, doi: 10.1051/0004-6361/202451427

Reference 23

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This paper cites 2021, Chinese Physics C, 45, 030001, doi: 10.1088/1674-1137/abddae.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations 2021, Chinese Physics C, 45, 030001, doi: 10.1088/1674-1137/abddae

Reference 24

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Observation c81c23a8-6830-41e5-b3de-d6a839ef22ca · outbound

This paper cites M., Meyer, B.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations M., Meyer, B

Reference 25

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Observation 01b27d2e-84e4-47c4-8b44-ce024a5f38d9 · outbound

This paper cites L., Du, C.-D., et al.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations L., Du, C.-D., et al

Reference 26

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Observation 68eefb9c-60e7-4438-a566-86ecf46ef472 · outbound

This paper cites I., Stancliffe, R.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations I., Stancliffe, R

Reference 27

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Observation d2c2ee1e-a24c-4d91-80ef-f3d571cefb55 · outbound

This paper cites 2015, PhRvC, 91, 024310, doi: 10.1103/PhysRevC.91.024310 M¨ oller, P., Sierk, A.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations 2015, PhRvC, 91, 024310, doi: 10.1103/PhysRevC.91.024310 M¨ oller, P., Sierk, A

Reference 28

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Observation e6d6054a-2ad3-49db-ada5-f7eba629d848 · outbound

This paper cites R., Kawano, T., Sprouse, T.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations R., Kawano, T., Sprouse, T

Reference 29

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Observation 4d5dc428-8287-4e9e-8b97-22a132858145 · outbound

This paper cites One-Class Classification: A Survey.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations One-Class Classification: A Survey

Reference 30

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Observation 750fd727-adb4-47f6-a522-dac86c7ce319 · outbound

This paper cites 2018, ApJ, 869, 130, doi: 10.3847/1538-4357/aaf054.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations 2018, ApJ, 869, 130, doi: 10.3847/1538-4357/aaf054

Reference 31

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Classifying metal-poor stars with machine learning using nucleosynthesis calculations 2024, MNRAS, 529, 3197, doi: 10.1093/mnras/stae561

Reference 32

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This paper cites U., Karakas, A.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations U., Karakas, A

Reference 33

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This paper cites 2001, Neural Computation, 13, 1443, doi: 10.1162/089976601750264965.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations 2001, Neural Computation, 13, 1443, doi: 10.1162/089976601750264965

Reference 34

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This paper cites J., Doherty, C.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations J., Doherty, C

Reference 35

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Observation c7859688-4300-440b-87f5-7f0d7d0372c7 · outbound

This paper cites J., & Gallino, R.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations J., & Gallino, R

Reference 36

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This paper cites 2017, PhRvC, 96, 044308, doi: 10.1103/PhysRevC.96.044308.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations 2017, PhRvC, 96, 044308, doi: 10.1103/PhysRevC.96.044308

Reference 37

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Observation 65ebb0d8-3f6d-430a-b0bb-f638547ddeba · outbound

This paper cites 2019, Journal of Physics G Nuclear Physics, 46, 065202, doi: 10.1088/1361-6471/ab0bea.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations 2019, Journal of Physics G Nuclear Physics, 46, 065202, doi: 10.1088/1361-6471/ab0bea

Reference 38

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Observation 8bad2549-74cd-431b-a360-53d2834e6e34 · outbound

This paper cites 2024, Phys.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations 2024, Phys

Reference 39

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This paper cites 2021, Chinese Physics C, 45, 030003, doi: 10.1088/1674-1137/abddaf.

Classifying metal-poor stars with machine learning using nucleosynthesis calculations 2021, Chinese Physics C, 45, 030003, doi: 10.1088/1674-1137/abddaf

Reference 40

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