Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:56:28.513017Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2504.14242.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:56:28.513017Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
48 of 48 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 2cbf4670-7970-48ba-8679-4fe1280f5467 · outbound
Reference 1
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Observation f3075726-3cc7-4975-81ec-7df4ecf726d4 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier HTTP Mailbox - Asynchronous RESTful Communication
Reference 2
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Observation c6c1d374-e689-4eb4-be04-746fb98c1782 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Machine Learning in Astronomy: a practical overview
Reference 3
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Observation 0b6c9f2b-86ad-4d2c-8a7a-b1e9fa6bdcf9 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 4
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Observation afbace78-791c-462f-a156-00a1bd53bbc8 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier L., et al., 2011, @doi [ ] 10.1088/0004-6256/142/4/103 , https://ui.adsabs.harvard.edu/abs/2011AJ....142..103B 142, 103
Reference 5
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Observation a7cbdc85-fa76-4ea9-bc57-980259a643be · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 6
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Observation 15d7f5e9-2d01-4a8e-a1f7-95d9298b5156 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier S., 2010, @doi [ ] 10.1088/0004-637X/712/1/511 , https://ui.adsabs.harvard.edu/abs/2010ApJ...712..511C 712, 511
Reference 7
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Observation cc8e5610-452e-4cd5-be3a-acc45d769d9a · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier SMOTE: Synthetic Minority Over-sampling Technique
Reference 8
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Observation 5c72327e-4410-494c-82d5-1362e83d527c · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Spectral identification and classification of dusty stellar sources using spectroscopic and multiwavelength observations through machine learning
Reference 9
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Observation 69ffd238-9bbe-4be5-8c6e-682043c47875 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8b793f76-50d4-4cef-a3d0-5ce194098ee5 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier R., et al., 2017, @doi [ ] 10.1093/mnras/stw2708 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.465..403G 465, 403
Reference 11
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Observation 64f867c6-1e29-4014-adea-578e6cc78020 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTS
Reference 12
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Observation 3bac8cbc-a147-48a9-ab05-1b1cdf8b6274 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 13
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Observation 6e99d136-54db-4e17-b8bc-c5fcbb817a0f · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier AGB population as probes of galaxy structure and evolution
Reference 14
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Observation 62281bc2-22e7-4072-86a2-e45e302e4a4d · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Mass-loss rates of cool evolved stars in M33 galaxy
Reference 15
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Observation 19456577-f7f5-471f-8484-0ab6f486b9cf · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier T., Khosroshahi H., Mirtorabi M
Reference 17
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Observation c92dc116-4df1-440a-9981-de1bcac041d7 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier C., et al., 2017, @doi [ ] 10.1093/mnras/stx1101 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.470.3250J 470, 3250
Reference 18
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Observation f4fb9e9d-2778-45a5-a5d5-fa5a4d3bd0db · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 19
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Observation f642431f-96eb-4043-98d7-41bf97f3b3bf · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier R., Van Winckel H., 2014, @doi [ ] 10.1093/mnras/stt2033 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.439.2211K 439, 2211
Reference 20
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Observation eaaef63d-9e52-45fb-b07b-44c9036dc8ed · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier R., Van Winckel H., 2015, @doi [ ] 10.1093/mnras/stv1202 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.454.1468K 454, 1468
Reference 21
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Observation 28c25a6b-2487-4766-8f4f-8cc349ac5918 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 22
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Observation 24e6d222-ec56-42c0-92b7-0b2f067fcdc6 · outbound
Reference 23
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Observation 85eaea8c-4221-4c2b-86ae-f6ef831d5fea · outbound
Reference 24
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Observation 95947427-9acd-4d52-a627-5c0db5567f5a · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 25
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Observation 7269246e-8662-4950-b6a7-361438936da8 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier The Physical Properties of Red Supergiants
Reference 26
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Observation 02338dcf-6ac5-43f3-a2f0-1123455baf96 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 27
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Observation bca5b68b-0315-42af-9a67-a9bb72b2ad2e · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 28
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Observation 6506e220-c174-4904-b3c5-ea8ee51f1d55 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier A., 2016, @doi [ ] 10.3847/2041-8205/823/2/L38 , https://ui.adsabs.harvard.edu/abs/2016ApJ...823L..38M 823, L38
Reference 29
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Observation 4b35b450-e6f4-4719-9c7a-4220f2d49925 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 30
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Observation d8362eb9-1618-4707-b2df-35d841433283 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 31
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Observation 2b3b8aa5-7586-4848-a16a-0e19505a0325 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 32
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Observation a16bc1bd-2fb1-4142-8048-9ecb4a992203 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier M., et al., 2013, @doi [ ] 10.1093/mnras/sts250 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.428.3001O 428, 3001
Reference 33
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Observation b01c9301-55c5-4e4d-b175-f1a2003b5aa6 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 34
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Observation 8b84483f-7415-449b-a7ec-0a91f8fb9ab9 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 35
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Observation 864c3f90-6e86-45ae-8285-dd721cb895c1 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 36
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Observation f81f4992-986b-4098-820c-e8f1860b29f3 · outbound
Reference 37
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Observation 91eb1bd8-360a-4341-8dea-a5fad11fd6e5 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier T., Khosroshahi H
Reference 38
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Observation 6f164b8d-fd62-4f82-a47a-ee460bd5f11d · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 39
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Observation 4e8d069b-a62a-47a8-8ef8-ef8dbabbdb6f · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 40
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Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 41
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Observation c518e793-02e5-4e39-ace3-c8c7a3dc0553 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 42
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Observation c8a64f6c-2054-4e03-99c7-2ca384c72f42 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier From evolved Long-Period-Variable stars to the evolution of M31
Reference 43
Source-reported events for the cited work
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Observation b88c7edb-66cd-4b6e-8376-0e290666e615 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier N., 1995, The nature of statistical learning theory
Reference 44
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Observation f84dbad6-cb46-4964-a279-8360187c5c05 · outbound
Reference 45
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Observation 48ab59b6-cedc-435f-a93a-2f028108e55a · outbound
Reference 46
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Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier M., et al., 2011, @doi [ ] 10.1111/j.1365-2966.2010.17794.x , https://ui.adsabs.harvard.edu/abs/2011MNRAS.411.1597W 411, 1597
Reference 47
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Observation 6bf496d0-efdc-4ddc-aad8-0ef72d0579ca · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 48
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Observation c770a4ac-cc33-4d8a-80ae-14f32d918904 · outbound
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Unresolved cited work
Reference 49
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No inbound Pith citation observations are available.