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Paper Citation Record · LEDGER

Cosmic ray composition study using machine learning at the IceCube Neutrino Observatory

As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:1908.06433.

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

pith.paper-citation-record.v1
1908.06433 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:50:51.342345Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

15 of 15 outbound references displayed

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External citation measurements

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Outbound references

Observation 687b3b06-9863-4ac6-a8e8-2c5c799c35be · outbound

This paper cites an unresolved cited work.

Cosmic ray composition study using machine learning at the IceCube Neutrino Observatory Unresolved cited work

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 7cfd0b73-6721-4a41-877c-ffa1bcecb48f · outbound

This paper cites Abbasi et al., Nucl.

Cosmic ray composition study using machine learning at the IceCube Neutrino Observatory Abbasi et al., Nucl

Reference 2

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Observation f749c76a-bd2c-4a50-98fb-3752ac234cf4 · outbound

This paper cites Heck et al., CORSIKA: A Monte Carlo code to simulate extensive air showers, Report FZKA 6019, F orschungszentrum Karlsruhe, 1998.

Cosmic ray composition study using machine learning at the IceCube Neutrino Observatory Heck et al., CORSIKA: A Monte Carlo code to simulate extensive air showers, Report FZKA 6019, F orschungszentrum Karlsruhe, 1998

Reference 3

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Observation c0b72632-9bd6-4b8e-ac75-c33b51a6cf65 · outbound

This paper cites Battistoni et al., AIP Conference Proceedings 896 (2007) 31–49.

Cosmic ray composition study using machine learning at the IceCube Neutrino Observatory Battistoni et al., AIP Conference Proceedings 896 (2007) 31–49

Reference 4

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Observation 450fbf98-0eac-4509-ade4-490f622c7205 · outbound

This paper cites an unresolved cited work.

Cosmic ray composition study using machine learning at the IceCube Neutrino Observatory Unresolved cited work

Reference 5

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Observation c5765f84-4c9d-419f-8e6c-e4aa8303f5af · outbound

This paper cites Andeen and M.

Cosmic ray composition study using machine learning at the IceCube Neutrino Observatory Andeen and M

Reference 6

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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.

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Observation 8a416fdd-0745-4c83-910d-5623e3ab274a · outbound

This paper cites Cosmic Ray Spectrum and Composition from PeV to EeV Using 3 Years of Data From IceTop and IceCube.

Cosmic ray composition study using machine learning at the IceCube Neutrino Observatory Cosmic Ray Spectrum and Composition from PeV to EeV Using 3 Years of Data From IceTop and IceCube

Reference 7

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Observation 149c2c8f-85ea-4dc9-8dc1-613c7ce440a9 · outbound

This paper cites Pedregosa et al., Journal of Machine Learning Research 12 (2011) 2825–2830.

Cosmic ray composition study using machine learning at the IceCube Neutrino Observatory Pedregosa et al., Journal of Machine Learning Research 12 (2011) 2825–2830

Reference 8

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Observation 6177b714-e19a-45c7-82c3-6e3c720e41ba · outbound

This paper cites Cranmer, Computer Physics Communications 136 (2001) 198 – 207.

Cosmic ray composition study using machine learning at the IceCube Neutrino Observatory Cranmer, Computer Physics Communications 136 (2001) 198 – 207

Reference 9

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Observation 4854e74d-17cf-4b6a-a666-61d456157555 · outbound

This paper cites The RooFit toolkit for data modeling.

Cosmic ray composition study using machine learning at the IceCube Neutrino Observatory The RooFit toolkit for data modeling

Reference 10

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Observation 9f344729-743a-4065-b5a6-bd5edba72b8f · outbound

This paper cites an unresolved cited work.

Cosmic ray composition study using machine learning at the IceCube Neutrino Observatory Unresolved cited work

Reference 11

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Observation bbe5eecd-0a05-4903-80db-5a1adf7822ea · outbound

This paper cites Xinhua and E.

Cosmic ray composition study using machine learning at the IceCube Neutrino Observatory Xinhua and E

Reference 12

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Source-reported events for the cited work

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Observation 64f9253f-abbe-4a45-87da-ffa7cf44d0af · outbound

This paper cites Kauer, PoS(ICRC2019)309 (these proceedings).

Cosmic ray composition study using machine learning at the IceCube Neutrino Observatory Kauer, PoS(ICRC2019)309 (these proceedings)

Reference 13

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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.

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Observation fe7a1e98-bbf8-43f1-89ac-53be4f138fb2 · outbound

This paper cites Leszczy´nska and M.

Cosmic ray composition study using machine learning at the IceCube Neutrino Observatory Leszczy´nska and M

Reference 14

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Observation 5dd5e8b4-b1b3-4696-abc6-740beb3d6fed · outbound

This paper cites Schaufel and K.

Cosmic ray composition study using machine learning at the IceCube Neutrino Observatory Schaufel and K

Reference 15

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

No inbound Pith citation observations are available.