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Paper Citation Record · LEDGER

A neural network approach for line detection in complex atomic emission spectra measured by high-resolution Fourier transform spectroscopy

As of 22 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2501.12276.

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

pith.paper-citation-record.v1
2501.12276 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

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measured 38 of 38 standing notices

One-hop event checks from named stored sources.

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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

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation a731b6c8-081f-46d5-baef-b580bab21b12 · outbound

This paper cites an unresolved cited work.

A neural network approach for line detection in complex atomic emission spectra measured by high-resolution Fourier transform spectroscopy Unresolved cited work

Reference 1

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This paper cites 2005 Physica Scripta 2005 19.

A neural network approach for line detection in complex atomic emission spectra measured by high-resolution Fourier transform spectroscopy 2005 Physica Scripta 2005 19

Reference 2

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A neural network approach for line detection in complex atomic emission spectra measured by high-resolution Fourier transform spectroscopy Unresolved cited work

Reference 3

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This paper cites 2021 Astronomy & Astrophysics645 A106.

A neural network approach for line detection in complex atomic emission spectra measured by high-resolution Fourier transform spectroscopy 2021 Astronomy & Astrophysics645 A106

Reference 4

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A neural network approach for line detection in complex atomic emission spectra measured by high-resolution Fourier transform spectroscopy Unresolved cited work

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A neural network approach for line detection in complex atomic emission spectra measured by high-resolution Fourier transform spectroscopy of California Press)

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Reference 8

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A neural network approach for line detection in complex atomic emission spectra measured by high-resolution Fourier transform spectroscopy Unresolved cited work

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A neural network approach for line detection in complex atomic emission spectra measured by high-resolution Fourier transform spectroscopy 2023 Journal of Magnetic Resonance347 107357

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A neural network approach for line detection in complex atomic emission spectra measured by high-resolution Fourier transform spectroscopy Section A, Physics and Chemistry 74 801

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation abda3a8e-14bd-4afe-a4e3-2a3a6df1b4db · outbound

This paper cites an unresolved cited work.

A neural network approach for line detection in complex atomic emission spectra measured by high-resolution Fourier transform spectroscopy Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:24:29.967358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T17:24:29.916860Z digest=sha256:5a8f3834d3934cf0c82e317f48b5342bc7370950577664332dd866063cd64c80

Observation 382f68bc-cf82-4b5a-9013-132ed0fc9366 · outbound

This paper cites an unresolved cited work.

A neural network approach for line detection in complex atomic emission spectra measured by high-resolution Fourier transform spectroscopy Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:24:29.954659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T17:24:29.920971Z digest=sha256:b8638bef39ca86fa60cc6faceb961305ca13497ecee0828ac46f220e3d6ed36d

Pith citing papers

No inbound Pith citation observations are available.