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Paper Citation Record · LEDGER

Using Graph Neural Networks for Mass Spectrometry Prediction

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.04661.

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

pith.paper-citation-record.v1
2010.04661 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:11:12.219996Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T08:14:25.505833Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 556c8ccb-9674-4548-9797-60d91125df42 · inbound

Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond cites this paper.

Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond Using Graph Neural Networks for Mass Spectrometry Prediction

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T20:11:12.219996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:11:12.219996Z digest=sha256:4d2f32c99353d87def18463f567bfd1657e6165f5e7d2fcf834c0ba01afdb813

Observation 9dab678a-fdf8-4127-9ae5-4356a24e1fbe · inbound

GLACIER: Rethinking Mass Spectrum Prediction as an Object Detection Problem cites this paper.

GLACIER: Rethinking Mass Spectrum Prediction as an Object Detection Problem Using Graph Neural Networks for Mass Spectrometry Prediction

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:14:25.508825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T08:11:04.377613Z digest=sha256:a2518ae38f8fea588b7ce24167c7a9fc2a05355be59558696899d9abc3a269f5