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Paper Citation Record · LEDGER

A machine learning-based study of open-charm hadrons in proton-proton collisions at the Large Hadron Collider

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.09839.

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

pith.paper-citation-record.v1
2404.09839 v2

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:30:19.497474Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T17:14:59.599909Z

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 c000f978-d418-4a99-a3d7-7408a97c54a2 · inbound

Transformer networks for Heavy flavor jet tagging cites this paper.

Transformer networks for Heavy flavor jet tagging A machine learning-based study of open-charm hadrons in proton-proton collisions at the Large Hadron Collider

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-12T18:30:19.497474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:30:19.497474Z digest=sha256:b540a8876ca11424bb30a0f4904a80c5cd441655d2aade85c0f79be8a3ebe1d8

Observation c3ff7c53-df93-4ccb-9b2a-047bf872d939 · inbound

IAFormer: Interaction-Aware Transformer network for collider data analysis cites this paper.

IAFormer: Interaction-Aware Transformer network for collider data analysis A machine learning-based study of open-charm hadrons in proton-proton collisions at the Large Hadron Collider

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:14:59.601846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T17:13:47.293753Z digest=sha256:f623a499ac4d0c5c109906ef004321d45ebd62283ed2f5476cd3bb3daed69a19