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Paper Citation Record · LEDGER

Application of deep learning in top pair and single top quark production at the LHC

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.12871.

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

pith.paper-citation-record.v1
2203.12871 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:30:19.269965Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T17:14:59.609917Z

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 3d1fcbe1-a835-4d6c-ab4c-fd8e75e2414f · inbound

Transformer networks for Heavy flavor jet tagging cites this paper.

Transformer networks for Heavy flavor jet tagging Application of deep learning in top pair and single top quark production at the LHC

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T18:30:19.269965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:30:19.269965Z digest=sha256:e41aeae9438cf1edd123b5badddc75cf3135673db4d5b2835eb581dfef67aea1

Observation 5205a2b4-2934-4d93-a15c-5ea9d7ea7482 · inbound

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

IAFormer: Interaction-Aware Transformer network for collider data analysis Application of deep learning in top pair and single top quark production at the LHC

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:14:59.611541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-22T17:13:47.293753Z digest=sha256:1e2ac96da79005889b1e99c68c772e9c65fa1b4beb66f6b63d820db67cdfff91